tt-torch

tt-torch is a PyTorch2.0 and torch-mlir based front-end for tt-mlir.

tt-torch uses venv to keep track of all dependencies. After compiling you can activate the venv by running from the project root directory:

source env/activate

The currently supported models can be found here. There is a brief demo showing how to use the compiler in demos/resnet/resnet50_demo.py

The general compile flow is:

  1. Pytorch model -> torch.compile which creates an fx graph
  2. Several compiler passes on the fx graph including consteval and dead code removal
  3. Conversion to torch-mlir -> torch-backend-mlir -> stableHLO through torch-mlir
  4. Conversion to TTIR -> TTNN -> flatbuffer through tt-mlir
  5. Creating executor with flatbuffer and passing back to user
  6. Copying inputs to device and executing flatbuffer through tt-mlir on each user invocation

In order to speed up model bring-up, users have the option of compiling models op-by-op. This allows in-parallel testing of the model since compilation does not stop at the first error. If enabled, see Controlling Compilation, after step 2, compilation stops and the fx graph is passed to the executor which is returned to the user. Upon execution, whenever a new, unique op is seen (based on op-type and shape on inputs), a new fx graph is created with just one operation, inputs and outputs. This small graph then proceeds through steps 3-4 and is executed in place.

Results of each unique op execution are stored in a json file to be later parsed into either a spreadsheet, or uploaded to a database.

Op-by-op execution is currently performed on the pytorch fx graph, we'll be adding support for op-by-op on the stableHLO graph soon to allow op-by-op bringup of onnx models.

The repository uses pre-commit, read more about it here.

Getting Started

System Dependencies

tt-torch requires the python 3.10 dev package, as well as the venv package. If not already installed, please run the following:

sudo apt-get install python3.10-dev python3.10-venv

Creating a Virtual Environment (skip if you already have one)

Create a virtual environment if you do not already have one in your project:

python3.10 -m venv myvenv

This will create a virtual environemnt in the folder myvenv in the current directory.

Activate the environemnt:

source myvenv/bin/activate

Installing tt-torch

Installation Notes

  • tt-torch requires a pytorch installation that ships with their ABI.
    • The tt-torch wheel lists the following version of torch as an installation requirement: torch@https://download.pytorch.org/whl/cpu-cxx11-abi/torch-2.5.0%2Bcpu.cxx11.abi-cp310-cp310-linux_x86_64.whl
    • This will be installed by pip upon installing the tt-torch wheel
  • The tt-torch wheel contains a fork of torch-mlir. Please ensure that torch-mlir has not been installed in your venv before installing the tt-torch wheel.

Torchvision Install (Required if you need to install torchvision)

If you intend to use torchvision in your project then this step must be done before installing the tt-torch wheel

You will need to build the torchvision wheel yourself with certain build flags. This is because torchvision does not publish a wheel which uses the PyTorch CXX11 ABI.

To install torchvision:

git clone https://github.com/pytorch/vision.git
cd vision
git checkout v0.20.0 # tt-torch requires PyTorch 2.5.0. torchvision 0.20 is the latest version of torchvision that is compatible with PyTorch 2.5.0
pip uninstall -y torchvision # Ensure torchvision is not in your virtual environment
pip install wheel
pip install torch@https://download.pytorch.org/whl/cpu-cxx11-abi/torch-2.5.0%2Bcpu.cxx11.abi-cp310-cp310-linux_x86_64.whl
TORCHVISION_USE_VIDEO_CODEC=0 TORCHVISION_USE_FFMPEG=0 _GLIBCXX_USE_CXX11_ABI=1 USE_CUDA=OFF python setup.py bdist_wheel
pip install dist/torchvision*.whl --force-reinstall

If the install was successful then there's no need to keep the torchvision source around:

cd ..
rm -rf vision

Installing the tt-torch wheel

Download a tt-torch wheel from here

Install the wheel:

pip install <PATH_TO_TT_TORCH_WHEEL>.whl

Updating PYTHONPATH

In addition to the tt-torch python library that gets installed in <YOUR_ENV_ROOT>/lib/python3.x/site-packages, some binaries will be installed in <YOUR_ENV_ROOT>/lib, and some files from tt-metal will be installed under <YOUR_ENV_ROOT>/tt-metal. Python needs to see these installations and so you should update your PYTHONPATH environment variable to include them:

export PYTHONPATH=$PYTHONPATH:<YOUR_ENV_ROOT>:<YOUR_ENV_ROOT>/lib

Compiling and Running a Model

Once you have your torch.nn.Module compile the model:

from tt_torch.dynamo.backend import backend
import torch

class MyModel(torch.nn.Module):
    def __init__(self):
        ...

    def foward(self, ...):
        ...

model = MyModel()

model = torch.compile(model, backend=backend)

inputs = ...

outputs = model(inputs)

Example - Add Two Tensors

Here is an exampe of a small model which adds its inputs running through tt-torch. Try it out!

from tt_torch.dynamo.backend import backend
import torch

class AddTensors(torch.nn.Module):
  def forward(self, x, y):
    return x + y


model = AddTensors()
tt_model = torch.compile(model, backend=backend)

x = torch.ones(5, 5)
y = torch.ones(5, 5)
print(tt_model(x, y))

Prerequisites:

Main project dependencies are:

  • clang 17
  • Ninja
  • CMake >= 3.30
  • python 3.10

On Ubuntu 22.04 systems these can be installed using the following commands:

# Update package list
sudo apt update -y
sudo apt upgrade -y

# Install Clang
sudo apt install clang-17

# Install Ninja
sudo apt install ninja-build

# Install CMake
sudo apt remove cmake -y
pip3 install cmake --upgrade

Ensure cmake can by found in this path pip installed it to. E.g. by adding PATH=$PATH:$HOME/.local/bin to your .bashrc file, and verify installation:

cmake --version

This project requires the GCC 11 toolchain. To check which GCC toolchain is currently in use, run:

clang -v

Look for the line that starts with: Selected GCC installation:. If it is something other than GCC 11, please uninstall that and install GCC 11 using:

sudo apt-get install gcc-11 lib32stdc++-11-dev lib32gcc-11-dev

The project also requires a toolchain build. By default, the toolchain is built in /opt/ttmlir-toolchain. This path is controlled by the TTMLIR_TOOLCHAIN_DIR environment variable.

The toolchain installation only needs to be done once, by running the following commands:

# Create toolchain dir
sudo mkdir -p /opt/ttmlir-toolchain
sudo chown -R $USER /opt/ttmlir-toolchain


# Build environment
cd third_party
export TTMLIR_TOOLCHAIN_DIR=/opt/ttmlir-toolchain/
cmake -B toolchain -DBUILD_TOOLCHAIN=ON
cd -

For more information see tt-mlir build steps.

Compile Steps:

Run the following commands to compile:

source env/activate
cmake -G Ninja -B build
cmake --build build
cmake --install build

Run a basic test to verify:

pytest tests/torch/test_basic.py

tt-torch uses pytest for all unit and model tests.

Tests are organized into unit tests for pytorch (tests/torch), unit tests for onnx (test/onns) and models (tests/models). They can be run locally by running:

source env/activate
pytest -svv tests/torch

Model tests (tests/models) have the option to run op-by-op, see overview. This allows for faster model bring-up as it allows users to find any potential issues in parallel. This is controlled by the --op_by_op_torch or --op_by_op_stablehlo flags. Example:

pytest -svv tests/models/albert --op_by_op_torch

Controlling Compiler Behaviour

You can use the following environment variables to override default behaviour:

Environment VariableBehaviourDefault
TT_TORCH_COMPILE_DEPTHSets the maximum compile depth, see tt_torch/tools/utils.py for options.EXECUTE
TT_TORCH_VERIFY_OP_BY_OPSets whether to verify the output of each compiled op against pytorch when running with compile depth EXECUTE_OP_BY_OP.False
TT_TORCH_VERIFY_INTERMEDIATESSets whether to verify runtime intermediates during execution.False
TT_TORCH_CONSTEVALEnables evaluation of constant expressions (consteval) in the Torch FX graph prior to compilation.False
TT_TORCH_CONSTEVAL_PARAMETERSExtends consteval to include parameters (e.g., model weights) as well as embedded constants.False
TT_TORCH_INLINE_PARAMETERSInlines parameters in the MLIR module (and thus flatbuffer executable) rather than requiring them as inputs. NOTE: The maximum size of a flatbuffer is 2GB so this will cause compilation to fail for sufficiently large modelsFalse
TT_TORCH_IR_LOG_LEVELEnables printing MLIR from Torch to TTNN. It supports two modes; INFO and DEBUG. INFO prints MLIR for all conversions steps (Torch, StableHLO, TTIR and TTNN MLIR graphs). DEBUG prints intermediate MLIR for all passes (IR dump before and after each pass) additionally. Be warned, DEBUG IR printing forces single core compile, so it is much slower.Disable

Controlling Compiler Behaviour Programatically

Instead of using the above environment variables, compiler behaviour can be configured programatically as well.

Here is an example of enabling consteval:

from tt_torch.dynamo.backend import backend
from tt_torch.tools.utils import CompilerConfig
import torch

class MyModel(torch.nn.Module):
    def __init__(self):
        ...

    def foward(self, ...):
        ...

model = MyModel()

cc = CompilerConfig()
cc.enable_consteval = True
cc.consteval_parameters = True # This will enable constant folding on the parameters in addition to any constants

model = torch.compile(model, backend=backend, options=cc)

inputs = ...

outputs = model(inputs)

Pre-Commit

Pre-Commit applies a Git hook to the local repository, ensuring linting is checked and applied on every git commit action. Install it from the root of the repository using:

source env/activate
pre-commit install

If you have already made commits before installing the pre-commit hooks, you can run the following to “catch up”:

pre-commit run --all-files

For more information visit pre-commit

Supported Models

The following models can be currently run through tt-torch as of Feb 3rd, 2025. Please note, there is a known bug causing incorrect output for some models. The PCC is displayed at the end of each test below. This issue will be addressed soon.

Model NameVariantPytest Command
AlbertMasked LM Basetests/models/albert/test_albert_masked_lm.py::test_albert_masked_lm[full-albert/albert-base-v2-eval]
Masked LM Largetests/models/albert/test_albert_masked_lm.py::test_albert_masked_lm[full-albert/albert-large-v2-eval]
Masked LM XLargetests/models/albert/test_albert_masked_lm.py::test_albert_masked_lm[full-albert/albert-xlarge-v2-eval]
Masked LM XXLargetests/models/albert/test_albert_masked_lm.py::test_albert_masked_lm[full-albert/albert-xxlarge-v2-eval]
Sequence Classification Basetests/models/albert/test_albert_sequence_classification.py::test_albert_sequence_classification[full-textattack/albert-base-v2-imdb-eval]
Token Classification Basetests/models/albert/test_albert_token_classification.py::test_albert_token_classification[full-albert/albert-base-v2-eval]
Autoencoder(linear)tests/models/autoencoder_linear/test_autoencoder_linear.py::test_autoencoder_linear[full-eval]
DistilBertbase uncasedtests/models/distilbert/test_distilbert.py::test_distilbert[full-distilbert-base-uncased-eval]
Llama3Btests/models/llama/test_llama_3b.py::test_llama_3b[full-meta-llama/Llama-3.2-3B-eval]
MLPMixertests/models/mlpmixer/test_mlpmixer.py::test_mlpmixer[full-eval]
MNistpytest -svv tests/models/mnist/test_mnist.py::test_mnist_train[full-eval]
MobileNet V2tests/models/MobileNetV2/test_MobileNetV2.py::test_MobileNetV2[full-eval]
TorchVisiontests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-mobilenet_v2]
MobileNet V3Small TorchVisiontests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-mobilenet_v3_small]
Large TorchVisiontests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-mobilenet_v3_large]
OpenPosetests/models/openpose/test_openpose_v2.py::test_openpose_v2[full-eval]
Preciever_IOtests/models/perceiver_io/test_perceiver_io.py::test_perceiver_io[full-eval]
ResNet18tests/models/resnet/test_resnet.py::test_resnet[full-eval]
18 TorchVisiontests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-resnet18]
34 TorchVisiontests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-resnet34]
50tests/models/resnet50/test_resnet50.py::test_resnet[full-eval]
50 TorchVisiontests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-resnet50]
101 TorchVisiontests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-resnet101]
152 TorchVisiontests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-resnet152]
Wide ResNet50tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-wide_resnet50_2]
101tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-wide_resnet101_2]
ResNext50tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-resnext50_32x4d]
101_32x8dtests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-resnext101_32x8d]
101_64x4dtests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-resnext101_64x4d]
Regnety 400tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_y_400mf]
y 800tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_y_800mf]
y 1 6tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_y_1_6gf]
y 3 2tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_y_3_2gf]
y 8tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_y_8gf]
y 16tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_y_16gf]
y 32tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_y_32gf]
x 400tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_x_400mf]
x 800tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_x_800mf]
x 1 6tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_x_1_6gf]
x 3 2tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_x_3_2gf]
x 8tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_x_8gf]
x 16tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_x_16gf]
x 32tests/models/torchvision/test_torchvision_image_classification.py::test_torchvision_image_classification[full-regnet_x_32gf]
YoloV3tests/models/yolov3/test_yolov3.py::test_yolov3[full-eval]

Ops Documentation

This section contains documentation for Ops operations.

Stablehlo Documentation

This section contains documentation for Stablehlo operations.

arith.constant

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1]>,
aten::_safe_softmax4

stablehlo.add::ttnn.add

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[256,256]>,
Tensor<[256,256]>,
ttnn.addaten::add.Tensor6
1Tensor<[1,1,32,32]>,
Tensor<[1,1,32,32]>,
ttnn.addaten::add.Tensor4
2Tensor<[1,32,1]>,
Tensor<[1,32,1]>,
ttnn.addaten::add.Tensor4
3Tensor<[1,32,32,128]>,
Tensor<[1,32,32,128]>,
ttnn.addaten::add.Tensor5
4Tensor<[1,32,32,32]>,
Tensor<[1,32,32,32]>,
ttnn.addaten::add.Tensor4
5Tensor<[1,32,4096]>,
Tensor<[1,32,4096]>,
ttnn.addaten::add.Tensor5
6Tensor<[32]>,
Tensor<[32]>,
ttnn.addaten::arange4
7Tensor<[32,1]>,
Tensor<[32,1]>,
ttnn.addaten::triu4
8Tensor<[1,7,768]>,
Tensor<[1,7,768]>,
ttnn.addaten::add.Tensor5
9Tensor<[7]>,
Tensor<[7]>,
ttnn.addaten::add.Tensor4
10Tensor<[1,7,1]>,
Tensor<[1,7,1]>,
ttnn.addaten::add.Tensor4
11Tensor<[7,2304]>,
Tensor<[7,2304]>,
ttnn.addaten::add.Tensor4
12Tensor<[1,12,7,7]>,
Tensor<[1,12,7,7]>,
ttnn.addaten::add.Tensor4
13Tensor<[7,768]>,
Tensor<[7,768]>,
ttnn.addaten::add.Tensor4
14Tensor<[7,3072]>,
Tensor<[7,3072]>,
ttnn.addaten::add.Tensor4
15Tensor<[1,7,3072]>,
Tensor<[1,7,3072]>,
ttnn.addaten::add.Tensor5
16Tensor<[1]>,
Tensor<[1]>,
ttnn.addaten::arange4
17Tensor<[1,32,112,112]>,
Tensor<[1,32,112,112]>,
ttnn.addaten::add.Tensor4
18Tensor<[64]>,
Tensor<[64]>,
ttnn.addaten::add.Tensor4
19Tensor<[1,64,112,112]>,
Tensor<[1,64,112,112]>,
ttnn.addaten::add.Tensor4
20Tensor<[1,64,56,56]>,
Tensor<[1,64,56,56]>,
ttnn.addaten::add.Tensor4
21Tensor<[128]>,
Tensor<[128]>,
ttnn.addaten::add.Tensor4
22Tensor<[1,128,56,56]>,
Tensor<[1,128,56,56]>,
ttnn.addaten::add.Tensor4
23Tensor<[1,128,28,28]>,
Tensor<[1,128,28,28]>,
ttnn.addaten::add.Tensor4
24Tensor<[256]>,
Tensor<[256]>,
ttnn.addaten::add.Tensor4
25Tensor<[1,256,28,28]>,
Tensor<[1,256,28,28]>,
ttnn.addaten::add.Tensor4
26Tensor<[512]>,
Tensor<[512]>,
ttnn.addaten::add.Tensor4
27Tensor<[1,512,28,28]>,
Tensor<[1,512,28,28]>,
ttnn.addaten::add.Tensor4
28Tensor<[1,19,28,28]>,
Tensor<[1,19,28,28]>,
ttnn.addaten::convolution4
29Tensor<[1,38,28,28]>,
Tensor<[1,38,28,28]>,
ttnn.addaten::convolution4
30Tensor<[256,512]>,
Tensor<[256,512]>,
ttnn.addaten::add.Tensor4
31Tensor<[1,256,1]>,
Tensor<[1,256,1]>,
ttnn.addaten::add.Tensor4
32Tensor<[1,256,512]>,
Tensor<[1,256,512]>,
ttnn.addaten::add.Tensor4
33Tensor<[1,1000]>,
Tensor<[1,1000]>,
ttnn.addaten::add.Tensor4
34Tensor<[1,1024,512]>,
Tensor<[1,1024,512]>,
ttnn.addaten::convolution4
35Tensor<[1,256,256]>,
Tensor<[1,256,256]>,
ttnn.addaten::gelu4
36Tensor<[1,64,1,1]>,
Tensor<[1,64,1,1]>,
ttnn.addaten::add.Tensor4
37Tensor<[1,64,360,640]>,
Tensor<[1,64,360,640]>,
ttnn.addaten::add.Tensor4
38Tensor<[1,64,180,320]>,
Tensor<[1,64,180,320]>,
ttnn.addaten::add.Tensor4
39Tensor<[1,256,1,1]>,
Tensor<[1,256,1,1]>,
ttnn.addaten::add.Tensor4
40Tensor<[1,256,180,320]>,
Tensor<[1,256,180,320]>,
ttnn.addaten::add.Tensor4
41Tensor<[1,128,1,1]>,
Tensor<[1,128,1,1]>,
ttnn.addaten::add.Tensor4
42Tensor<[1,128,180,320]>,
Tensor<[1,128,180,320]>,
ttnn.addaten::add.Tensor4
43Tensor<[1,128,90,160]>,
Tensor<[1,128,90,160]>,
ttnn.addaten::add.Tensor4
44Tensor<[1,512,1,1]>,
Tensor<[1,512,1,1]>,
ttnn.addaten::add.Tensor4
45Tensor<[1,512,90,160]>,
Tensor<[1,512,90,160]>,
ttnn.addaten::add.Tensor4
46Tensor<[1,256,90,160]>,
Tensor<[1,256,90,160]>,
ttnn.addaten::add.Tensor4
47Tensor<[1,256,45,80]>,
Tensor<[1,256,45,80]>,
ttnn.addaten::add.Tensor4
48Tensor<[1,1024,1,1]>,
Tensor<[1,1024,1,1]>,
ttnn.addaten::add.Tensor4
49Tensor<[1,1024,45,80]>,
Tensor<[1,1024,45,80]>,
ttnn.addaten::add.Tensor4
50Tensor<[1,512,45,80]>,
Tensor<[1,512,45,80]>,
ttnn.addaten::add.Tensor4
51Tensor<[1,512,23,40]>,
Tensor<[1,512,23,40]>,
ttnn.addaten::add.Tensor4
52Tensor<[1,2048,1,1]>,
Tensor<[1,2048,1,1]>,
ttnn.addaten::add.Tensor4
53Tensor<[1,2048,23,40]>,
Tensor<[1,2048,23,40]>,
ttnn.addaten::add.Tensor4
54Tensor<[23]>,
Tensor<[23]>,
ttnn.addaten::add.Tensor4
55Tensor<[40]>,
Tensor<[40]>,
ttnn.addaten::add.Tensor4
56Tensor<[1,1,40]>,
Tensor<[1,1,40]>,
ttnn.addaten::add.Tensor4
57Tensor<[1,23,1]>,
Tensor<[1,23,1]>,
ttnn.addaten::add.Tensor4
58Tensor<[920,1,256]>,
Tensor<[920,1,256]>,
ttnn.addaten::add.Tensor5
59Tensor<[920,256]>,
Tensor<[920,256]>,
ttnn.addaten::add.Tensor4
60Tensor<[920,1,1]>,
Tensor<[920,1,1]>,
ttnn.addaten::add.Tensor4
61Tensor<[920,2048]>,
Tensor<[920,2048]>,
ttnn.addaten::add.Tensor4
62Tensor<[100,1,256]>,
Tensor<[100,1,256]>,
ttnn.addaten::add.Tensor5
63Tensor<[100,256]>,
Tensor<[100,256]>,
ttnn.addaten::add.Tensor4
64Tensor<[100,1,1]>,
Tensor<[100,1,1]>,
ttnn.addaten::add.Tensor4
65Tensor<[100,2048]>,
Tensor<[100,2048]>,
ttnn.addaten::add.Tensor4
66Tensor<[6,1,100,92]>,
Tensor<[6,1,100,92]>,
ttnn.addaten::add.Tensor4
67Tensor<[6,1,100,256]>,
Tensor<[6,1,100,256]>,
ttnn.addaten::add.Tensor4
68Tensor<[6,1,100,4]>,
Tensor<[6,1,100,4]>,
ttnn.addaten::add.Tensor4
69Tensor<[8,920,920]>,
Tensor<[8,920,920]>,
ttnn.addaten::baddbmm4
70Tensor<[8,100,920]>,
Tensor<[8,100,920]>,
ttnn.addaten::baddbmm4
71Tensor<[1,256,23,40]>,
Tensor<[1,256,23,40]>,
ttnn.addaten::convolution4
72Tensor<[1,10]>,
Tensor<[1,10]>,
ttnn.addaten::add.Tensor5
73Tensor<[1,10,768]>,
Tensor<[1,10,768]>,
ttnn.addaten::add.Tensor5
74Tensor<[1,10,1]>,
Tensor<[1,10,1]>,
ttnn.addaten::add.Tensor4
75Tensor<[10,768]>,
Tensor<[10,768]>,
ttnn.addaten::add.Tensor4
76Tensor<[1,12,10,10]>,
Tensor<[1,12,10,10]>,
ttnn.addaten::add.Tensor4
77Tensor<[10,3072]>,
Tensor<[10,3072]>,
ttnn.addaten::add.Tensor4
78Tensor<[10,250002]>,
Tensor<[10,250002]>,
ttnn.addaten::add.Tensor4
79Tensor<[1,10,3072]>,
Tensor<[1,10,3072]>,
ttnn.addaten::gelu4
80Tensor<[1,1280]>,
Tensor<[1,1280]>,
ttnn.addaten::add.Tensor4
81Tensor<[1,32,1,1]>,
Tensor<[1,32,1,1]>,
ttnn.addaten::add.Tensor4
82Tensor<[1,320,64,64]>,
Tensor<[1,320,64,64]>,
ttnn.addaten::add.Tensor4
83Tensor<[1,320]>,
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ttnn.addaten::convolution4
305Tensor<[1,256,120,160]>,
Tensor<[1,256,120,160]>,
ttnn.addaten::convolution4
306Tensor<[1,128,60,80]>,
Tensor<[1,128,60,80]>,
ttnn.addaten::convolution4
307Tensor<[1,128,15,20]>,
Tensor<[1,128,15,20]>,
ttnn.addaten::convolution4
308Tensor<[1,512,60,80]>,
Tensor<[1,512,60,80]>,
ttnn.addaten::convolution4
309Tensor<[1,320,30,40]>,
Tensor<[1,320,30,40]>,
ttnn.addaten::convolution4
310Tensor<[1,320,15,20]>,
Tensor<[1,320,15,20]>,
ttnn.addaten::convolution4
311Tensor<[1,1280,30,40]>,
Tensor<[1,1280,30,40]>,
ttnn.addaten::convolution4
312Tensor<[1,512,15,20]>,
Tensor<[1,512,15,20]>,
ttnn.addaten::convolution4
313Tensor<[1,2048,15,20]>,
Tensor<[1,2048,15,20]>,
ttnn.addaten::convolution4
314Tensor<[1,2,30,40]>,
Tensor<[1,2,30,40]>,
ttnn.addaten::convolution4
315Tensor<[1,2,60,80]>,
Tensor<[1,2,60,80]>,
ttnn.addaten::convolution4
316Tensor<[1,2,120,160]>,
Tensor<[1,2,120,160]>,
ttnn.addaten::convolution4
317Tensor<[1,1,480,640]>,
Tensor<[1,1,480,640]>,
ttnn.addaten::convolution4
318Tensor<[1,19200,256]>,
Tensor<[1,19200,256]>,
ttnn.addaten::gelu4
319Tensor<[1,4800,512]>,
Tensor<[1,4800,512]>,
ttnn.addaten::gelu4
320Tensor<[1,1200,1280]>,
Tensor<[1,1200,1280]>,
ttnn.addaten::gelu4
321Tensor<[1,300,2048]>,
Tensor<[1,300,2048]>,
ttnn.addaten::gelu4
322Tensor<[1,197,768]>,
Tensor<[1,197,768]>,
ttnn.addaten::add.Tensor5
323Tensor<[1,197,1]>,
Tensor<[1,197,1]>,
ttnn.addaten::add.Tensor4
324Tensor<[197,768]>,
Tensor<[197,768]>,
ttnn.addaten::add.Tensor4
325Tensor<[197,3072]>,
Tensor<[197,3072]>,
ttnn.addaten::add.Tensor4
326Tensor<[1,768,14,14]>,
Tensor<[1,768,14,14]>,
ttnn.addaten::convolution4
327Tensor<[1,197,3072]>,
Tensor<[1,197,3072]>,
ttnn.addaten::gelu4
328Tensor<[1,16384,1]>,
Tensor<[1,16384,1]>,
ttnn.addaten::add.Tensor4
329Tensor<[1,16384,32]>,
Tensor<[1,16384,32]>,
ttnn.addaten::add.Tensor4
330Tensor<[16384,32]>,
Tensor<[16384,32]>,
ttnn.addaten::add.Tensor4
331Tensor<[1,256,32]>,
Tensor<[1,256,32]>,
ttnn.addaten::add.Tensor4
332Tensor<[256,32]>,
Tensor<[256,32]>,
ttnn.addaten::add.Tensor4
333Tensor<[16384,128]>,
Tensor<[16384,128]>,
ttnn.addaten::add.Tensor4
334Tensor<[1,4096,64]>,
Tensor<[1,4096,64]>,
ttnn.addaten::add.Tensor4
335Tensor<[4096,64]>,
Tensor<[4096,64]>,
ttnn.addaten::add.Tensor4
336Tensor<[1,256,64]>,
Tensor<[1,256,64]>,
ttnn.addaten::add.Tensor4
337Tensor<[256,64]>,
Tensor<[256,64]>,
ttnn.addaten::add.Tensor4
338Tensor<[4096,256]>,
Tensor<[4096,256]>,
ttnn.addaten::add.Tensor4
339Tensor<[1,1024,160]>,
Tensor<[1,1024,160]>,
ttnn.addaten::add.Tensor4
340Tensor<[1024,160]>,
Tensor<[1024,160]>,
ttnn.addaten::add.Tensor4
341Tensor<[1,256,160]>,
Tensor<[1,256,160]>,
ttnn.addaten::add.Tensor4
342Tensor<[256,160]>,
Tensor<[256,160]>,
ttnn.addaten::add.Tensor4
343Tensor<[256,1024]>,
Tensor<[256,1024]>,
ttnn.addaten::add.Tensor4
344Tensor<[1,16384,256]>,
Tensor<[1,16384,256]>,
ttnn.addaten::add.Tensor4
345Tensor<[128,1]>,
Tensor<[128,1]>,
ttnn.addaten::add.Tensor4
346Tensor<[1,256,128,128]>,
Tensor<[1,256,128,128]>,
ttnn.addaten::add.Tensor5
347Tensor<[1,4096,256]>,
Tensor<[1,4096,256]>,
ttnn.addaten::add.Tensor4
348Tensor<[1,1024,256]>,
Tensor<[1,1024,256]>,
ttnn.addaten::add.Tensor4
349Tensor<[1,32,128,128]>,
Tensor<[1,32,128,128]>,
ttnn.addaten::convolution4
350Tensor<[1,32,16,16]>,
Tensor<[1,32,16,16]>,
ttnn.addaten::convolution4
351Tensor<[1,64,64,64]>,
Tensor<[1,64,64,64]>,
ttnn.addaten::convolution4
352Tensor<[1,64,16,16]>,
Tensor<[1,64,16,16]>,
ttnn.addaten::convolution4
353Tensor<[1,160,32,32]>,
Tensor<[1,160,32,32]>,
ttnn.addaten::convolution4
354Tensor<[1,160,16,16]>,
Tensor<[1,160,16,16]>,
ttnn.addaten::convolution4
355Tensor<[1,150,128,128]>,
Tensor<[1,150,128,128]>,
ttnn.addaten::convolution4
356Tensor<[1,16384,128]>,
Tensor<[1,16384,128]>,
ttnn.addaten::gelu4
357Tensor<[1,256,1024]>,
Tensor<[1,256,1024]>,
ttnn.addaten::gelu4
358Tensor<[1,1,7,7]>,
Tensor<[1,1,7,7]>,
ttnn.addaten::add.Tensor4
359Tensor<[1,7,4544]>,
Tensor<[1,7,4544]>,
ttnn.addaten::add.Tensor4
360Tensor<[1,71,7,64]>,
Tensor<[1,71,7,64]>,
ttnn.addaten::add.Tensor5
361Tensor<[1,1,7,64]>,
Tensor<[1,1,7,64]>,
ttnn.addaten::add.Tensor5
362Tensor<[1,71,7,7]>,
Tensor<[1,71,7,7]>,
ttnn.addaten::add.Tensor4
363Tensor<[1,7,18176]>,
Tensor<[1,7,18176]>,
ttnn.addaten::gelu4
364Tensor<[7,1]>,
Tensor<[7,1]>,
ttnn.addaten::triu4
365Tensor<[1,16,112,112]>,
Tensor<[1,16,112,112]>,
ttnn.addaten::add.Tensor4
366Tensor<[96]>,
Tensor<[96]>,
ttnn.addaten::add.Tensor4
367Tensor<[1,96,112,112]>,
Tensor<[1,96,112,112]>,
ttnn.addaten::add.Tensor4
368Tensor<[1,96,56,56]>,
Tensor<[1,96,56,56]>,
ttnn.addaten::add.Tensor4
369Tensor<[144]>,
Tensor<[144]>,
ttnn.addaten::add.Tensor4
370Tensor<[1,144,56,56]>,
Tensor<[1,144,56,56]>,
ttnn.addaten::add.Tensor4
371Tensor<[1,144,28,28]>,
Tensor<[1,144,28,28]>,
ttnn.addaten::add.Tensor4
372Tensor<[1,32,28,28]>,
Tensor<[1,32,28,28]>,
ttnn.addaten::add.Tensor4
373Tensor<[192]>,
Tensor<[192]>,
ttnn.addaten::add.Tensor4
374Tensor<[1,192,28,28]>,
Tensor<[1,192,28,28]>,
ttnn.addaten::add.Tensor4
375Tensor<[1,192,14,14]>,
Tensor<[1,192,14,14]>,
ttnn.addaten::add.Tensor4
376Tensor<[1,64,14,14]>,
Tensor<[1,64,14,14]>,
ttnn.addaten::add.Tensor4
377Tensor<[384]>,
Tensor<[384]>,
ttnn.addaten::add.Tensor4
378Tensor<[1,384,14,14]>,
Tensor<[1,384,14,14]>,
ttnn.addaten::add.Tensor4
379Tensor<[1,96,14,14]>,
Tensor<[1,96,14,14]>,
ttnn.addaten::add.Tensor4
380Tensor<[576]>,
Tensor<[576]>,
ttnn.addaten::add.Tensor4
381Tensor<[1,576,14,14]>,
Tensor<[1,576,14,14]>,
ttnn.addaten::add.Tensor4
382Tensor<[1,576,7,7]>,
Tensor<[1,576,7,7]>,
ttnn.addaten::add.Tensor4
383Tensor<[960]>,
Tensor<[960]>,
ttnn.addaten::add.Tensor4
384Tensor<[1,960,7,7]>,
Tensor<[1,960,7,7]>,
ttnn.addaten::add.Tensor4
385Tensor<[1,320,7,7]>,
Tensor<[1,320,7,7]>,
ttnn.addaten::add.Tensor4
386Tensor<[1,1280,7,7]>,
Tensor<[1,1280,7,7]>,
ttnn.addaten::add.Tensor4
387Tensor<[1,12,128]>,
Tensor<[1,12,128]>,
ttnn.addaten::add.Tensor5
388Tensor<[1,12,1]>,
Tensor<[1,12,1]>,
ttnn.addaten::add.Tensor4
389Tensor<[12,768]>,
Tensor<[12,768]>,
ttnn.addaten::add.Tensor4
390Tensor<[1,12,12,12]>,
Tensor<[1,12,12,12]>,
ttnn.addaten::add.Tensor4
391Tensor<[1,12,768]>,
Tensor<[1,12,768]>,
ttnn.addaten::add.Tensor5
392Tensor<[12,3072]>,
Tensor<[12,3072]>,
ttnn.addaten::add.Tensor4
393Tensor<[1,12,3072]>,
Tensor<[1,12,3072]>,
ttnn.addaten::add.Tensor5
394Tensor<[12,2]>,
Tensor<[12,2]>,
ttnn.addaten::add.Tensor4
395Tensor<[1,9,128]>,
Tensor<[1,9,128]>,
ttnn.addaten::add.Tensor5
396Tensor<[1,9,1]>,
Tensor<[1,9,1]>,
ttnn.addaten::add.Tensor4
397Tensor<[9,768]>,
Tensor<[9,768]>,
ttnn.addaten::add.Tensor4
398Tensor<[1,12,9,9]>,
Tensor<[1,12,9,9]>,
ttnn.addaten::add.Tensor4
399Tensor<[1,9,768]>,
Tensor<[1,9,768]>,
ttnn.addaten::add.Tensor5
400Tensor<[9,3072]>,
Tensor<[9,3072]>,
ttnn.addaten::add.Tensor4
401Tensor<[1,9,3072]>,
Tensor<[1,9,3072]>,
ttnn.addaten::add.Tensor5
402Tensor<[9,128]>,
Tensor<[9,128]>,
ttnn.addaten::add.Tensor4
403Tensor<[9,30000]>,
Tensor<[9,30000]>,
ttnn.addaten::add.Tensor4
404Tensor<[9,2048]>,
Tensor<[9,2048]>,
ttnn.addaten::add.Tensor4
405Tensor<[1,16,9,9]>,
Tensor<[1,16,9,9]>,
ttnn.addaten::add.Tensor4
406Tensor<[1,9,2048]>,
Tensor<[1,9,2048]>,
ttnn.addaten::add.Tensor5
407Tensor<[9,8192]>,
Tensor<[9,8192]>,
ttnn.addaten::add.Tensor4
408Tensor<[1,9,8192]>,
Tensor<[1,9,8192]>,
ttnn.addaten::add.Tensor5
409Tensor<[9,1024]>,
Tensor<[9,1024]>,
ttnn.addaten::add.Tensor4
410Tensor<[1,9,1024]>,
Tensor<[1,9,1024]>,
ttnn.addaten::add.Tensor5
411Tensor<[9,4096]>,
Tensor<[9,4096]>,
ttnn.addaten::add.Tensor4
412Tensor<[1,9,4096]>,
Tensor<[1,9,4096]>,
ttnn.addaten::add.Tensor5
413Tensor<[1,64,9,9]>,
Tensor<[1,64,9,9]>,
ttnn.addaten::add.Tensor4
414Tensor<[9,16384]>,
Tensor<[9,16384]>,
ttnn.addaten::add.Tensor4
415Tensor<[1,9,16384]>,
Tensor<[1,9,16384]>,
ttnn.addaten::add.Tensor5
416Tensor<[1,2]>,
Tensor<[1,2]>,
ttnn.addaten::add.Tensor4
417Tensor<[1,14,128]>,
Tensor<[1,14,128]>,
ttnn.addaten::add.Tensor5
418Tensor<[1,14,1]>,
Tensor<[1,14,1]>,
ttnn.addaten::add.Tensor4
419Tensor<[14,768]>,
Tensor<[14,768]>,
ttnn.addaten::add.Tensor4
420Tensor<[1,12,14,14]>,
Tensor<[1,12,14,14]>,
ttnn.addaten::add.Tensor4
421Tensor<[1,14,768]>,
Tensor<[1,14,768]>,
ttnn.addaten::add.Tensor5
422Tensor<[14,3072]>,
Tensor<[14,3072]>,
ttnn.addaten::add.Tensor4
423Tensor<[1,14,3072]>,
Tensor<[1,14,3072]>,
ttnn.addaten::add.Tensor5
424Tensor<[14,2]>,
Tensor<[14,2]>,
ttnn.addaten::add.Tensor4
425Tensor<[1,50,768]>,
Tensor<[1,50,768]>,
ttnn.addaten::add.Tensor5
426Tensor<[1,50,1]>,
Tensor<[1,50,1]>,
ttnn.addaten::add.Tensor4
427Tensor<[50,768]>,
Tensor<[50,768]>,
ttnn.addaten::add.Tensor4
428Tensor<[50,3072]>,
Tensor<[50,3072]>,
ttnn.addaten::add.Tensor4
429Tensor<[2,7,512]>,
Tensor<[2,7,512]>,
ttnn.addaten::add.Tensor4
430Tensor<[2,7,1]>,
Tensor<[2,7,1]>,
ttnn.addaten::add.Tensor4
431Tensor<[2,1,7,7]>,
Tensor<[2,1,7,7]>,
ttnn.addaten::add.Tensor5
432Tensor<[14,512]>,
Tensor<[14,512]>,
ttnn.addaten::add.Tensor4
433Tensor<[2,8,7,7]>,
Tensor<[2,8,7,7]>,
ttnn.addaten::add.Tensor4
434Tensor<[14,2048]>,
Tensor<[14,2048]>,
ttnn.addaten::add.Tensor4
435Tensor<[2]>,
Tensor<[2]>,
ttnn.addaten::arange4
436Tensor<[1,197,1024]>,
Tensor<[1,197,1024]>,
ttnn.addaten::add.Tensor4
437Tensor<[197,1024]>,
Tensor<[197,1024]>,
ttnn.addaten::add.Tensor4
438Tensor<[27]>,
Tensor<[27]>,
ttnn.addaten::add.Tensor4
439Tensor<[27,1]>,
Tensor<[27,1]>,
ttnn.addaten::add.Tensor4
440Tensor<[1,16,27,27]>,
Tensor<[1,16,27,27]>,
ttnn.addaten::add.Tensor5
441Tensor<[196,196]>,
Tensor<[196,196]>,
ttnn.addaten::add.Tensor4
442Tensor<[1,16,197,197]>,
Tensor<[1,16,197,197]>,
ttnn.addaten::add.Tensor5
443Tensor<[197,4096]>,
Tensor<[197,4096]>,
ttnn.addaten::add.Tensor4
444Tensor<[1,1024]>,
Tensor<[1,1024]>,
ttnn.addaten::add.Tensor4
445Tensor<[197]>,
Tensor<[197]>,
ttnn.addaten::arange4
446Tensor<[1,197,4096]>,
Tensor<[1,197,4096]>,
ttnn.addaten::gelu4
447Tensor<[1,12,27,27]>,
Tensor<[1,12,27,27]>,
ttnn.addaten::add.Tensor5
448Tensor<[1,12,197,197]>,
Tensor<[1,12,197,197]>,
ttnn.addaten::add.Tensor5
449Tensor<[1,64]>,
Tensor<[1,64]>,
ttnn.addaten::add.Tensor4
450Tensor<[1,12]>,
Tensor<[1,12]>,
ttnn.addaten::add.Tensor4
451Tensor<[1,784]>,
Tensor<[1,784]>,
ttnn.addaten::add.Tensor4

stablehlo.and::ttnn.and

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[19]>,
Tensor<[19]>,
ttnn.andaten::logical_and5
1Tensor<[197]>,
Tensor<[197]>,
ttnn.andaten::logical_and5

stablehlo.broadcast_in_dim

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,32]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
1Tensor<[1,32,32,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
2Scalar,
dims: []
aten::_safe_softmax4
3Tensor<[1,1,32,32]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
4Tensor<[1,1,1,32]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
5Tensor<[1,32,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
6Tensor<[32]>,
dims: [0]
aten::arange4
7Tensor<[1,1,32]>,
dims: [0, 1, 2]
aten::bmm4
8Tensor<[32,128,32]>,
dims: [0, 1, 2]
aten::bmm4
9Tensor<[32,32,128]>,
dims: [0, 1, 2]
aten::bmm4
10Tensor<[32]>,
dims: [1]
aten::gt.Tensor4
11Tensor<[32,1]>,
dims: [0, 1]
aten::gt.Tensor4
12Tensor<[1,32,32,128]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
13Tensor<[1,32,128,32]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
14Tensor<[1,32,128]>,
dims: [0, 1, 2]
aten::mul.Tensor4
15Tensor<[1,32,4096]>,
dims: [0, 1, 2]
aten::mul.Tensor4
16Tensor<[4096]>,
dims: [2]
aten::mul.Tensor4
17Tensor<[1,1,32,128]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
18Tensor<[1,32]>,
dims: [0, 1]
aten::triu4
19Tensor<[32,32]>,
dims: [0, 1]
aten::triu4
20Tensor<[1,12,7,7]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
21Tensor<[1,12,7,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
22Tensor<[7]>,
dims: [0]
aten::add.Tensor4
23Tensor<[1,7,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
24Tensor<[1,7,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
25Tensor<[768]>,
dims: [2]
aten::add.Tensor4
26Tensor<[7,2304]>,
dims: [0, 1]
aten::add.Tensor4
27Tensor<[2304]>,
dims: [1]
aten::add.Tensor4
28Tensor<[1,1,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
29Tensor<[7,768]>,
dims: [0, 1]
aten::add.Tensor4
30Tensor<[768]>,
dims: [1]
aten::add.Tensor4
31Tensor<[7,3072]>,
dims: [0, 1]
aten::add.Tensor4
32Tensor<[3072]>,
dims: [1]
aten::add.Tensor4
33Tensor<[1,7,3072]>,
dims: [0, 1, 2]
aten::add.Tensor4
34Tensor<[1]>,
dims: [0]
aten::arange4
35Tensor<[12,64,7]>,
dims: [0, 1, 2]
aten::bmm4
36Tensor<[12,7,64]>,
dims: [0, 1, 2]
aten::bmm4
37Tensor<[1,7]>,
dims: [0, 1]
aten::eq.Scalar4
38Tensor<[1,1,1,7]>,
dims: [0, 1, 2, 3]
aten::expand4
39Tensor<[7]>,
dims: [1]
aten::lt.Tensor4
40Tensor<[7,1]>,
dims: [0, 1]
aten::lt.Tensor4
41Tensor<[1,12,7,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
42Tensor<[1,12,64,7]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
43Tensor<[2304]>,
dims: [0]
aten::mul.Tensor4
44Tensor<[768]>,
dims: [0]
aten::mul.Tensor4
45Tensor<[3072]>,
dims: [0]
aten::mul.Tensor4
46Tensor<[7,7]>,
dims: [0, 1]
aten::where.self4
47Tensor<[1,32,112,112]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
48Tensor<[32,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
49Tensor<[64]>,
dims: [0]
aten::add.Tensor4
50Tensor<[1,64,112,112]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
51Tensor<[64,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
52Tensor<[1,64,56,56]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
53Tensor<[128]>,
dims: [0]
aten::add.Tensor4
54Tensor<[1,128,56,56]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
55Tensor<[128,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
56Tensor<[1,128,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
57Tensor<[256]>,
dims: [0]
aten::add.Tensor4
58Tensor<[1,256,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
59Tensor<[256,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
60Tensor<[512]>,
dims: [0]
aten::add.Tensor4
61Tensor<[1,512,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
62Tensor<[512,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
63Tensor<[1,19,28,28]>,
dims: [0, 1, 2, 3]
aten::convolution4
64Tensor<[19,1,1]>,
dims: [1, 2, 3]
aten::convolution4
65Tensor<[1,38,28,28]>,
dims: [0, 1, 2, 3]
aten::convolution4
66Tensor<[38,1,1]>,
dims: [1, 2, 3]
aten::convolution4
67Tensor<[256,512]>,
dims: [0, 1]
aten::add.Tensor4
68Tensor<[512]>,
dims: [1]
aten::add.Tensor4
69Tensor<[1,256,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
70Tensor<[1,256,512]>,
dims: [0, 1, 2]
aten::add.Tensor4
71Tensor<[512]>,
dims: [2]
aten::add.Tensor4
72Tensor<[256,256]>,
dims: [0, 1]
aten::add.Tensor4
73Tensor<[256]>,
dims: [1]
aten::add.Tensor4
74Tensor<[1,1000]>,
dims: [0, 1]
aten::add.Tensor4
75Tensor<[1000]>,
dims: [1]
aten::add.Tensor4
76Tensor<[1,1024,512]>,
dims: [0, 1, 2]
aten::convolution4
77Tensor<[1024,1]>,
dims: [1, 2]
aten::convolution4
78Tensor<[256,1]>,
dims: [1, 2]
aten::convolution4
79Tensor<[1,512]>,
dims: [0, 1]
aten::mean.dim4
80Tensor<[1000]>,
dims: [0]
aten::mul.Tensor4
81Tensor<[8,920,920]>,
dims: [0, 1, 2]
aten::_softmax4
82Tensor<[8,920,1]>,
dims: [0, 1, 2]
aten::_softmax4
83Tensor<[8,100,100]>,
dims: [0, 1, 2]
aten::_softmax4
84Tensor<[8,100,1]>,
dims: [0, 1, 2]
aten::_softmax4
85Tensor<[8,100,920]>,
dims: [0, 1, 2]
aten::_softmax4
86Tensor<[1,64,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
87Tensor<[1,64,360,640]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
88Tensor<[1,64,180,320]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
89Tensor<[1,256,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
90Tensor<[1,256,180,320]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
91Tensor<[1,128,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
92Tensor<[1,128,180,320]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
93Tensor<[1,128,90,160]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
94Tensor<[1,512,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
95Tensor<[1,512,90,160]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
96Tensor<[1,256,90,160]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
97Tensor<[1,256,45,80]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
98Tensor<[1,1024,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
99Tensor<[1,1024,45,80]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
100Tensor<[1,512,45,80]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
101Tensor<[1,512,23,40]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
102Tensor<[1,2048,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
103Tensor<[1,2048,23,40]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
104Tensor<[23]>,
dims: [0]
aten::add.Tensor4
105Tensor<[40]>,
dims: [0]
aten::add.Tensor4
106Tensor<[1,1,40]>,
dims: [0, 1, 2]
aten::add.Tensor4
107Tensor<[1,23,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
108Tensor<[920,1,256]>,
dims: [0, 1, 2]
aten::add.Tensor4
109Tensor<[256]>,
dims: [2]
aten::add.Tensor4
110Tensor<[920,256]>,
dims: [0, 1]
aten::add.Tensor4
111Tensor<[920,1,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
112Tensor<[920,2048]>,
dims: [0, 1]
aten::add.Tensor4
113Tensor<[2048]>,
dims: [1]
aten::add.Tensor4
114Tensor<[100,256]>,
dims: [0, 1]
aten::add.Tensor4
115Tensor<[100,1,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
116Tensor<[100,1,256]>,
dims: [0, 1, 2]
aten::add.Tensor4
117Tensor<[100,2048]>,
dims: [0, 1]
aten::add.Tensor4
118Tensor<[6,1,100,92]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
119Tensor<[92]>,
dims: [3]
aten::add.Tensor4
120Tensor<[6,1,100,256]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
121Tensor<[256]>,
dims: [3]
aten::add.Tensor4
122Tensor<[6,1,100,4]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
123Tensor<[4]>,
dims: [3]
aten::add.Tensor4
124Tensor<[8,32,920]>,
dims: [0, 1, 2]
aten::baddbmm4
125Tensor<[8,1,920]>,
dims: [0, 1, 2]
aten::baddbmm4
126Tensor<[920,256,256]>,
dims: [0, 1, 2]
aten::bmm4
127Tensor<[8,920,32]>,
dims: [0, 1, 2]
aten::bmm4
128Tensor<[8,32,100]>,
dims: [0, 1, 2]
aten::bmm4
129Tensor<[8,100,32]>,
dims: [0, 1, 2]
aten::bmm4
130Tensor<[6,256,92]>,
dims: [0, 1, 2]
aten::bmm4
131Tensor<[6,256,256]>,
dims: [0, 1, 2]
aten::bmm4
132Tensor<[1,256,23,40]>,
dims: [0, 1, 2, 3]
aten::convolution4
133Tensor<[1,23,40]>,
dims: [0, 1, 2]
aten::div.Tensor4
134Tensor<[1,23,40,1]>,
dims: [0, 1, 2, 3]
aten::div.Tensor4
135Tensor<[128]>,
dims: [3]
aten::div.Tensor4
136Tensor<[256,256]>,
dims: [1, 2]
aten::expand5
137Tensor<[1,1,1,920]>,
dims: [0, 1, 2, 3]
aten::expand5
138Tensor<[256,92]>,
dims: [2, 3]
aten::expand5
139Tensor<[256,256]>,
dims: [2, 3]
aten::expand5
140Tensor<[1,1,1,1]>,
dims: [0, 1, 2, 3]
aten::index.Tensor4
141Tensor<[1,1,1]>,
dims: [1, 2, 3]
aten::index.Tensor4
142Tensor<[23,1]>,
dims: [2, 3]
aten::index.Tensor4
143Tensor<[40]>,
dims: [3]
aten::index.Tensor4
144Tensor<[2048]>,
dims: [0]
aten::mul.Tensor4
145Tensor<[1,920]>,
dims: [0, 1]
aten::where.self4
146Tensor<[1,12,10,10]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
147Tensor<[1,12,10,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
148Tensor<[1,10]>,
dims: [0, 1]
aten::add.Tensor5
149Tensor<[1,10,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
150Tensor<[1,10,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
151Tensor<[10,768]>,
dims: [0, 1]
aten::add.Tensor4
152Tensor<[1,1,10,10]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
153Tensor<[10,3072]>,
dims: [0, 1]
aten::add.Tensor4
154Tensor<[10,250002]>,
dims: [0, 1]
aten::add.Tensor4
155Tensor<[250002]>,
dims: [1]
aten::add.Tensor4
156Tensor<[12,64,10]>,
dims: [0, 1, 2]
aten::bmm4
157Tensor<[12,10,64]>,
dims: [0, 1, 2]
aten::bmm4
158Tensor<[1,1,1,10]>,
dims: [0, 1, 2, 3]
aten::expand4
159Tensor<[1,12,10,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
160Tensor<[1,12,64,10]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
161Tensor<[250002]>,
dims: [0]
aten::mul.Tensor4
162Tensor<[1,8,4096,4096]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
163Tensor<[1,8,4096,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
164Tensor<[1,8,4096,9]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
165Tensor<[1,8,1024,1024]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
166Tensor<[1,8,1024,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
167Tensor<[1,8,1024,9]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
168Tensor<[1,8,256,256]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
169Tensor<[1,8,256,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
170Tensor<[1,8,256,9]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
171Tensor<[1,8,64,64]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
172Tensor<[1,8,64,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
173Tensor<[1,8,64,9]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
174Tensor<[1,1280]>,
dims: [0, 1]
aten::add.Tensor4
175Tensor<[1280]>,
dims: [1]
aten::add.Tensor4
176Tensor<[1,32,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
177Tensor<[1,320,64,64]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
178Tensor<[1,320,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
179Tensor<[1,320]>,
dims: [0, 1]
aten::add.Tensor4
180Tensor<[320]>,
dims: [1]
aten::add.Tensor4
181Tensor<[1,4096,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
182Tensor<[1,4096,320]>,
dims: [0, 1, 2]
aten::add.Tensor4
183Tensor<[320]>,
dims: [2]
aten::add.Tensor4
184Tensor<[4096,320]>,
dims: [0, 1]
aten::add.Tensor4
185Tensor<[4096,2560]>,
dims: [0, 1]
aten::add.Tensor4
186Tensor<[2560]>,
dims: [1]
aten::add.Tensor4
187Tensor<[1,320,32,32]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
188Tensor<[1,640]>,
dims: [0, 1]
aten::add.Tensor4
189Tensor<[640]>,
dims: [1]
aten::add.Tensor4
190Tensor<[1,640,32,32]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
191Tensor<[1,640,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
192Tensor<[1,1024,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
193Tensor<[1,1024,640]>,
dims: [0, 1, 2]
aten::add.Tensor4
194Tensor<[640]>,
dims: [2]
aten::add.Tensor4
195Tensor<[1024,640]>,
dims: [0, 1]
aten::add.Tensor4
196Tensor<[1024,5120]>,
dims: [0, 1]
aten::add.Tensor4
197Tensor<[5120]>,
dims: [1]
aten::add.Tensor4
198Tensor<[1,640,16,16]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
199Tensor<[1,1280,16,16]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
200Tensor<[1,1280,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
201Tensor<[1,256,1280]>,
dims: [0, 1, 2]
aten::add.Tensor4
202Tensor<[1280]>,
dims: [2]
aten::add.Tensor4
203Tensor<[256,1280]>,
dims: [0, 1]
aten::add.Tensor4
204Tensor<[256,10240]>,
dims: [0, 1]
aten::add.Tensor4
205Tensor<[10240]>,
dims: [1]
aten::add.Tensor4
206Tensor<[1,1280,8,8]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
207Tensor<[1,64,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
208Tensor<[1,64,1280]>,
dims: [0, 1, 2]
aten::add.Tensor4
209Tensor<[64,1280]>,
dims: [0, 1]
aten::add.Tensor4
210Tensor<[64,10240]>,
dims: [0, 1]
aten::add.Tensor4
211Tensor<[1,2560,8,8]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
212Tensor<[1,2560,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
213Tensor<[16]>,
dims: [0]
aten::add.Tensor4
214Tensor<[1,2560,16,16]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
215Tensor<[1,1920,16,16]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
216Tensor<[1,1920,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
217Tensor<[1,1920,32,32]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
218Tensor<[1,1280,32,32]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
219Tensor<[1,960,32,32]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
220Tensor<[1,960,1,1]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
221Tensor<[1,960,64,64]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
222Tensor<[1,640,64,64]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
223Tensor<[160]>,
dims: [0]
aten::arange.start4
224Tensor<[8,40,4096]>,
dims: [0, 1, 2]
aten::bmm4
225Tensor<[8,4096,40]>,
dims: [0, 1, 2]
aten::bmm4
226Tensor<[8,40,9]>,
dims: [0, 1, 2]
aten::bmm4
227Tensor<[8,9,40]>,
dims: [0, 1, 2]
aten::bmm4
228Tensor<[8,80,1024]>,
dims: [0, 1, 2]
aten::bmm4
229Tensor<[8,1024,80]>,
dims: [0, 1, 2]
aten::bmm4
230Tensor<[8,80,9]>,
dims: [0, 1, 2]
aten::bmm4
231Tensor<[8,9,80]>,
dims: [0, 1, 2]
aten::bmm4
232Tensor<[8,160,256]>,
dims: [0, 1, 2]
aten::bmm4
233Tensor<[8,256,160]>,
dims: [0, 1, 2]
aten::bmm4
234Tensor<[8,160,9]>,
dims: [0, 1, 2]
aten::bmm4
235Tensor<[8,9,160]>,
dims: [0, 1, 2]
aten::bmm4
236Tensor<[8,160,64]>,
dims: [0, 1, 2]
aten::bmm4
237Tensor<[8,64,160]>,
dims: [0, 1, 2]
aten::bmm4
238Tensor<[320,1,1]>,
dims: [1, 2, 3]
aten::convolution4
239Tensor<[640,1,1]>,
dims: [1, 2, 3]
aten::convolution4
240Tensor<[1280,1,1]>,
dims: [1, 2, 3]
aten::convolution4
241Tensor<[1,4,64,64]>,
dims: [0, 1, 2, 3]
aten::convolution4
242Tensor<[4,1,1]>,
dims: [1, 2, 3]
aten::convolution4
243Tensor<[1280]>,
dims: [0]
aten::index.Tensor4
244Tensor<[16,1]>,
dims: [2, 3]
aten::index.Tensor4
245Tensor<[16]>,
dims: [3]
aten::index.Tensor4
246Tensor<[32,1]>,
dims: [2, 3]
aten::index.Tensor4
247Tensor<[32]>,
dims: [3]
aten::index.Tensor4
248Tensor<[640]>,
dims: [0]
aten::index.Tensor4
249Tensor<[64,1]>,
dims: [2, 3]
aten::index.Tensor4
250Tensor<[64]>,
dims: [3]
aten::index.Tensor4
251Tensor<[1,8,4096,40]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
252Tensor<[1,8,40,4096]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
253Tensor<[1,8,40,9]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
254Tensor<[1,8,1024,80]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
255Tensor<[1,8,80,1024]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
256Tensor<[1,8,80,9]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
257Tensor<[1,8,256,160]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
258Tensor<[1,8,160,256]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
259Tensor<[1,8,160,9]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
260Tensor<[1,8,64,160]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
261Tensor<[1,8,160,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
262Tensor<[1,1]>,
dims: [0, 1]
aten::mul.Tensor4
263Tensor<[1,160]>,
dims: [0, 1]
aten::mul.Tensor4
264Tensor<[1,32,10,4096]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
265Tensor<[320]>,
dims: [0]
aten::mul.Tensor4
266Tensor<[2560]>,
dims: [0]
aten::mul.Tensor4
267Tensor<[1,32,10,1024]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
268Tensor<[1,32,20,1024]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
269Tensor<[5120]>,
dims: [0]
aten::mul.Tensor4
270Tensor<[1,32,20,256]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
271Tensor<[1,32,40,256]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
272Tensor<[10240]>,
dims: [0]
aten::mul.Tensor4
273Tensor<[1,32,40,64]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
274Tensor<[1,32,80,64]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
275Tensor<[1,32,80,256]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
276Tensor<[1,32,60,256]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
277Tensor<[1,32,60,1024]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
278Tensor<[1,32,40,1024]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
279Tensor<[1,32,30,1024]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
280Tensor<[1,32,30,4096]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
281Tensor<[1,32,20,4096]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
282Tensor<[1,12,25,25]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
283Tensor<[1,12,25,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
284Tensor<[1,25,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
285Tensor<[1,25,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
286Tensor<[25,768]>,
dims: [0, 1]
aten::add.Tensor4
287Tensor<[1,1,25,25]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
288Tensor<[25,3072]>,
dims: [0, 1]
aten::add.Tensor4
289Tensor<[25,2]>,
dims: [0, 1]
aten::add.Tensor4
290Tensor<[2]>,
dims: [1]
aten::add.Tensor4
291Tensor<[1]>,
dims: [1]
aten::add.Tensor4
292Tensor<[12,64,25]>,
dims: [0, 1, 2]
aten::bmm4
293Tensor<[12,25,64]>,
dims: [0, 1, 2]
aten::bmm4
294Tensor<[1,1,1,25]>,
dims: [0, 1, 2, 3]
aten::expand4
295Tensor<[1,12,25,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
296Tensor<[1,12,64,25]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
297Tensor<[2]>,
dims: [0]
aten::mul.Tensor4
298Tensor<[1,3,1445,1445]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
299Tensor<[1,3,1445,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
300Tensor<[1,1445,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
301Tensor<[1,1445,192]>,
dims: [0, 1, 2]
aten::add.Tensor4
302Tensor<[192]>,
dims: [2]
aten::add.Tensor4
303Tensor<[1445,192]>,
dims: [0, 1]
aten::add.Tensor4
304Tensor<[192]>,
dims: [1]
aten::add.Tensor4
305Tensor<[1445,768]>,
dims: [0, 1]
aten::add.Tensor4
306Tensor<[100,192]>,
dims: [0, 1]
aten::add.Tensor4
307Tensor<[100,92]>,
dims: [0, 1]
aten::add.Tensor4
308Tensor<[92]>,
dims: [1]
aten::add.Tensor4
309Tensor<[100,4]>,
dims: [0, 1]
aten::add.Tensor4
310Tensor<[4]>,
dims: [1]
aten::add.Tensor4
311Tensor<[3,64,1445]>,
dims: [0, 1, 2]
aten::bmm4
312Tensor<[3,1445,64]>,
dims: [0, 1, 2]
aten::bmm4
313Tensor<[1,192,32,42]>,
dims: [0, 1, 2, 3]
aten::convolution4
314Tensor<[192,1,1]>,
dims: [1, 2, 3]
aten::convolution4
315Tensor<[1,3,1445,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
316Tensor<[1,3,64,1445]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
317Tensor<[192]>,
dims: [0]
aten::mul.Tensor4
318Tensor<[92]>,
dims: [0]
aten::mul.Tensor4
319Tensor<[4]>,
dims: [0]
aten::mul.Tensor4
320Tensor<[1,256,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
321Tensor<[1,512,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
322Tensor<[1,12,8,8]>,
dims: [0, 1, 2, 3]
aten::_softmax4
323Tensor<[1,12,8,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
324Tensor<[1,8,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
325Tensor<[1,8,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
326Tensor<[1,1,1,8]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
327Tensor<[1,768]>,
dims: [0, 1]
aten::add.Tensor4
328Tensor<[1,3]>,
dims: [0, 1]
aten::add.Tensor4
329Tensor<[3]>,
dims: [1]
aten::add.Tensor4
330Tensor<[12,64,8]>,
dims: [0, 1, 2]
aten::bmm4
331Tensor<[12,8,64]>,
dims: [0, 1, 2]
aten::bmm4
332Tensor<[1,768,8]>,
dims: [0, 1, 2]
aten::convolution4
333Tensor<[768,1]>,
dims: [1, 2]
aten::convolution4
334Tensor<[1,3072,8]>,
dims: [0, 1, 2]
aten::convolution4
335Tensor<[3072,1]>,
dims: [1, 2]
aten::convolution4
336Tensor<[3]>,
dims: [0]
aten::mul.Tensor4
337Tensor<[1,8,256,2048]>,
dims: [0, 1, 2, 3]
aten::_softmax4
338Tensor<[1,8,2048,256]>,
dims: [0, 1, 2, 3]
aten::_softmax4
339Tensor<[1,8,2048,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
340Tensor<[1,2048,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
341Tensor<[2048,768]>,
dims: [1, 2]
aten::add.Tensor4
342Tensor<[1,2048,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
343Tensor<[2048,256]>,
dims: [0, 1]
aten::add.Tensor4
344Tensor<[2048,1280]>,
dims: [0, 1]
aten::add.Tensor4
345Tensor<[1,1,1,2048]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
346Tensor<[256,768]>,
dims: [0, 1]
aten::add.Tensor4
347Tensor<[2048,768]>,
dims: [0, 1]
aten::add.Tensor4
348Tensor<[2048,262]>,
dims: [0, 1]
aten::add.Tensor4
349Tensor<[262]>,
dims: [1]
aten::add.Tensor4
350Tensor<[8,32,2048]>,
dims: [0, 1, 2]
aten::bmm4
351Tensor<[8,2048,160]>,
dims: [0, 1, 2]
aten::bmm4
352Tensor<[8,32,256]>,
dims: [0, 1, 2]
aten::bmm4
353Tensor<[8,256,96]>,
dims: [0, 1, 2]
aten::bmm4
354Tensor<[256,1280]>,
dims: [1, 2]
aten::expand5
355Tensor<[1,256,56,56]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
356Tensor<[1024]>,
dims: [0]
aten::add.Tensor4
357Tensor<[1,1024,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
358Tensor<[1024,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
359Tensor<[1,512,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
360Tensor<[1,2048,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
361Tensor<[2048,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
362Tensor<[1,12,201,201]>,
dims: [0, 1, 2, 3]
aten::_softmax4
363Tensor<[1,12,201,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
364Tensor<[12]>,
dims: [0]
aten::add.Tensor4
365Tensor<[1,201,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
366Tensor<[1,201,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
367Tensor<[201,768]>,
dims: [0, 1]
aten::add.Tensor4
368Tensor<[1,1,1,201]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
369Tensor<[201,3072]>,
dims: [0, 1]
aten::add.Tensor4
370Tensor<[1,1536]>,
dims: [0, 1]
aten::add.Tensor4
371Tensor<[1536]>,
dims: [1]
aten::add.Tensor4
372Tensor<[1,3129]>,
dims: [0, 1]
aten::add.Tensor4
373Tensor<[3129]>,
dims: [1]
aten::add.Tensor4
374Tensor<[12,64,201]>,
dims: [0, 1, 2]
aten::bmm4
375Tensor<[12,201,64]>,
dims: [0, 1, 2]
aten::bmm4
376Tensor<[1,768,12,16]>,
dims: [0, 1, 2, 3]
aten::convolution4
377Tensor<[768,1,1]>,
dims: [1, 2, 3]
aten::convolution4
378Tensor<[12,1]>,
dims: [0, 1]
aten::expand4
379Tensor<[1,16]>,
dims: [0, 1]
aten::expand4
380Tensor<[12,1]>,
dims: [2, 3]
aten::index.Tensor4
381Tensor<[1536]>,
dims: [0]
aten::mul.Tensor4
382Tensor<[3129]>,
dims: [0]
aten::mul.Tensor4
383Tensor<[1,192]>,
dims: [0, 1]
aten::rsub.Scalar4
384Tensor<[1,128]>,
dims: [0, 1]
aten::add.Tensor4
385Tensor<[128]>,
dims: [1]
aten::add.Tensor4
386Tensor<[10]>,
dims: [1]
aten::add.Tensor4
387Tensor<[1,32,26,26]>,
dims: [0, 1, 2, 3]
aten::convolution4
388Tensor<[1,64,24,24]>,
dims: [0, 1, 2, 3]
aten::convolution4
389Tensor<[10]>,
dims: [0]
aten::mul.Tensor4
390Tensor<[16,19,19]>,
dims: [0, 1, 2]
aten::_softmax4
391Tensor<[16,19,1]>,
dims: [0, 1, 2]
aten::_softmax4
392Tensor<[19]>,
dims: [0]
aten::add.Tensor4
393Tensor<[1,19]>,
dims: [0, 1]
aten::add.Tensor4
394Tensor<[1,19,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
395Tensor<[1,19,1024]>,
dims: [0, 1, 2]
aten::add.Tensor4
396Tensor<[1024]>,
dims: [2]
aten::add.Tensor4
397Tensor<[19,1024]>,
dims: [0, 1]
aten::add.Tensor4
398Tensor<[1024]>,
dims: [1]
aten::add.Tensor4
399Tensor<[1,16,19,19]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
400Tensor<[1,1,19,19]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
401Tensor<[19,4096]>,
dims: [0, 1]
aten::add.Tensor4
402Tensor<[4096]>,
dims: [1]
aten::add.Tensor4
403Tensor<[16,64,19]>,
dims: [0, 1, 2]
aten::bmm4
404Tensor<[16,19,64]>,
dims: [0, 1, 2]
aten::bmm4
405Tensor<[1,1,1,19]>,
dims: [0, 1, 2, 3]
aten::expand4
406Tensor<[19]>,
dims: [1]
aten::lt.Tensor4
407Tensor<[19,1]>,
dims: [0, 1]
aten::lt.Tensor4
408Tensor<[4096]>,
dims: [0]
aten::mul.Tensor4
409Tensor<[19,256008]>,
dims: [0, 1]
aten::sub.Tensor4
410Tensor<[19,19]>,
dims: [0, 1]
aten::where.self4
411Tensor<[14]>,
dims: [0]
aten::add.Tensor4
412Tensor<[1,14,56,56]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
413Tensor<[14,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
414Tensor<[24]>,
dims: [0]
aten::add.Tensor4
415Tensor<[1,24,56,56]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
416Tensor<[24,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
417Tensor<[1,40,56,56]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
418Tensor<[40,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
419Tensor<[68]>,
dims: [0]
aten::add.Tensor4
420Tensor<[1,68,56,56]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
421Tensor<[68,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
422Tensor<[1,16,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
423Tensor<[16,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
424Tensor<[28]>,
dims: [0]
aten::add.Tensor4
425Tensor<[1,28,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
426Tensor<[28,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
427Tensor<[46]>,
dims: [0]
aten::add.Tensor4
428Tensor<[1,46,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
429Tensor<[46,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
430Tensor<[78]>,
dims: [0]
aten::add.Tensor4
431Tensor<[1,78,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
432Tensor<[78,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
433Tensor<[134]>,
dims: [0]
aten::add.Tensor4
434Tensor<[1,134,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
435Tensor<[134,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
436Tensor<[20]>,
dims: [0]
aten::add.Tensor4
437Tensor<[1,20,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
438Tensor<[20,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
439Tensor<[34]>,
dims: [0]
aten::add.Tensor4
440Tensor<[1,34,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
441Tensor<[34,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
442Tensor<[58]>,
dims: [0]
aten::add.Tensor4
443Tensor<[1,58,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
444Tensor<[58,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
445Tensor<[98]>,
dims: [0]
aten::add.Tensor4
446Tensor<[1,98,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
447Tensor<[98,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
448Tensor<[168]>,
dims: [0]
aten::add.Tensor4
449Tensor<[1,168,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
450Tensor<[168,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
451Tensor<[1,320,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
452Tensor<[1,40,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
453Tensor<[1,68,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
454Tensor<[116]>,
dims: [0]
aten::add.Tensor4
455Tensor<[1,116,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
456Tensor<[116,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
457Tensor<[196]>,
dims: [0]
aten::add.Tensor4
458Tensor<[1,196,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
459Tensor<[196,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
460Tensor<[334]>,
dims: [0]
aten::add.Tensor4
461Tensor<[1,334,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
462Tensor<[334,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
463Tensor<[1,640,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
464Tensor<[1,160,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
465Tensor<[160,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
466Tensor<[272]>,
dims: [0]
aten::add.Tensor4
467Tensor<[1,272,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
468Tensor<[272,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
469Tensor<[462]>,
dims: [0]
aten::add.Tensor4
470Tensor<[1,462,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
471Tensor<[462,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
472Tensor<[1,1024,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
473Tensor<[1,32,512,512]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
474Tensor<[1,64,256,256]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
475Tensor<[1,32,256,256]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
476Tensor<[1,128,128,128]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
477Tensor<[1,64,128,128]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
478Tensor<[1,256,64,64]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
479Tensor<[1,128,64,64]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
480Tensor<[1,512,32,32]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
481Tensor<[1,256,32,32]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
482Tensor<[1,1024,16,16]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
483Tensor<[1,512,16,16]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
484Tensor<[1,256,16,16]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
485Tensor<[1,128,32,32]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
486Tensor<[1,255,16,16]>,
dims: [0, 1, 2, 3]
aten::convolution4
487Tensor<[255,1,1]>,
dims: [1, 2, 3]
aten::convolution4
488Tensor<[1,255,32,32]>,
dims: [0, 1, 2, 3]
aten::convolution4
489Tensor<[1,255,64,64]>,
dims: [0, 1, 2, 3]
aten::convolution4
490Tensor<[1,1,256,256]>,
dims: [0, 1, 2, 3]
aten::convolution4
491Tensor<[1,4,14,14]>,
dims: [0, 1, 2, 3]
aten::convolution4
492Tensor<[1,16,14,14]>,
dims: [0, 1, 2, 3]
aten::convolution4
493Tensor<[1,1,28,28]>,
dims: [0, 1, 2, 3]
aten::convolution4
494Tensor<[1,16,32,32]>,
dims: [0, 1, 2, 3]
aten::_softmax4
495Tensor<[1,16,32,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
496Tensor<[1,32,1536]>,
dims: [0, 1, 2]
aten::add.Tensor4
497Tensor<[1536]>,
dims: [2]
aten::add.Tensor4
498Tensor<[32,4608]>,
dims: [0, 1]
aten::add.Tensor4
499Tensor<[4608]>,
dims: [1]
aten::add.Tensor4
500Tensor<[32,1536]>,
dims: [0, 1]
aten::add.Tensor4
501Tensor<[32,6144]>,
dims: [0, 1]
aten::add.Tensor4
502Tensor<[6144]>,
dims: [1]
aten::add.Tensor4
503Tensor<[1,32,6144]>,
dims: [0, 1, 2]
aten::add.Tensor4
504Tensor<[16,96,32]>,
dims: [0, 1, 2]
aten::baddbmm4
505Tensor<[16,32,32]>,
dims: [0, 1, 2]
aten::baddbmm4
506Tensor<[16,1,32]>,
dims: [0, 1, 2]
aten::baddbmm4
507Tensor<[16,32,96]>,
dims: [0, 1, 2]
aten::bmm4
508Tensor<[16,1]>,
dims: [1, 2]
aten::mul.Tensor4
509Tensor<[4608]>,
dims: [0]
aten::mul.Tensor4
510Tensor<[6144]>,
dims: [0]
aten::mul.Tensor4
511Tensor<[1,12,16,16]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
512Tensor<[1,12,16,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
513Tensor<[1,16,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
514Tensor<[1,16,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
515Tensor<[16,768]>,
dims: [0, 1]
aten::add.Tensor4
516Tensor<[1,1,16,16]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
517Tensor<[16,3072]>,
dims: [0, 1]
aten::add.Tensor4
518Tensor<[12,64,16]>,
dims: [0, 1, 2]
aten::bmm4
519Tensor<[12,16,64]>,
dims: [0, 1, 2]
aten::bmm4
520Tensor<[1,1,1,16]>,
dims: [0, 1, 2, 3]
aten::expand4
521Tensor<[1,12,16,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
522Tensor<[1,12,64,16]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
523Tensor<[1,64,224,224]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
524Tensor<[1,128,112,112]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
525Tensor<[1,1,224,224]>,
dims: [0, 1, 2, 3]
aten::convolution4
526Tensor<[1,1,19200,300]>,
dims: [0, 1, 2, 3]
aten::_softmax4
527Tensor<[1,1,19200,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
528Tensor<[1,2,4800,300]>,
dims: [0, 1, 2, 3]
aten::_softmax4
529Tensor<[1,2,4800,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
530Tensor<[1,5,1200,300]>,
dims: [0, 1, 2, 3]
aten::_softmax4
531Tensor<[1,5,1200,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
532Tensor<[1,8,300,300]>,
dims: [0, 1, 2, 3]
aten::_softmax4
533Tensor<[1,8,300,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
534Tensor<[1,19200,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
535Tensor<[1,19200,64]>,
dims: [0, 1, 2]
aten::add.Tensor4
536Tensor<[64]>,
dims: [2]
aten::add.Tensor4
537Tensor<[19200,64]>,
dims: [0, 1]
aten::add.Tensor4
538Tensor<[64]>,
dims: [1]
aten::add.Tensor4
539Tensor<[1,300,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
540Tensor<[1,300,64]>,
dims: [0, 1, 2]
aten::add.Tensor4
541Tensor<[300,64]>,
dims: [0, 1]
aten::add.Tensor4
542Tensor<[19200,256]>,
dims: [0, 1]
aten::add.Tensor4
543Tensor<[1,4800,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
544Tensor<[1,4800,128]>,
dims: [0, 1, 2]
aten::add.Tensor4
545Tensor<[128]>,
dims: [2]
aten::add.Tensor4
546Tensor<[4800,128]>,
dims: [0, 1]
aten::add.Tensor4
547Tensor<[1,300,128]>,
dims: [0, 1, 2]
aten::add.Tensor4
548Tensor<[300,128]>,
dims: [0, 1]
aten::add.Tensor4
549Tensor<[4800,512]>,
dims: [0, 1]
aten::add.Tensor4
550Tensor<[1,1200,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
551Tensor<[1,1200,320]>,
dims: [0, 1, 2]
aten::add.Tensor4
552Tensor<[1200,320]>,
dims: [0, 1]
aten::add.Tensor4
553Tensor<[1,300,320]>,
dims: [0, 1, 2]
aten::add.Tensor4
554Tensor<[300,320]>,
dims: [0, 1]
aten::add.Tensor4
555Tensor<[1200,1280]>,
dims: [0, 1]
aten::add.Tensor4
556Tensor<[1,300,512]>,
dims: [0, 1, 2]
aten::add.Tensor4
557Tensor<[300,512]>,
dims: [0, 1]
aten::add.Tensor4
558Tensor<[300,2048]>,
dims: [0, 1]
aten::add.Tensor4
559Tensor<[30]>,
dims: [0]
aten::add.Tensor4
560Tensor<[30,1]>,
dims: [0, 1]
aten::add.Tensor4
561Tensor<[1,64,30,40]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
562Tensor<[1,32,30,40]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
563Tensor<[60]>,
dims: [0]
aten::add.Tensor4
564Tensor<[60,1]>,
dims: [0, 1]
aten::add.Tensor4
565Tensor<[80]>,
dims: [0]
aten::add.Tensor4
566Tensor<[1,64,60,80]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
567Tensor<[1,32,60,80]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
568Tensor<[120]>,
dims: [0]
aten::add.Tensor4
569Tensor<[120,1]>,
dims: [0, 1]
aten::add.Tensor4
570Tensor<[1,64,120,160]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
571Tensor<[1,32,120,160]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
572Tensor<[240]>,
dims: [0]
aten::add.Tensor4
573Tensor<[240,1]>,
dims: [0, 1]
aten::add.Tensor4
574Tensor<[480]>,
dims: [0]
aten::add.Tensor4
575Tensor<[480,1]>,
dims: [0, 1]
aten::add.Tensor4
576Tensor<[1,64,300]>,
dims: [0, 1, 2]
aten::bmm4
577Tensor<[1,256,64]>,
dims: [0, 1, 2]
aten::bmm4
578Tensor<[2,64,300]>,
dims: [0, 1, 2]
aten::bmm4
579Tensor<[2,300,64]>,
dims: [0, 1, 2]
aten::bmm4
580Tensor<[1,512,128]>,
dims: [0, 1, 2]
aten::bmm4
581Tensor<[5,64,300]>,
dims: [0, 1, 2]
aten::bmm4
582Tensor<[5,300,64]>,
dims: [0, 1, 2]
aten::bmm4
583Tensor<[1,1280,320]>,
dims: [0, 1, 2]
aten::bmm4
584Tensor<[8,64,300]>,
dims: [0, 1, 2]
aten::bmm4
585Tensor<[8,300,64]>,
dims: [0, 1, 2]
aten::bmm4
586Tensor<[1,2048,512]>,
dims: [0, 1, 2]
aten::bmm4
587Tensor<[1,64,15,20]>,
dims: [0, 1, 2, 3]
aten::convolution4
588Tensor<[1,256,120,160]>,
dims: [0, 1, 2, 3]
aten::convolution4
589Tensor<[1,128,60,80]>,
dims: [0, 1, 2, 3]
aten::convolution4
590Tensor<[1,128,15,20]>,
dims: [0, 1, 2, 3]
aten::convolution4
591Tensor<[1,512,60,80]>,
dims: [0, 1, 2, 3]
aten::convolution4
592Tensor<[1,320,30,40]>,
dims: [0, 1, 2, 3]
aten::convolution4
593Tensor<[1,320,15,20]>,
dims: [0, 1, 2, 3]
aten::convolution4
594Tensor<[1,1280,30,40]>,
dims: [0, 1, 2, 3]
aten::convolution4
595Tensor<[1,512,15,20]>,
dims: [0, 1, 2, 3]
aten::convolution4
596Tensor<[1,2048,15,20]>,
dims: [0, 1, 2, 3]
aten::convolution4
597Tensor<[1,2,30,40]>,
dims: [0, 1, 2, 3]
aten::convolution4
598Tensor<[2,1,1]>,
dims: [1, 2, 3]
aten::convolution4
599Tensor<[1,2,60,80]>,
dims: [0, 1, 2, 3]
aten::convolution4
600Tensor<[1,2,120,160]>,
dims: [0, 1, 2, 3]
aten::convolution4
601Tensor<[1,64,480,640]>,
dims: [0, 1, 2, 3]
aten::convolution4
602Tensor<[1,1,480,640]>,
dims: [0, 1, 2, 3]
aten::convolution4
603Tensor<[256,64]>,
dims: [1, 2]
aten::expand5
604Tensor<[512,128]>,
dims: [1, 2]
aten::expand5
605Tensor<[1280,320]>,
dims: [1, 2]
aten::expand5
606Tensor<[2048,512]>,
dims: [1, 2]
aten::expand5
607Tensor<[30,1]>,
dims: [2, 3]
aten::index.Tensor4
608Tensor<[60,1]>,
dims: [2, 3]
aten::index.Tensor4
609Tensor<[80]>,
dims: [3]
aten::index.Tensor4
610Tensor<[120,1]>,
dims: [2, 3]
aten::index.Tensor4
611Tensor<[160]>,
dims: [3]
aten::index.Tensor4
612Tensor<[240,1]>,
dims: [2, 3]
aten::index.Tensor4
613Tensor<[320]>,
dims: [3]
aten::index.Tensor4
614Tensor<[480,1]>,
dims: [2, 3]
aten::index.Tensor4
615Tensor<[640]>,
dims: [3]
aten::index.Tensor4
616Tensor<[1,1,30,40]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
617Tensor<[1,1,60,80]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
618Tensor<[1,1,120,160]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
619Tensor<[1,64,240,320]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
620Tensor<[1,12,197,197]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
621Tensor<[1,12,197,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
622Tensor<[1,197,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
623Tensor<[1,197,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
624Tensor<[197,768]>,
dims: [0, 1]
aten::add.Tensor4
625Tensor<[197,3072]>,
dims: [0, 1]
aten::add.Tensor4
626Tensor<[12,64,197]>,
dims: [0, 1, 2]
aten::bmm4
627Tensor<[12,197,64]>,
dims: [0, 1, 2]
aten::bmm4
628Tensor<[1,768,14,14]>,
dims: [0, 1, 2, 3]
aten::convolution4
629Tensor<[1,12,197,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
630Tensor<[1,12,64,197]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
631Tensor<[1,1,16384,256]>,
dims: [0, 1, 2, 3]
aten::_softmax4
632Tensor<[1,1,16384,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
633Tensor<[1,2,4096,256]>,
dims: [0, 1, 2, 3]
aten::_softmax4
634Tensor<[1,2,4096,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
635Tensor<[1,5,1024,256]>,
dims: [0, 1, 2, 3]
aten::_softmax4
636Tensor<[1,5,1024,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
637Tensor<[1,16384,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
638Tensor<[1,16384,32]>,
dims: [0, 1, 2]
aten::add.Tensor4
639Tensor<[32]>,
dims: [2]
aten::add.Tensor4
640Tensor<[16384,32]>,
dims: [0, 1]
aten::add.Tensor4
641Tensor<[1,256,32]>,
dims: [0, 1, 2]
aten::add.Tensor4
642Tensor<[256,32]>,
dims: [0, 1]
aten::add.Tensor4
643Tensor<[16384,128]>,
dims: [0, 1]
aten::add.Tensor4
644Tensor<[1,4096,64]>,
dims: [0, 1, 2]
aten::add.Tensor4
645Tensor<[4096,64]>,
dims: [0, 1]
aten::add.Tensor4
646Tensor<[256,64]>,
dims: [0, 1]
aten::add.Tensor4
647Tensor<[4096,256]>,
dims: [0, 1]
aten::add.Tensor4
648Tensor<[1,1024,160]>,
dims: [0, 1, 2]
aten::add.Tensor4
649Tensor<[160]>,
dims: [2]
aten::add.Tensor4
650Tensor<[1024,160]>,
dims: [0, 1]
aten::add.Tensor4
651Tensor<[160]>,
dims: [1]
aten::add.Tensor4
652Tensor<[1,256,160]>,
dims: [0, 1, 2]
aten::add.Tensor4
653Tensor<[256,160]>,
dims: [0, 1]
aten::add.Tensor4
654Tensor<[1,256,256]>,
dims: [0, 1, 2]
aten::add.Tensor4
655Tensor<[256,1024]>,
dims: [0, 1]
aten::add.Tensor4
656Tensor<[1,16384,256]>,
dims: [0, 1, 2]
aten::add.Tensor4
657Tensor<[128,1]>,
dims: [0, 1]
aten::add.Tensor4
658Tensor<[1,4096,256]>,
dims: [0, 1, 2]
aten::add.Tensor4
659Tensor<[1,1024,256]>,
dims: [0, 1, 2]
aten::add.Tensor4
660Tensor<[1,256,128,128]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
661Tensor<[1,32,256]>,
dims: [0, 1, 2]
aten::bmm4
662Tensor<[1,128,32]>,
dims: [0, 1, 2]
aten::bmm4
663Tensor<[2,32,256]>,
dims: [0, 1, 2]
aten::bmm4
664Tensor<[2,256,32]>,
dims: [0, 1, 2]
aten::bmm4
665Tensor<[5,32,256]>,
dims: [0, 1, 2]
aten::bmm4
666Tensor<[5,256,32]>,
dims: [0, 1, 2]
aten::bmm4
667Tensor<[1,640,160]>,
dims: [0, 1, 2]
aten::bmm4
668Tensor<[8,256,32]>,
dims: [0, 1, 2]
aten::bmm4
669Tensor<[1,64,256]>,
dims: [0, 1, 2]
aten::bmm4
670Tensor<[1,160,256]>,
dims: [0, 1, 2]
aten::bmm4
671Tensor<[1,32,128,128]>,
dims: [0, 1, 2, 3]
aten::convolution4
672Tensor<[1,32,16,16]>,
dims: [0, 1, 2, 3]
aten::convolution4
673Tensor<[1,64,64,64]>,
dims: [0, 1, 2, 3]
aten::convolution4
674Tensor<[1,64,16,16]>,
dims: [0, 1, 2, 3]
aten::convolution4
675Tensor<[1,160,32,32]>,
dims: [0, 1, 2, 3]
aten::convolution4
676Tensor<[1,160,16,16]>,
dims: [0, 1, 2, 3]
aten::convolution4
677Tensor<[1,150,128,128]>,
dims: [0, 1, 2, 3]
aten::convolution4
678Tensor<[150,1,1]>,
dims: [1, 2, 3]
aten::convolution4
679Tensor<[128,32]>,
dims: [1, 2]
aten::expand5
680Tensor<[640,160]>,
dims: [1, 2]
aten::expand5
681Tensor<[1024,256]>,
dims: [1, 2]
aten::expand5
682Tensor<[32,256]>,
dims: [1, 2]
aten::expand5
683Tensor<[64,256]>,
dims: [1, 2]
aten::expand5
684Tensor<[160,256]>,
dims: [1, 2]
aten::expand5
685Tensor<[128,1]>,
dims: [2, 3]
aten::index.Tensor4
686Tensor<[1,71,7,7]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
687Tensor<[1,71,7,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
688Tensor<[1,7,4544]>,
dims: [0, 1, 2]
aten::add.Tensor4
689Tensor<[4544]>,
dims: [2]
aten::add.Tensor4
690Tensor<[1,1,7]>,
dims: [0, 1, 2]
aten::bmm4
691Tensor<[71,64,7]>,
dims: [0, 1, 2]
aten::bmm4
692Tensor<[71,7,64]>,
dims: [0, 1, 2]
aten::bmm4
693Tensor<[1,1,64,7]>,
dims: [0, 1, 2, 3]
aten::expand5
694Tensor<[1,1,7,64]>,
dims: [0, 1, 2, 3]
aten::expand5
695Tensor<[7,1,1]>,
dims: [1, 2, 3]
aten::index.Tensor4
696Tensor<[1,1]>,
dims: [2, 3]
aten::index.Tensor4
697Tensor<[1,71,7,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
698Tensor<[1,7,64]>,
dims: [0, 1, 2]
aten::mul.Tensor4
699Tensor<[1,16,112,112]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
700Tensor<[96]>,
dims: [0]
aten::add.Tensor4
701Tensor<[1,96,112,112]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
702Tensor<[96,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
703Tensor<[1,96,56,56]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
704Tensor<[144]>,
dims: [0]
aten::add.Tensor4
705Tensor<[1,144,56,56]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
706Tensor<[144,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
707Tensor<[1,144,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
708Tensor<[1,32,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
709Tensor<[1,192,28,28]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
710Tensor<[1,192,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
711Tensor<[1,64,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
712Tensor<[384]>,
dims: [0]
aten::add.Tensor4
713Tensor<[1,384,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
714Tensor<[384,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
715Tensor<[1,96,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
716Tensor<[576]>,
dims: [0]
aten::add.Tensor4
717Tensor<[1,576,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
718Tensor<[576,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
719Tensor<[1,576,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
720Tensor<[960]>,
dims: [0]
aten::add.Tensor4
721Tensor<[1,960,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
722Tensor<[960,1,1]>,
dims: [1, 2, 3]
aten::add.Tensor4
723Tensor<[1,320,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
724Tensor<[1,1280,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
725Tensor<[1,12,12,12]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
726Tensor<[1,12,12,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
727Tensor<[1,12,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
728Tensor<[1,12,128]>,
dims: [0, 1, 2]
aten::add.Tensor4
729Tensor<[12,768]>,
dims: [0, 1]
aten::add.Tensor4
730Tensor<[1,1,12,12]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
731Tensor<[1,12,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
732Tensor<[12,3072]>,
dims: [0, 1]
aten::add.Tensor4
733Tensor<[1,12,3072]>,
dims: [0, 1, 2]
aten::add.Tensor4
734Tensor<[12,2]>,
dims: [0, 1]
aten::add.Tensor4
735Tensor<[12,64,12]>,
dims: [0, 1, 2]
aten::bmm4
736Tensor<[12,12,64]>,
dims: [0, 1, 2]
aten::bmm4
737Tensor<[1,1,1,12]>,
dims: [0, 1, 2, 3]
aten::expand4
738Tensor<[1,12,12,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
739Tensor<[1,12,64,12]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
740Tensor<[1,12,9,9]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
741Tensor<[1,12,9,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
742Tensor<[1,9,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
743Tensor<[1,9,128]>,
dims: [0, 1, 2]
aten::add.Tensor4
744Tensor<[9,768]>,
dims: [0, 1]
aten::add.Tensor4
745Tensor<[1,1,9,9]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
746Tensor<[1,9,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
747Tensor<[9,3072]>,
dims: [0, 1]
aten::add.Tensor4
748Tensor<[1,9,3072]>,
dims: [0, 1, 2]
aten::add.Tensor4
749Tensor<[9,128]>,
dims: [0, 1]
aten::add.Tensor4
750Tensor<[9,30000]>,
dims: [0, 1]
aten::add.Tensor4
751Tensor<[30000]>,
dims: [1]
aten::add.Tensor4
752Tensor<[12,64,9]>,
dims: [0, 1, 2]
aten::bmm4
753Tensor<[12,9,64]>,
dims: [0, 1, 2]
aten::bmm4
754Tensor<[1,1,1,9]>,
dims: [0, 1, 2, 3]
aten::expand4
755Tensor<[1,12,9,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
756Tensor<[1,12,64,9]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
757Tensor<[30000]>,
dims: [0]
aten::mul.Tensor4
758Tensor<[1,16,9,9]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
759Tensor<[1,16,9,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
760Tensor<[9,2048]>,
dims: [0, 1]
aten::add.Tensor4
761Tensor<[1,9,2048]>,
dims: [0, 1, 2]
aten::add.Tensor4
762Tensor<[2048]>,
dims: [2]
aten::add.Tensor4
763Tensor<[9,8192]>,
dims: [0, 1]
aten::add.Tensor4
764Tensor<[8192]>,
dims: [1]
aten::add.Tensor4
765Tensor<[1,9,8192]>,
dims: [0, 1, 2]
aten::add.Tensor4
766Tensor<[16,128,9]>,
dims: [0, 1, 2]
aten::bmm4
767Tensor<[16,9,128]>,
dims: [0, 1, 2]
aten::bmm4
768Tensor<[1,16,9,128]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
769Tensor<[1,16,128,9]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
770Tensor<[8192]>,
dims: [0]
aten::mul.Tensor4
771Tensor<[9,1024]>,
dims: [0, 1]
aten::add.Tensor4
772Tensor<[1,9,1024]>,
dims: [0, 1, 2]
aten::add.Tensor4
773Tensor<[9,4096]>,
dims: [0, 1]
aten::add.Tensor4
774Tensor<[1,9,4096]>,
dims: [0, 1, 2]
aten::add.Tensor4
775Tensor<[16,64,9]>,
dims: [0, 1, 2]
aten::bmm4
776Tensor<[16,9,64]>,
dims: [0, 1, 2]
aten::bmm4
777Tensor<[1,16,9,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
778Tensor<[1,16,64,9]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
779Tensor<[1,64,9,9]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
780Tensor<[1,64,9,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
781Tensor<[9,16384]>,
dims: [0, 1]
aten::add.Tensor4
782Tensor<[16384]>,
dims: [1]
aten::add.Tensor4
783Tensor<[1,9,16384]>,
dims: [0, 1, 2]
aten::add.Tensor4
784Tensor<[64,64,9]>,
dims: [0, 1, 2]
aten::bmm4
785Tensor<[64,9,64]>,
dims: [0, 1, 2]
aten::bmm4
786Tensor<[1,64,9,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
787Tensor<[1,64,64,9]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
788Tensor<[16384]>,
dims: [0]
aten::mul.Tensor4
789Tensor<[1,2]>,
dims: [0, 1]
aten::add.Tensor4
790Tensor<[1,12,14,14]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
791Tensor<[1,12,14,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
792Tensor<[1,14,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
793Tensor<[1,14,128]>,
dims: [0, 1, 2]
aten::add.Tensor4
794Tensor<[14,768]>,
dims: [0, 1]
aten::add.Tensor4
795Tensor<[1,1,14,14]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
796Tensor<[1,14,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
797Tensor<[14,3072]>,
dims: [0, 1]
aten::add.Tensor4
798Tensor<[1,14,3072]>,
dims: [0, 1, 2]
aten::add.Tensor4
799Tensor<[14,2]>,
dims: [0, 1]
aten::add.Tensor4
800Tensor<[12,64,14]>,
dims: [0, 1, 2]
aten::bmm4
801Tensor<[12,14,64]>,
dims: [0, 1, 2]
aten::bmm4
802Tensor<[1,1,1,14]>,
dims: [0, 1, 2, 3]
aten::expand4
803Tensor<[1,12,14,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
804Tensor<[1,12,64,14]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
805Tensor<[1,12,50,50]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
806Tensor<[1,12,50,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
807Tensor<[2,8,7,7]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
808Tensor<[2,8,7,1]>,
dims: [0, 1, 2, 3]
aten::_safe_softmax4
809Tensor<[1,50,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
810Tensor<[1,50,768]>,
dims: [0, 1, 2]
aten::add.Tensor4
811Tensor<[50,768]>,
dims: [0, 1]
aten::add.Tensor4
812Tensor<[50,3072]>,
dims: [0, 1]
aten::add.Tensor4
813Tensor<[2,7,512]>,
dims: [0, 1, 2]
aten::add.Tensor4
814Tensor<[1,7,512]>,
dims: [0, 1, 2]
aten::add.Tensor4
815Tensor<[2,7,1]>,
dims: [0, 1, 2]
aten::add.Tensor4
816Tensor<[14,512]>,
dims: [0, 1]
aten::add.Tensor4
817Tensor<[2,1,7,7]>,
dims: [0, 1, 2, 3]
aten::add.Tensor4
818Tensor<[14,2048]>,
dims: [0, 1]
aten::add.Tensor4
819Tensor<[12,64,50]>,
dims: [0, 1, 2]
aten::bmm4
820Tensor<[12,50,64]>,
dims: [0, 1, 2]
aten::bmm4
821Tensor<[16,64,7]>,
dims: [0, 1, 2]
aten::bmm4
822Tensor<[16,7,64]>,
dims: [0, 1, 2]
aten::bmm4
823Tensor<[2,512]>,
dims: [0, 1]
aten::div.Tensor4
824Tensor<[2,1]>,
dims: [0, 1]
aten::div.Tensor4
825Tensor<[2,1,1,7]>,
dims: [0, 1, 2, 3]
aten::expand4
826Tensor<[1,12,50,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
827Tensor<[1,12,64,50]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
828Tensor<[2,8,7,64]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
829Tensor<[2,8,64,7]>,
dims: [0, 1, 2, 3]
aten::mul.Scalar4
830Tensor<[1,50,3072]>,
dims: [0, 1, 2]
aten::mul.Tensor4
831Tensor<[2,7,2048]>,
dims: [0, 1, 2]
aten::mul.Tensor4
832Tensor<[1,16,197,197]>,
dims: [0, 1, 2, 3]
aten::_softmax4
833Tensor<[1,16,197,1]>,
dims: [0, 1, 2, 3]
aten::_softmax4
834Tensor<[1,197,1024]>,
dims: [0, 1, 2]
aten::add.Tensor4
835Tensor<[197,1024]>,
dims: [0, 1]
aten::add.Tensor4
836Tensor<[27]>,
dims: [0]
aten::add.Tensor4
837Tensor<[27,1]>,
dims: [0, 1]
aten::add.Tensor4
838Tensor<[196,196]>,
dims: [0, 1]
aten::add.Tensor4
839Tensor<[197,4096]>,
dims: [0, 1]
aten::add.Tensor4
840Tensor<[1,1024]>,
dims: [0, 1]
aten::add.Tensor4
841Tensor<[197]>,
dims: [0]
aten::arange4
842Tensor<[16,64,197]>,
dims: [0, 1, 2]
aten::bmm4
843Tensor<[16,197,64]>,
dims: [0, 1, 2]
aten::bmm4
844Tensor<[14,1]>,
dims: [0, 1]
aten::expand4
845Tensor<[1,14]>,
dims: [0, 1]
aten::expand4
846Tensor<[27,1]>,
dims: [2, 3]
aten::index.Tensor4
847Tensor<[27]>,
dims: [3]
aten::index.Tensor4
848Tensor<[1,16,27,27]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
849Tensor<[2,196,1]>,
dims: [0, 1, 2]
aten::sub.Tensor4
850Tensor<[2,1,196]>,
dims: [0, 1, 2]
aten::sub.Tensor4
851Tensor<[1,197]>,
dims: [0, 1]
aten::where.self4
852Tensor<[196,197]>,
dims: [0, 1]
aten::where.self4
853Tensor<[197,1]>,
dims: [0, 1]
aten::where.self4
854Tensor<[197,197]>,
dims: [0, 1]
aten::where.self4
855Tensor<[12,1,1]>,
dims: [1, 2, 3]
aten::index.Tensor4
856Tensor<[1,12,27,27]>,
dims: [0, 1, 2, 3]
aten::mul.Tensor4
857Tensor<[1,64]>,
dims: [0, 1]
aten::add.Tensor4
858Tensor<[1,12]>,
dims: [0, 1]
aten::add.Tensor4
859Tensor<[12]>,
dims: [1]
aten::add.Tensor4
860Tensor<[1,784]>,
dims: [0, 1]
aten::add.Tensor4
861Tensor<[784]>,
dims: [1]
aten::add.Tensor4
862Tensor<[784]>,
dims: [0]
aten::mul.Tensor4

stablehlo.ceil::ttnn.ceil

STABLE HLO Input Variationsttnn opTorch NameStatus
0Scalar,
ttnn.ceilaten::arange4

stablehlo.clamp::ttnn.clamp

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,1024,512]>,
Tensor<[1,1024,512]>,
ttnn.clampaten::gelu4
1Tensor<[1,256,256]>,
Tensor<[1,256,256]>,
ttnn.clampaten::gelu4
2Tensor<[1,10,3072]>,
Tensor<[1,10,3072]>,
ttnn.clampaten::gelu4
3Tensor<[1,10,768]>,
Tensor<[1,10,768]>,
ttnn.clampaten::gelu4
4Tensor<[1,4096,1280]>,
Tensor<[1,4096,1280]>,
ttnn.clampaten::gelu4
5Tensor<[1,1024,2560]>,
Tensor<[1,1024,2560]>,
ttnn.clampaten::gelu4
6Tensor<[1,256,5120]>,
Tensor<[1,256,5120]>,
ttnn.clampaten::gelu4
7Tensor<[1,64,5120]>,
Tensor<[1,64,5120]>,
ttnn.clampaten::gelu4
8Tensor<[1,25,3072]>,
Tensor<[1,25,3072]>,
ttnn.clampaten::gelu4
9Tensor<[1,1445,768]>,
Tensor<[1,1445,768]>,
ttnn.clampaten::gelu4
10Tensor<[1,3072,8]>,
Tensor<[1,3072,8]>,
ttnn.clampaten::gelu4
11Tensor<[1,256,1280]>,
Tensor<[1,256,1280]>,
ttnn.clampaten::gelu4
12Tensor<[1,2048,768]>,
Tensor<[1,2048,768]>,
ttnn.clampaten::gelu4
13Tensor<[1,201,3072]>,
Tensor<[1,201,3072]>,
ttnn.clampaten::gelu4
14Tensor<[1,1536]>,
Tensor<[1,1536]>,
ttnn.clampaten::gelu4
15Tensor<[1,19,4096]>,
Tensor<[1,19,4096]>,
ttnn.clampaten::gelu4
16Tensor<[1,16,3072]>,
Tensor<[1,16,3072]>,
ttnn.clampaten::gelu4
17Scalar,
Tensor<[30]>,
Scalar,
ttnn.clampaten::clamp4
18Scalar,
Tensor<[30,1]>,
Scalar,
ttnn.clampaten::clamp4
19Scalar,
Tensor<[40]>,
Scalar,
ttnn.clampaten::clamp4
20Scalar,
Tensor<[60]>,
Scalar,
ttnn.clampaten::clamp4
21Scalar,
Tensor<[60,1]>,
Scalar,
ttnn.clampaten::clamp4
22Scalar,
Tensor<[80]>,
Scalar,
ttnn.clampaten::clamp4
23Scalar,
Tensor<[120]>,
Scalar,
ttnn.clampaten::clamp4
24Scalar,
Tensor<[120,1]>,
Scalar,
ttnn.clampaten::clamp4
25Scalar,
Tensor<[160]>,
Scalar,
ttnn.clampaten::clamp4
26Scalar,
Tensor<[240]>,
Scalar,
ttnn.clampaten::clamp4
27Scalar,
Tensor<[240,1]>,
Scalar,
ttnn.clampaten::clamp4
28Scalar,
Tensor<[320]>,
Scalar,
ttnn.clampaten::clamp4
29Scalar,
Tensor<[480]>,
Scalar,
ttnn.clampaten::clamp4
30Scalar,
Tensor<[480,1]>,
Scalar,
ttnn.clampaten::clamp4
31Scalar,
Tensor<[640]>,
Scalar,
ttnn.clampaten::clamp4
32Tensor<[1,19200,256]>,
Tensor<[1,19200,256]>,
ttnn.clampaten::gelu4
33Tensor<[1,4800,512]>,
Tensor<[1,4800,512]>,
ttnn.clampaten::gelu4
34Tensor<[1,1200,1280]>,
Tensor<[1,1200,1280]>,
ttnn.clampaten::gelu4
35Tensor<[1,300,2048]>,
Tensor<[1,300,2048]>,
ttnn.clampaten::gelu4
36Tensor<[1,197,3072]>,
Tensor<[1,197,3072]>,
ttnn.clampaten::gelu4
37Scalar,
Tensor<[128]>,
Scalar,
ttnn.clampaten::clamp4
38Scalar,
Tensor<[128,1]>,
Scalar,
ttnn.clampaten::clamp4
39Tensor<[1,16384,128]>,
Tensor<[1,16384,128]>,
ttnn.clampaten::gelu4
40Tensor<[1,4096,256]>,
Tensor<[1,4096,256]>,
ttnn.clampaten::gelu4
41Tensor<[1,1024,640]>,
Tensor<[1,1024,640]>,
ttnn.clampaten::gelu4
42Tensor<[1,256,1024]>,
Tensor<[1,256,1024]>,
ttnn.clampaten::gelu4
43Tensor<[1,7,18176]>,
Tensor<[1,7,18176]>,
ttnn.clampaten::gelu4
44Scalar,
Tensor<[27]>,
Scalar,
ttnn.clampaten::clamp4
45Scalar,
Tensor<[27,1]>,
Scalar,
ttnn.clampaten::clamp4
46Tensor<[1,197,4096]>,
Tensor<[1,197,4096]>,
ttnn.clampaten::gelu4

stablehlo.compare::ttnn.?

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,32]>,
Tensor<[1,32,32,32]>,
ttnn.eqaten::_safe_softmax4
1Tensor<[1,1,32,32]>,
Tensor<[1,1,32,32]>,
ttnn.eqaten::eq.Scalar4
2Tensor<[32,32]>,
Tensor<[32,32]>,
ttnn.gtaten::gt.Tensor4
3Tensor<[1,12,7,7]>,
Tensor<[1,12,7,7]>,
ttnn.eqaten::_safe_softmax4
4Tensor<[1,7]>,
Tensor<[1,7]>,
ttnn.eqaten::eq.Scalar4
5Tensor<[7,7]>,
Tensor<[7,7]>,
ttnn.ltaten::lt.Tensor4
6Tensor<[1,12,10,10]>,
Tensor<[1,12,10,10]>,
ttnn.eqaten::_safe_softmax4
7Tensor<[1,10]>,
Tensor<[1,10]>,
ttnn.neaten::ne.Scalar4
8Tensor<[1,8,4096,4096]>,
Tensor<[1,8,4096,4096]>,
ttnn.eqaten::_safe_softmax4
9Tensor<[1,8,4096,9]>,
Tensor<[1,8,4096,9]>,
ttnn.eqaten::_safe_softmax4
10Tensor<[1,8,1024,1024]>,
Tensor<[1,8,1024,1024]>,
ttnn.eqaten::_safe_softmax4
11Tensor<[1,8,1024,9]>,
Tensor<[1,8,1024,9]>,
ttnn.eqaten::_safe_softmax4
12Tensor<[1,8,256,256]>,
Tensor<[1,8,256,256]>,
ttnn.eqaten::_safe_softmax4
13Tensor<[1,8,256,9]>,
Tensor<[1,8,256,9]>,
ttnn.eqaten::_safe_softmax4
14Tensor<[1,8,64,64]>,
Tensor<[1,8,64,64]>,
ttnn.eqaten::_safe_softmax4
15Tensor<[1,8,64,9]>,
Tensor<[1,8,64,9]>,
ttnn.eqaten::_safe_softmax4
16Tensor<[1,12,25,25]>,
Tensor<[1,12,25,25]>,
ttnn.eqaten::_safe_softmax4
17Tensor<[1,3,1445,1445]>,
Tensor<[1,3,1445,1445]>,
ttnn.eqaten::_safe_softmax4
18Tensor<[19]>,
Tensor<[19]>,
ttnn.ltaten::lt.Scalar4
19Tensor<[19,19]>,
Tensor<[19,19]>,
ttnn.ltaten::lt.Tensor4
20Tensor<[1,12,16,16]>,
Tensor<[1,12,16,16]>,
ttnn.eqaten::_safe_softmax4
21Tensor<[1,12,197,197]>,
Tensor<[1,12,197,197]>,
ttnn.eqaten::_safe_softmax4
22Tensor<[1,71,7,7]>,
Tensor<[1,71,7,7]>,
ttnn.eqaten::_safe_softmax4
23Tensor<[1,1,7,7]>,
Tensor<[1,1,7,7]>,
ttnn.eqaten::eq.Scalar4
24Tensor<[1,12,12,12]>,
Tensor<[1,12,12,12]>,
ttnn.eqaten::_safe_softmax4
25Tensor<[1,12,9,9]>,
Tensor<[1,12,9,9]>,
ttnn.eqaten::_safe_softmax4
26Tensor<[1,16,9,9]>,
Tensor<[1,16,9,9]>,
ttnn.eqaten::_safe_softmax4
27Tensor<[1,64,9,9]>,
Tensor<[1,64,9,9]>,
ttnn.eqaten::_safe_softmax4
28Tensor<[1,12,14,14]>,
Tensor<[1,12,14,14]>,
ttnn.eqaten::_safe_softmax4
29Tensor<[1,12,50,50]>,
Tensor<[1,12,50,50]>,
ttnn.eqaten::_safe_softmax4
30Tensor<[2,8,7,7]>,
Tensor<[2,8,7,7]>,
ttnn.eqaten::_safe_softmax4
31Tensor<[197]>,
Tensor<[197]>,
ttnn.geaten::ge.Scalar4

stablehlo.concatenate::ttnn.concat

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,64]>,
Tensor<[1,32,64]>,
dim: 2
ttnn.concataten::cat5
1Tensor<[1,32,32,64]>,
Tensor<[1,32,32,64]>,
dim: 3
ttnn.concataten::cat5
2Tensor<[1,1]>,
Tensor<[1,1]>,
dim: 1
ttnn.concataten::index.Tensor4
3Tensor<[1,128,28,28]>,
Tensor<[1,19,28,28]>,
Tensor<[1,38,28,28]>,
dim: 1
ttnn.concataten::cat5
4Tensor<[1,23,40,128]>,
Tensor<[1,23,40,128]>,
dim: 3
ttnn.concataten::cat5
5Tensor<[1,1,23,40,1]>,
Tensor<[1,1,23,40,1]>,
Tensor<[1,1,23,40,1]>,
Tensor<[1,1,23,40,1]>,
dim: 4
ttnn.concataten::index.Tensor4
6Tensor<[1,23,40,64,1]>,
Tensor<[1,23,40,64,1]>,
dim: 4
ttnn.concataten::stack5
7Tensor<[1,100,1,256]>,
Tensor<[1,100,1,256]>,
Tensor<[1,100,1,256]>,
Tensor<[1,100,1,256]>,
Tensor<[1,100,1,256]>,
Tensor<[1,100,1,256]>,
dim: 0
ttnn.concataten::stack5
8Tensor<[1,160]>,
Tensor<[1,160]>,
dim: 1
ttnn.concataten::cat5
9Tensor<[1,1280,8,8]>,
Tensor<[1,1280,8,8]>,
dim: 1
ttnn.concataten::cat5
10Tensor<[1,1280,16,16]>,
Tensor<[1,1280,16,16]>,
dim: 1
ttnn.concataten::cat5
11Tensor<[1,1280,16,16]>,
Tensor<[1,640,16,16]>,
dim: 1
ttnn.concataten::cat5
12Tensor<[1,1280,32,32]>,
Tensor<[1,640,32,32]>,
dim: 1
ttnn.concataten::cat5
13Tensor<[1,640,32,32]>,
Tensor<[1,640,32,32]>,
dim: 1
ttnn.concataten::cat5
14Tensor<[1,640,32,32]>,
Tensor<[1,320,32,32]>,
dim: 1
ttnn.concataten::cat5
15Tensor<[1,640,64,64]>,
Tensor<[1,320,64,64]>,
dim: 1
ttnn.concataten::cat5
16Tensor<[1,320,64,64]>,
Tensor<[1,320,64,64]>,
dim: 1
ttnn.concataten::cat5
17Tensor<[1,1280,16,16,1]>,
Tensor<[1,1280,16,16,1]>,
Tensor<[1,1280,16,16,1]>,
Tensor<[1,1280,16,16,1]>,
dim: 4
ttnn.concataten::index.Tensor4
18Tensor<[1,1280,32,32,1]>,
Tensor<[1,1280,32,32,1]>,
Tensor<[1,1280,32,32,1]>,
Tensor<[1,1280,32,32,1]>,
dim: 4
ttnn.concataten::index.Tensor4
19Tensor<[1,640,64,64,1]>,
Tensor<[1,640,64,64,1]>,
Tensor<[1,640,64,64,1]>,
Tensor<[1,640,64,64,1]>,
dim: 4
ttnn.concataten::index.Tensor4
20Tensor<[1,1,192]>,
Tensor<[1,1344,192]>,
Tensor<[1,100,192]>,
dim: 1
ttnn.concataten::cat5
21Tensor<[1,8,768]>,
Tensor<[1,193,768]>,
dim: 1
ttnn.concataten::cat5
22Tensor<[1,8]>,
Tensor<[1,193]>,
dim: 1
ttnn.concataten::cat4
23Tensor<[1,1,12,16,1]>,
Tensor<[1,1,12,16,1]>,
Tensor<[1,1,12,16,1]>,
Tensor<[1,1,12,16,1]>,
dim: 4
ttnn.concataten::index.Tensor4
24Tensor<[12,16,1]>,
Tensor<[12,16,1]>,
dim: 2
ttnn.concataten::stack4
25Tensor<[19,1,1]>,
Tensor<[19,1,1]>,
dim: 2
ttnn.concataten::gather4
26Tensor<[1,14,56,56]>,
Tensor<[1,64,56,56]>,
dim: 1
ttnn.concataten::cat5
27Tensor<[1,14,56,56]>,
Tensor<[1,24,56,56]>,
Tensor<[1,64,56,56]>,
dim: 1
ttnn.concataten::cat5
28Tensor<[1,14,56,56]>,
Tensor<[1,40,56,56]>,
dim: 1
ttnn.concataten::cat5
29Tensor<[1,14,56,56]>,
Tensor<[1,24,56,56]>,
Tensor<[1,40,56,56]>,
Tensor<[1,64,56,56]>,
dim: 1
ttnn.concataten::cat5
30Tensor<[1,14,56,56]>,
Tensor<[1,14,56,56]>,
Tensor<[1,14,56,56]>,
Tensor<[1,14,56,56]>,
Tensor<[1,68,56,56]>,
dim: 1
ttnn.concataten::cat5
31Tensor<[1,16,28,28]>,
Tensor<[1,128,28,28]>,
dim: 1
ttnn.concataten::cat5
32Tensor<[1,16,28,28]>,
Tensor<[1,28,28,28]>,
Tensor<[1,128,28,28]>,
dim: 1
ttnn.concataten::cat5
33Tensor<[1,16,28,28]>,
Tensor<[1,46,28,28]>,
dim: 1
ttnn.concataten::cat5
34Tensor<[1,16,28,28]>,
Tensor<[1,28,28,28]>,
Tensor<[1,46,28,28]>,
Tensor<[1,128,28,28]>,
dim: 1
ttnn.concataten::cat5
35Tensor<[1,16,28,28]>,
Tensor<[1,78,28,28]>,
dim: 1
ttnn.concataten::cat5
36Tensor<[1,16,28,28]>,
Tensor<[1,28,28,28]>,
Tensor<[1,78,28,28]>,
dim: 1
ttnn.concataten::cat5
37Tensor<[1,16,28,28]>,
Tensor<[1,28,28,28]>,
Tensor<[1,46,28,28]>,
Tensor<[1,78,28,28]>,
Tensor<[1,128,28,28]>,
dim: 1
ttnn.concataten::cat5
38Tensor<[1,16,28,28]>,
Tensor<[1,16,28,28]>,
Tensor<[1,16,28,28]>,
Tensor<[1,16,28,28]>,
Tensor<[1,16,28,28]>,
Tensor<[1,16,28,28]>,
Tensor<[1,16,28,28]>,
Tensor<[1,16,28,28]>,
Tensor<[1,134,28,28]>,
dim: 1
ttnn.concataten::cat5
39Tensor<[1,20,28,28]>,
Tensor<[1,256,28,28]>,
dim: 1
ttnn.concataten::cat5
40Tensor<[1,20,28,28]>,
Tensor<[1,34,28,28]>,
Tensor<[1,256,28,28]>,
dim: 1
ttnn.concataten::cat5
41Tensor<[1,20,28,28]>,
Tensor<[1,58,28,28]>,
dim: 1
ttnn.concataten::cat5
42Tensor<[1,20,28,28]>,
Tensor<[1,34,28,28]>,
Tensor<[1,58,28,28]>,
Tensor<[1,256,28,28]>,
dim: 1
ttnn.concataten::cat5
43Tensor<[1,20,28,28]>,
Tensor<[1,98,28,28]>,
dim: 1
ttnn.concataten::cat5
44Tensor<[1,20,28,28]>,
Tensor<[1,34,28,28]>,
Tensor<[1,98,28,28]>,
dim: 1
ttnn.concataten::cat5
45Tensor<[1,20,28,28]>,
Tensor<[1,34,28,28]>,
Tensor<[1,58,28,28]>,
Tensor<[1,98,28,28]>,
Tensor<[1,256,28,28]>,
dim: 1
ttnn.concataten::cat5
46Tensor<[1,20,28,28]>,
Tensor<[1,20,28,28]>,
Tensor<[1,20,28,28]>,
Tensor<[1,20,28,28]>,
Tensor<[1,20,28,28]>,
Tensor<[1,20,28,28]>,
Tensor<[1,20,28,28]>,
Tensor<[1,20,28,28]>,
Tensor<[1,168,28,28]>,
dim: 1
ttnn.concataten::cat5
47Tensor<[1,40,14,14]>,
Tensor<[1,320,14,14]>,
dim: 1
ttnn.concataten::cat5
48Tensor<[1,40,14,14]>,
Tensor<[1,68,14,14]>,
Tensor<[1,320,14,14]>,
dim: 1
ttnn.concataten::cat5
49Tensor<[1,40,14,14]>,
Tensor<[1,116,14,14]>,
dim: 1
ttnn.concataten::cat5
50Tensor<[1,40,14,14]>,
Tensor<[1,68,14,14]>,
Tensor<[1,116,14,14]>,
Tensor<[1,320,14,14]>,
dim: 1
ttnn.concataten::cat5
51Tensor<[1,40,14,14]>,
Tensor<[1,196,14,14]>,
dim: 1
ttnn.concataten::cat5
52Tensor<[1,40,14,14]>,
Tensor<[1,68,14,14]>,
Tensor<[1,196,14,14]>,
dim: 1
ttnn.concataten::cat5
53Tensor<[1,40,14,14]>,
Tensor<[1,68,14,14]>,
Tensor<[1,116,14,14]>,
Tensor<[1,196,14,14]>,
Tensor<[1,320,14,14]>,
dim: 1
ttnn.concataten::cat5
54Tensor<[1,40,14,14]>,
Tensor<[1,40,14,14]>,
Tensor<[1,40,14,14]>,
Tensor<[1,40,14,14]>,
Tensor<[1,40,14,14]>,
Tensor<[1,40,14,14]>,
Tensor<[1,40,14,14]>,
Tensor<[1,40,14,14]>,
Tensor<[1,334,14,14]>,
dim: 1
ttnn.concataten::cat5
55Tensor<[1,160,7,7]>,
Tensor<[1,640,7,7]>,
dim: 1
ttnn.concataten::cat5
56Tensor<[1,160,7,7]>,
Tensor<[1,272,7,7]>,
Tensor<[1,640,7,7]>,
dim: 1
ttnn.concataten::cat5
57Tensor<[1,160,7,7]>,
Tensor<[1,160,7,7]>,
Tensor<[1,462,7,7]>,
dim: 1
ttnn.concataten::cat5
58Tensor<[1,256,32,32]>,
Tensor<[1,512,32,32]>,
dim: 1
ttnn.concataten::cat5
59Tensor<[1,128,64,64]>,
Tensor<[1,256,64,64]>,
dim: 1
ttnn.concataten::cat5
60Tensor<[1,256,32,32,1]>,
Tensor<[1,256,32,32,1]>,
Tensor<[1,256,32,32,1]>,
Tensor<[1,256,32,32,1]>,
dim: 4
ttnn.concataten::index.Tensor4
61Tensor<[1,128,64,64,1]>,
Tensor<[1,128,64,64,1]>,
Tensor<[1,128,64,64,1]>,
Tensor<[1,128,64,64,1]>,
dim: 4
ttnn.concataten::index.Tensor4
62Tensor<[1,256,32,32]>,
Tensor<[1,256,32,32]>,
dim: 1
ttnn.concataten::cat5
63Tensor<[1,128,64,64]>,
Tensor<[1,128,64,64]>,
dim: 1
ttnn.concataten::cat5
64Tensor<[1,64,128,128]>,
Tensor<[1,64,128,128]>,
dim: 1
ttnn.concataten::cat5
65Tensor<[1,32,256,256]>,
Tensor<[1,32,256,256]>,
dim: 1
ttnn.concataten::cat5
66Tensor<[1,512,28,28]>,
Tensor<[1,512,28,28]>,
dim: 1
ttnn.concataten::cat5
67Tensor<[1,256,56,56]>,
Tensor<[1,256,56,56]>,
dim: 1
ttnn.concataten::cat5
68Tensor<[1,128,112,112]>,
Tensor<[1,128,112,112]>,
dim: 1
ttnn.concataten::cat5
69Tensor<[1,64,224,224]>,
Tensor<[1,64,224,224]>,
dim: 1
ttnn.concataten::cat5
70Tensor<[1,64,30,40]>,
Tensor<[1,64,30,40]>,
dim: 1
ttnn.concataten::cat5
71Tensor<[1,64,60,80]>,
Tensor<[1,64,60,80]>,
dim: 1
ttnn.concataten::cat5
72Tensor<[1,64,120,160]>,
Tensor<[1,64,120,160]>,
dim: 1
ttnn.concataten::cat5
73Tensor<[1,64,30,40,1]>,
Tensor<[1,64,30,40,1]>,
Tensor<[1,64,30,40,1]>,
Tensor<[1,64,30,40,1]>,
dim: 4
ttnn.concataten::index.Tensor4
74Tensor<[1,64,60,80,1]>,
Tensor<[1,64,60,80,1]>,
Tensor<[1,64,60,80,1]>,
Tensor<[1,64,60,80,1]>,
dim: 4
ttnn.concataten::index.Tensor4
75Tensor<[1,64,120,160,1]>,
Tensor<[1,64,120,160,1]>,
Tensor<[1,64,120,160,1]>,
Tensor<[1,64,120,160,1]>,
dim: 4
ttnn.concataten::index.Tensor4
76Tensor<[1,64,240,320,1]>,
Tensor<[1,64,240,320,1]>,
Tensor<[1,64,240,320,1]>,
Tensor<[1,64,240,320,1]>,
dim: 4
ttnn.concataten::index.Tensor4
77Tensor<[1,64,480,640,1]>,
Tensor<[1,64,480,640,1]>,
Tensor<[1,64,480,640,1]>,
Tensor<[1,64,480,640,1]>,
dim: 4
ttnn.concataten::index.Tensor4
78Tensor<[1,1,768]>,
Tensor<[1,196,768]>,
dim: 1
ttnn.concataten::cat5
79Tensor<[1,256,128,128]>,
Tensor<[1,256,128,128]>,
Tensor<[1,256,128,128]>,
Tensor<[1,256,128,128]>,
dim: 1
ttnn.concataten::cat5
80Tensor<[1,256,128,128,1]>,
Tensor<[1,256,128,128,1]>,
Tensor<[1,256,128,128,1]>,
Tensor<[1,256,128,128,1]>,
dim: 4
ttnn.concataten::index.Tensor4
81Tensor<[1,7,32]>,
Tensor<[1,7,32]>,
dim: 2
ttnn.concataten::cat5
82Tensor<[1,71,7,32]>,
Tensor<[1,71,7,32]>,
dim: 3
ttnn.concataten::cat5
83Tensor<[1,1,7,32]>,
Tensor<[1,1,7,32]>,
dim: 3
ttnn.concataten::cat5
84Tensor<[1,7,1,64,1]>,
Tensor<[1,7,1,64,1]>,
Tensor<[1,7,1,64,1]>,
Tensor<[1,7,1,64,1]>,
dim: 4
ttnn.concataten::index.Tensor4
85Tensor<[1,1,768]>,
Tensor<[1,49,768]>,
dim: 1
ttnn.concataten::cat5
86Tensor<[2,1]>,
Tensor<[2,1]>,
dim: 1
ttnn.concataten::index.Tensor4
87Tensor<[1,1,1024]>,
Tensor<[1,196,1024]>,
dim: 1
ttnn.concataten::cat5
88Tensor<[729,16]>,
Tensor<[3,16]>,
dim: 0
ttnn.concataten::cat5
89Tensor<[1,16,27,27,1]>,
Tensor<[1,16,27,27,1]>,
Tensor<[1,16,27,27,1]>,
Tensor<[1,16,27,27,1]>,
dim: 4
ttnn.concataten::index.Tensor4
90Tensor<[1,14,14]>,
Tensor<[1,14,14]>,
dim: 0
ttnn.concataten::stack4
91Tensor<[729,12]>,
Tensor<[3,12]>,
dim: 0
ttnn.concataten::cat5
92Tensor<[1,12,27,27,1]>,
Tensor<[1,12,27,27,1]>,
Tensor<[1,12,27,27,1]>,
Tensor<[1,12,27,27,1]>,
dim: 4
ttnn.concataten::index.Tensor4

stablehlo.constant

STABLE HLO Input Variationsttnn opTorch NameStatus
0Scalar,
aten::_safe_softmax4
1Tensor<[32]>,
aten::arange4
2Tensor<[32,1]>,
aten::triu4
3Tensor<[7]>,
aten::add.Tensor4
4Tensor<[1]>,
aten::arange4
5Tensor<[1,7]>,
aten::eq.Scalar4
6Tensor<[64]>,
aten::reciprocal5
7Tensor<[128]>,
aten::reciprocal5
8Tensor<[256]>,
aten::reciprocal5
9Tensor<[512]>,
aten::reciprocal5
10Tensor<[1,32,112,112]>,
aten::relu4
11Tensor<[1,64,112,112]>,
aten::relu4
12Tensor<[1,64,56,56]>,
aten::relu4
13Tensor<[1,128,56,56]>,
aten::relu4
14Tensor<[1,128,28,28]>,
aten::relu4
15Tensor<[1,256,28,28]>,
aten::relu4
16Tensor<[1,512,28,28]>,
aten::relu4
17Tensor<[1,1024,512]>,
aten::gelu4
18Tensor<[1,256,256]>,
aten::gelu4
19Tensor<[1,720,1280]>,
aten::ones4
20Tensor<[1,64,360,640]>,
aten::relu4
21Tensor<[1,64,180,320]>,
aten::relu4
22Tensor<[1,256,180,320]>,
aten::relu4
23Tensor<[1,128,180,320]>,
aten::relu4
24Tensor<[1,128,90,160]>,
aten::relu4
25Tensor<[1,512,90,160]>,
aten::relu4
26Tensor<[1,256,90,160]>,
aten::relu4
27Tensor<[1,256,45,80]>,
aten::relu4
28Tensor<[1,1024,45,80]>,
aten::relu4
29Tensor<[1,512,45,80]>,
aten::relu4
30Tensor<[1,512,23,40]>,
aten::relu4
31Tensor<[1,2048,23,40]>,
aten::relu4
32Tensor<[920,1,2048]>,
aten::relu4
33Tensor<[100,1,2048]>,
aten::relu4
34Tensor<[6,1,100,256]>,
aten::relu4
35Tensor<[1,1]>,
aten::select_scatter4
36Tensor<[1,3,720,1280]>,
aten::zeros5
37Tensor<[1,10]>,
aten::add.Tensor5
38Tensor<[1,10,3072]>,
aten::gelu4
39Tensor<[1,10,768]>,
aten::gelu4
40Tensor<[1,4096,1280]>,
aten::gelu4
41Tensor<[1,1024,2560]>,
aten::gelu4
42Tensor<[1,256,5120]>,
aten::gelu4
43Tensor<[1,64,5120]>,
aten::gelu4
44Tensor<[1280]>,
aten::index.Tensor4
45Tensor<[640]>,
aten::index.Tensor4
46Tensor<[1,25,3072]>,
aten::gelu4
47Tensor<[1,1445,768]>,
aten::gelu4
48Tensor<[1,100,192]>,
aten::relu4
49Tensor<[1,256,14,14]>,
aten::relu4
50Tensor<[1,512,7,7]>,
aten::relu4
51Tensor<[1,3072,8]>,
aten::gelu4
52Tensor<[2048]>,
aten::arange.start4
53Tensor<[1,256,1280]>,
aten::gelu4
54Tensor<[1,2048,768]>,
aten::gelu4
55Tensor<[1024]>,
aten::reciprocal5
56Tensor<[1,256,56,56]>,
aten::relu4
57Tensor<[1,1024,14,14]>,
aten::relu4
58Tensor<[1,512,14,14]>,
aten::relu4
59Tensor<[1,2048,7,7]>,
aten::relu4
60Tensor<[1,193]>,
aten::full_like4
61Tensor<[1,201,3072]>,
aten::gelu4
62Tensor<[1,1536]>,
aten::gelu4
63Tensor<[1,192]>,
aten::rsub.Scalar4
64Tensor<[1,8]>,
aten::zeros_like4
65Tensor<[1,32,26,26]>,
aten::relu4
66Tensor<[1,64,24,24]>,
aten::relu4
67Tensor<[1,128]>,
aten::relu4
68Tensor<[19]>,
aten::add.Tensor4
69Tensor<[1,19]>,
aten::add.Tensor4
70Tensor<[1,19,4096]>,
aten::gelu4
71Tensor<[14]>,
aten::reciprocal5
72Tensor<[24]>,
aten::reciprocal5
73Tensor<[40]>,
aten::reciprocal5
74Tensor<[68]>,
aten::reciprocal5
75Tensor<[16]>,
aten::reciprocal5
76Tensor<[28]>,
aten::reciprocal5
77Tensor<[46]>,
aten::reciprocal5
78Tensor<[78]>,
aten::reciprocal5
79Tensor<[134]>,
aten::reciprocal5
80Tensor<[20]>,
aten::reciprocal5
81Tensor<[34]>,
aten::reciprocal5
82Tensor<[58]>,
aten::reciprocal5
83Tensor<[98]>,
aten::reciprocal5
84Tensor<[168]>,
aten::reciprocal5
85Tensor<[320]>,
aten::reciprocal5
86Tensor<[116]>,
aten::reciprocal5
87Tensor<[196]>,
aten::reciprocal5
88Tensor<[334]>,
aten::reciprocal5
89Tensor<[160]>,
aten::reciprocal5
90Tensor<[272]>,
aten::reciprocal5
91Tensor<[462]>,
aten::reciprocal5
92Tensor<[1,32,256,256]>,
aten::relu4
93Tensor<[1,64,128,128]>,
aten::relu4
94Tensor<[1,128,64,64]>,
aten::relu4
95Tensor<[1,256,32,32]>,
aten::relu4
96Tensor<[1,512,16,16]>,
aten::relu4
97Tensor<[1,16,28,28]>,
aten::relu4
98Tensor<[1,4,14,14]>,
aten::relu4
99Tensor<[1,16,14,14]>,
aten::relu4
100Tensor<[1,32]>,
aten::sub.Tensor4
101Tensor<[1,16,3072]>,
aten::gelu4
102Tensor<[1,64,224,224]>,
aten::relu4
103Tensor<[1,128,112,112]>,
aten::relu4
104Tensor<[30,1]>,
aten::add.Tensor4
105Tensor<[60,1]>,
aten::add.Tensor4
106Tensor<[80]>,
aten::add.Tensor4
107Tensor<[120,1]>,
aten::add.Tensor4
108Tensor<[240,1]>,
aten::add.Tensor4
109Tensor<[480,1]>,
aten::add.Tensor4
110Tensor<[30]>,
aten::arange4
111Tensor<[60]>,
aten::arange4
112Tensor<[120]>,
aten::arange4
113Tensor<[240]>,
aten::arange4
114Tensor<[480]>,
aten::arange4
115Tensor<[1,19200,256]>,
aten::gelu4
116Tensor<[1,4800,512]>,
aten::gelu4
117Tensor<[1,1200,1280]>,
aten::gelu4
118Tensor<[1,300,2048]>,
aten::gelu4
119Tensor<[1,64,30,40]>,
aten::relu4
120Tensor<[1,32,30,40]>,
aten::relu4
121Tensor<[1,64,60,80]>,
aten::relu4
122Tensor<[1,32,60,80]>,
aten::relu4
123Tensor<[1,64,120,160]>,
aten::relu4
124Tensor<[1,32,120,160]>,
aten::relu4
125Tensor<[1,64,480,640]>,
aten::relu4
126Tensor<[1,197,3072]>,
aten::gelu4
127Tensor<[128,1]>,
aten::add.Tensor4
128Tensor<[1,16384,128]>,
aten::gelu4
129Tensor<[1,4096,256]>,
aten::gelu4
130Tensor<[1,1024,640]>,
aten::gelu4
131Tensor<[1,256,1024]>,
aten::gelu4
132Tensor<[1,256,128,128]>,
aten::relu4
133Tensor<[1,7,18176]>,
aten::gelu4
134Tensor<[7,1]>,
aten::triu4
135Tensor<[96]>,
aten::reciprocal5
136Tensor<[144]>,
aten::reciprocal5
137Tensor<[192]>,
aten::reciprocal5
138Tensor<[384]>,
aten::reciprocal5
139Tensor<[576]>,
aten::reciprocal5
140Tensor<[960]>,
aten::reciprocal5
141Tensor<[2]>,
aten::arange4
142Tensor<[27,1]>,
aten::add.Tensor4
143Tensor<[27]>,
aten::add.Tensor4
144Tensor<[196,196]>,
aten::add.Tensor4
145Tensor<[197]>,
aten::arange4
146Tensor<[1,197,4096]>,
aten::gelu4
147Tensor<[197,197]>,
aten::zeros4
148Tensor<[12]>,
aten::index.Tensor4
149Tensor<[1,64]>,
aten::relu4
150Tensor<[1,12]>,
aten::relu4

stablehlo.convert

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1]>,
aten::_safe_softmax4
1Scalar,
aten::_safe_softmax4
2Tensor<[1,1,1,32]>,
aten::add.Tensor4
3Tensor<[1,1,32,32]>,
aten::add.Tensor4
4Tensor<[1,32,4096]>,
aten::embedding4
5Tensor<[32,32]>,
aten::mul.Tensor5
6Tensor<[1,1,32]>,
prims::convert_element_type4
7Tensor<[1,32,128]>,
prims::convert_element_type5
8Tensor<[1,32,32,128]>,
prims::convert_element_type5
9Tensor<[768]>,
aten::add.Tensor4
10Tensor<[1,1,7,7]>,
aten::add.Tensor4
11Tensor<[1,7,768]>,
aten::embedding4
12Tensor<[7,7]>,
prims::convert_element_type5
13Tensor<[2304]>,
prims::convert_element_type5
14Tensor<[7,768]>,
prims::convert_element_type5
15Tensor<[768,2304]>,
prims::convert_element_type5
16Tensor<[7,2304]>,
prims::convert_element_type5
17Tensor<[1,12,7,64]>,
prims::convert_element_type5
18Tensor<[768,768]>,
prims::convert_element_type5
19Tensor<[3072]>,
prims::convert_element_type5
20Tensor<[768,3072]>,
prims::convert_element_type5
21Tensor<[7,3072]>,
prims::convert_element_type5
22Tensor<[3072,768]>,
prims::convert_element_type5
23Tensor<[1,7]>,
prims::convert_element_type5
24Tensor<[32,1,1]>,
aten::add.Tensor4
25Tensor<[64,1,1]>,
aten::add.Tensor4
26Tensor<[128,1,1]>,
aten::add.Tensor4
27Tensor<[256,1,1]>,
aten::add.Tensor4
28Tensor<[512,1,1]>,
aten::add.Tensor4
29Tensor<[1,32,112,112]>,
aten::sub.Tensor4
30Tensor<[1,64,112,112]>,
aten::sub.Tensor4
31Tensor<[1,64,56,56]>,
aten::sub.Tensor4
32Tensor<[1,128,56,56]>,
aten::sub.Tensor4
33Tensor<[1,128,28,28]>,
aten::sub.Tensor4
34Tensor<[1,256,28,28]>,
aten::sub.Tensor4
35Tensor<[1,512,28,28]>,
aten::sub.Tensor4
36Tensor<[32]>,
prims::convert_element_type5
37Tensor<[64]>,
prims::convert_element_type5
38Tensor<[128]>,
prims::convert_element_type5
39Tensor<[256]>,
prims::convert_element_type5
40Tensor<[512]>,
prims::convert_element_type5
41Tensor<[1,1024,512]>,
aten::gelu4
42Tensor<[1,256,256]>,
aten::gelu4
43Tensor<[1,256,512]>,
aten::sub.Tensor4
44Tensor<[256,768]>,
prims::convert_element_type5
45Tensor<[768,512]>,
prims::convert_element_type5
46Tensor<[256,512]>,
prims::convert_element_type5
47Tensor<[512,256]>,
prims::convert_element_type5
48Tensor<[256,256]>,
prims::convert_element_type5
49Tensor<[1000]>,
prims::convert_element_type5
50Tensor<[1,512]>,
prims::convert_element_type5
51Tensor<[512,1000]>,
prims::convert_element_type5
52Tensor<[1,1000]>,
prims::convert_element_type5
53Tensor<[8,920,920]>,
aten::_softmax4
54Tensor<[8,100,100]>,
aten::_softmax4
55Tensor<[8,100,920]>,
aten::_softmax4
56Tensor<[1,23,40]>,
aten::cumsum4
57Tensor<[920,1,256]>,
aten::sub.Tensor4
58Tensor<[100,1,256]>,
aten::sub.Tensor4
59Tensor<[1,3,720,1280]>,
aten::zeros5
60Tensor<[1,1,720,1280]>,
prims::convert_element_type5
61Tensor<[23]>,
prims::convert_element_type4
62Tensor<[40]>,
prims::convert_element_type4
63Tensor<[1,1,23,40]>,
prims::convert_element_type5
64Tensor<[1,256,23,40]>,
prims::convert_element_type5
65Tensor<[920,256]>,
prims::convert_element_type5
66Tensor<[2048]>,
prims::convert_element_type5
67Tensor<[256,2048]>,
prims::convert_element_type5
68Tensor<[920,2048]>,
prims::convert_element_type5
69Tensor<[2048,256]>,
prims::convert_element_type5
70Tensor<[100,256]>,
prims::convert_element_type5
71Tensor<[100,2048]>,
prims::convert_element_type5
72Tensor<[1,1,10,10]>,
aten::add.Tensor4
73Tensor<[1,10]>,
aten::cumsum4
74Tensor<[1,10,768]>,
aten::embedding4
75Tensor<[1,10,3072]>,
aten::gelu4
76Tensor<[10,768]>,
prims::convert_element_type5
77Tensor<[1,12,10,64]>,
prims::convert_element_type5
78Tensor<[10,3072]>,
prims::convert_element_type5
79Tensor<[250002]>,
prims::convert_element_type5
80Tensor<[768,250002]>,
prims::convert_element_type5
81Tensor<[10,250002]>,
prims::convert_element_type5
82Tensor<[1,320,1,1]>,
aten::add.Tensor4
83Tensor<[320]>,
aten::add.Tensor4
84Tensor<[640]>,
aten::add.Tensor4
85Tensor<[1,640,1,1]>,
aten::add.Tensor4
86Tensor<[1280]>,
aten::add.Tensor4
87Tensor<[1,1280,1,1]>,
aten::add.Tensor4
88Tensor<[1,2560,1,1]>,
aten::add.Tensor4
89Tensor<[1,1920,1,1]>,
aten::add.Tensor4
90Tensor<[1,960,1,1]>,
aten::add.Tensor4
91Tensor<[1,4096,1280]>,
aten::gelu4
92Tensor<[1,1024,2560]>,
aten::gelu4
93Tensor<[1,256,5120]>,
aten::gelu4
94Tensor<[1,64,5120]>,
aten::gelu4
95Tensor<[1,32,10,4096]>,
aten::sub.Tensor4
96Tensor<[1,4096,320]>,
aten::sub.Tensor4
97Tensor<[1,32,10,1024]>,
aten::sub.Tensor4
98Tensor<[1,32,20,1024]>,
aten::sub.Tensor4
99Tensor<[1,1024,640]>,
aten::sub.Tensor4
100Tensor<[1,32,20,256]>,
aten::sub.Tensor4
101Tensor<[1,32,40,256]>,
aten::sub.Tensor4
102Tensor<[1,256,1280]>,
aten::sub.Tensor4
103Tensor<[1,32,40,64]>,
aten::sub.Tensor4
104Tensor<[1,64,1280]>,
aten::sub.Tensor4
105Tensor<[1,32,80,64]>,
aten::sub.Tensor4
106Tensor<[1,32,80,256]>,
aten::sub.Tensor4
107Tensor<[1,32,60,256]>,
aten::sub.Tensor4
108Tensor<[1,32,60,1024]>,
aten::sub.Tensor4
109Tensor<[1,32,40,1024]>,
aten::sub.Tensor4
110Tensor<[1,32,30,1024]>,
aten::sub.Tensor4
111Tensor<[1,32,30,4096]>,
aten::sub.Tensor4
112Tensor<[1,32,20,4096]>,
aten::sub.Tensor4
113Tensor<[1,1]>,
prims::convert_element_type4
114Tensor<[1,320]>,
prims::convert_element_type5
115Tensor<[320,1280]>,
prims::convert_element_type5
116Tensor<[1,1280]>,
prims::convert_element_type5
117Tensor<[1280,1280]>,
prims::convert_element_type5
118Tensor<[1,320,64,64]>,
prims::convert_element_type5
119Tensor<[1280,320]>,
prims::convert_element_type5
120Tensor<[1,8,4096,40]>,
prims::convert_element_type5
121Tensor<[4096,320]>,
prims::convert_element_type5
122Tensor<[320,320]>,
prims::convert_element_type5
123Tensor<[1,8,9,40]>,
prims::convert_element_type5
124Tensor<[2560]>,
prims::convert_element_type5
125Tensor<[320,2560]>,
prims::convert_element_type5
126Tensor<[4096,2560]>,
prims::convert_element_type5
127Tensor<[4096,1280]>,
prims::convert_element_type5
128Tensor<[1,320,32,32]>,
prims::convert_element_type5
129Tensor<[1280,640]>,
prims::convert_element_type5
130Tensor<[1,640]>,
prims::convert_element_type5
131Tensor<[1,640,32,32]>,
prims::convert_element_type5
132Tensor<[1,8,1024,80]>,
prims::convert_element_type5
133Tensor<[1024,640]>,
prims::convert_element_type5
134Tensor<[640,640]>,
prims::convert_element_type5
135Tensor<[1,8,9,80]>,
prims::convert_element_type5
136Tensor<[5120]>,
prims::convert_element_type5
137Tensor<[640,5120]>,
prims::convert_element_type5
138Tensor<[1024,5120]>,
prims::convert_element_type5
139Tensor<[1024,2560]>,
prims::convert_element_type5
140Tensor<[2560,640]>,
prims::convert_element_type5
141Tensor<[1,640,16,16]>,
prims::convert_element_type5
142Tensor<[1,1280,16,16]>,
prims::convert_element_type5
143Tensor<[1,8,256,160]>,
prims::convert_element_type5
144Tensor<[256,1280]>,
prims::convert_element_type5
145Tensor<[1,8,9,160]>,
prims::convert_element_type5
146Tensor<[10240]>,
prims::convert_element_type5
147Tensor<[1280,10240]>,
prims::convert_element_type5
148Tensor<[256,10240]>,
prims::convert_element_type5
149Tensor<[256,5120]>,
prims::convert_element_type5
150Tensor<[5120,1280]>,
prims::convert_element_type5
151Tensor<[1,1280,8,8]>,
prims::convert_element_type5
152Tensor<[1,8,64,160]>,
prims::convert_element_type5
153Tensor<[64,1280]>,
prims::convert_element_type5
154Tensor<[64,10240]>,
prims::convert_element_type5
155Tensor<[64,5120]>,
prims::convert_element_type5
156Tensor<[1,2560,8,8]>,
prims::convert_element_type5
157Tensor<[16]>,
prims::convert_element_type4
158Tensor<[1,2560,16,16]>,
prims::convert_element_type5
159Tensor<[1,1920,16,16]>,
prims::convert_element_type5
160Tensor<[1,1280,32,32]>,
prims::convert_element_type5
161Tensor<[1,1920,32,32]>,
prims::convert_element_type5
162Tensor<[1,960,32,32]>,
prims::convert_element_type5
163Tensor<[1,640,64,64]>,
prims::convert_element_type5
164Tensor<[1,960,64,64]>,
prims::convert_element_type5
165Tensor<[1,1,25,25]>,
aten::add.Tensor4
166Tensor<[1,25,768]>,
aten::embedding4
167Tensor<[1,25,3072]>,
aten::gelu4
168Tensor<[25,768]>,
prims::convert_element_type5
169Tensor<[1,12,25,64]>,
prims::convert_element_type5
170Tensor<[25,3072]>,
prims::convert_element_type5
171Tensor<[2]>,
prims::convert_element_type5
172Tensor<[768,2]>,
prims::convert_element_type5
173Tensor<[25,2]>,
prims::convert_element_type5
174Tensor<[1,768]>,
prims::convert_element_type5
175Tensor<[768,1]>,
prims::convert_element_type5
176Tensor<[192]>,
aten::add.Tensor4
177Tensor<[1,1445,768]>,
aten::gelu4
178Tensor<[1,1445,192]>,
aten::sub.Tensor4
179Tensor<[1445,192]>,
prims::convert_element_type5
180Tensor<[192,192]>,
prims::convert_element_type5
181Tensor<[1,3,1445,64]>,
prims::convert_element_type5
182Tensor<[192,768]>,
prims::convert_element_type5
183Tensor<[1445,768]>,
prims::convert_element_type5
184Tensor<[768,192]>,
prims::convert_element_type5
185Tensor<[100,192]>,
prims::convert_element_type5
186Tensor<[92]>,
prims::convert_element_type5
187Tensor<[192,92]>,
prims::convert_element_type5
188Tensor<[100,92]>,
prims::convert_element_type5
189Tensor<[4]>,
prims::convert_element_type5
190Tensor<[192,4]>,
prims::convert_element_type5
191Tensor<[100,4]>,
prims::convert_element_type5
192Tensor<[1,256,14,14]>,
aten::sub.Tensor4
193Tensor<[1,512,7,7]>,
aten::sub.Tensor4
194Tensor<[1,12,8,8]>,
aten::_softmax4
195Tensor<[1,8,768]>,
aten::embedding4
196Tensor<[1,3072,8]>,
aten::gelu4
197Tensor<[1,1,1,8]>,
prims::convert_element_type4
198Tensor<[3]>,
prims::convert_element_type5
199Tensor<[768,3]>,
prims::convert_element_type5
200Tensor<[1,3]>,
prims::convert_element_type5
201Tensor<[1,8,256,2048]>,
aten::_softmax4
202Tensor<[1,8,256,256]>,
aten::_softmax4
203Tensor<[1,8,2048,256]>,
aten::_softmax4
204Tensor<[1,2048,768]>,
aten::embedding4
205Tensor<[2048,768]>,
aten::embedding4
206Tensor<[1,1,1,2048]>,
prims::convert_element_type4
207Tensor<[1280,256]>,
prims::convert_element_type5
208Tensor<[768,256]>,
prims::convert_element_type5
209Tensor<[768,1280]>,
prims::convert_element_type5
210Tensor<[2048,1280]>,
prims::convert_element_type5
211Tensor<[1280,768]>,
prims::convert_element_type5
212Tensor<[1024,1,1]>,
aten::add.Tensor4
213Tensor<[2048,1,1]>,
aten::add.Tensor4
214Tensor<[1,256,56,56]>,
aten::sub.Tensor4
215Tensor<[1,1024,14,14]>,
aten::sub.Tensor4
216Tensor<[1,512,14,14]>,
aten::sub.Tensor4
217Tensor<[1,2048,7,7]>,
aten::sub.Tensor4
218Tensor<[1024]>,
prims::convert_element_type5
219Tensor<[1,2048]>,
prims::convert_element_type5
220Tensor<[2048,1000]>,
prims::convert_element_type5
221Tensor<[1,12,201,201]>,
aten::_softmax4
222Tensor<[1,193,768]>,
aten::embedding4
223Tensor<[1,201,3072]>,
aten::gelu4
224Tensor<[1,1536]>,
aten::gelu4
225Tensor<[1536]>,
aten::mul.Tensor4
226Tensor<[1,201,768]>,
aten::sub.Tensor4
227Tensor<[1,1,384,512]>,
prims::convert_element_type4
228Tensor<[12]>,
prims::convert_element_type4
229Tensor<[1,1,12,16]>,
prims::convert_element_type4
230Tensor<[1,1,1,201]>,
prims::convert_element_type4
231Tensor<[201,768]>,
prims::convert_element_type5
232Tensor<[201,3072]>,
prims::convert_element_type5
233Tensor<[768,1536]>,
prims::convert_element_type5
234Tensor<[3129]>,
prims::convert_element_type5
235Tensor<[1536,3129]>,
prims::convert_element_type5
236Tensor<[1,3129]>,
prims::convert_element_type5
237Tensor<[1,9216]>,
prims::convert_element_type5
238Tensor<[9216,128]>,
prims::convert_element_type5
239Tensor<[1,128]>,
prims::convert_element_type5
240Tensor<[10]>,
prims::convert_element_type5
241Tensor<[128,10]>,
prims::convert_element_type5
242Tensor<[16,19,19]>,
aten::_softmax4
243Tensor<[1,19,1024]>,
aten::embedding4
244Tensor<[19]>,
aten::floor_divide4
245Tensor<[1,19,4096]>,
aten::gelu4
246Tensor<[19,1024]>,
aten::index_select4
247Tensor<[19,19]>,
prims::convert_element_type5
248Tensor<[1,1,19,19]>,
prims::convert_element_type4
249Tensor<[1024,1024]>,
prims::convert_element_type5
250Tensor<[4096]>,
prims::convert_element_type5
251Tensor<[1024,4096]>,
prims::convert_element_type5
252Tensor<[19,4096]>,
prims::convert_element_type5
253Tensor<[4096,1024]>,
prims::convert_element_type5
254Tensor<[19,256008]>,
prims::convert_element_type5
255Tensor<[14,1,1]>,
aten::add.Tensor4
256Tensor<[24,1,1]>,
aten::add.Tensor4
257Tensor<[40,1,1]>,
aten::add.Tensor4
258Tensor<[68,1,1]>,
aten::add.Tensor4
259Tensor<[16,1,1]>,
aten::add.Tensor4
260Tensor<[28,1,1]>,
aten::add.Tensor4
261Tensor<[46,1,1]>,
aten::add.Tensor4
262Tensor<[78,1,1]>,
aten::add.Tensor4
263Tensor<[134,1,1]>,
aten::add.Tensor4
264Tensor<[20,1,1]>,
aten::add.Tensor4
265Tensor<[34,1,1]>,
aten::add.Tensor4
266Tensor<[58,1,1]>,
aten::add.Tensor4
267Tensor<[98,1,1]>,
aten::add.Tensor4
268Tensor<[168,1,1]>,
aten::add.Tensor4
269Tensor<[320,1,1]>,
aten::add.Tensor4
270Tensor<[116,1,1]>,
aten::add.Tensor4
271Tensor<[196,1,1]>,
aten::add.Tensor4
272Tensor<[334,1,1]>,
aten::add.Tensor4
273Tensor<[640,1,1]>,
aten::add.Tensor4
274Tensor<[160,1,1]>,
aten::add.Tensor4
275Tensor<[272,1,1]>,
aten::add.Tensor4
276Tensor<[462,1,1]>,
aten::add.Tensor4
277Tensor<[1,14,56,56]>,
aten::sub.Tensor4
278Tensor<[1,24,56,56]>,
aten::sub.Tensor4
279Tensor<[1,40,56,56]>,
aten::sub.Tensor4
280Tensor<[1,68,56,56]>,
aten::sub.Tensor4
281Tensor<[1,16,28,28]>,
aten::sub.Tensor4
282Tensor<[1,28,28,28]>,
aten::sub.Tensor4
283Tensor<[1,46,28,28]>,
aten::sub.Tensor4
284Tensor<[1,78,28,28]>,
aten::sub.Tensor4
285Tensor<[1,134,28,28]>,
aten::sub.Tensor4
286Tensor<[1,20,28,28]>,
aten::sub.Tensor4
287Tensor<[1,34,28,28]>,
aten::sub.Tensor4
288Tensor<[1,58,28,28]>,
aten::sub.Tensor4
289Tensor<[1,98,28,28]>,
aten::sub.Tensor4
290Tensor<[1,168,28,28]>,
aten::sub.Tensor4
291Tensor<[1,320,28,28]>,
aten::sub.Tensor4
292Tensor<[1,40,14,14]>,
aten::sub.Tensor4
293Tensor<[1,68,14,14]>,
aten::sub.Tensor4
294Tensor<[1,116,14,14]>,
aten::sub.Tensor4
295Tensor<[1,196,14,14]>,
aten::sub.Tensor4
296Tensor<[1,334,14,14]>,
aten::sub.Tensor4
297Tensor<[1,640,14,14]>,
aten::sub.Tensor4
298Tensor<[1,160,7,7]>,
aten::sub.Tensor4
299Tensor<[1,272,7,7]>,
aten::sub.Tensor4
300Tensor<[1,462,7,7]>,
aten::sub.Tensor4
301Tensor<[1,1024,7,7]>,
aten::sub.Tensor4
302Tensor<[14]>,
prims::convert_element_type5
303Tensor<[24]>,
prims::convert_element_type5
304Tensor<[68]>,
prims::convert_element_type5
305Tensor<[28]>,
prims::convert_element_type5
306Tensor<[46]>,
prims::convert_element_type5
307Tensor<[78]>,
prims::convert_element_type5
308Tensor<[134]>,
prims::convert_element_type5
309Tensor<[20]>,
prims::convert_element_type5
310Tensor<[34]>,
prims::convert_element_type5
311Tensor<[58]>,
prims::convert_element_type5
312Tensor<[98]>,
prims::convert_element_type5
313Tensor<[168]>,
prims::convert_element_type5
314Tensor<[116]>,
prims::convert_element_type5
315Tensor<[196]>,
prims::convert_element_type5
316Tensor<[334]>,
prims::convert_element_type5
317Tensor<[160]>,
prims::convert_element_type5
318Tensor<[272]>,
prims::convert_element_type5
319Tensor<[462]>,
prims::convert_element_type5
320Tensor<[1,1024]>,
prims::convert_element_type5
321Tensor<[1024,1000]>,
prims::convert_element_type5
322Tensor<[1,32,512,512]>,
aten::sub.Tensor4
323Tensor<[1,64,256,256]>,
aten::sub.Tensor4
324Tensor<[1,32,256,256]>,
aten::sub.Tensor4
325Tensor<[1,128,128,128]>,
aten::sub.Tensor4
326Tensor<[1,64,128,128]>,
aten::sub.Tensor4
327Tensor<[1,256,64,64]>,
aten::sub.Tensor4
328Tensor<[1,128,64,64]>,
aten::sub.Tensor4
329Tensor<[1,512,32,32]>,
aten::sub.Tensor4
330Tensor<[1,256,32,32]>,
aten::sub.Tensor4
331Tensor<[1,1024,16,16]>,
aten::sub.Tensor4
332Tensor<[1,512,16,16]>,
aten::sub.Tensor4
333Tensor<[1,256,16,16]>,
aten::sub.Tensor4
334Tensor<[1,128,32,32]>,
aten::sub.Tensor4
335Tensor<[1,32,1536]>,
aten::embedding4
336Tensor<[16,1,32]>,
prims::convert_element_type5
337Tensor<[4608]>,
prims::convert_element_type5
338Tensor<[32,1536]>,
prims::convert_element_type5
339Tensor<[1536,4608]>,
prims::convert_element_type5
340Tensor<[32,4608]>,
prims::convert_element_type5
341Tensor<[1,16,32,32]>,
prims::convert_element_type5
342Tensor<[1536,1536]>,
prims::convert_element_type5
343Tensor<[6144]>,
prims::convert_element_type5
344Tensor<[1536,6144]>,
prims::convert_element_type5
345Tensor<[32,6144]>,
prims::convert_element_type5
346Tensor<[6144,1536]>,
prims::convert_element_type5
347Tensor<[1,1,16,16]>,
aten::add.Tensor4
348Tensor<[1,16,768]>,
aten::embedding4
349Tensor<[1,16,3072]>,
aten::gelu4
350Tensor<[16,768]>,
prims::convert_element_type5
351Tensor<[1,12,16,64]>,
prims::convert_element_type5
352Tensor<[16,3072]>,
prims::convert_element_type5
353Tensor<[1,64,224,224]>,
aten::sub.Tensor4
354Tensor<[1,128,112,112]>,
aten::sub.Tensor4
355Tensor<[1,1,19200,300]>,
aten::_softmax4
356Tensor<[1,2,4800,300]>,
aten::_softmax4
357Tensor<[1,5,1200,300]>,
aten::_softmax4
358Tensor<[1,8,300,300]>,
aten::_softmax4
359Tensor<[1,19200,256]>,
aten::gelu4
360Tensor<[1,4800,512]>,
aten::gelu4
361Tensor<[1,1200,1280]>,
aten::gelu4
362Tensor<[1,300,2048]>,
aten::gelu4
363Tensor<[1,19200,64]>,
aten::sub.Tensor4
364Tensor<[1,300,64]>,
aten::sub.Tensor4
365Tensor<[1,4800,128]>,
aten::sub.Tensor4
366Tensor<[1,300,128]>,
aten::sub.Tensor4
367Tensor<[1,1200,320]>,
aten::sub.Tensor4
368Tensor<[1,300,320]>,
aten::sub.Tensor4
369Tensor<[1,300,512]>,
aten::sub.Tensor4
370Tensor<[30,1]>,
aten::sub.Tensor4
371Tensor<[1,64,30,40]>,
aten::sub.Tensor4
372Tensor<[1,32,30,40]>,
aten::sub.Tensor4
373Tensor<[80]>,
aten::sub.Tensor4
374Tensor<[60,1]>,
aten::sub.Tensor4
375Tensor<[1,64,60,80]>,
aten::sub.Tensor4
376Tensor<[1,32,60,80]>,
aten::sub.Tensor4
377Tensor<[120,1]>,
aten::sub.Tensor4
378Tensor<[1,64,120,160]>,
aten::sub.Tensor4
379Tensor<[1,32,120,160]>,
aten::sub.Tensor4
380Tensor<[240,1]>,
aten::sub.Tensor4
381Tensor<[480,1]>,
aten::sub.Tensor4
382Tensor<[19200,64]>,
prims::convert_element_type5
383Tensor<[64,64]>,
prims::convert_element_type5
384Tensor<[300,64]>,
prims::convert_element_type5
385Tensor<[64,256]>,
prims::convert_element_type5
386Tensor<[19200,256]>,
prims::convert_element_type5
387Tensor<[4800,128]>,
prims::convert_element_type5
388Tensor<[128,128]>,
prims::convert_element_type5
389Tensor<[300,128]>,
prims::convert_element_type5
390Tensor<[128,512]>,
prims::convert_element_type5
391Tensor<[4800,512]>,
prims::convert_element_type5
392Tensor<[1200,320]>,
prims::convert_element_type5
393Tensor<[300,320]>,
prims::convert_element_type5
394Tensor<[1200,1280]>,
prims::convert_element_type5
395Tensor<[300,512]>,
prims::convert_element_type5
396Tensor<[512,512]>,
prims::convert_element_type5
397Tensor<[512,2048]>,
prims::convert_element_type5
398Tensor<[300,2048]>,
prims::convert_element_type5
399Tensor<[1,64,15,20]>,
prims::convert_element_type5
400Tensor<[30]>,
prims::convert_element_type4
401Tensor<[60]>,
prims::convert_element_type4
402Tensor<[120]>,
prims::convert_element_type4
403Tensor<[240]>,
prims::convert_element_type4
404Tensor<[1,64,240,320]>,
prims::convert_element_type5
405Tensor<[480]>,
prims::convert_element_type4
406Tensor<[1,64,480,640]>,
prims::convert_element_type5
407Tensor<[1,197,3072]>,
aten::gelu4
408Tensor<[1,197,768]>,
aten::sub.Tensor4
409Tensor<[1,3,224,224]>,
prims::convert_element_type5
410Tensor<[197,768]>,
prims::convert_element_type5
411Tensor<[1,12,197,64]>,
prims::convert_element_type5
412Tensor<[197,3072]>,
prims::convert_element_type5
413Tensor<[768,1000]>,
prims::convert_element_type5
414Tensor<[1,1,16384,256]>,
aten::_softmax4
415Tensor<[1,2,4096,256]>,
aten::_softmax4
416Tensor<[1,5,1024,256]>,
aten::_softmax4
417Tensor<[1,16384,128]>,
aten::gelu4
418Tensor<[1,4096,256]>,
aten::gelu4
419Tensor<[1,256,1024]>,
aten::gelu4
420Tensor<[1,16384,32]>,
aten::sub.Tensor4
421Tensor<[1,256,32]>,
aten::sub.Tensor4
422Tensor<[1,4096,64]>,
aten::sub.Tensor4
423Tensor<[1,256,64]>,
aten::sub.Tensor4
424Tensor<[1,1024,160]>,
aten::sub.Tensor4
425Tensor<[1,256,160]>,
aten::sub.Tensor4
426Tensor<[128,1]>,
aten::sub.Tensor4
427Tensor<[1,256,128,128]>,
aten::sub.Tensor4
428Tensor<[16384,32]>,
prims::convert_element_type5
429Tensor<[256,32]>,
prims::convert_element_type5
430Tensor<[32,128]>,
prims::convert_element_type5
431Tensor<[16384,128]>,
prims::convert_element_type5
432Tensor<[4096,64]>,
prims::convert_element_type5
433Tensor<[256,64]>,
prims::convert_element_type5
434Tensor<[4096,256]>,
prims::convert_element_type5
435Tensor<[1024,160]>,
prims::convert_element_type5
436Tensor<[160,160]>,
prims::convert_element_type5
437Tensor<[256,160]>,
prims::convert_element_type5
438Tensor<[160,640]>,
prims::convert_element_type5
439Tensor<[256,1024]>,
prims::convert_element_type5
440Tensor<[1,1,1,7]>,
aten::add.Tensor4
441Tensor<[4544]>,
aten::add.Tensor4
442Tensor<[1,7,4544]>,
aten::embedding4
443Tensor<[1,7,18176]>,
aten::gelu4
444Tensor<[1,1,7]>,
prims::convert_element_type4
445Tensor<[1,7,64]>,
prims::convert_element_type5
446Tensor<[1,71,7,64]>,
prims::convert_element_type5
447Tensor<[1,1,7,64]>,
prims::convert_element_type5
448Tensor<[96,1,1]>,
aten::add.Tensor4
449Tensor<[144,1,1]>,
aten::add.Tensor4
450Tensor<[192,1,1]>,
aten::add.Tensor4
451Tensor<[384,1,1]>,
aten::add.Tensor4
452Tensor<[576,1,1]>,
aten::add.Tensor4
453Tensor<[960,1,1]>,
aten::add.Tensor4
454Tensor<[1280,1,1]>,
aten::add.Tensor4
455Tensor<[1,16,112,112]>,
aten::sub.Tensor4
456Tensor<[1,96,112,112]>,
aten::sub.Tensor4
457Tensor<[1,96,56,56]>,
aten::sub.Tensor4
458Tensor<[1,144,56,56]>,
aten::sub.Tensor4
459Tensor<[1,144,28,28]>,
aten::sub.Tensor4
460Tensor<[1,32,28,28]>,
aten::sub.Tensor4
461Tensor<[1,192,28,28]>,
aten::sub.Tensor4
462Tensor<[1,192,14,14]>,
aten::sub.Tensor4
463Tensor<[1,64,14,14]>,
aten::sub.Tensor4
464Tensor<[1,384,14,14]>,
aten::sub.Tensor4
465Tensor<[1,96,14,14]>,
aten::sub.Tensor4
466Tensor<[1,576,14,14]>,
aten::sub.Tensor4
467Tensor<[1,576,7,7]>,
aten::sub.Tensor4
468Tensor<[1,960,7,7]>,
aten::sub.Tensor4
469Tensor<[1,320,7,7]>,
aten::sub.Tensor4
470Tensor<[1,1280,7,7]>,
aten::sub.Tensor4
471Tensor<[96]>,
prims::convert_element_type5
472Tensor<[144]>,
prims::convert_element_type5
473Tensor<[384]>,
prims::convert_element_type5
474Tensor<[576]>,
prims::convert_element_type5
475Tensor<[960]>,
prims::convert_element_type5
476Tensor<[1280,1000]>,
prims::convert_element_type5
477Tensor<[1,1,12,12]>,
aten::add.Tensor4
478Tensor<[1,12,128]>,
aten::embedding4
479Tensor<[1,12,768]>,
aten::sub.Tensor4
480Tensor<[12,128]>,
prims::convert_element_type5
481Tensor<[128,768]>,
prims::convert_element_type5
482Tensor<[12,768]>,
prims::convert_element_type5
483Tensor<[1,12,12,64]>,
prims::convert_element_type5
484Tensor<[12,3072]>,
prims::convert_element_type5
485Tensor<[12,2]>,
prims::convert_element_type5
486Tensor<[1,1,9,9]>,
aten::add.Tensor4
487Tensor<[1,9,128]>,
aten::embedding4
488Tensor<[1,9,768]>,
aten::sub.Tensor4
489Tensor<[9,128]>,
prims::convert_element_type5
490Tensor<[9,768]>,
prims::convert_element_type5
491Tensor<[1,12,9,64]>,
prims::convert_element_type5
492Tensor<[9,3072]>,
prims::convert_element_type5
493Tensor<[768,128]>,
prims::convert_element_type5
494Tensor<[30000]>,
prims::convert_element_type5
495Tensor<[128,30000]>,
prims::convert_element_type5
496Tensor<[9,30000]>,
prims::convert_element_type5
497Tensor<[1,9,2048]>,
aten::sub.Tensor4
498Tensor<[128,2048]>,
prims::convert_element_type5
499Tensor<[9,2048]>,
prims::convert_element_type5
500Tensor<[2048,2048]>,
prims::convert_element_type5
501Tensor<[1,16,9,128]>,
prims::convert_element_type5
502Tensor<[8192]>,
prims::convert_element_type5
503Tensor<[2048,8192]>,
prims::convert_element_type5
504Tensor<[9,8192]>,
prims::convert_element_type5
505Tensor<[8192,2048]>,
prims::convert_element_type5
506Tensor<[2048,128]>,
prims::convert_element_type5
507Tensor<[1,9,1024]>,
aten::sub.Tensor4
508Tensor<[128,1024]>,
prims::convert_element_type5
509Tensor<[9,1024]>,
prims::convert_element_type5
510Tensor<[1,16,9,64]>,
prims::convert_element_type5
511Tensor<[9,4096]>,
prims::convert_element_type5
512Tensor<[1024,128]>,
prims::convert_element_type5
513Tensor<[1,9,4096]>,
aten::sub.Tensor4
514Tensor<[128,4096]>,
prims::convert_element_type5
515Tensor<[4096,4096]>,
prims::convert_element_type5
516Tensor<[1,64,9,64]>,
prims::convert_element_type5
517Tensor<[16384]>,
prims::convert_element_type5
518Tensor<[4096,16384]>,
prims::convert_element_type5
519Tensor<[9,16384]>,
prims::convert_element_type5
520Tensor<[16384,4096]>,
prims::convert_element_type5
521Tensor<[4096,128]>,
prims::convert_element_type5
522Tensor<[1,2]>,
prims::convert_element_type5
523Tensor<[1,1,14,14]>,
aten::add.Tensor4
524Tensor<[1,14,128]>,
aten::embedding4
525Tensor<[1,14,768]>,
aten::sub.Tensor4
526Tensor<[14,128]>,
prims::convert_element_type5
527Tensor<[14,768]>,
prims::convert_element_type5
528Tensor<[1,12,14,64]>,
prims::convert_element_type5
529Tensor<[14,3072]>,
prims::convert_element_type5
530Tensor<[14,2]>,
prims::convert_element_type5
531Tensor<[2,1,7,7]>,
aten::add.Tensor4
532Tensor<[1,50,768]>,
aten::embedding4
533Tensor<[2,7,512]>,
aten::embedding4
534Tensor<[1,7,512]>,
aten::embedding4
535Tensor<[50,768]>,
prims::convert_element_type5
536Tensor<[1,12,50,64]>,
prims::convert_element_type5
537Tensor<[50,3072]>,
prims::convert_element_type5
538Tensor<[14,512]>,
prims::convert_element_type5
539Tensor<[2,8,7,64]>,
prims::convert_element_type5
540Tensor<[14,2048]>,
prims::convert_element_type5
541Tensor<[2048,512]>,
prims::convert_element_type5
542Tensor<[2,7]>,
prims::convert_element_type4
543Tensor<[1,16,197,197]>,
aten::_softmax4
544Tensor<[197]>,
aten::floor_divide4
545Tensor<[1,197,4096]>,
aten::gelu4
546Tensor<[1,197,1024]>,
aten::sub.Tensor4
547Tensor<[27]>,
aten::sub.Tensor4
548Tensor<[27,1]>,
aten::sub.Tensor4
549Tensor<[197,1024]>,
prims::convert_element_type5
550Tensor<[1,16,27,27]>,
prims::convert_element_type5
551Tensor<[197,4096]>,
prims::convert_element_type5
552Tensor<[1,12,197,197]>,
aten::_softmax4
553Tensor<[1,12,27,27]>,
prims::convert_element_type5
554Tensor<[1,784]>,
prims::convert_element_type5
555Tensor<[784,128]>,
prims::convert_element_type5
556Tensor<[128,64]>,
prims::convert_element_type5
557Tensor<[1,64]>,
prims::convert_element_type5
558Tensor<[64,12]>,
prims::convert_element_type5
559Tensor<[1,12]>,
prims::convert_element_type5
560Tensor<[12,3]>,
prims::convert_element_type5
561Tensor<[3,12]>,
prims::convert_element_type5
562Tensor<[12,64]>,
prims::convert_element_type5
563Tensor<[64,128]>,
prims::convert_element_type5
564Tensor<[784]>,
prims::convert_element_type5
565Tensor<[128,784]>,
prims::convert_element_type5

stablehlo.convolution::ttnn.conv2d

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,3,224,224]>,
Tensor<[32,3,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
1Tensor<[1,32,112,112]>,
Tensor<[32,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 32
ttnn.conv2daten::convolution5
2Tensor<[1,32,112,112]>,
Tensor<[64,32,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
3Tensor<[1,64,112,112]>,
Tensor<[64,1,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 64
ttnn.conv2daten::convolution5
4Tensor<[1,64,56,56]>,
Tensor<[128,64,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
5Tensor<[1,128,56,56]>,
Tensor<[128,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 128
ttnn.conv2daten::convolution5
6Tensor<[1,128,56,56]>,
Tensor<[128,128,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
7Tensor<[1,128,56,56]>,
Tensor<[128,1,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 128
ttnn.conv2daten::convolution5
8Tensor<[1,128,28,28]>,
Tensor<[256,128,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
9Tensor<[1,256,28,28]>,
Tensor<[256,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 256
ttnn.conv2daten::convolution5
10Tensor<[1,256,28,28]>,
Tensor<[256,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
11Tensor<[1,256,28,28]>,
Tensor<[512,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
12Tensor<[1,512,28,28]>,
Tensor<[512,1,3,3]>,
stride: [1, 1]
pad: [[2, 2], [2, 2]]
rhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 512
ttnn.conv2daten::convolution5
13Tensor<[1,512,28,28]>,
Tensor<[512,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
14Tensor<[1,512,28,28]>,
Tensor<[512,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 512
ttnn.conv2daten::convolution5
15Tensor<[1,512,28,28]>,
Tensor<[128,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
16Tensor<[1,128,28,28]>,
Tensor<[128,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 128
ttnn.conv2daten::convolution5
17Tensor<[1,128,28,28]>,
Tensor<[128,128,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
18Tensor<[1,128,28,28]>,
Tensor<[128,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
19Tensor<[1,128,28,28]>,
Tensor<[512,128,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
20Tensor<[1,512,28,28]>,
Tensor<[19,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
21Tensor<[1,512,28,28]>,
Tensor<[38,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
22Tensor<[1,185,28,28]>,
Tensor<[128,185,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
23Tensor<[1,128,28,28]>,
Tensor<[128,128,3,3]>,
stride: [1, 1]
pad: [[2, 2], [2, 2]]
rhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
24Tensor<[1,128,28,28]>,
Tensor<[19,128,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
25Tensor<[1,128,28,28]>,
Tensor<[38,128,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
26Tensor<[1,256,512]>,
Tensor<[1024,256,1]>,
stride: [1]
pad: [[0, 0]]
rhs_dilate: [1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
27Tensor<[1,1024,512]>,
Tensor<[256,1024,1]>,
stride: [1]
pad: [[0, 0]]
rhs_dilate: [1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
28Tensor<[1,3,720,1280]>,
Tensor<[64,3,7,7]>,
stride: [2, 2]
pad: [[3, 3], [3, 3]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
29Tensor<[1,64,180,320]>,
Tensor<[64,64,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
30Tensor<[1,64,180,320]>,
Tensor<[64,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
31Tensor<[1,64,180,320]>,
Tensor<[256,64,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
32Tensor<[1,256,180,320]>,
Tensor<[64,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
33Tensor<[1,256,180,320]>,
Tensor<[128,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
34Tensor<[1,128,180,320]>,
Tensor<[128,128,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
35Tensor<[1,128,90,160]>,
Tensor<[512,128,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
36Tensor<[1,256,180,320]>,
Tensor<[512,256,1,1]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
37Tensor<[1,512,90,160]>,
Tensor<[128,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
38Tensor<[1,128,90,160]>,
Tensor<[128,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
39Tensor<[1,512,90,160]>,
Tensor<[256,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
40Tensor<[1,256,90,160]>,
Tensor<[256,256,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
41Tensor<[1,256,45,80]>,
Tensor<[1024,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
42Tensor<[1,512,90,160]>,
Tensor<[1024,512,1,1]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
43Tensor<[1,1024,45,80]>,
Tensor<[256,1024,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
44Tensor<[1,256,45,80]>,
Tensor<[256,256,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
45Tensor<[1,1024,45,80]>,
Tensor<[512,1024,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
46Tensor<[1,512,45,80]>,
Tensor<[512,512,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
47Tensor<[1,512,23,40]>,
Tensor<[2048,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
48Tensor<[1,1024,45,80]>,
Tensor<[2048,1024,1,1]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
49Tensor<[1,2048,23,40]>,
Tensor<[512,2048,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
50Tensor<[1,512,23,40]>,
Tensor<[512,512,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
51Tensor<[1,2048,23,40]>,
Tensor<[256,2048,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
52Tensor<[1,4,64,64]>,
Tensor<[320,4,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
53Tensor<[1,320,64,64]>,
Tensor<[320,320,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
54Tensor<[1,320,64,64]>,
Tensor<[320,320,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
55Tensor<[1,320,64,64]>,
Tensor<[320,320,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
56Tensor<[1,320,32,32]>,
Tensor<[640,320,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
57Tensor<[1,640,32,32]>,
Tensor<[640,640,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
58Tensor<[1,320,32,32]>,
Tensor<[640,320,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
59Tensor<[1,640,32,32]>,
Tensor<[640,640,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
60Tensor<[1,640,32,32]>,
Tensor<[640,640,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
61Tensor<[1,640,16,16]>,
Tensor<[1280,640,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
62Tensor<[1,1280,16,16]>,
Tensor<[1280,1280,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
63Tensor<[1,640,16,16]>,
Tensor<[1280,640,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
64Tensor<[1,1280,16,16]>,
Tensor<[1280,1280,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
65Tensor<[1,1280,16,16]>,
Tensor<[1280,1280,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
66Tensor<[1,1280,8,8]>,
Tensor<[1280,1280,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
67Tensor<[1,1280,8,8]>,
Tensor<[1280,1280,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
68Tensor<[1,2560,8,8]>,
Tensor<[1280,2560,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
69Tensor<[1,2560,8,8]>,
Tensor<[1280,2560,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
70Tensor<[1,2560,16,16]>,
Tensor<[1280,2560,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
71Tensor<[1,2560,16,16]>,
Tensor<[1280,2560,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
72Tensor<[1,1920,16,16]>,
Tensor<[1280,1920,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
73Tensor<[1,1920,16,16]>,
Tensor<[1280,1920,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
74Tensor<[1,1280,32,32]>,
Tensor<[1280,1280,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
75Tensor<[1,1920,32,32]>,
Tensor<[640,1920,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
76Tensor<[1,1920,32,32]>,
Tensor<[640,1920,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
77Tensor<[1,1280,32,32]>,
Tensor<[640,1280,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
78Tensor<[1,1280,32,32]>,
Tensor<[640,1280,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
79Tensor<[1,960,32,32]>,
Tensor<[640,960,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
80Tensor<[1,960,32,32]>,
Tensor<[640,960,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
81Tensor<[1,640,64,64]>,
Tensor<[640,640,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
82Tensor<[1,960,64,64]>,
Tensor<[320,960,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
83Tensor<[1,960,64,64]>,
Tensor<[320,960,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
84Tensor<[1,640,64,64]>,
Tensor<[320,640,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
85Tensor<[1,640,64,64]>,
Tensor<[320,640,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
86Tensor<[1,320,64,64]>,
Tensor<[4,320,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
87Tensor<[1,3,512,672]>,
Tensor<[192,3,16,16]>,
stride: [16, 16]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
88Tensor<[1,3,224,224]>,
Tensor<[64,3,7,7]>,
stride: [2, 2]
pad: [[3, 3], [3, 3]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
89Tensor<[1,64,56,56]>,
Tensor<[64,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
90Tensor<[1,64,56,56]>,
Tensor<[128,64,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
91Tensor<[1,64,56,56]>,
Tensor<[128,64,1,1]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
92Tensor<[1,128,28,28]>,
Tensor<[256,128,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
93Tensor<[1,256,14,14]>,
Tensor<[256,256,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
94Tensor<[1,128,28,28]>,
Tensor<[256,128,1,1]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
95Tensor<[1,256,14,14]>,
Tensor<[512,256,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
96Tensor<[1,512,7,7]>,
Tensor<[512,512,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
97Tensor<[1,256,14,14]>,
Tensor<[512,256,1,1]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
98Tensor<[1,768,8]>,
Tensor<[768,192,1]>,
stride: [1]
pad: [[0, 0]]
rhs_dilate: [1]
batch_group_count: 1
feature_group_count: 4
ttnn.conv2daten::convolution4
99Tensor<[1,768,8]>,
Tensor<[768,768,1]>,
stride: [1]
pad: [[0, 0]]
rhs_dilate: [1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
100Tensor<[1,768,8]>,
Tensor<[3072,192,1]>,
stride: [1]
pad: [[0, 0]]
rhs_dilate: [1]
batch_group_count: 1
feature_group_count: 4
ttnn.conv2daten::convolution4
101Tensor<[1,3072,8]>,
Tensor<[768,768,1]>,
stride: [1]
pad: [[0, 0]]
rhs_dilate: [1]
batch_group_count: 1
feature_group_count: 4
ttnn.conv2daten::convolution4
102Tensor<[1,64,56,56]>,
Tensor<[64,64,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
103Tensor<[1,64,56,56]>,
Tensor<[256,64,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
104Tensor<[1,256,56,56]>,
Tensor<[64,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
105Tensor<[1,256,56,56]>,
Tensor<[128,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
106Tensor<[1,128,56,56]>,
Tensor<[128,128,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
107Tensor<[1,256,56,56]>,
Tensor<[512,256,1,1]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
108Tensor<[1,512,28,28]>,
Tensor<[256,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
109Tensor<[1,256,28,28]>,
Tensor<[256,256,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
110Tensor<[1,256,14,14]>,
Tensor<[1024,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
111Tensor<[1,512,28,28]>,
Tensor<[1024,512,1,1]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
112Tensor<[1,1024,14,14]>,
Tensor<[256,1024,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
113Tensor<[1,1024,14,14]>,
Tensor<[512,1024,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
114Tensor<[1,512,14,14]>,
Tensor<[512,512,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
115Tensor<[1,512,7,7]>,
Tensor<[2048,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
116Tensor<[1,1024,14,14]>,
Tensor<[2048,1024,1,1]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
117Tensor<[1,2048,7,7]>,
Tensor<[512,2048,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
118Tensor<[1,3,384,512]>,
Tensor<[768,3,32,32]>,
stride: [32, 32]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
119Tensor<[1,1,28,28]>,
Tensor<[32,1,3,3]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
120Tensor<[1,32,26,26]>,
Tensor<[64,32,3,3]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
121Tensor<[1,32,112,112]>,
Tensor<[64,32,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
122Tensor<[1,64,56,56]>,
Tensor<[14,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
123Tensor<[1,78,56,56]>,
Tensor<[24,78,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
124Tensor<[1,24,56,56]>,
Tensor<[14,24,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
125Tensor<[1,102,56,56]>,
Tensor<[40,102,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
126Tensor<[1,40,56,56]>,
Tensor<[14,40,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
127Tensor<[1,54,56,56]>,
Tensor<[24,54,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
128Tensor<[1,142,56,56]>,
Tensor<[68,142,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
129Tensor<[1,124,56,56]>,
Tensor<[128,124,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
130Tensor<[1,128,28,28]>,
Tensor<[16,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
131Tensor<[1,144,28,28]>,
Tensor<[28,144,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
132Tensor<[1,28,28,28]>,
Tensor<[16,28,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
133Tensor<[1,172,28,28]>,
Tensor<[46,172,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
134Tensor<[1,46,28,28]>,
Tensor<[16,46,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
135Tensor<[1,62,28,28]>,
Tensor<[28,62,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
136Tensor<[1,218,28,28]>,
Tensor<[78,218,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
137Tensor<[1,78,28,28]>,
Tensor<[16,78,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
138Tensor<[1,94,28,28]>,
Tensor<[28,94,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
139Tensor<[1,122,28,28]>,
Tensor<[46,122,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
140Tensor<[1,296,28,28]>,
Tensor<[134,296,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
141Tensor<[1,262,28,28]>,
Tensor<[256,262,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
142Tensor<[1,256,28,28]>,
Tensor<[20,256,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
143Tensor<[1,276,28,28]>,
Tensor<[34,276,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
144Tensor<[1,34,28,28]>,
Tensor<[20,34,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
145Tensor<[1,310,28,28]>,
Tensor<[58,310,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
146Tensor<[1,58,28,28]>,
Tensor<[20,58,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
147Tensor<[1,78,28,28]>,
Tensor<[34,78,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
148Tensor<[1,368,28,28]>,
Tensor<[98,368,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
149Tensor<[1,98,28,28]>,
Tensor<[20,98,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
150Tensor<[1,118,28,28]>,
Tensor<[34,118,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
151Tensor<[1,152,28,28]>,
Tensor<[58,152,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
152Tensor<[1,466,28,28]>,
Tensor<[168,466,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
153Tensor<[1,328,28,28]>,
Tensor<[320,328,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
154Tensor<[1,320,14,14]>,
Tensor<[40,320,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
155Tensor<[1,360,14,14]>,
Tensor<[68,360,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
156Tensor<[1,68,14,14]>,
Tensor<[40,68,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
157Tensor<[1,428,14,14]>,
Tensor<[116,428,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
158Tensor<[1,116,14,14]>,
Tensor<[40,116,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
159Tensor<[1,156,14,14]>,
Tensor<[68,156,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
160Tensor<[1,544,14,14]>,
Tensor<[196,544,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
161Tensor<[1,196,14,14]>,
Tensor<[40,196,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
162Tensor<[1,236,14,14]>,
Tensor<[68,236,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
163Tensor<[1,304,14,14]>,
Tensor<[116,304,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
164Tensor<[1,740,14,14]>,
Tensor<[334,740,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
165Tensor<[1,654,14,14]>,
Tensor<[640,654,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
166Tensor<[1,640,7,7]>,
Tensor<[160,640,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
167Tensor<[1,800,7,7]>,
Tensor<[272,800,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
168Tensor<[1,272,7,7]>,
Tensor<[160,272,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
169Tensor<[1,1072,7,7]>,
Tensor<[462,1072,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
170Tensor<[1,782,7,7]>,
Tensor<[1024,782,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
171Tensor<[1,3,512,512]>,
Tensor<[32,3,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
172Tensor<[1,32,512,512]>,
Tensor<[64,32,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
173Tensor<[1,64,256,256]>,
Tensor<[32,64,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
174Tensor<[1,32,256,256]>,
Tensor<[64,32,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
175Tensor<[1,64,256,256]>,
Tensor<[128,64,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
176Tensor<[1,128,128,128]>,
Tensor<[64,128,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
177Tensor<[1,64,128,128]>,
Tensor<[128,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
178Tensor<[1,128,128,128]>,
Tensor<[256,128,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
179Tensor<[1,256,64,64]>,
Tensor<[128,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
180Tensor<[1,128,64,64]>,
Tensor<[256,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
181Tensor<[1,256,64,64]>,
Tensor<[512,256,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
182Tensor<[1,512,32,32]>,
Tensor<[256,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
183Tensor<[1,256,32,32]>,
Tensor<[512,256,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
184Tensor<[1,512,32,32]>,
Tensor<[1024,512,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
185Tensor<[1,1024,16,16]>,
Tensor<[512,1024,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
186Tensor<[1,512,16,16]>,
Tensor<[1024,512,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
187Tensor<[1,1024,16,16]>,
Tensor<[255,1024,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
188Tensor<[1,512,16,16]>,
Tensor<[256,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
189Tensor<[1,768,32,32]>,
Tensor<[256,768,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
190Tensor<[1,512,32,32]>,
Tensor<[255,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
191Tensor<[1,256,32,32]>,
Tensor<[128,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
192Tensor<[1,384,64,64]>,
Tensor<[128,384,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
193Tensor<[1,256,64,64]>,
Tensor<[255,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
194Tensor<[1,3,256,256]>,
Tensor<[32,3,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
195Tensor<[1,32,256,256]>,
Tensor<[32,32,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
196Tensor<[1,32,128,128]>,
Tensor<[64,32,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
197Tensor<[1,64,128,128]>,
Tensor<[64,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
198Tensor<[1,64,64,64]>,
Tensor<[128,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
199Tensor<[1,128,64,64]>,
Tensor<[128,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
200Tensor<[1,128,32,32]>,
Tensor<[256,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
201Tensor<[1,256,32,32]>,
Tensor<[256,256,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
202Tensor<[1,256,16,16]>,
Tensor<[512,256,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
203Tensor<[1,512,16,16]>,
Tensor<[512,512,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
204Tensor<[1,512,16,16]>,
Tensor<[2,2,256,512]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
lhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
205Tensor<[1,512,32,32]>,
Tensor<[256,512,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
206Tensor<[1,256,32,32]>,
Tensor<[2,2,128,256]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
lhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
207Tensor<[1,256,64,64]>,
Tensor<[128,256,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
208Tensor<[1,128,64,64]>,
Tensor<[2,2,64,128]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
lhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
209Tensor<[1,128,128,128]>,
Tensor<[64,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
210Tensor<[1,64,128,128]>,
Tensor<[2,2,32,64]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
lhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
211Tensor<[1,64,256,256]>,
Tensor<[32,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
212Tensor<[1,32,256,256]>,
Tensor<[1,32,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
213Tensor<[1,1,28,28]>,
Tensor<[16,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
214Tensor<[1,16,14,14]>,
Tensor<[4,16,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
215Tensor<[1,4,7,7]>,
Tensor<[2,2,16,4]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
lhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
216Tensor<[1,16,14,14]>,
Tensor<[2,2,1,16]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
lhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
217Tensor<[1,3,224,224]>,
Tensor<[64,3,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
218Tensor<[1,64,224,224]>,
Tensor<[64,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
219Tensor<[1,64,112,112]>,
Tensor<[128,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
220Tensor<[1,128,112,112]>,
Tensor<[128,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
221Tensor<[1,128,56,56]>,
Tensor<[256,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
222Tensor<[1,256,56,56]>,
Tensor<[256,256,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
223Tensor<[1,256,28,28]>,
Tensor<[512,256,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
224Tensor<[1,512,28,28]>,
Tensor<[512,512,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
225Tensor<[1,512,14,14]>,
Tensor<[1024,512,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
226Tensor<[1,1024,14,14]>,
Tensor<[1024,1024,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
227Tensor<[1,1024,14,14]>,
Tensor<[2,2,512,1024]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
lhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
228Tensor<[1,1024,28,28]>,
Tensor<[512,1024,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
229Tensor<[1,512,28,28]>,
Tensor<[2,2,256,512]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
lhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
230Tensor<[1,512,56,56]>,
Tensor<[256,512,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
231Tensor<[1,256,56,56]>,
Tensor<[2,2,128,256]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
lhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
232Tensor<[1,256,112,112]>,
Tensor<[128,256,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
233Tensor<[1,128,112,112]>,
Tensor<[2,2,64,128]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
lhs_dilate: [2, 2]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
234Tensor<[1,128,224,224]>,
Tensor<[64,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
235Tensor<[1,64,224,224]>,
Tensor<[1,64,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
236Tensor<[1,3,480,640]>,
Tensor<[64,3,7,7]>,
stride: [4, 4]
pad: [[3, 3], [3, 3]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
237Tensor<[1,64,120,160]>,
Tensor<[64,64,8,8]>,
stride: [8, 8]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
238Tensor<[1,256,120,160]>,
Tensor<[256,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 256
ttnn.conv2daten::convolution4
239Tensor<[1,64,120,160]>,
Tensor<[128,64,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
240Tensor<[1,128,60,80]>,
Tensor<[128,128,4,4]>,
stride: [4, 4]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
241Tensor<[1,512,60,80]>,
Tensor<[512,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 512
ttnn.conv2daten::convolution4
242Tensor<[1,128,60,80]>,
Tensor<[320,128,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
243Tensor<[1,320,30,40]>,
Tensor<[320,320,2,2]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
244Tensor<[1,1280,30,40]>,
Tensor<[1280,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1280
ttnn.conv2daten::convolution4
245Tensor<[1,320,30,40]>,
Tensor<[512,320,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
246Tensor<[1,2048,15,20]>,
Tensor<[2048,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 2048
ttnn.conv2daten::convolution4
247Tensor<[1,512,15,20]>,
Tensor<[64,512,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
248Tensor<[1,320,30,40]>,
Tensor<[64,320,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
249Tensor<[1,128,30,40]>,
Tensor<[64,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
250Tensor<[1,64,30,40]>,
Tensor<[32,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
251Tensor<[1,32,30,40]>,
Tensor<[2,32,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
252Tensor<[1,128,60,80]>,
Tensor<[64,128,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
253Tensor<[1,128,60,80]>,
Tensor<[64,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
254Tensor<[1,64,60,80]>,
Tensor<[32,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
255Tensor<[1,32,60,80]>,
Tensor<[2,32,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
256Tensor<[1,128,120,160]>,
Tensor<[64,128,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
257Tensor<[1,64,120,160]>,
Tensor<[32,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
258Tensor<[1,32,120,160]>,
Tensor<[2,32,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
259Tensor<[1,64,480,640]>,
Tensor<[64,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
260Tensor<[1,64,480,640]>,
Tensor<[1,64,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
261Tensor<[1,3,224,224]>,
Tensor<[768,3,16,16]>,
stride: [16, 16]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
262Tensor<[1,3,512,512]>,
Tensor<[32,3,7,7]>,
stride: [4, 4]
pad: [[3, 3], [3, 3]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
263Tensor<[1,32,128,128]>,
Tensor<[32,32,8,8]>,
stride: [8, 8]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
264Tensor<[1,128,128,128]>,
Tensor<[128,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 128
ttnn.conv2daten::convolution4
265Tensor<[1,32,128,128]>,
Tensor<[64,32,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
266Tensor<[1,64,64,64]>,
Tensor<[64,64,4,4]>,
stride: [4, 4]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
267Tensor<[1,256,64,64]>,
Tensor<[256,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 256
ttnn.conv2daten::convolution4
268Tensor<[1,64,64,64]>,
Tensor<[160,64,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
269Tensor<[1,160,32,32]>,
Tensor<[160,160,2,2]>,
stride: [2, 2]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
270Tensor<[1,640,32,32]>,
Tensor<[640,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 640
ttnn.conv2daten::convolution4
271Tensor<[1,160,32,32]>,
Tensor<[256,160,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
272Tensor<[1,1024,16,16]>,
Tensor<[1024,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1024
ttnn.conv2daten::convolution4
273Tensor<[1,1024,128,128]>,
Tensor<[256,1024,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
274Tensor<[1,256,128,128]>,
Tensor<[150,256,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4
275Tensor<[1,32,112,112]>,
Tensor<[16,32,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
276Tensor<[1,16,112,112]>,
Tensor<[96,16,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
277Tensor<[1,96,112,112]>,
Tensor<[96,1,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 96
ttnn.conv2daten::convolution5
278Tensor<[1,96,56,56]>,
Tensor<[24,96,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
279Tensor<[1,24,56,56]>,
Tensor<[144,24,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
280Tensor<[1,144,56,56]>,
Tensor<[144,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 144
ttnn.conv2daten::convolution5
281Tensor<[1,144,56,56]>,
Tensor<[24,144,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
282Tensor<[1,144,56,56]>,
Tensor<[144,1,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 144
ttnn.conv2daten::convolution5
283Tensor<[1,144,28,28]>,
Tensor<[32,144,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
284Tensor<[1,32,28,28]>,
Tensor<[192,32,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
285Tensor<[1,192,28,28]>,
Tensor<[192,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 192
ttnn.conv2daten::convolution5
286Tensor<[1,192,28,28]>,
Tensor<[32,192,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
287Tensor<[1,192,28,28]>,
Tensor<[192,1,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 192
ttnn.conv2daten::convolution5
288Tensor<[1,192,14,14]>,
Tensor<[64,192,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
289Tensor<[1,64,14,14]>,
Tensor<[384,64,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
290Tensor<[1,384,14,14]>,
Tensor<[384,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 384
ttnn.conv2daten::convolution5
291Tensor<[1,384,14,14]>,
Tensor<[64,384,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
292Tensor<[1,384,14,14]>,
Tensor<[96,384,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
293Tensor<[1,96,14,14]>,
Tensor<[576,96,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
294Tensor<[1,576,14,14]>,
Tensor<[576,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 576
ttnn.conv2daten::convolution5
295Tensor<[1,576,14,14]>,
Tensor<[96,576,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
296Tensor<[1,576,14,14]>,
Tensor<[576,1,3,3]>,
stride: [2, 2]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 576
ttnn.conv2daten::convolution5
297Tensor<[1,576,7,7]>,
Tensor<[160,576,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
298Tensor<[1,160,7,7]>,
Tensor<[960,160,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
299Tensor<[1,960,7,7]>,
Tensor<[960,1,3,3]>,
stride: [1, 1]
pad: [[1, 1], [1, 1]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 960
ttnn.conv2daten::convolution5
300Tensor<[1,960,7,7]>,
Tensor<[160,960,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
301Tensor<[1,960,7,7]>,
Tensor<[320,960,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
302Tensor<[1,320,7,7]>,
Tensor<[1280,320,1,1]>,
stride: [1, 1]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
303Tensor<[1,3,224,224]>,
Tensor<[768,3,32,32]>,
stride: [32, 32]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution5
304Tensor<[1,3,224,224]>,
Tensor<[1024,3,16,16]>,
stride: [16, 16]
pad: [[0, 0], [0, 0]]
rhs_dilate: [1, 1]
batch_group_count: 1
feature_group_count: 1
ttnn.conv2daten::convolution4

stablehlo.cosine::ttnn.cos

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,128]>,
ttnn.cosaten::cos4
1Tensor<[1,23,40,64]>,
ttnn.cosaten::cos4
2Tensor<[1,160]>,
ttnn.cosaten::cos4
3Tensor<[1,7,64]>,
ttnn.cosaten::cos4

stablehlo.divide::ttnn.div

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,32]>,
Tensor<[1,32,32,32]>,
ttnn.divaten::_safe_softmax4
1Scalar,
Scalar,
ttnn.divaten::arange4
2Tensor<[1,32,1]>,
Tensor<[1,32,1]>,
ttnn.divaten::mean.dim4
3Tensor<[1,12,7,7]>,
Tensor<[1,12,7,7]>,
ttnn.divaten::_safe_softmax4
4Tensor<[32]>,
Tensor<[32]>,
ttnn.divaten::reciprocal5
5Tensor<[64]>,
Tensor<[64]>,
ttnn.divaten::reciprocal5
6Tensor<[128]>,
Tensor<[128]>,
ttnn.divaten::reciprocal5
7Tensor<[256]>,
Tensor<[256]>,
ttnn.divaten::reciprocal5
8Tensor<[512]>,
Tensor<[512]>,
ttnn.divaten::reciprocal5
9Tensor<[1,1024,512]>,
Tensor<[1,1024,512]>,
ttnn.divaten::gelu4
10Tensor<[1,256,256]>,
Tensor<[1,256,256]>,
ttnn.divaten::gelu4
11Tensor<[1,512]>,
Tensor<[1,512]>,
ttnn.divaten::mean.dim4
12Tensor<[8,920,920]>,
Tensor<[8,920,920]>,
ttnn.divaten::_softmax4
13Tensor<[8,100,100]>,
Tensor<[8,100,100]>,
ttnn.divaten::_softmax4
14Tensor<[8,100,920]>,
Tensor<[8,100,920]>,
ttnn.divaten::_softmax4
15Tensor<[1,23,40]>,
Tensor<[1,23,40]>,
ttnn.divaten::div.Tensor4
16Tensor<[1,23,40,128]>,
Tensor<[1,23,40,128]>,
ttnn.divaten::div.Tensor4
17Tensor<[1,12,10,10]>,
Tensor<[1,12,10,10]>,
ttnn.divaten::_safe_softmax4
18Tensor<[1,10,3072]>,
Tensor<[1,10,3072]>,
ttnn.divaten::gelu4
19Tensor<[1,10,768]>,
Tensor<[1,10,768]>,
ttnn.divaten::gelu4
20Tensor<[1,8,4096,4096]>,
Tensor<[1,8,4096,4096]>,
ttnn.divaten::_safe_softmax4
21Tensor<[1,8,4096,9]>,
Tensor<[1,8,4096,9]>,
ttnn.divaten::_safe_softmax4
22Tensor<[1,8,1024,1024]>,
Tensor<[1,8,1024,1024]>,
ttnn.divaten::_safe_softmax4
23Tensor<[1,8,1024,9]>,
Tensor<[1,8,1024,9]>,
ttnn.divaten::_safe_softmax4
24Tensor<[1,8,256,256]>,
Tensor<[1,8,256,256]>,
ttnn.divaten::_safe_softmax4
25Tensor<[1,8,256,9]>,
Tensor<[1,8,256,9]>,
ttnn.divaten::_safe_softmax4
26Tensor<[1,8,64,64]>,
Tensor<[1,8,64,64]>,
ttnn.divaten::_safe_softmax4
27Tensor<[1,8,64,9]>,
Tensor<[1,8,64,9]>,
ttnn.divaten::_safe_softmax4
28Tensor<[160]>,
Tensor<[160]>,
ttnn.divaten::div.Tensor4
29Tensor<[1,320,64,64]>,
Tensor<[1,320,64,64]>,
ttnn.divaten::div.Tensor4
30Tensor<[1,4096,320]>,
Tensor<[1,4096,320]>,
ttnn.divaten::div.Tensor4
31Tensor<[1,640,32,32]>,
Tensor<[1,640,32,32]>,
ttnn.divaten::div.Tensor4
32Tensor<[1,1024,640]>,
Tensor<[1,1024,640]>,
ttnn.divaten::div.Tensor4
33Tensor<[1,1280,16,16]>,
Tensor<[1,1280,16,16]>,
ttnn.divaten::div.Tensor4
34Tensor<[1,256,1280]>,
Tensor<[1,256,1280]>,
ttnn.divaten::div.Tensor4
35Tensor<[1,1280,8,8]>,
Tensor<[1,1280,8,8]>,
ttnn.divaten::div.Tensor4
36Tensor<[1,64,1280]>,
Tensor<[1,64,1280]>,
ttnn.divaten::div.Tensor4
37Tensor<[1,4096,1280]>,
Tensor<[1,4096,1280]>,
ttnn.divaten::gelu4
38Tensor<[1,1024,2560]>,
Tensor<[1,1024,2560]>,
ttnn.divaten::gelu4
39Tensor<[1,256,5120]>,
Tensor<[1,256,5120]>,
ttnn.divaten::gelu4
40Tensor<[1,64,5120]>,
Tensor<[1,64,5120]>,
ttnn.divaten::gelu4
41Tensor<[1,12,25,25]>,
Tensor<[1,12,25,25]>,
ttnn.divaten::_safe_softmax4
42Tensor<[1,25,3072]>,
Tensor<[1,25,3072]>,
ttnn.divaten::gelu4
43Tensor<[1,3,1445,1445]>,
Tensor<[1,3,1445,1445]>,
ttnn.divaten::_safe_softmax4
44Tensor<[1,1445,768]>,
Tensor<[1,1445,768]>,
ttnn.divaten::gelu4
45Tensor<[1,512,1,1]>,
Tensor<[1,512,1,1]>,
ttnn.divaten::mean.dim4
46Tensor<[1,12,8,8]>,
Tensor<[1,12,8,8]>,
ttnn.divaten::_softmax4
47Tensor<[1,3072,8]>,
Tensor<[1,3072,8]>,
ttnn.divaten::gelu4
48Tensor<[1,8,256,2048]>,
Tensor<[1,8,256,2048]>,
ttnn.divaten::_softmax4
49Tensor<[1,8,2048,256]>,
Tensor<[1,8,2048,256]>,
ttnn.divaten::_softmax4
50Tensor<[1,2048,768]>,
Tensor<[1,2048,768]>,
ttnn.divaten::gelu4
51Tensor<[1,2048,1,1]>,
Tensor<[1,2048,1,1]>,
ttnn.divaten::mean.dim4
52Tensor<[1024]>,
Tensor<[1024]>,
ttnn.divaten::reciprocal5
53Tensor<[2048]>,
Tensor<[2048]>,
ttnn.divaten::reciprocal5
54Tensor<[1,12,201,201]>,
Tensor<[1,12,201,201]>,
ttnn.divaten::_softmax4
55Tensor<[1,201,3072]>,
Tensor<[1,201,3072]>,
ttnn.divaten::gelu4
56Tensor<[1,1536]>,
Tensor<[1,1536]>,
ttnn.divaten::gelu4
57Tensor<[16,19,19]>,
Tensor<[16,19,19]>,
ttnn.divaten::_softmax4
58Tensor<[19]>,
Tensor<[19]>,
ttnn.divaten::floor_divide4
59Tensor<[1,19,4096]>,
Tensor<[1,19,4096]>,
ttnn.divaten::gelu4
60Tensor<[1,1024,1,1]>,
Tensor<[1,1024,1,1]>,
ttnn.divaten::mean.dim4
61Tensor<[14]>,
Tensor<[14]>,
ttnn.divaten::reciprocal5
62Tensor<[24]>,
Tensor<[24]>,
ttnn.divaten::reciprocal5
63Tensor<[40]>,
Tensor<[40]>,
ttnn.divaten::reciprocal5
64Tensor<[68]>,
Tensor<[68]>,
ttnn.divaten::reciprocal5
65Tensor<[16]>,
Tensor<[16]>,
ttnn.divaten::reciprocal5
66Tensor<[28]>,
Tensor<[28]>,
ttnn.divaten::reciprocal5
67Tensor<[46]>,
Tensor<[46]>,
ttnn.divaten::reciprocal5
68Tensor<[78]>,
Tensor<[78]>,
ttnn.divaten::reciprocal5
69Tensor<[134]>,
Tensor<[134]>,
ttnn.divaten::reciprocal5
70Tensor<[20]>,
Tensor<[20]>,
ttnn.divaten::reciprocal5
71Tensor<[34]>,
Tensor<[34]>,
ttnn.divaten::reciprocal5
72Tensor<[58]>,
Tensor<[58]>,
ttnn.divaten::reciprocal5
73Tensor<[98]>,
Tensor<[98]>,
ttnn.divaten::reciprocal5
74Tensor<[168]>,
Tensor<[168]>,
ttnn.divaten::reciprocal5
75Tensor<[320]>,
Tensor<[320]>,
ttnn.divaten::reciprocal5
76Tensor<[116]>,
Tensor<[116]>,
ttnn.divaten::reciprocal5
77Tensor<[196]>,
Tensor<[196]>,
ttnn.divaten::reciprocal5
78Tensor<[334]>,
Tensor<[334]>,
ttnn.divaten::reciprocal5
79Tensor<[640]>,
Tensor<[640]>,
ttnn.divaten::reciprocal5
80Tensor<[272]>,
Tensor<[272]>,
ttnn.divaten::reciprocal5
81Tensor<[462]>,
Tensor<[462]>,
ttnn.divaten::reciprocal5
82Tensor<[1,16,32,32]>,
Tensor<[1,16,32,32]>,
ttnn.divaten::_softmax4
83Tensor<[1,12,16,16]>,
Tensor<[1,12,16,16]>,
ttnn.divaten::_safe_softmax4
84Tensor<[1,16,3072]>,
Tensor<[1,16,3072]>,
ttnn.divaten::gelu4
85Tensor<[1,1,19200,300]>,
Tensor<[1,1,19200,300]>,
ttnn.divaten::_softmax4
86Tensor<[1,2,4800,300]>,
Tensor<[1,2,4800,300]>,
ttnn.divaten::_softmax4
87Tensor<[1,5,1200,300]>,
Tensor<[1,5,1200,300]>,
ttnn.divaten::_softmax4
88Tensor<[1,8,300,300]>,
Tensor<[1,8,300,300]>,
ttnn.divaten::_softmax4
89Tensor<[1,19200,256]>,
Tensor<[1,19200,256]>,
ttnn.divaten::gelu4
90Tensor<[1,4800,512]>,
Tensor<[1,4800,512]>,
ttnn.divaten::gelu4
91Tensor<[1,1200,1280]>,
Tensor<[1,1200,1280]>,
ttnn.divaten::gelu4
92Tensor<[1,300,2048]>,
Tensor<[1,300,2048]>,
ttnn.divaten::gelu4
93Tensor<[1,12,197,197]>,
Tensor<[1,12,197,197]>,
ttnn.divaten::_safe_softmax4
94Tensor<[1,197,3072]>,
Tensor<[1,197,3072]>,
ttnn.divaten::gelu4
95Tensor<[1,1,16384,256]>,
Tensor<[1,1,16384,256]>,
ttnn.divaten::_softmax4
96Tensor<[1,2,4096,256]>,
Tensor<[1,2,4096,256]>,
ttnn.divaten::_softmax4
97Tensor<[1,5,1024,256]>,
Tensor<[1,5,1024,256]>,
ttnn.divaten::_softmax4
98Tensor<[1,16384,128]>,
Tensor<[1,16384,128]>,
ttnn.divaten::gelu4
99Tensor<[1,4096,256]>,
Tensor<[1,4096,256]>,
ttnn.divaten::gelu4
100Tensor<[1,256,1024]>,
Tensor<[1,256,1024]>,
ttnn.divaten::gelu4
101Tensor<[1,71,7,7]>,
Tensor<[1,71,7,7]>,
ttnn.divaten::_safe_softmax4
102Tensor<[1,7,18176]>,
Tensor<[1,7,18176]>,
ttnn.divaten::gelu4
103Tensor<[1,1280,1,1]>,
Tensor<[1,1280,1,1]>,
ttnn.divaten::mean.dim4
104Tensor<[96]>,
Tensor<[96]>,
ttnn.divaten::reciprocal5
105Tensor<[144]>,
Tensor<[144]>,
ttnn.divaten::reciprocal5
106Tensor<[192]>,
Tensor<[192]>,
ttnn.divaten::reciprocal5
107Tensor<[384]>,
Tensor<[384]>,
ttnn.divaten::reciprocal5
108Tensor<[576]>,
Tensor<[576]>,
ttnn.divaten::reciprocal5
109Tensor<[960]>,
Tensor<[960]>,
ttnn.divaten::reciprocal5
110Tensor<[1280]>,
Tensor<[1280]>,
ttnn.divaten::reciprocal5
111Tensor<[1,12,12,12]>,
Tensor<[1,12,12,12]>,
ttnn.divaten::_safe_softmax4
112Tensor<[1,12,9,9]>,
Tensor<[1,12,9,9]>,
ttnn.divaten::_safe_softmax4
113Tensor<[1,16,9,9]>,
Tensor<[1,16,9,9]>,
ttnn.divaten::_safe_softmax4
114Tensor<[1,64,9,9]>,
Tensor<[1,64,9,9]>,
ttnn.divaten::_safe_softmax4
115Tensor<[1,12,14,14]>,
Tensor<[1,12,14,14]>,
ttnn.divaten::_safe_softmax4
116Tensor<[1,12,50,50]>,
Tensor<[1,12,50,50]>,
ttnn.divaten::_safe_softmax4
117Tensor<[2,8,7,7]>,
Tensor<[2,8,7,7]>,
ttnn.divaten::_safe_softmax4
118Tensor<[2,512]>,
Tensor<[2,512]>,
ttnn.divaten::div.Tensor4
119Tensor<[1,16,197,197]>,
Tensor<[1,16,197,197]>,
ttnn.divaten::_softmax4
120Tensor<[197]>,
Tensor<[197]>,
ttnn.divaten::floor_divide4
121Tensor<[1,197,4096]>,
Tensor<[1,197,4096]>,
ttnn.divaten::gelu4
122Tensor<[1,1024]>,
Tensor<[1,1024]>,
ttnn.divaten::mean.dim4
123Tensor<[1,768]>,
Tensor<[1,768]>,
ttnn.divaten::mean.dim4

stablehlo.dot_general::ttnn.matmul

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,64,1]>,
Tensor<[1,1,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
1Tensor<[32,32,128]>,
Tensor<[32,128,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
2Tensor<[32,32,32]>,
Tensor<[32,32,128]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
3Tensor<[32,4096]>,
Tensor<[4096,4096]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
4Tensor<[32,4096]>,
Tensor<[4096,11008]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
5Tensor<[32,11008]>,
Tensor<[11008,4096]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
6Tensor<[32,4096]>,
Tensor<[4096,32000]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
7Tensor<[12,7,64]>,
Tensor<[12,64,7]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
8Tensor<[12,7,7]>,
Tensor<[12,7,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
9Tensor<[7,768]>,
Tensor<[768,2304]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
10Tensor<[7,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
11Tensor<[7,768]>,
Tensor<[768,3072]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
12Tensor<[7,3072]>,
Tensor<[3072,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
13Tensor<[7,768]>,
Tensor<[768,2]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
14Tensor<[256,768]>,
Tensor<[768,512]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
15Tensor<[256,512]>,
Tensor<[512,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
16Tensor<[256,256]>,
Tensor<[256,512]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
17Tensor<[1,512]>,
Tensor<[512,1000]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
18Tensor<[8,920,32]>,
Tensor<[8,32,920]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::baddbmm4
19Tensor<[8,100,32]>,
Tensor<[8,32,920]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::baddbmm4
20Tensor<[920,1,256]>,
Tensor<[920,256,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
21Tensor<[8,920,920]>,
Tensor<[8,920,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
22Tensor<[8,100,32]>,
Tensor<[8,32,100]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
23Tensor<[8,100,100]>,
Tensor<[8,100,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
24Tensor<[8,100,920]>,
Tensor<[8,920,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
25Tensor<[6,100,256]>,
Tensor<[6,256,92]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
26Tensor<[6,100,256]>,
Tensor<[6,256,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
27Tensor<[920,256]>,
Tensor<[256,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
28Tensor<[920,256]>,
Tensor<[256,2048]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
29Tensor<[920,2048]>,
Tensor<[2048,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
30Tensor<[100,256]>,
Tensor<[256,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
31Tensor<[100,256]>,
Tensor<[256,2048]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
32Tensor<[100,2048]>,
Tensor<[2048,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
33Tensor<[600,256]>,
Tensor<[256,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
34Tensor<[600,256]>,
Tensor<[256,4]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
35Tensor<[12,10,64]>,
Tensor<[12,64,10]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
36Tensor<[12,10,10]>,
Tensor<[12,10,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
37Tensor<[10,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
38Tensor<[10,768]>,
Tensor<[768,3072]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
39Tensor<[10,3072]>,
Tensor<[3072,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
40Tensor<[10,768]>,
Tensor<[768,250002]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
41Tensor<[8,4096,40]>,
Tensor<[8,40,4096]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
42Tensor<[8,4096,4096]>,
Tensor<[8,4096,40]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
43Tensor<[8,4096,40]>,
Tensor<[8,40,9]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
44Tensor<[8,4096,9]>,
Tensor<[8,9,40]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
45Tensor<[8,1024,80]>,
Tensor<[8,80,1024]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
46Tensor<[8,1024,1024]>,
Tensor<[8,1024,80]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
47Tensor<[8,1024,80]>,
Tensor<[8,80,9]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
48Tensor<[8,1024,9]>,
Tensor<[8,9,80]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
49Tensor<[8,256,160]>,
Tensor<[8,160,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
50Tensor<[8,256,256]>,
Tensor<[8,256,160]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
51Tensor<[8,256,160]>,
Tensor<[8,160,9]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
52Tensor<[8,256,9]>,
Tensor<[8,9,160]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
53Tensor<[8,64,160]>,
Tensor<[8,160,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
54Tensor<[8,64,64]>,
Tensor<[8,64,160]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
55Tensor<[8,64,160]>,
Tensor<[8,160,9]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
56Tensor<[8,64,9]>,
Tensor<[8,9,160]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
57Tensor<[1,320]>,
Tensor<[320,1280]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
58Tensor<[1,1280]>,
Tensor<[1280,1280]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
59Tensor<[1,1280]>,
Tensor<[1280,320]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
60Tensor<[4096,320]>,
Tensor<[320,320]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
61Tensor<[9,768]>,
Tensor<[768,320]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
62Tensor<[4096,320]>,
Tensor<[320,2560]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
63Tensor<[4096,1280]>,
Tensor<[1280,320]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
64Tensor<[1,1280]>,
Tensor<[1280,640]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
65Tensor<[1024,640]>,
Tensor<[640,640]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
66Tensor<[9,768]>,
Tensor<[768,640]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
67Tensor<[1024,640]>,
Tensor<[640,5120]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
68Tensor<[1024,2560]>,
Tensor<[2560,640]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
69Tensor<[256,1280]>,
Tensor<[1280,1280]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
70Tensor<[9,768]>,
Tensor<[768,1280]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
71Tensor<[256,1280]>,
Tensor<[1280,10240]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
72Tensor<[256,5120]>,
Tensor<[5120,1280]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
73Tensor<[64,1280]>,
Tensor<[1280,1280]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
74Tensor<[64,1280]>,
Tensor<[1280,10240]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
75Tensor<[64,5120]>,
Tensor<[5120,1280]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
76Tensor<[12,25,64]>,
Tensor<[12,64,25]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
77Tensor<[12,25,25]>,
Tensor<[12,25,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
78Tensor<[25,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
79Tensor<[25,768]>,
Tensor<[768,3072]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
80Tensor<[25,3072]>,
Tensor<[3072,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
81Tensor<[25,768]>,
Tensor<[768,2]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
82Tensor<[1,768]>,
Tensor<[768,1]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
83Tensor<[3,1445,64]>,
Tensor<[3,64,1445]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
84Tensor<[3,1445,1445]>,
Tensor<[3,1445,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
85Tensor<[1445,192]>,
Tensor<[192,192]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
86Tensor<[1445,192]>,
Tensor<[192,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
87Tensor<[1445,768]>,
Tensor<[768,192]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
88Tensor<[100,192]>,
Tensor<[192,192]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
89Tensor<[100,192]>,
Tensor<[192,92]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
90Tensor<[100,192]>,
Tensor<[192,4]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
91Tensor<[12,8,64]>,
Tensor<[12,64,8]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
92Tensor<[12,8,8]>,
Tensor<[12,8,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
93Tensor<[1,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
94Tensor<[1,768]>,
Tensor<[768,3]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
95Tensor<[8,256,32]>,
Tensor<[8,32,2048]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
96Tensor<[8,256,2048]>,
Tensor<[8,2048,160]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
97Tensor<[8,256,32]>,
Tensor<[8,32,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
98Tensor<[8,2048,32]>,
Tensor<[8,32,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
99Tensor<[8,2048,256]>,
Tensor<[8,256,96]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
100Tensor<[256,1280]>,
Tensor<[1280,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
101Tensor<[2048,768]>,
Tensor<[768,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
102Tensor<[2048,768]>,
Tensor<[768,1280]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
103Tensor<[256,1280]>,
Tensor<[1280,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
104Tensor<[2048,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
105Tensor<[2048,768]>,
Tensor<[768,262]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
106Tensor<[1,2048]>,
Tensor<[2048,1000]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
107Tensor<[12,201,64]>,
Tensor<[12,64,201]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
108Tensor<[12,201,201]>,
Tensor<[12,201,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
109Tensor<[201,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
110Tensor<[201,768]>,
Tensor<[768,3072]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
111Tensor<[201,3072]>,
Tensor<[3072,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
112Tensor<[1,768]>,
Tensor<[768,1536]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
113Tensor<[1,1536]>,
Tensor<[1536,3129]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
114Tensor<[1,9216]>,
Tensor<[9216,128]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
115Tensor<[1,128]>,
Tensor<[128,10]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
116Tensor<[16,19,64]>,
Tensor<[16,64,19]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
117Tensor<[16,19,19]>,
Tensor<[16,19,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
118Tensor<[19,1024]>,
Tensor<[1024,1024]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
119Tensor<[19,1024]>,
Tensor<[1024,4096]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
120Tensor<[19,4096]>,
Tensor<[4096,1024]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
121Tensor<[19,1024]>,
Tensor<[1024,256008]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
122Tensor<[1,1024]>,
Tensor<[1024,1000]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
123Tensor<[16,32,96]>,
Tensor<[16,96,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::baddbmm4
124Tensor<[16,32,32]>,
Tensor<[16,32,96]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
125Tensor<[32,1536]>,
Tensor<[1536,4608]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
126Tensor<[32,1536]>,
Tensor<[1536,1536]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
127Tensor<[32,1536]>,
Tensor<[1536,6144]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
128Tensor<[32,6144]>,
Tensor<[6144,1536]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
129Tensor<[32,1536]>,
Tensor<[1536,250880]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
130Tensor<[12,16,64]>,
Tensor<[12,64,16]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
131Tensor<[12,16,16]>,
Tensor<[12,16,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
132Tensor<[16,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
133Tensor<[16,768]>,
Tensor<[768,3072]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
134Tensor<[16,3072]>,
Tensor<[3072,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
135Tensor<[1,19200,64]>,
Tensor<[1,64,300]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
136Tensor<[1,19200,300]>,
Tensor<[1,300,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
137Tensor<[1,19200,256]>,
Tensor<[1,256,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
138Tensor<[2,4800,64]>,
Tensor<[2,64,300]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
139Tensor<[2,4800,300]>,
Tensor<[2,300,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
140Tensor<[1,4800,512]>,
Tensor<[1,512,128]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
141Tensor<[5,1200,64]>,
Tensor<[5,64,300]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
142Tensor<[5,1200,300]>,
Tensor<[5,300,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
143Tensor<[1,1200,1280]>,
Tensor<[1,1280,320]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
144Tensor<[8,300,64]>,
Tensor<[8,64,300]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
145Tensor<[8,300,300]>,
Tensor<[8,300,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
146Tensor<[1,300,2048]>,
Tensor<[1,2048,512]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
147Tensor<[19200,64]>,
Tensor<[64,64]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
148Tensor<[300,64]>,
Tensor<[64,64]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
149Tensor<[19200,64]>,
Tensor<[64,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
150Tensor<[4800,128]>,
Tensor<[128,128]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
151Tensor<[300,128]>,
Tensor<[128,128]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
152Tensor<[4800,128]>,
Tensor<[128,512]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
153Tensor<[1200,320]>,
Tensor<[320,320]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
154Tensor<[300,320]>,
Tensor<[320,320]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
155Tensor<[1200,320]>,
Tensor<[320,1280]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
156Tensor<[300,512]>,
Tensor<[512,512]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
157Tensor<[300,512]>,
Tensor<[512,2048]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
158Tensor<[12,197,64]>,
Tensor<[12,64,197]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
159Tensor<[12,197,197]>,
Tensor<[12,197,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
160Tensor<[197,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
161Tensor<[197,768]>,
Tensor<[768,3072]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
162Tensor<[197,3072]>,
Tensor<[3072,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
163Tensor<[1,768]>,
Tensor<[768,1000]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
164Tensor<[1,16384,32]>,
Tensor<[1,32,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
165Tensor<[1,16384,256]>,
Tensor<[1,256,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
166Tensor<[1,16384,128]>,
Tensor<[1,128,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
167Tensor<[2,4096,32]>,
Tensor<[2,32,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
168Tensor<[2,4096,256]>,
Tensor<[2,256,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
169Tensor<[1,4096,256]>,
Tensor<[1,256,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
170Tensor<[5,1024,32]>,
Tensor<[5,32,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
171Tensor<[5,1024,256]>,
Tensor<[5,256,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
172Tensor<[1,1024,640]>,
Tensor<[1,640,160]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
173Tensor<[8,256,256]>,
Tensor<[8,256,32]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
174Tensor<[1,256,1024]>,
Tensor<[1,1024,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
175Tensor<[1,4096,64]>,
Tensor<[1,64,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
176Tensor<[1,1024,160]>,
Tensor<[1,160,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
177Tensor<[1,256,256]>,
Tensor<[1,256,256]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
178Tensor<[16384,32]>,
Tensor<[32,32]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
179Tensor<[256,32]>,
Tensor<[32,32]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
180Tensor<[16384,32]>,
Tensor<[32,128]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
181Tensor<[4096,64]>,
Tensor<[64,64]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
182Tensor<[256,64]>,
Tensor<[64,64]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
183Tensor<[4096,64]>,
Tensor<[64,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
184Tensor<[1024,160]>,
Tensor<[160,160]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
185Tensor<[256,160]>,
Tensor<[160,160]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
186Tensor<[1024,160]>,
Tensor<[160,640]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
187Tensor<[256,256]>,
Tensor<[256,256]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
188Tensor<[256,256]>,
Tensor<[256,1024]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
189Tensor<[1,32,1]>,
Tensor<[1,1,7]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
190Tensor<[71,7,64]>,
Tensor<[71,64,7]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
191Tensor<[71,7,7]>,
Tensor<[71,7,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
192Tensor<[7,4544]>,
Tensor<[4544,4672]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
193Tensor<[7,4544]>,
Tensor<[4544,4544]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
194Tensor<[7,4544]>,
Tensor<[4544,18176]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
195Tensor<[7,18176]>,
Tensor<[18176,4544]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
196Tensor<[7,4544]>,
Tensor<[4544,65024]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
197Tensor<[1,1280]>,
Tensor<[1280,1000]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
198Tensor<[12,12,64]>,
Tensor<[12,64,12]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
199Tensor<[12,12,12]>,
Tensor<[12,12,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
200Tensor<[12,128]>,
Tensor<[128,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
201Tensor<[12,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
202Tensor<[12,768]>,
Tensor<[768,3072]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
203Tensor<[12,3072]>,
Tensor<[3072,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
204Tensor<[12,768]>,
Tensor<[768,2]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
205Tensor<[12,9,64]>,
Tensor<[12,64,9]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
206Tensor<[12,9,9]>,
Tensor<[12,9,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
207Tensor<[9,128]>,
Tensor<[128,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
208Tensor<[9,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
209Tensor<[9,768]>,
Tensor<[768,3072]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
210Tensor<[9,3072]>,
Tensor<[3072,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
211Tensor<[9,768]>,
Tensor<[768,128]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
212Tensor<[9,128]>,
Tensor<[128,30000]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
213Tensor<[16,9,128]>,
Tensor<[16,128,9]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
214Tensor<[16,9,9]>,
Tensor<[16,9,128]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
215Tensor<[9,128]>,
Tensor<[128,2048]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
216Tensor<[9,2048]>,
Tensor<[2048,2048]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
217Tensor<[9,2048]>,
Tensor<[2048,8192]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
218Tensor<[9,8192]>,
Tensor<[8192,2048]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
219Tensor<[9,2048]>,
Tensor<[2048,128]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
220Tensor<[16,9,64]>,
Tensor<[16,64,9]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
221Tensor<[16,9,9]>,
Tensor<[16,9,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
222Tensor<[9,128]>,
Tensor<[128,1024]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
223Tensor<[9,1024]>,
Tensor<[1024,1024]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
224Tensor<[9,1024]>,
Tensor<[1024,4096]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
225Tensor<[9,4096]>,
Tensor<[4096,1024]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
226Tensor<[9,1024]>,
Tensor<[1024,128]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
227Tensor<[64,9,64]>,
Tensor<[64,64,9]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
228Tensor<[64,9,9]>,
Tensor<[64,9,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
229Tensor<[9,128]>,
Tensor<[128,4096]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
230Tensor<[9,4096]>,
Tensor<[4096,4096]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
231Tensor<[9,4096]>,
Tensor<[4096,16384]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
232Tensor<[9,16384]>,
Tensor<[16384,4096]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
233Tensor<[9,4096]>,
Tensor<[4096,128]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
234Tensor<[1,768]>,
Tensor<[768,2]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
235Tensor<[12,14,64]>,
Tensor<[12,64,14]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
236Tensor<[12,14,14]>,
Tensor<[12,14,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
237Tensor<[14,128]>,
Tensor<[128,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
238Tensor<[14,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
239Tensor<[14,768]>,
Tensor<[768,3072]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
240Tensor<[14,3072]>,
Tensor<[3072,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
241Tensor<[14,768]>,
Tensor<[768,2]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
242Tensor<[12,50,64]>,
Tensor<[12,64,50]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
243Tensor<[12,50,50]>,
Tensor<[12,50,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
244Tensor<[16,7,64]>,
Tensor<[16,64,7]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
245Tensor<[16,7,7]>,
Tensor<[16,7,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
246Tensor<[50,768]>,
Tensor<[768,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
247Tensor<[50,768]>,
Tensor<[768,3072]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
248Tensor<[50,3072]>,
Tensor<[3072,768]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
249Tensor<[14,512]>,
Tensor<[512,512]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
250Tensor<[14,512]>,
Tensor<[512,2048]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
251Tensor<[14,2048]>,
Tensor<[2048,512]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
252Tensor<[1,768]>,
Tensor<[768,512]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
253Tensor<[2,512]>,
Tensor<[512,512]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
254Tensor<[2,512]>,
Tensor<[512,1]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
255Tensor<[16,197,64]>,
Tensor<[16,64,197]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
256Tensor<[16,197,197]>,
Tensor<[16,197,64]>,
batching_dims: [0] x [0]
contracting_dims: [2] x [1]
ttnn.matmulaten::bmm4
257Tensor<[197,1024]>,
Tensor<[1024,1024]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
258Tensor<[197,1024]>,
Tensor<[1024,4096]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
259Tensor<[197,4096]>,
Tensor<[4096,1024]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
260Tensor<[1,784]>,
Tensor<[784,128]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
261Tensor<[1,128]>,
Tensor<[128,64]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
262Tensor<[1,64]>,
Tensor<[64,12]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
263Tensor<[1,12]>,
Tensor<[12,3]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
264Tensor<[1,3]>,
Tensor<[3,12]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
265Tensor<[1,12]>,
Tensor<[12,64]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
266Tensor<[1,64]>,
Tensor<[64,128]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5
267Tensor<[1,128]>,
Tensor<[128,784]>,
contracting_dims: [1] x [0]
ttnn.matmulaten::mm5

stablehlo.dynamic_iota::ttnn.arange

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1]>,
dim: 0
ttnn.arangeaten::arange4

stablehlo.exponential::ttnn.exp

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,32]>,
ttnn.expaten::_safe_softmax4
1Tensor<[1,12,7,7]>,
ttnn.expaten::_safe_softmax4
2Tensor<[1,128,28,28]>,
ttnn.expaten::elu4
3Tensor<[8,920,920]>,
ttnn.expaten::_softmax4
4Tensor<[8,100,100]>,
ttnn.expaten::_softmax4
5Tensor<[8,100,920]>,
ttnn.expaten::_softmax4
6Tensor<[1,12,10,10]>,
ttnn.expaten::_safe_softmax4
7Tensor<[1,8,4096,4096]>,
ttnn.expaten::_safe_softmax4
8Tensor<[1,8,4096,9]>,
ttnn.expaten::_safe_softmax4
9Tensor<[1,8,1024,1024]>,
ttnn.expaten::_safe_softmax4
10Tensor<[1,8,1024,9]>,
ttnn.expaten::_safe_softmax4
11Tensor<[1,8,256,256]>,
ttnn.expaten::_safe_softmax4
12Tensor<[1,8,256,9]>,
ttnn.expaten::_safe_softmax4
13Tensor<[1,8,64,64]>,
ttnn.expaten::_safe_softmax4
14Tensor<[1,8,64,9]>,
ttnn.expaten::_safe_softmax4
15Tensor<[160]>,
ttnn.expaten::exp5
16Tensor<[1,12,25,25]>,
ttnn.expaten::_safe_softmax4
17Tensor<[1,3,1445,1445]>,
ttnn.expaten::_safe_softmax4
18Tensor<[1,12,8,8]>,
ttnn.expaten::_softmax4
19Tensor<[1,8,256,2048]>,
ttnn.expaten::_softmax4
20Tensor<[1,8,2048,256]>,
ttnn.expaten::_softmax4
21Tensor<[1,12,201,201]>,
ttnn.expaten::_softmax4
22Tensor<[1,10]>,
ttnn.expaten::exp5
23Tensor<[16,19,19]>,
ttnn.expaten::_softmax4
24Tensor<[19,256008]>,
ttnn.expaten::exp5
25Tensor<[1,16,32,32]>,
ttnn.expaten::_softmax4
26Tensor<[1,12,16,16]>,
ttnn.expaten::_safe_softmax4
27Tensor<[1,1,19200,300]>,
ttnn.expaten::_softmax4
28Tensor<[1,2,4800,300]>,
ttnn.expaten::_softmax4
29Tensor<[1,5,1200,300]>,
ttnn.expaten::_softmax4
30Tensor<[1,8,300,300]>,
ttnn.expaten::_softmax4
31Tensor<[1,12,197,197]>,
ttnn.expaten::_safe_softmax4
32Tensor<[1,1,16384,256]>,
ttnn.expaten::_softmax4
33Tensor<[1,2,4096,256]>,
ttnn.expaten::_softmax4
34Tensor<[1,5,1024,256]>,
ttnn.expaten::_softmax4
35Tensor<[1,71,7,7]>,
ttnn.expaten::_safe_softmax4
36Tensor<[1,12,12,12]>,
ttnn.expaten::_safe_softmax4
37Tensor<[1,12,9,9]>,
ttnn.expaten::_safe_softmax4
38Tensor<[1,16,9,9]>,
ttnn.expaten::_safe_softmax4
39Tensor<[1,64,9,9]>,
ttnn.expaten::_safe_softmax4
40Tensor<[1,12,14,14]>,
ttnn.expaten::_safe_softmax4
41Tensor<[1,12,50,50]>,
ttnn.expaten::_safe_softmax4
42Tensor<[2,8,7,7]>,
ttnn.expaten::_safe_softmax4
43Scalar,
ttnn.expaten::exp5
44Tensor<[1,16,197,197]>,
ttnn.expaten::_softmax4

stablehlo.floor::ttnn.floor

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[128]>,
ttnn.flooraten::floor_divide4
1Tensor<[19]>,
ttnn.flooraten::floor_divide4
2Tensor<[197]>,
ttnn.flooraten::floor_divide4

stablehlo.gather::ttnn.embedding

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[32000,4096]>,
Tensor<[1,32]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
1Tensor<[50257,768]>,
Tensor<[1,7]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
2Tensor<[1024,768]>,
Tensor<[1,7]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
3Tensor<[1,7,2]>,
Tensor<[1,2]>,
offset_dims: [1]
collapsed_slice_dims: [0, 1]
start_index_map: [0, 1]
index_vector_dim: 1
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
4Tensor<[1,1,720,1280]>,
Tensor<[1,1,23,40,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
5Tensor<[250002,768]>,
Tensor<[1,10]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
6Tensor<[1,768]>,
Tensor<[1,10]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
7Tensor<[514,768]>,
Tensor<[1,10]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
8Tensor<[1,1280,8,8]>,
Tensor<[1,1280,16,16,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
9Tensor<[1,1280,16,16]>,
Tensor<[1,1280,32,32,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
10Tensor<[1,640,32,32]>,
Tensor<[1,640,64,64,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
11Tensor<[30522,768]>,
Tensor<[1,25]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
12Tensor<[2,768]>,
Tensor<[1,25]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
13Tensor<[512,768]>,
Tensor<[1,25]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
14Tensor<[30528,768]>,
Tensor<[1,8]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
15Tensor<[512,768]>,
Tensor<[1,8]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
16Tensor<[2,768]>,
Tensor<[1,8]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
17Tensor<[262,768]>,
Tensor<[1,2048]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
18Tensor<[2048,768]>,
Tensor<[2048]>,
offset_dims: [1]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 1
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
19Tensor<[30522,768]>,
Tensor<[1,8]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
20Tensor<[40,768]>,
Tensor<[1,8]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
21Tensor<[2,768]>,
Tensor<[1,193]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
22Tensor<[1,1,384,512]>,
Tensor<[1,1,12,16,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
23Tensor<[256008,1024]>,
Tensor<[1,19]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
24Tensor<[19,256008]>,
Tensor<[19,1,2]>,
collapsed_slice_dims: [0, 1]
start_index_map: [0, 1]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::gather4
25Tensor<[2050,1024]>,
Tensor<[19]>,
offset_dims: [1]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 1
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index_select4
26Tensor<[1,256,16,16]>,
Tensor<[1,256,32,32,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
27Tensor<[1,128,32,32]>,
Tensor<[1,128,64,64,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
28Tensor<[250880,1536]>,
Tensor<[1,32]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
29Tensor<[30522,768]>,
Tensor<[1,16]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
30Tensor<[512,768]>,
Tensor<[1,16]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
31Tensor<[1,64,15,20]>,
Tensor<[1,64,30,40,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
32Tensor<[1,64,30,40]>,
Tensor<[1,64,60,80,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
33Tensor<[1,64,60,80]>,
Tensor<[1,64,120,160,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
34Tensor<[1,64,120,160]>,
Tensor<[1,64,240,320,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
35Tensor<[1,64,240,320]>,
Tensor<[1,64,480,640,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
36Tensor<[1,256,128,128]>,
Tensor<[1,256,128,128,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
37Tensor<[1,256,64,64]>,
Tensor<[1,256,128,128,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
38Tensor<[1,256,32,32]>,
Tensor<[1,256,128,128,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
39Tensor<[1,256,16,16]>,
Tensor<[1,256,128,128,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
40Tensor<[65024,4544]>,
Tensor<[1,7]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
41Tensor<[1,7,73,64]>,
Tensor<[1,7,1,64,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
42Tensor<[30000,128]>,
Tensor<[1,12]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
43Tensor<[2,128]>,
Tensor<[1,12]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
44Tensor<[512,128]>,
Tensor<[1,12]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
45Tensor<[30000,128]>,
Tensor<[1,9]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
46Tensor<[2,128]>,
Tensor<[1,9]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
47Tensor<[512,128]>,
Tensor<[1,9]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
48Tensor<[30000,128]>,
Tensor<[1,14]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
49Tensor<[2,128]>,
Tensor<[1,14]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
50Tensor<[512,128]>,
Tensor<[1,14]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
51Tensor<[50,768]>,
Tensor<[1,50]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
52Tensor<[49408,512]>,
Tensor<[2,7]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
53Tensor<[77,512]>,
Tensor<[1,7]>,
offset_dims: [2]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 2
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::embedding4
54Tensor<[2,7,512]>,
Tensor<[2,2]>,
offset_dims: [1]
collapsed_slice_dims: [0, 1]
start_index_map: [0, 1]
index_vector_dim: 1
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
55Tensor<[1,16,27,27]>,
Tensor<[1,16,27,27,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
56Tensor<[732,16]>,
Tensor<[38809,1]>,
offset_dims: [1]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 1
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
57Tensor<[1,12,27,27]>,
Tensor<[1,12,27,27,4]>,
collapsed_slice_dims: [0, 1, 2, 3]
start_index_map: [0, 1, 2, 3]
index_vector_dim: 4
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4
58Tensor<[732,12]>,
Tensor<[38809,1]>,
offset_dims: [1]
collapsed_slice_dims: [0]
start_index_map: [0]
index_vector_dim: 1
indices_are_sorted: false
slice_sizes: array<i64
ttnn.embeddingaten::index.Tensor4

stablehlo.iota::ttnn.arange

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[19,1,1]>,
Tensor<[19,1,1]>,
dim: 0
ttnn.arangeaten::gather4

stablehlo.log::ttnn.log

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,1]>,
ttnn.logaten::log4
1Tensor<[19,1]>,
ttnn.logaten::log4

stablehlo.logistic::ttnn.sigmoig

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,11008]>,
ttnn.sigmoigaten::silu4
1Tensor<[6,1,100,4]>,
ttnn.sigmoigaten::sigmoid4
2Tensor<[1,1280]>,
ttnn.sigmoigaten::silu4
3Tensor<[1,320,64,64]>,
ttnn.sigmoigaten::silu4
4Tensor<[1,320,32,32]>,
ttnn.sigmoigaten::silu4
5Tensor<[1,640,32,32]>,
ttnn.sigmoigaten::silu4
6Tensor<[1,640,16,16]>,
ttnn.sigmoigaten::silu4
7Tensor<[1,1280,16,16]>,
ttnn.sigmoigaten::silu4
8Tensor<[1,1280,8,8]>,
ttnn.sigmoigaten::silu4
9Tensor<[1,2560,8,8]>,
ttnn.sigmoigaten::silu4
10Tensor<[1,2560,16,16]>,
ttnn.sigmoigaten::silu4
11Tensor<[1,1920,16,16]>,
ttnn.sigmoigaten::silu4
12Tensor<[1,1920,32,32]>,
ttnn.sigmoigaten::silu4
13Tensor<[1,1280,32,32]>,
ttnn.sigmoigaten::silu4
14Tensor<[1,960,32,32]>,
ttnn.sigmoigaten::silu4
15Tensor<[1,960,64,64]>,
ttnn.sigmoigaten::silu4
16Tensor<[1,640,64,64]>,
ttnn.sigmoigaten::silu4
17Tensor<[1,100,4]>,
ttnn.sigmoigaten::sigmoid4
18Tensor<[1,1,256,256]>,
ttnn.sigmoigaten::sigmoid4
19Tensor<[1,2,30,40]>,
ttnn.sigmoigaten::sigmoid4
20Tensor<[1,2,60,80]>,
ttnn.sigmoigaten::sigmoid4
21Tensor<[1,2,120,160]>,
ttnn.sigmoigaten::sigmoid4
22Tensor<[1,1,480,640]>,
ttnn.sigmoigaten::sigmoid4
23Tensor<[1,50,3072]>,
ttnn.sigmoigaten::sigmoid4
24Tensor<[2,7,2048]>,
ttnn.sigmoigaten::sigmoid4

stablehlo.maximum::ttnn.maximum

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,128,28,28]>,
Tensor<[1,128,28,28]>,
ttnn.maximumaten::elu4
1Tensor<[1,32,112,112]>,
Tensor<[1,32,112,112]>,
ttnn.maximumaten::relu4
2Tensor<[1,64,112,112]>,
Tensor<[1,64,112,112]>,
ttnn.maximumaten::relu4
3Tensor<[1,64,56,56]>,
Tensor<[1,64,56,56]>,
ttnn.maximumaten::relu4
4Tensor<[1,128,56,56]>,
Tensor<[1,128,56,56]>,
ttnn.maximumaten::relu4
5Tensor<[1,256,28,28]>,
Tensor<[1,256,28,28]>,
ttnn.maximumaten::relu4
6Tensor<[1,512,28,28]>,
Tensor<[1,512,28,28]>,
ttnn.maximumaten::relu4
7Tensor<[1,64,360,640]>,
Tensor<[1,64,360,640]>,
ttnn.maximumaten::relu4
8Tensor<[1,64,180,320]>,
Tensor<[1,64,180,320]>,
ttnn.maximumaten::relu4
9Tensor<[1,256,180,320]>,
Tensor<[1,256,180,320]>,
ttnn.maximumaten::relu4
10Tensor<[1,128,180,320]>,
Tensor<[1,128,180,320]>,
ttnn.maximumaten::relu4
11Tensor<[1,128,90,160]>,
Tensor<[1,128,90,160]>,
ttnn.maximumaten::relu4
12Tensor<[1,512,90,160]>,
Tensor<[1,512,90,160]>,
ttnn.maximumaten::relu4
13Tensor<[1,256,90,160]>,
Tensor<[1,256,90,160]>,
ttnn.maximumaten::relu4
14Tensor<[1,256,45,80]>,
Tensor<[1,256,45,80]>,
ttnn.maximumaten::relu4
15Tensor<[1,1024,45,80]>,
Tensor<[1,1024,45,80]>,
ttnn.maximumaten::relu4
16Tensor<[1,512,45,80]>,
Tensor<[1,512,45,80]>,
ttnn.maximumaten::relu4
17Tensor<[1,512,23,40]>,
Tensor<[1,512,23,40]>,
ttnn.maximumaten::relu4
18Tensor<[1,2048,23,40]>,
Tensor<[1,2048,23,40]>,
ttnn.maximumaten::relu4
19Tensor<[920,1,2048]>,
Tensor<[920,1,2048]>,
ttnn.maximumaten::relu4
20Tensor<[100,1,2048]>,
Tensor<[100,1,2048]>,
ttnn.maximumaten::relu4
21Tensor<[6,1,100,256]>,
Tensor<[6,1,100,256]>,
ttnn.maximumaten::relu4
22Tensor<[1,100,192]>,
Tensor<[1,100,192]>,
ttnn.maximumaten::relu4
23Tensor<[1,256,14,14]>,
Tensor<[1,256,14,14]>,
ttnn.maximumaten::relu4
24Tensor<[1,512,7,7]>,
Tensor<[1,512,7,7]>,
ttnn.maximumaten::relu4
25Tensor<[1,256,56,56]>,
Tensor<[1,256,56,56]>,
ttnn.maximumaten::relu4
26Tensor<[1,1024,14,14]>,
Tensor<[1,1024,14,14]>,
ttnn.maximumaten::relu4
27Tensor<[1,512,14,14]>,
Tensor<[1,512,14,14]>,
ttnn.maximumaten::relu4
28Tensor<[1,2048,7,7]>,
Tensor<[1,2048,7,7]>,
ttnn.maximumaten::relu4
29Tensor<[1,32,26,26]>,
Tensor<[1,32,26,26]>,
ttnn.maximumaten::relu4
30Tensor<[1,64,24,24]>,
Tensor<[1,64,24,24]>,
ttnn.maximumaten::relu4
31Tensor<[1,128]>,
Tensor<[1,128]>,
ttnn.maximumaten::relu4
32Tensor<[1,16,19,19]>,
Tensor<[1,16,19,19]>,
ttnn.maximumaten::maximum4
33Tensor<[1,14,56,56]>,
Tensor<[1,14,56,56]>,
ttnn.maximumaten::hardtanh4
34Tensor<[1,24,56,56]>,
Tensor<[1,24,56,56]>,
ttnn.maximumaten::hardtanh4
35Tensor<[1,40,56,56]>,
Tensor<[1,40,56,56]>,
ttnn.maximumaten::hardtanh4
36Tensor<[1,68,56,56]>,
Tensor<[1,68,56,56]>,
ttnn.maximumaten::hardtanh4
37Tensor<[1,16,28,28]>,
Tensor<[1,16,28,28]>,
ttnn.maximumaten::hardtanh4
38Tensor<[1,28,28,28]>,
Tensor<[1,28,28,28]>,
ttnn.maximumaten::hardtanh4
39Tensor<[1,46,28,28]>,
Tensor<[1,46,28,28]>,
ttnn.maximumaten::hardtanh4
40Tensor<[1,78,28,28]>,
Tensor<[1,78,28,28]>,
ttnn.maximumaten::hardtanh4
41Tensor<[1,134,28,28]>,
Tensor<[1,134,28,28]>,
ttnn.maximumaten::hardtanh4
42Tensor<[1,20,28,28]>,
Tensor<[1,20,28,28]>,
ttnn.maximumaten::hardtanh4
43Tensor<[1,34,28,28]>,
Tensor<[1,34,28,28]>,
ttnn.maximumaten::hardtanh4
44Tensor<[1,58,28,28]>,
Tensor<[1,58,28,28]>,
ttnn.maximumaten::hardtanh4
45Tensor<[1,98,28,28]>,
Tensor<[1,98,28,28]>,
ttnn.maximumaten::hardtanh4
46Tensor<[1,168,28,28]>,
Tensor<[1,168,28,28]>,
ttnn.maximumaten::hardtanh4
47Tensor<[1,320,28,28]>,
Tensor<[1,320,28,28]>,
ttnn.maximumaten::hardtanh4
48Tensor<[1,40,14,14]>,
Tensor<[1,40,14,14]>,
ttnn.maximumaten::hardtanh4
49Tensor<[1,68,14,14]>,
Tensor<[1,68,14,14]>,
ttnn.maximumaten::hardtanh4
50Tensor<[1,116,14,14]>,
Tensor<[1,116,14,14]>,
ttnn.maximumaten::hardtanh4
51Tensor<[1,196,14,14]>,
Tensor<[1,196,14,14]>,
ttnn.maximumaten::hardtanh4
52Tensor<[1,334,14,14]>,
Tensor<[1,334,14,14]>,
ttnn.maximumaten::hardtanh4
53Tensor<[1,640,14,14]>,
Tensor<[1,640,14,14]>,
ttnn.maximumaten::hardtanh4
54Tensor<[1,160,7,7]>,
Tensor<[1,160,7,7]>,
ttnn.maximumaten::hardtanh4
55Tensor<[1,272,7,7]>,
Tensor<[1,272,7,7]>,
ttnn.maximumaten::hardtanh4
56Tensor<[1,462,7,7]>,
Tensor<[1,462,7,7]>,
ttnn.maximumaten::hardtanh4
57Tensor<[1,1024,7,7]>,
Tensor<[1,1024,7,7]>,
ttnn.maximumaten::hardtanh4
58Tensor<[1,32,512,512]>,
Tensor<[1,32,512,512]>,
ttnn.maximumaten::leaky_relu4
59Tensor<[1,64,256,256]>,
Tensor<[1,64,256,256]>,
ttnn.maximumaten::leaky_relu4
60Tensor<[1,32,256,256]>,
Tensor<[1,32,256,256]>,
ttnn.maximumaten::leaky_relu4
61Tensor<[1,128,128,128]>,
Tensor<[1,128,128,128]>,
ttnn.maximumaten::leaky_relu4
62Tensor<[1,64,128,128]>,
Tensor<[1,64,128,128]>,
ttnn.maximumaten::leaky_relu4
63Tensor<[1,256,64,64]>,
Tensor<[1,256,64,64]>,
ttnn.maximumaten::leaky_relu4
64Tensor<[1,128,64,64]>,
Tensor<[1,128,64,64]>,
ttnn.maximumaten::leaky_relu4
65Tensor<[1,512,32,32]>,
Tensor<[1,512,32,32]>,
ttnn.maximumaten::leaky_relu4
66Tensor<[1,256,32,32]>,
Tensor<[1,256,32,32]>,
ttnn.maximumaten::leaky_relu4
67Tensor<[1,1024,16,16]>,
Tensor<[1,1024,16,16]>,
ttnn.maximumaten::leaky_relu4
68Tensor<[1,512,16,16]>,
Tensor<[1,512,16,16]>,
ttnn.maximumaten::leaky_relu4
69Tensor<[1,256,16,16]>,
Tensor<[1,256,16,16]>,
ttnn.maximumaten::leaky_relu4
70Tensor<[1,128,32,32]>,
Tensor<[1,128,32,32]>,
ttnn.maximumaten::leaky_relu4
71Tensor<[1,4,14,14]>,
Tensor<[1,4,14,14]>,
ttnn.maximumaten::relu4
72Tensor<[1,16,14,14]>,
Tensor<[1,16,14,14]>,
ttnn.maximumaten::relu4
73Tensor<[1,64,224,224]>,
Tensor<[1,64,224,224]>,
ttnn.maximumaten::relu4
74Tensor<[1,128,112,112]>,
Tensor<[1,128,112,112]>,
ttnn.maximumaten::relu4
75Tensor<[1,64,30,40]>,
Tensor<[1,64,30,40]>,
ttnn.maximumaten::relu4
76Tensor<[1,32,30,40]>,
Tensor<[1,32,30,40]>,
ttnn.maximumaten::relu4
77Tensor<[1,64,60,80]>,
Tensor<[1,64,60,80]>,
ttnn.maximumaten::relu4
78Tensor<[1,32,60,80]>,
Tensor<[1,32,60,80]>,
ttnn.maximumaten::relu4
79Tensor<[1,64,120,160]>,
Tensor<[1,64,120,160]>,
ttnn.maximumaten::relu4
80Tensor<[1,32,120,160]>,
Tensor<[1,32,120,160]>,
ttnn.maximumaten::relu4
81Tensor<[1,64,480,640]>,
Tensor<[1,64,480,640]>,
ttnn.maximumaten::relu4
82Tensor<[1,256,128,128]>,
Tensor<[1,256,128,128]>,
ttnn.maximumaten::relu4
83Tensor<[1,96,112,112]>,
Tensor<[1,96,112,112]>,
ttnn.maximumaten::hardtanh4
84Tensor<[1,96,56,56]>,
Tensor<[1,96,56,56]>,
ttnn.maximumaten::hardtanh4
85Tensor<[1,144,56,56]>,
Tensor<[1,144,56,56]>,
ttnn.maximumaten::hardtanh4
86Tensor<[1,144,28,28]>,
Tensor<[1,144,28,28]>,
ttnn.maximumaten::hardtanh4
87Tensor<[1,192,28,28]>,
Tensor<[1,192,28,28]>,
ttnn.maximumaten::hardtanh4
88Tensor<[1,192,14,14]>,
Tensor<[1,192,14,14]>,
ttnn.maximumaten::hardtanh4
89Tensor<[1,384,14,14]>,
Tensor<[1,384,14,14]>,
ttnn.maximumaten::hardtanh4
90Tensor<[1,576,14,14]>,
Tensor<[1,576,14,14]>,
ttnn.maximumaten::hardtanh4
91Tensor<[1,576,7,7]>,
Tensor<[1,576,7,7]>,
ttnn.maximumaten::hardtanh4
92Tensor<[1,960,7,7]>,
Tensor<[1,960,7,7]>,
ttnn.maximumaten::hardtanh4
93Tensor<[1,1280,7,7]>,
Tensor<[1,1280,7,7]>,
ttnn.maximumaten::hardtanh4
94Tensor<[1,64]>,
Tensor<[1,64]>,
ttnn.maximumaten::relu4
95Tensor<[1,12]>,
Tensor<[1,12]>,
ttnn.maximumaten::relu4

stablehlo.minimum::ttnn.minimum

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,128,28,28]>,
Tensor<[1,128,28,28]>,
ttnn.minimumaten::elu4
1Tensor<[1,32,112,112]>,
Tensor<[1,32,112,112]>,
ttnn.minimumaten::hardtanh4
2Tensor<[1,64,112,112]>,
Tensor<[1,64,112,112]>,
ttnn.minimumaten::hardtanh4
3Tensor<[1,14,56,56]>,
Tensor<[1,14,56,56]>,
ttnn.minimumaten::hardtanh4
4Tensor<[1,24,56,56]>,
Tensor<[1,24,56,56]>,
ttnn.minimumaten::hardtanh4
5Tensor<[1,40,56,56]>,
Tensor<[1,40,56,56]>,
ttnn.minimumaten::hardtanh4
6Tensor<[1,68,56,56]>,
Tensor<[1,68,56,56]>,
ttnn.minimumaten::hardtanh4
7Tensor<[1,128,56,56]>,
Tensor<[1,128,56,56]>,
ttnn.minimumaten::hardtanh4
8Tensor<[1,16,28,28]>,
Tensor<[1,16,28,28]>,
ttnn.minimumaten::hardtanh4
9Tensor<[1,28,28,28]>,
Tensor<[1,28,28,28]>,
ttnn.minimumaten::hardtanh4
10Tensor<[1,46,28,28]>,
Tensor<[1,46,28,28]>,
ttnn.minimumaten::hardtanh4
11Tensor<[1,78,28,28]>,
Tensor<[1,78,28,28]>,
ttnn.minimumaten::hardtanh4
12Tensor<[1,134,28,28]>,
Tensor<[1,134,28,28]>,
ttnn.minimumaten::hardtanh4
13Tensor<[1,256,28,28]>,
Tensor<[1,256,28,28]>,
ttnn.minimumaten::hardtanh4
14Tensor<[1,20,28,28]>,
Tensor<[1,20,28,28]>,
ttnn.minimumaten::hardtanh4
15Tensor<[1,34,28,28]>,
Tensor<[1,34,28,28]>,
ttnn.minimumaten::hardtanh4
16Tensor<[1,58,28,28]>,
Tensor<[1,58,28,28]>,
ttnn.minimumaten::hardtanh4
17Tensor<[1,98,28,28]>,
Tensor<[1,98,28,28]>,
ttnn.minimumaten::hardtanh4
18Tensor<[1,168,28,28]>,
Tensor<[1,168,28,28]>,
ttnn.minimumaten::hardtanh4
19Tensor<[1,320,28,28]>,
Tensor<[1,320,28,28]>,
ttnn.minimumaten::hardtanh4
20Tensor<[1,40,14,14]>,
Tensor<[1,40,14,14]>,
ttnn.minimumaten::hardtanh4
21Tensor<[1,68,14,14]>,
Tensor<[1,68,14,14]>,
ttnn.minimumaten::hardtanh4
22Tensor<[1,116,14,14]>,
Tensor<[1,116,14,14]>,
ttnn.minimumaten::hardtanh4
23Tensor<[1,196,14,14]>,
Tensor<[1,196,14,14]>,
ttnn.minimumaten::hardtanh4
24Tensor<[1,334,14,14]>,
Tensor<[1,334,14,14]>,
ttnn.minimumaten::hardtanh4
25Tensor<[1,640,14,14]>,
Tensor<[1,640,14,14]>,
ttnn.minimumaten::hardtanh4
26Tensor<[1,160,7,7]>,
Tensor<[1,160,7,7]>,
ttnn.minimumaten::hardtanh4
27Tensor<[1,272,7,7]>,
Tensor<[1,272,7,7]>,
ttnn.minimumaten::hardtanh4
28Tensor<[1,462,7,7]>,
Tensor<[1,462,7,7]>,
ttnn.minimumaten::hardtanh4
29Tensor<[1,1024,7,7]>,
Tensor<[1,1024,7,7]>,
ttnn.minimumaten::hardtanh4
30Tensor<[1,32,512,512]>,
Tensor<[1,32,512,512]>,
ttnn.minimumaten::leaky_relu4
31Tensor<[1,64,256,256]>,
Tensor<[1,64,256,256]>,
ttnn.minimumaten::leaky_relu4
32Tensor<[1,32,256,256]>,
Tensor<[1,32,256,256]>,
ttnn.minimumaten::leaky_relu4
33Tensor<[1,128,128,128]>,
Tensor<[1,128,128,128]>,
ttnn.minimumaten::leaky_relu4
34Tensor<[1,64,128,128]>,
Tensor<[1,64,128,128]>,
ttnn.minimumaten::leaky_relu4
35Tensor<[1,256,64,64]>,
Tensor<[1,256,64,64]>,
ttnn.minimumaten::leaky_relu4
36Tensor<[1,128,64,64]>,
Tensor<[1,128,64,64]>,
ttnn.minimumaten::leaky_relu4
37Tensor<[1,512,32,32]>,
Tensor<[1,512,32,32]>,
ttnn.minimumaten::leaky_relu4
38Tensor<[1,256,32,32]>,
Tensor<[1,256,32,32]>,
ttnn.minimumaten::leaky_relu4
39Tensor<[1,1024,16,16]>,
Tensor<[1,1024,16,16]>,
ttnn.minimumaten::leaky_relu4
40Tensor<[1,512,16,16]>,
Tensor<[1,512,16,16]>,
ttnn.minimumaten::leaky_relu4
41Tensor<[1,256,16,16]>,
Tensor<[1,256,16,16]>,
ttnn.minimumaten::leaky_relu4
42Tensor<[1,128,32,32]>,
Tensor<[1,128,32,32]>,
ttnn.minimumaten::leaky_relu4
43Tensor<[1,96,112,112]>,
Tensor<[1,96,112,112]>,
ttnn.minimumaten::hardtanh4
44Tensor<[1,96,56,56]>,
Tensor<[1,96,56,56]>,
ttnn.minimumaten::hardtanh4
45Tensor<[1,144,56,56]>,
Tensor<[1,144,56,56]>,
ttnn.minimumaten::hardtanh4
46Tensor<[1,144,28,28]>,
Tensor<[1,144,28,28]>,
ttnn.minimumaten::hardtanh4
47Tensor<[1,192,28,28]>,
Tensor<[1,192,28,28]>,
ttnn.minimumaten::hardtanh4
48Tensor<[1,192,14,14]>,
Tensor<[1,192,14,14]>,
ttnn.minimumaten::hardtanh4
49Tensor<[1,384,14,14]>,
Tensor<[1,384,14,14]>,
ttnn.minimumaten::hardtanh4
50Tensor<[1,576,14,14]>,
Tensor<[1,576,14,14]>,
ttnn.minimumaten::hardtanh4
51Tensor<[1,576,7,7]>,
Tensor<[1,576,7,7]>,
ttnn.minimumaten::hardtanh4
52Tensor<[1,960,7,7]>,
Tensor<[1,960,7,7]>,
ttnn.minimumaten::hardtanh4
53Tensor<[1,1280,7,7]>,
Tensor<[1,1280,7,7]>,
ttnn.minimumaten::hardtanh4

stablehlo.multiply::ttnn.multiply

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[32]>,
Tensor<[32]>,
ttnn.multiplyaten::arange4
1Tensor<[1,32,32,128]>,
Tensor<[1,32,32,128]>,
ttnn.multiplyaten::mul.Scalar4
2Tensor<[1,32,128,32]>,
Tensor<[1,32,128,32]>,
ttnn.multiplyaten::mul.Scalar4
3Tensor<[32,32]>,
Tensor<[32,32]>,
ttnn.multiplyaten::mul.Tensor5
4Tensor<[1,32,128]>,
Tensor<[1,32,128]>,
ttnn.multiplyaten::mul.Tensor4
5Tensor<[1,32,4096]>,
Tensor<[1,32,4096]>,
ttnn.multiplyaten::mul.Tensor4
6Tensor<[1,32,11008]>,
Tensor<[1,32,11008]>,
ttnn.multiplyaten::mul.Tensor5
7Tensor<[7]>,
Tensor<[7]>,
ttnn.multiplyaten::arange4
8Tensor<[1]>,
Tensor<[1]>,
ttnn.multiplyaten::arange4
9Tensor<[1,12,7,64]>,
Tensor<[1,12,7,64]>,
ttnn.multiplyaten::mul.Scalar4
10Tensor<[1,12,64,7]>,
Tensor<[1,12,64,7]>,
ttnn.multiplyaten::mul.Scalar4
11Tensor<[1,7,768]>,
Tensor<[1,7,768]>,
ttnn.multiplyaten::mul.Tensor4
12Tensor<[7,2304]>,
Tensor<[7,2304]>,
ttnn.multiplyaten::mul.Tensor4
13Tensor<[2304]>,
Tensor<[2304]>,
ttnn.multiplyaten::mul.Tensor4
14Tensor<[7,768]>,
Tensor<[7,768]>,
ttnn.multiplyaten::mul.Tensor4
15Tensor<[768]>,
Tensor<[768]>,
ttnn.multiplyaten::mul.Tensor4
16Tensor<[7,3072]>,
Tensor<[7,3072]>,
ttnn.multiplyaten::mul.Tensor4
17Tensor<[3072]>,
Tensor<[3072]>,
ttnn.multiplyaten::mul.Tensor4
18Tensor<[1,7,3072]>,
Tensor<[1,7,3072]>,
ttnn.multiplyaten::mul.Tensor4
19Tensor<[1,128,28,28]>,
Tensor<[1,128,28,28]>,
ttnn.multiplyaten::elu4
20Tensor<[1,32,112,112]>,
Tensor<[1,32,112,112]>,
ttnn.multiplyaten::mul.Tensor4
21Tensor<[64]>,
Tensor<[64]>,
ttnn.multiplyaten::mul.Tensor4
22Tensor<[1,64,112,112]>,
Tensor<[1,64,112,112]>,
ttnn.multiplyaten::mul.Tensor4
23Tensor<[1,64,56,56]>,
Tensor<[1,64,56,56]>,
ttnn.multiplyaten::mul.Tensor4
24Tensor<[128]>,
Tensor<[128]>,
ttnn.multiplyaten::mul.Tensor4
25Tensor<[1,128,56,56]>,
Tensor<[1,128,56,56]>,
ttnn.multiplyaten::mul.Tensor4
26Tensor<[256]>,
Tensor<[256]>,
ttnn.multiplyaten::mul.Tensor4
27Tensor<[1,256,28,28]>,
Tensor<[1,256,28,28]>,
ttnn.multiplyaten::mul.Tensor4
28Tensor<[512]>,
Tensor<[512]>,
ttnn.multiplyaten::mul.Tensor4
29Tensor<[1,512,28,28]>,
Tensor<[1,512,28,28]>,
ttnn.multiplyaten::mul.Tensor4
30Tensor<[1,1024,512]>,
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Tensor<[1,32,512,512]>,
ttnn.multiplyaten::leaky_relu4
246Tensor<[1,64,256,256]>,
Tensor<[1,64,256,256]>,
ttnn.multiplyaten::leaky_relu4
247Tensor<[1,32,256,256]>,
Tensor<[1,32,256,256]>,
ttnn.multiplyaten::leaky_relu4
248Tensor<[1,128,128,128]>,
Tensor<[1,128,128,128]>,
ttnn.multiplyaten::leaky_relu4
249Tensor<[1,64,128,128]>,
Tensor<[1,64,128,128]>,
ttnn.multiplyaten::leaky_relu4
250Tensor<[1,256,64,64]>,
Tensor<[1,256,64,64]>,
ttnn.multiplyaten::leaky_relu4
251Tensor<[1,128,64,64]>,
Tensor<[1,128,64,64]>,
ttnn.multiplyaten::leaky_relu4
252Tensor<[1,512,32,32]>,
Tensor<[1,512,32,32]>,
ttnn.multiplyaten::leaky_relu4
253Tensor<[1,256,32,32]>,
Tensor<[1,256,32,32]>,
ttnn.multiplyaten::leaky_relu4
254Tensor<[1,1024,16,16]>,
Tensor<[1,1024,16,16]>,
ttnn.multiplyaten::leaky_relu4
255Tensor<[1,512,16,16]>,
Tensor<[1,512,16,16]>,
ttnn.multiplyaten::leaky_relu4
256Tensor<[1,256,16,16]>,
Tensor<[1,256,16,16]>,
ttnn.multiplyaten::leaky_relu4
257Tensor<[1,128,32,32]>,
Tensor<[1,128,32,32]>,
ttnn.multiplyaten::leaky_relu4
258Tensor<[16,32,32]>,
Tensor<[16,32,32]>,
ttnn.multiplyaten::baddbmm4
259Tensor<[1,32,1536]>,
Tensor<[1,32,1536]>,
ttnn.multiplyaten::mul.Tensor4
260Tensor<[1,32]>,
Tensor<[1,32]>,
ttnn.multiplyaten::mul.Tensor4
261Tensor<[1,16,32]>,
Tensor<[1,16,32]>,
ttnn.multiplyaten::mul.Tensor4
262Tensor<[32,4608]>,
Tensor<[32,4608]>,
ttnn.multiplyaten::mul.Tensor4
263Tensor<[4608]>,
Tensor<[4608]>,
ttnn.multiplyaten::mul.Tensor4
264Tensor<[32,1536]>,
Tensor<[32,1536]>,
ttnn.multiplyaten::mul.Tensor4
265Tensor<[32,6144]>,
Tensor<[32,6144]>,
ttnn.multiplyaten::mul.Tensor4
266Tensor<[6144]>,
Tensor<[6144]>,
ttnn.multiplyaten::mul.Tensor4
267Tensor<[1,32,6144]>,
Tensor<[1,32,6144]>,
ttnn.multiplyaten::mul.Tensor4
268Tensor<[1,16,3072]>,
Tensor<[1,16,3072]>,
ttnn.multiplyaten::gelu4
269Tensor<[1,12,16,64]>,
Tensor<[1,12,16,64]>,
ttnn.multiplyaten::mul.Scalar4
270Tensor<[1,12,64,16]>,
Tensor<[1,12,64,16]>,
ttnn.multiplyaten::mul.Scalar4
271Tensor<[1,16,768]>,
Tensor<[1,16,768]>,
ttnn.multiplyaten::mul.Tensor4
272Tensor<[16,768]>,
Tensor<[16,768]>,
ttnn.multiplyaten::mul.Tensor4
273Tensor<[16,3072]>,
Tensor<[16,3072]>,
ttnn.multiplyaten::mul.Tensor4
274Tensor<[1,64,224,224]>,
Tensor<[1,64,224,224]>,
ttnn.multiplyaten::mul.Tensor4
275Tensor<[1,128,112,112]>,
Tensor<[1,128,112,112]>,
ttnn.multiplyaten::mul.Tensor4
276Tensor<[30]>,
Tensor<[30]>,
ttnn.multiplyaten::arange4
277Tensor<[60]>,
Tensor<[60]>,
ttnn.multiplyaten::arange4
278Tensor<[80]>,
Tensor<[80]>,
ttnn.multiplyaten::arange4
279Tensor<[120]>,
Tensor<[120]>,
ttnn.multiplyaten::arange4
280Tensor<[240]>,
Tensor<[240]>,
ttnn.multiplyaten::arange4
281Tensor<[480]>,
Tensor<[480]>,
ttnn.multiplyaten::arange4
282Tensor<[1,19200,256]>,
Tensor<[1,19200,256]>,
ttnn.multiplyaten::gelu4
283Tensor<[1,4800,512]>,
Tensor<[1,4800,512]>,
ttnn.multiplyaten::gelu4
284Tensor<[1,1200,1280]>,
Tensor<[1,1200,1280]>,
ttnn.multiplyaten::gelu4
285Tensor<[1,300,2048]>,
Tensor<[1,300,2048]>,
ttnn.multiplyaten::gelu4
286Tensor<[1,19200,64]>,
Tensor<[1,19200,64]>,
ttnn.multiplyaten::mul.Tensor4
287Tensor<[19200,64]>,
Tensor<[19200,64]>,
ttnn.multiplyaten::mul.Tensor4
288Tensor<[1,300,64]>,
Tensor<[1,300,64]>,
ttnn.multiplyaten::mul.Tensor4
289Tensor<[300,64]>,
Tensor<[300,64]>,
ttnn.multiplyaten::mul.Tensor4
290Tensor<[19200,256]>,
Tensor<[19200,256]>,
ttnn.multiplyaten::mul.Tensor4
291Tensor<[1,4800,128]>,
Tensor<[1,4800,128]>,
ttnn.multiplyaten::mul.Tensor4
292Tensor<[4800,128]>,
Tensor<[4800,128]>,
ttnn.multiplyaten::mul.Tensor4
293Tensor<[1,300,128]>,
Tensor<[1,300,128]>,
ttnn.multiplyaten::mul.Tensor4
294Tensor<[300,128]>,
Tensor<[300,128]>,
ttnn.multiplyaten::mul.Tensor4
295Tensor<[4800,512]>,
Tensor<[4800,512]>,
ttnn.multiplyaten::mul.Tensor4
296Tensor<[1,1200,320]>,
Tensor<[1,1200,320]>,
ttnn.multiplyaten::mul.Tensor4
297Tensor<[1200,320]>,
Tensor<[1200,320]>,
ttnn.multiplyaten::mul.Tensor4
298Tensor<[1,300,320]>,
Tensor<[1,300,320]>,
ttnn.multiplyaten::mul.Tensor4
299Tensor<[300,320]>,
Tensor<[300,320]>,
ttnn.multiplyaten::mul.Tensor4
300Tensor<[1200,1280]>,
Tensor<[1200,1280]>,
ttnn.multiplyaten::mul.Tensor4
301Tensor<[1,300,512]>,
Tensor<[1,300,512]>,
ttnn.multiplyaten::mul.Tensor4
302Tensor<[300,512]>,
Tensor<[300,512]>,
ttnn.multiplyaten::mul.Tensor4
303Tensor<[300,2048]>,
Tensor<[300,2048]>,
ttnn.multiplyaten::mul.Tensor4
304Tensor<[1,64,30,40]>,
Tensor<[1,64,30,40]>,
ttnn.multiplyaten::mul.Tensor4
305Tensor<[1,32,30,40]>,
Tensor<[1,32,30,40]>,
ttnn.multiplyaten::mul.Tensor4
306Tensor<[1,64,60,80]>,
Tensor<[1,64,60,80]>,
ttnn.multiplyaten::mul.Tensor4
307Tensor<[1,32,60,80]>,
Tensor<[1,32,60,80]>,
ttnn.multiplyaten::mul.Tensor4
308Tensor<[1,64,120,160]>,
Tensor<[1,64,120,160]>,
ttnn.multiplyaten::mul.Tensor4
309Tensor<[1,32,120,160]>,
Tensor<[1,32,120,160]>,
ttnn.multiplyaten::mul.Tensor4
310Tensor<[1,64,240,320]>,
Tensor<[1,64,240,320]>,
ttnn.multiplyaten::mul.Tensor4
311Tensor<[1,64,480,640]>,
Tensor<[1,64,480,640]>,
ttnn.multiplyaten::mul.Tensor4
312Tensor<[1,1,480,640]>,
Tensor<[1,1,480,640]>,
ttnn.multiplyaten::mul.Tensor4
313Tensor<[1,197,3072]>,
Tensor<[1,197,3072]>,
ttnn.multiplyaten::gelu4
314Tensor<[1,12,197,64]>,
Tensor<[1,12,197,64]>,
ttnn.multiplyaten::mul.Scalar4
315Tensor<[1,12,64,197]>,
Tensor<[1,12,64,197]>,
ttnn.multiplyaten::mul.Scalar4
316Tensor<[1,197,768]>,
Tensor<[1,197,768]>,
ttnn.multiplyaten::mul.Tensor4
317Tensor<[197,768]>,
Tensor<[197,768]>,
ttnn.multiplyaten::mul.Tensor4
318Tensor<[197,3072]>,
Tensor<[197,3072]>,
ttnn.multiplyaten::mul.Tensor4
319Tensor<[1,16384,128]>,
Tensor<[1,16384,128]>,
ttnn.multiplyaten::gelu4
320Tensor<[1,4096,256]>,
Tensor<[1,4096,256]>,
ttnn.multiplyaten::gelu4
321Tensor<[1,256,1024]>,
Tensor<[1,256,1024]>,
ttnn.multiplyaten::gelu4
322Tensor<[1,16384,32]>,
Tensor<[1,16384,32]>,
ttnn.multiplyaten::mul.Tensor4
323Tensor<[16384,32]>,
Tensor<[16384,32]>,
ttnn.multiplyaten::mul.Tensor4
324Tensor<[1,256,32]>,
Tensor<[1,256,32]>,
ttnn.multiplyaten::mul.Tensor4
325Tensor<[256,32]>,
Tensor<[256,32]>,
ttnn.multiplyaten::mul.Tensor4
326Tensor<[16384,128]>,
Tensor<[16384,128]>,
ttnn.multiplyaten::mul.Tensor4
327Tensor<[1,4096,64]>,
Tensor<[1,4096,64]>,
ttnn.multiplyaten::mul.Tensor4
328Tensor<[4096,64]>,
Tensor<[4096,64]>,
ttnn.multiplyaten::mul.Tensor4
329Tensor<[1,256,64]>,
Tensor<[1,256,64]>,
ttnn.multiplyaten::mul.Tensor4
330Tensor<[256,64]>,
Tensor<[256,64]>,
ttnn.multiplyaten::mul.Tensor4
331Tensor<[4096,256]>,
Tensor<[4096,256]>,
ttnn.multiplyaten::mul.Tensor4
332Tensor<[1,1024,160]>,
Tensor<[1,1024,160]>,
ttnn.multiplyaten::mul.Tensor4
333Tensor<[1024,160]>,
Tensor<[1024,160]>,
ttnn.multiplyaten::mul.Tensor4
334Tensor<[1,256,160]>,
Tensor<[1,256,160]>,
ttnn.multiplyaten::mul.Tensor4
335Tensor<[256,160]>,
Tensor<[256,160]>,
ttnn.multiplyaten::mul.Tensor4
336Tensor<[256,1024]>,
Tensor<[256,1024]>,
ttnn.multiplyaten::mul.Tensor4
337Tensor<[1,256,128,128]>,
Tensor<[1,256,128,128]>,
ttnn.multiplyaten::mul.Tensor4
338Tensor<[1,7,18176]>,
Tensor<[1,7,18176]>,
ttnn.multiplyaten::gelu4
339Tensor<[1,71,7,64]>,
Tensor<[1,71,7,64]>,
ttnn.multiplyaten::mul.Scalar4
340Tensor<[1,1,64,7]>,
Tensor<[1,1,64,7]>,
ttnn.multiplyaten::mul.Scalar4
341Tensor<[7,7]>,
Tensor<[7,7]>,
ttnn.multiplyaten::mul.Tensor5
342Tensor<[1,7,64]>,
Tensor<[1,7,64]>,
ttnn.multiplyaten::mul.Tensor4
343Tensor<[1,7,4544]>,
Tensor<[1,7,4544]>,
ttnn.multiplyaten::mul.Tensor4
344Tensor<[1,1,7,64]>,
Tensor<[1,1,7,64]>,
ttnn.multiplyaten::mul.Tensor5
345Tensor<[1,16,112,112]>,
Tensor<[1,16,112,112]>,
ttnn.multiplyaten::mul.Tensor4
346Tensor<[96]>,
Tensor<[96]>,
ttnn.multiplyaten::mul.Tensor4
347Tensor<[1,96,112,112]>,
Tensor<[1,96,112,112]>,
ttnn.multiplyaten::mul.Tensor4
348Tensor<[1,96,56,56]>,
Tensor<[1,96,56,56]>,
ttnn.multiplyaten::mul.Tensor4
349Tensor<[144]>,
Tensor<[144]>,
ttnn.multiplyaten::mul.Tensor4
350Tensor<[1,144,56,56]>,
Tensor<[1,144,56,56]>,
ttnn.multiplyaten::mul.Tensor4
351Tensor<[1,144,28,28]>,
Tensor<[1,144,28,28]>,
ttnn.multiplyaten::mul.Tensor4
352Tensor<[1,32,28,28]>,
Tensor<[1,32,28,28]>,
ttnn.multiplyaten::mul.Tensor4
353Tensor<[1,192,28,28]>,
Tensor<[1,192,28,28]>,
ttnn.multiplyaten::mul.Tensor4
354Tensor<[1,192,14,14]>,
Tensor<[1,192,14,14]>,
ttnn.multiplyaten::mul.Tensor4
355Tensor<[1,64,14,14]>,
Tensor<[1,64,14,14]>,
ttnn.multiplyaten::mul.Tensor4
356Tensor<[384]>,
Tensor<[384]>,
ttnn.multiplyaten::mul.Tensor4
357Tensor<[1,384,14,14]>,
Tensor<[1,384,14,14]>,
ttnn.multiplyaten::mul.Tensor4
358Tensor<[1,96,14,14]>,
Tensor<[1,96,14,14]>,
ttnn.multiplyaten::mul.Tensor4
359Tensor<[576]>,
Tensor<[576]>,
ttnn.multiplyaten::mul.Tensor4
360Tensor<[1,576,14,14]>,
Tensor<[1,576,14,14]>,
ttnn.multiplyaten::mul.Tensor4
361Tensor<[1,576,7,7]>,
Tensor<[1,576,7,7]>,
ttnn.multiplyaten::mul.Tensor4
362Tensor<[960]>,
Tensor<[960]>,
ttnn.multiplyaten::mul.Tensor4
363Tensor<[1,960,7,7]>,
Tensor<[1,960,7,7]>,
ttnn.multiplyaten::mul.Tensor4
364Tensor<[1,320,7,7]>,
Tensor<[1,320,7,7]>,
ttnn.multiplyaten::mul.Tensor4
365Tensor<[1,1280,7,7]>,
Tensor<[1,1280,7,7]>,
ttnn.multiplyaten::mul.Tensor4
366Tensor<[1,12,12,64]>,
Tensor<[1,12,12,64]>,
ttnn.multiplyaten::mul.Scalar4
367Tensor<[1,12,64,12]>,
Tensor<[1,12,64,12]>,
ttnn.multiplyaten::mul.Scalar4
368Tensor<[1,12,128]>,
Tensor<[1,12,128]>,
ttnn.multiplyaten::mul.Tensor4
369Tensor<[12,768]>,
Tensor<[12,768]>,
ttnn.multiplyaten::mul.Tensor4
370Tensor<[1,12,768]>,
Tensor<[1,12,768]>,
ttnn.multiplyaten::mul.Tensor4
371Tensor<[12,3072]>,
Tensor<[12,3072]>,
ttnn.multiplyaten::mul.Tensor4
372Tensor<[1,12,3072]>,
Tensor<[1,12,3072]>,
ttnn.multiplyaten::mul.Tensor4
373Tensor<[12,2]>,
Tensor<[12,2]>,
ttnn.multiplyaten::mul.Tensor4
374Tensor<[1,12,9,64]>,
Tensor<[1,12,9,64]>,
ttnn.multiplyaten::mul.Scalar4
375Tensor<[1,12,64,9]>,
Tensor<[1,12,64,9]>,
ttnn.multiplyaten::mul.Scalar4
376Tensor<[1,9,128]>,
Tensor<[1,9,128]>,
ttnn.multiplyaten::mul.Tensor4
377Tensor<[9,768]>,
Tensor<[9,768]>,
ttnn.multiplyaten::mul.Tensor4
378Tensor<[1,9,768]>,
Tensor<[1,9,768]>,
ttnn.multiplyaten::mul.Tensor4
379Tensor<[9,3072]>,
Tensor<[9,3072]>,
ttnn.multiplyaten::mul.Tensor4
380Tensor<[1,9,3072]>,
Tensor<[1,9,3072]>,
ttnn.multiplyaten::mul.Tensor4
381Tensor<[9,128]>,
Tensor<[9,128]>,
ttnn.multiplyaten::mul.Tensor4
382Tensor<[9,30000]>,
Tensor<[9,30000]>,
ttnn.multiplyaten::mul.Tensor4
383Tensor<[30000]>,
Tensor<[30000]>,
ttnn.multiplyaten::mul.Tensor4
384Tensor<[1,16,9,128]>,
Tensor<[1,16,9,128]>,
ttnn.multiplyaten::mul.Scalar4
385Tensor<[1,16,128,9]>,
Tensor<[1,16,128,9]>,
ttnn.multiplyaten::mul.Scalar4
386Tensor<[9,2048]>,
Tensor<[9,2048]>,
ttnn.multiplyaten::mul.Tensor4
387Tensor<[1,9,2048]>,
Tensor<[1,9,2048]>,
ttnn.multiplyaten::mul.Tensor4
388Tensor<[9,8192]>,
Tensor<[9,8192]>,
ttnn.multiplyaten::mul.Tensor4
389Tensor<[8192]>,
Tensor<[8192]>,
ttnn.multiplyaten::mul.Tensor4
390Tensor<[1,9,8192]>,
Tensor<[1,9,8192]>,
ttnn.multiplyaten::mul.Tensor4
391Tensor<[1,16,9,64]>,
Tensor<[1,16,9,64]>,
ttnn.multiplyaten::mul.Scalar4
392Tensor<[1,16,64,9]>,
Tensor<[1,16,64,9]>,
ttnn.multiplyaten::mul.Scalar4
393Tensor<[9,1024]>,
Tensor<[9,1024]>,
ttnn.multiplyaten::mul.Tensor4
394Tensor<[1,9,1024]>,
Tensor<[1,9,1024]>,
ttnn.multiplyaten::mul.Tensor4
395Tensor<[9,4096]>,
Tensor<[9,4096]>,
ttnn.multiplyaten::mul.Tensor4
396Tensor<[1,9,4096]>,
Tensor<[1,9,4096]>,
ttnn.multiplyaten::mul.Tensor4
397Tensor<[1,64,9,64]>,
Tensor<[1,64,9,64]>,
ttnn.multiplyaten::mul.Scalar4
398Tensor<[1,64,64,9]>,
Tensor<[1,64,64,9]>,
ttnn.multiplyaten::mul.Scalar4
399Tensor<[9,16384]>,
Tensor<[9,16384]>,
ttnn.multiplyaten::mul.Tensor4
400Tensor<[16384]>,
Tensor<[16384]>,
ttnn.multiplyaten::mul.Tensor4
401Tensor<[1,9,16384]>,
Tensor<[1,9,16384]>,
ttnn.multiplyaten::mul.Tensor4
402Tensor<[1,2]>,
Tensor<[1,2]>,
ttnn.multiplyaten::mul.Tensor4
403Tensor<[1,12,14,64]>,
Tensor<[1,12,14,64]>,
ttnn.multiplyaten::mul.Scalar4
404Tensor<[1,12,64,14]>,
Tensor<[1,12,64,14]>,
ttnn.multiplyaten::mul.Scalar4
405Tensor<[1,14,128]>,
Tensor<[1,14,128]>,
ttnn.multiplyaten::mul.Tensor4
406Tensor<[14,768]>,
Tensor<[14,768]>,
ttnn.multiplyaten::mul.Tensor4
407Tensor<[1,14,768]>,
Tensor<[1,14,768]>,
ttnn.multiplyaten::mul.Tensor4
408Tensor<[14,3072]>,
Tensor<[14,3072]>,
ttnn.multiplyaten::mul.Tensor4
409Tensor<[1,14,3072]>,
Tensor<[1,14,3072]>,
ttnn.multiplyaten::mul.Tensor4
410Tensor<[14,2]>,
Tensor<[14,2]>,
ttnn.multiplyaten::mul.Tensor4
411Tensor<[1,12,50,64]>,
Tensor<[1,12,50,64]>,
ttnn.multiplyaten::mul.Scalar4
412Tensor<[1,12,64,50]>,
Tensor<[1,12,64,50]>,
ttnn.multiplyaten::mul.Scalar4
413Tensor<[2,8,7,64]>,
Tensor<[2,8,7,64]>,
ttnn.multiplyaten::mul.Scalar4
414Tensor<[2,8,64,7]>,
Tensor<[2,8,64,7]>,
ttnn.multiplyaten::mul.Scalar4
415Tensor<[1,50,768]>,
Tensor<[1,50,768]>,
ttnn.multiplyaten::mul.Tensor4
416Tensor<[50,768]>,
Tensor<[50,768]>,
ttnn.multiplyaten::mul.Tensor4
417Tensor<[50,3072]>,
Tensor<[50,3072]>,
ttnn.multiplyaten::mul.Tensor4
418Tensor<[1,50,3072]>,
Tensor<[1,50,3072]>,
ttnn.multiplyaten::mul.Tensor4
419Tensor<[2,7,512]>,
Tensor<[2,7,512]>,
ttnn.multiplyaten::mul.Tensor4
420Tensor<[14,512]>,
Tensor<[14,512]>,
ttnn.multiplyaten::mul.Tensor4
421Tensor<[14,2048]>,
Tensor<[14,2048]>,
ttnn.multiplyaten::mul.Tensor4
422Tensor<[2,7,2048]>,
Tensor<[2,7,2048]>,
ttnn.multiplyaten::mul.Tensor4
423Tensor<[2,1]>,
Tensor<[2,1]>,
ttnn.multiplyaten::mul.Tensor4
424Tensor<[27]>,
Tensor<[27]>,
ttnn.multiplyaten::arange4
425Tensor<[197]>,
Tensor<[197]>,
ttnn.multiplyaten::arange4
426Tensor<[1,197,4096]>,
Tensor<[1,197,4096]>,
ttnn.multiplyaten::gelu4
427Tensor<[1,197,1024]>,
Tensor<[1,197,1024]>,
ttnn.multiplyaten::mul.Tensor4
428Tensor<[197,1024]>,
Tensor<[197,1024]>,
ttnn.multiplyaten::mul.Tensor4
429Tensor<[1,16,27,27]>,
Tensor<[1,16,27,27]>,
ttnn.multiplyaten::mul.Tensor4
430Tensor<[196,196]>,
Tensor<[196,196]>,
ttnn.multiplyaten::mul.Tensor4
431Tensor<[197,4096]>,
Tensor<[197,4096]>,
ttnn.multiplyaten::mul.Tensor4
432Tensor<[1,1024]>,
Tensor<[1,1024]>,
ttnn.multiplyaten::mul.Tensor4
433Tensor<[1,12,27,27]>,
Tensor<[1,12,27,27]>,
ttnn.multiplyaten::mul.Tensor4
434Tensor<[1,64]>,
Tensor<[1,64]>,
ttnn.multiplyaten::mul.Tensor4
435Tensor<[1,12]>,
Tensor<[1,12]>,
ttnn.multiplyaten::mul.Tensor4
436Tensor<[1,784]>,
Tensor<[1,784]>,
ttnn.multiplyaten::mul.Tensor4
437Tensor<[784]>,
Tensor<[784]>,
ttnn.multiplyaten::mul.Tensor4

stablehlo.negate::ttnn.neg

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,64]>,
ttnn.negaten::neg5
1Tensor<[19]>,
ttnn.negaten::neg5
2Tensor<[1,71,7,32]>,
ttnn.negaten::neg5
3Tensor<[1,1,7,32]>,
ttnn.negaten::neg5

stablehlo.not::ttnn.not

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,23,40]>,
ttnn.notaten::bitwise_not5

stablehlo.power::ttnn.pow

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,4096]>,
Tensor<[1,32,4096]>,
ttnn.powaten::pow.Tensor_Scalar4
1Tensor<[1,7,3072]>,
Tensor<[1,7,3072]>,
ttnn.powaten::pow.Tensor_Scalar4
2Tensor<[128]>,
Tensor<[128]>,
ttnn.powaten::pow.Scalar4
3Tensor<[16]>,
Tensor<[16]>,
ttnn.powaten::pow.Tensor_Tensor4
4Tensor<[1,12,3072]>,
Tensor<[1,12,3072]>,
ttnn.powaten::pow.Tensor_Scalar4
5Tensor<[1,9,3072]>,
Tensor<[1,9,3072]>,
ttnn.powaten::pow.Tensor_Scalar4
6Tensor<[1,9,128]>,
Tensor<[1,9,128]>,
ttnn.powaten::pow.Tensor_Scalar4
7Tensor<[1,9,8192]>,
Tensor<[1,9,8192]>,
ttnn.powaten::pow.Tensor_Scalar4
8Tensor<[1,9,4096]>,
Tensor<[1,9,4096]>,
ttnn.powaten::pow.Tensor_Scalar4
9Tensor<[1,9,16384]>,
Tensor<[1,9,16384]>,
ttnn.powaten::pow.Tensor_Scalar4
10Tensor<[1,14,3072]>,
Tensor<[1,14,3072]>,
ttnn.powaten::pow.Tensor_Scalar4
11Tensor<[1,512]>,
Tensor<[1,512]>,
ttnn.powaten::pow.Tensor_Scalar4
12Tensor<[1,1]>,
Tensor<[1,1]>,
ttnn.powaten::pow.Tensor_Scalar4
13Tensor<[2,512]>,
Tensor<[2,512]>,
ttnn.powaten::pow.Tensor_Scalar4
14Tensor<[2,1]>,
Tensor<[2,1]>,
ttnn.powaten::pow.Tensor_Scalar4

stablehlo.reduce_stablehlo.add::ttnn.sum

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,32]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
1Tensor<[1,32,4096]>,
Scalar,
dim: [2]
ttnn.sumaten::mean.dim4
2Tensor<[1,12,7,7]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
3Tensor<[1,512,256]>,
Scalar,
dim: [2]
ttnn.sumaten::mean.dim4
4Tensor<[8,920,920]>,
Scalar,
dim: [2]
ttnn.sumaten::_softmax4
5Tensor<[8,100,100]>,
Scalar,
dim: [2]
ttnn.sumaten::_softmax4
6Tensor<[8,100,920]>,
Scalar,
dim: [2]
ttnn.sumaten::_softmax4
7Tensor<[1,12,10,10]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
8Tensor<[1,8,4096,4096]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
9Tensor<[1,8,4096,9]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
10Tensor<[1,8,1024,1024]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
11Tensor<[1,8,1024,9]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
12Tensor<[1,8,256,256]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
13Tensor<[1,8,256,9]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
14Tensor<[1,8,64,64]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
15Tensor<[1,8,64,9]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
16Tensor<[1,12,25,25]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
17Tensor<[1,3,1445,1445]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
18Tensor<[1,512,7,7]>,
Scalar,
dim: [2,
ttnn.sumaten::mean.dim4
19Tensor<[1,12,8,8]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
20Tensor<[1,8,256,2048]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
21Tensor<[1,8,2048,256]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
22Tensor<[1,2048,7,7]>,
Scalar,
dim: [2,
ttnn.sumaten::mean.dim4
23Tensor<[1,12,201,201]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
24Tensor<[1,12,16]>,
Scalar,
dim: [1]
ttnn.sumaten::sum.dim_IntList4
25Tensor<[1,12,16]>,
Scalar,
dim: [2]
ttnn.sumaten::sum.dim_IntList4
26Tensor<[1,10]>,
Scalar,
dim: [1]
ttnn.sumaten::sum.dim_IntList5
27Tensor<[16,19,19]>,
Scalar,
dim: [2]
ttnn.sumaten::_softmax4
28Tensor<[19]>,
Scalar,
dim: [0]
ttnn.sumaten::sum4
29Tensor<[19,256008]>,
Scalar,
dim: [1]
ttnn.sumaten::sum.dim_IntList5
30Tensor<[1,1024,7,7]>,
Scalar,
dim: [2,
ttnn.sumaten::mean.dim4
31Tensor<[1,16,32,32]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
32Tensor<[1,12,16,16]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
33Tensor<[1,1,19200,300]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
34Tensor<[1,2,4800,300]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
35Tensor<[1,5,1200,300]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
36Tensor<[1,8,300,300]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
37Tensor<[1,12,197,197]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
38Tensor<[1,1,16384,256]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
39Tensor<[1,2,4096,256]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
40Tensor<[1,5,1024,256]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
41Tensor<[1,71,7,7]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
42Tensor<[1,1280,7,7]>,
Scalar,
dim: [2,
ttnn.sumaten::mean.dim4
43Tensor<[1,12,12,12]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
44Tensor<[1,12,9,9]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
45Tensor<[1,16,9,9]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
46Tensor<[1,64,9,9]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
47Tensor<[1,12,14,14]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
48Tensor<[1,12,50,50]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
49Tensor<[2,8,7,7]>,
Scalar,
dim: [3]
ttnn.sumaten::_safe_softmax4
50Tensor<[1,512]>,
Scalar,
dim: [1]
ttnn.sumaten::sum.dim_IntList4
51Tensor<[2,512]>,
Scalar,
dim: [1]
ttnn.sumaten::sum.dim_IntList4
52Tensor<[1,16,197,197]>,
Scalar,
dim: [3]
ttnn.sumaten::_softmax4
53Tensor<[1,196,1024]>,
Scalar,
dim: [1]
ttnn.sumaten::mean.dim4
54Tensor<[196,196,2]>,
Scalar,
dim: [2]
ttnn.sumaten::sum.dim_IntList4
55Tensor<[1,196,768]>,
Scalar,
dim: [1]
ttnn.sumaten::mean.dim4

stablehlo.reduce_stablehlo.and::ttnn.?

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,32]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
1Tensor<[1,12,7,7]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
2Tensor<[1,12,10,10]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
3Tensor<[1,8,4096,4096]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
4Tensor<[1,8,4096,9]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
5Tensor<[1,8,1024,1024]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
6Tensor<[1,8,1024,9]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
7Tensor<[1,8,256,256]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
8Tensor<[1,8,256,9]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
9Tensor<[1,8,64,64]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
10Tensor<[1,8,64,9]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
11Tensor<[1,12,25,25]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
12Tensor<[1,3,1445,1445]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
13Tensor<[1,12,16,16]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
14Tensor<[1,12,197,197]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
15Tensor<[1,71,7,7]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
16Tensor<[1,12,12,12]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
17Tensor<[1,12,9,9]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
18Tensor<[1,16,9,9]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
19Tensor<[1,64,9,9]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
20Tensor<[1,12,14,14]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
21Tensor<[1,12,50,50]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4
22Tensor<[2,8,7,7]>,
Scalar,
dim: [3]
ttnn.?aten::_safe_softmax4

stablehlo.reduce_stablehlo.maximum::ttnn.max

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,32]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
1Tensor<[1,12,7,7]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
2Tensor<[8,920,920]>,
Scalar,
dim: [2]
ttnn.maxaten::_softmax4
3Tensor<[8,100,100]>,
Scalar,
dim: [2]
ttnn.maxaten::_softmax4
4Tensor<[8,100,920]>,
Scalar,
dim: [2]
ttnn.maxaten::_softmax4
5Tensor<[1,12,10,10]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
6Tensor<[1,8,4096,4096]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
7Tensor<[1,8,4096,9]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
8Tensor<[1,8,1024,1024]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
9Tensor<[1,8,1024,9]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
10Tensor<[1,8,256,256]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
11Tensor<[1,8,256,9]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
12Tensor<[1,8,64,64]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
13Tensor<[1,8,64,9]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
14Tensor<[1,12,25,25]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
15Tensor<[1,3,1445,1445]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
16Tensor<[1,12,8,8]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
17Tensor<[1,8,256,2048]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
18Tensor<[1,8,2048,256]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
19Tensor<[1,12,201,201]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
20Tensor<[1]>,
Scalar,
dim: [0]
ttnn.maxaten::max4
21Tensor<[1,10]>,
Scalar,
dim: [1]
ttnn.maxaten::amax5
22Tensor<[16,19,19]>,
Scalar,
dim: [2]
ttnn.maxaten::_softmax4
23Tensor<[19,256008]>,
Scalar,
dim: [1]
ttnn.maxaten::amax5
24Tensor<[1,16,32,32]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
25Tensor<[1,12,16,16]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
26Tensor<[1,1,19200,300]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
27Tensor<[1,2,4800,300]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
28Tensor<[1,5,1200,300]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
29Tensor<[1,8,300,300]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
30Tensor<[1,12,197,197]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
31Tensor<[1,1,16384,256]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
32Tensor<[1,2,4096,256]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
33Tensor<[1,5,1024,256]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4
34Tensor<[1,71,7,7]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
35Tensor<[1,12,12,12]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
36Tensor<[1,12,9,9]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
37Tensor<[1,16,9,9]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
38Tensor<[1,64,9,9]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
39Tensor<[1,12,14,14]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
40Tensor<[1,12,50,50]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
41Tensor<[2,8,7,7]>,
Scalar,
dim: [3]
ttnn.maxaten::_safe_softmax4
42Tensor<[1,16,197,197]>,
Scalar,
dim: [3]
ttnn.maxaten::_softmax4

stablehlo.reduce_window_stablehlo.add::ttnn.avg_pool2d

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,23,40]>,
Scalar,
ttnn.avg_pool2daten::cumsum4
1Tensor<[1,10]>,
Scalar,
ttnn.avg_pool2daten::cumsum4
2Tensor<[1,32]>,
Scalar,
ttnn.avg_pool2daten::cumsum4

stablehlo.remainder::ttnn.remainder

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1]>,
Tensor<[1]>,
ttnn.remainderaten::remainder.Scalar4

stablehlo.reshape::ttnn.reshape

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32]>,
Tensor<[1,32,32,1]>,
ttnn.reshapeaten::_safe_softmax4
1Tensor<[1]>,
Scalar,
ttnn.reshapeaten::_safe_softmax4
2Tensor<[1,64,32]>,
Tensor<[1,64,32]>,
ttnn.reshapeaten::_unsafe_view5
3Tensor<[32,4096]>,
Tensor<[1,32,4096]>,
ttnn.reshapeaten::_unsafe_view5
4Tensor<[32,11008]>,
Tensor<[1,32,11008]>,
ttnn.reshapeaten::_unsafe_view5
5Tensor<[32,32000]>,
Tensor<[1,32,32000]>,
ttnn.reshapeaten::_unsafe_view5
6Scalar,
Tensor<[1]>,
ttnn.reshapeaten::arange4
7Tensor<[1,32]>,
Tensor<[1,32,1]>,
ttnn.reshapeaten::mean.dim4
8Tensor<[32]>,
Tensor<[32,1]>,
ttnn.reshapeaten::triu4
9Tensor<[32]>,
Tensor<[1,32]>,
ttnn.reshapeaten::triu4
10Tensor<[32,32]>,
Tensor<[1,32,32]>,
ttnn.reshapeaten::unsqueeze5
11Tensor<[1,32,32]>,
Tensor<[1,1,32,32]>,
ttnn.reshapeaten::unsqueeze5
12Tensor<[1,32]>,
Tensor<[1,1,32]>,
ttnn.reshapeaten::unsqueeze4
13Tensor<[1,1,32]>,
Tensor<[1,1,1,32]>,
ttnn.reshapeaten::unsqueeze4
14Tensor<[64]>,
Tensor<[1,64]>,
ttnn.reshapeaten::unsqueeze5
15Tensor<[1,64]>,
Tensor<[1,64,1]>,
ttnn.reshapeaten::unsqueeze5
16Tensor<[1,32,128]>,
Tensor<[1,1,32,128]>,
ttnn.reshapeaten::unsqueeze5
17Tensor<[1,64,1]>,
Tensor<[1,64,1]>,
ttnn.reshapeaten::view5
18Tensor<[1,1,32]>,
Tensor<[1,1,32]>,
ttnn.reshapeaten::view5
19Tensor<[1,32,4096]>,
Tensor<[32,4096]>,
ttnn.reshapeaten::view5
20Tensor<[1,32,4096]>,
Tensor<[1,32,32,128]>,
ttnn.reshapeaten::view5
21Tensor<[1,32,32,128]>,
Tensor<[32,32,128]>,
ttnn.reshapeaten::view5
22Tensor<[1,32,128,32]>,
Tensor<[32,128,32]>,
ttnn.reshapeaten::view5
23Tensor<[32,32,32]>,
Tensor<[1,32,32,32]>,
ttnn.reshapeaten::view5
24Tensor<[1,32,32,32]>,
Tensor<[32,32,32]>,
ttnn.reshapeaten::view5
25Tensor<[32,32,128]>,
Tensor<[1,32,32,128]>,
ttnn.reshapeaten::view5
26Tensor<[1,32,32,128]>,
Tensor<[1,32,4096]>,
ttnn.reshapeaten::view5
27Tensor<[1,32,11008]>,
Tensor<[32,11008]>,
ttnn.reshapeaten::view5
28Tensor<[1,12,7]>,
Tensor<[1,12,7,1]>,
ttnn.reshapeaten::_safe_softmax4
29Tensor<[7,2]>,
Tensor<[1,7,2]>,
ttnn.reshapeaten::_unsafe_view5
30Tensor<[1]>,
Tensor<[1,1]>,
ttnn.reshapeaten::index.Tensor4
31Tensor<[7]>,
Tensor<[1,7]>,
ttnn.reshapeaten::unsqueeze4
32Tensor<[7,7]>,
Tensor<[1,7,7]>,
ttnn.reshapeaten::unsqueeze5
33Tensor<[1,7,7]>,
Tensor<[1,1,7,7]>,
ttnn.reshapeaten::unsqueeze5
34Tensor<[1,7]>,
Tensor<[1,1,7]>,
ttnn.reshapeaten::unsqueeze4
35Tensor<[1,1,7]>,
Tensor<[1,1,1,7]>,
ttnn.reshapeaten::unsqueeze4
36Tensor<[1,7]>,
Tensor<[1,7]>,
ttnn.reshapeaten::view4
37Tensor<[7]>,
Tensor<[7,1]>,
ttnn.reshapeaten::view4
38Tensor<[1,7,768]>,
Tensor<[7,768]>,
ttnn.reshapeaten::view5
39Tensor<[7,2304]>,
Tensor<[1,7,2304]>,
ttnn.reshapeaten::view5
40Tensor<[1,7,768]>,
Tensor<[1,7,12,64]>,
ttnn.reshapeaten::view5
41Tensor<[1,12,7,64]>,
Tensor<[12,7,64]>,
ttnn.reshapeaten::view5
42Tensor<[1,12,64,7]>,
Tensor<[12,64,7]>,
ttnn.reshapeaten::view5
43Tensor<[12,7,7]>,
Tensor<[1,12,7,7]>,
ttnn.reshapeaten::view5
44Tensor<[1,12,7,7]>,
Tensor<[12,7,7]>,
ttnn.reshapeaten::view5
45Tensor<[12,7,64]>,
Tensor<[1,12,7,64]>,
ttnn.reshapeaten::view5
46Tensor<[1,7,12,64]>,
Tensor<[1,7,768]>,
ttnn.reshapeaten::view5
47Tensor<[7,768]>,
Tensor<[1,7,768]>,
ttnn.reshapeaten::view5
48Tensor<[7,3072]>,
Tensor<[1,7,3072]>,
ttnn.reshapeaten::view5
49Tensor<[1,7,3072]>,
Tensor<[7,3072]>,
ttnn.reshapeaten::view5
50Tensor<[1,7,768]>,
Tensor<[1,7,768]>,
ttnn.reshapeaten::view5
51Tensor<[128]>,
Tensor<[128,1,1]>,
ttnn.reshapeaten::convolution4
52Tensor<[512]>,
Tensor<[512,1,1]>,
ttnn.reshapeaten::convolution4
53Tensor<[19]>,
Tensor<[19,1,1]>,
ttnn.reshapeaten::convolution4
54Tensor<[38]>,
Tensor<[38,1,1]>,
ttnn.reshapeaten::convolution4
55Tensor<[32,1]>,
Tensor<[32,1,1]>,
ttnn.reshapeaten::unsqueeze5
56Tensor<[64]>,
Tensor<[64,1]>,
ttnn.reshapeaten::unsqueeze5
57Tensor<[64,1]>,
Tensor<[64,1,1]>,
ttnn.reshapeaten::unsqueeze5
58Tensor<[128]>,
Tensor<[128,1]>,
ttnn.reshapeaten::unsqueeze5
59Tensor<[128,1]>,
Tensor<[128,1,1]>,
ttnn.reshapeaten::unsqueeze5
60Tensor<[256]>,
Tensor<[256,1]>,
ttnn.reshapeaten::unsqueeze5
61Tensor<[256,1]>,
Tensor<[256,1,1]>,
ttnn.reshapeaten::unsqueeze5
62Tensor<[512]>,
Tensor<[512,1]>,
ttnn.reshapeaten::unsqueeze5
63Tensor<[512,1]>,
Tensor<[512,1,1]>,
ttnn.reshapeaten::unsqueeze5
64Tensor<[1,16,16,16,16,3]>,
Tensor<[1,256,768]>,
ttnn.reshapeaten::_unsafe_view5
65Tensor<[1024]>,
Tensor<[1024,1]>,
ttnn.reshapeaten::convolution4
66Tensor<[1,3,256,256]>,
Tensor<[1,3,16,16,16,16]>,
ttnn.reshapeaten::view4
67Tensor<[1,256,768]>,
Tensor<[256,768]>,
ttnn.reshapeaten::view5
68Tensor<[256,512]>,
Tensor<[1,256,512]>,
ttnn.reshapeaten::view5
69Tensor<[1,256,512]>,
Tensor<[256,512]>,
ttnn.reshapeaten::view5
70Tensor<[256,256]>,
Tensor<[1,256,256]>,
ttnn.reshapeaten::view5
71Tensor<[1,256,256]>,
Tensor<[256,256]>,
ttnn.reshapeaten::view5
72Tensor<[8,920]>,
Tensor<[8,920,1]>,
ttnn.reshapeaten::_softmax4
73Tensor<[8,100]>,
Tensor<[8,100,1]>,
ttnn.reshapeaten::_softmax4
74Tensor<[920,1,256]>,
Tensor<[920,1,256]>,
ttnn.reshapeaten::_unsafe_view5
75Tensor<[6,100,92]>,
Tensor<[6,1,100,92]>,
ttnn.reshapeaten::_unsafe_view5
76Tensor<[6,1,100,92]>,
Tensor<[6,100,92]>,
ttnn.reshapeaten::_unsafe_view5
77Tensor<[6,100,256]>,
Tensor<[6,1,100,256]>,
ttnn.reshapeaten::_unsafe_view5
78Tensor<[6,1,100,256]>,
Tensor<[6,100,256]>,
ttnn.reshapeaten::_unsafe_view5
79Tensor<[600,256]>,
Tensor<[6,1,100,256]>,
ttnn.reshapeaten::_unsafe_view5
80Tensor<[6,1,100,256]>,
Tensor<[600,256]>,
ttnn.reshapeaten::_unsafe_view5
81Tensor<[600,4]>,
Tensor<[6,1,100,4]>,
ttnn.reshapeaten::_unsafe_view5
82Tensor<[6,1,100,4]>,
Tensor<[600,4]>,
ttnn.reshapeaten::_unsafe_view5
83Tensor<[256]>,
Tensor<[256,1,1]>,
ttnn.reshapeaten::convolution4
84Tensor<[1,1]>,
Tensor<[1,1,1]>,
ttnn.reshapeaten::index.Tensor4
85Tensor<[1,1,1]>,
Tensor<[1,1,1,1]>,
ttnn.reshapeaten::index.Tensor4
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ttnn.reshapeaten::unsqueeze5
735Tensor<[144,1]>,
Tensor<[144,1,1]>,
ttnn.reshapeaten::unsqueeze5
736Tensor<[192]>,
Tensor<[192,1]>,
ttnn.reshapeaten::unsqueeze5
737Tensor<[192,1]>,
Tensor<[192,1,1]>,
ttnn.reshapeaten::unsqueeze5
738Tensor<[384]>,
Tensor<[384,1]>,
ttnn.reshapeaten::unsqueeze5
739Tensor<[384,1]>,
Tensor<[384,1,1]>,
ttnn.reshapeaten::unsqueeze5
740Tensor<[576]>,
Tensor<[576,1]>,
ttnn.reshapeaten::unsqueeze5
741Tensor<[576,1]>,
Tensor<[576,1,1]>,
ttnn.reshapeaten::unsqueeze5
742Tensor<[960]>,
Tensor<[960,1]>,
ttnn.reshapeaten::unsqueeze5
743Tensor<[960,1]>,
Tensor<[960,1,1]>,
ttnn.reshapeaten::unsqueeze5
744Tensor<[1,1280,1,1]>,
Tensor<[1,1280]>,
ttnn.reshapeaten::view5
745Tensor<[1,12,12]>,
Tensor<[1,12,12,1]>,
ttnn.reshapeaten::_safe_softmax4
746Tensor<[1,12]>,
Tensor<[1,1,12]>,
ttnn.reshapeaten::unsqueeze4
747Tensor<[1,1,12]>,
Tensor<[1,1,1,12]>,
ttnn.reshapeaten::unsqueeze4
748Tensor<[1,12,128]>,
Tensor<[12,128]>,
ttnn.reshapeaten::view5
749Tensor<[12,768]>,
Tensor<[1,12,768]>,
ttnn.reshapeaten::view5
750Tensor<[1,12,768]>,
Tensor<[12,768]>,
ttnn.reshapeaten::view5
751Tensor<[1,12,768]>,
Tensor<[1,12,12,64]>,
ttnn.reshapeaten::view5
752Tensor<[1,12,12,64]>,
Tensor<[12,12,64]>,
ttnn.reshapeaten::view5
753Tensor<[1,12,64,12]>,
Tensor<[12,64,12]>,
ttnn.reshapeaten::view5
754Tensor<[12,12,12]>,
Tensor<[1,12,12,12]>,
ttnn.reshapeaten::view5
755Tensor<[1,12,12,12]>,
Tensor<[12,12,12]>,
ttnn.reshapeaten::view5
756Tensor<[12,12,64]>,
Tensor<[1,12,12,64]>,
ttnn.reshapeaten::view5
757Tensor<[1,12,12,64]>,
Tensor<[1,12,768]>,
ttnn.reshapeaten::view5
758Tensor<[12,3072]>,
Tensor<[1,12,3072]>,
ttnn.reshapeaten::view5
759Tensor<[1,12,3072]>,
Tensor<[12,3072]>,
ttnn.reshapeaten::view5
760Tensor<[12,2]>,
Tensor<[1,12,2]>,
ttnn.reshapeaten::view5
761Tensor<[1,12,9]>,
Tensor<[1,12,9,1]>,
ttnn.reshapeaten::_safe_softmax4
762Tensor<[1,9]>,
Tensor<[1,1,9]>,
ttnn.reshapeaten::unsqueeze4
763Tensor<[1,1,9]>,
Tensor<[1,1,1,9]>,
ttnn.reshapeaten::unsqueeze4
764Tensor<[1,9,128]>,
Tensor<[9,128]>,
ttnn.reshapeaten::view5
765Tensor<[9,768]>,
Tensor<[1,9,768]>,
ttnn.reshapeaten::view5
766Tensor<[1,9,768]>,
Tensor<[1,9,12,64]>,
ttnn.reshapeaten::view5
767Tensor<[1,12,9,64]>,
Tensor<[12,9,64]>,
ttnn.reshapeaten::view5
768Tensor<[1,12,64,9]>,
Tensor<[12,64,9]>,
ttnn.reshapeaten::view5
769Tensor<[12,9,9]>,
Tensor<[1,12,9,9]>,
ttnn.reshapeaten::view5
770Tensor<[1,12,9,9]>,
Tensor<[12,9,9]>,
ttnn.reshapeaten::view5
771Tensor<[12,9,64]>,
Tensor<[1,12,9,64]>,
ttnn.reshapeaten::view5
772Tensor<[1,9,12,64]>,
Tensor<[1,9,768]>,
ttnn.reshapeaten::view5
773Tensor<[9,3072]>,
Tensor<[1,9,3072]>,
ttnn.reshapeaten::view5
774Tensor<[1,9,3072]>,
Tensor<[9,3072]>,
ttnn.reshapeaten::view5
775Tensor<[9,128]>,
Tensor<[1,9,128]>,
ttnn.reshapeaten::view5
776Tensor<[9,30000]>,
Tensor<[1,9,30000]>,
ttnn.reshapeaten::view5
777Tensor<[1,16,9]>,
Tensor<[1,16,9,1]>,
ttnn.reshapeaten::_safe_softmax4
778Tensor<[9,2048]>,
Tensor<[1,9,2048]>,
ttnn.reshapeaten::view5
779Tensor<[1,9,2048]>,
Tensor<[9,2048]>,
ttnn.reshapeaten::view5
780Tensor<[1,9,2048]>,
Tensor<[1,9,16,128]>,
ttnn.reshapeaten::view5
781Tensor<[1,16,9,128]>,
Tensor<[16,9,128]>,
ttnn.reshapeaten::view5
782Tensor<[1,16,128,9]>,
Tensor<[16,128,9]>,
ttnn.reshapeaten::view5
783Tensor<[16,9,9]>,
Tensor<[1,16,9,9]>,
ttnn.reshapeaten::view5
784Tensor<[1,16,9,9]>,
Tensor<[16,9,9]>,
ttnn.reshapeaten::view5
785Tensor<[16,9,128]>,
Tensor<[1,16,9,128]>,
ttnn.reshapeaten::view5
786Tensor<[1,9,16,128]>,
Tensor<[1,9,2048]>,
ttnn.reshapeaten::view5
787Tensor<[9,8192]>,
Tensor<[1,9,8192]>,
ttnn.reshapeaten::view5
788Tensor<[1,9,8192]>,
Tensor<[9,8192]>,
ttnn.reshapeaten::view5
789Tensor<[9,1024]>,
Tensor<[1,9,1024]>,
ttnn.reshapeaten::view5
790Tensor<[1,9,1024]>,
Tensor<[9,1024]>,
ttnn.reshapeaten::view5
791Tensor<[1,9,1024]>,
Tensor<[1,9,16,64]>,
ttnn.reshapeaten::view5
792Tensor<[1,16,9,64]>,
Tensor<[16,9,64]>,
ttnn.reshapeaten::view5
793Tensor<[1,16,64,9]>,
Tensor<[16,64,9]>,
ttnn.reshapeaten::view5
794Tensor<[16,9,64]>,
Tensor<[1,16,9,64]>,
ttnn.reshapeaten::view5
795Tensor<[1,9,16,64]>,
Tensor<[1,9,1024]>,
ttnn.reshapeaten::view5
796Tensor<[9,4096]>,
Tensor<[1,9,4096]>,
ttnn.reshapeaten::view5
797Tensor<[1,9,4096]>,
Tensor<[9,4096]>,
ttnn.reshapeaten::view5
798Tensor<[1,64,9]>,
Tensor<[1,64,9,1]>,
ttnn.reshapeaten::_safe_softmax4
799Tensor<[1,9,4096]>,
Tensor<[1,9,64,64]>,
ttnn.reshapeaten::view5
800Tensor<[1,64,9,64]>,
Tensor<[64,9,64]>,
ttnn.reshapeaten::view5
801Tensor<[1,64,64,9]>,
Tensor<[64,64,9]>,
ttnn.reshapeaten::view5
802Tensor<[64,9,9]>,
Tensor<[1,64,9,9]>,
ttnn.reshapeaten::view5
803Tensor<[1,64,9,9]>,
Tensor<[64,9,9]>,
ttnn.reshapeaten::view5
804Tensor<[64,9,64]>,
Tensor<[1,64,9,64]>,
ttnn.reshapeaten::view5
805Tensor<[1,9,64,64]>,
Tensor<[1,9,4096]>,
ttnn.reshapeaten::view5
806Tensor<[9,16384]>,
Tensor<[1,9,16384]>,
ttnn.reshapeaten::view5
807Tensor<[1,9,16384]>,
Tensor<[9,16384]>,
ttnn.reshapeaten::view5
808Tensor<[1,12,14]>,
Tensor<[1,12,14,1]>,
ttnn.reshapeaten::_safe_softmax4
809Tensor<[1,14,1]>,
Tensor<[1,14]>,
ttnn.reshapeaten::squeeze.dim5
810Tensor<[1,14]>,
Tensor<[1,1,14]>,
ttnn.reshapeaten::unsqueeze4
811Tensor<[1,1,14]>,
Tensor<[1,1,1,14]>,
ttnn.reshapeaten::unsqueeze4
812Tensor<[1,14,128]>,
Tensor<[14,128]>,
ttnn.reshapeaten::view5
813Tensor<[14,768]>,
Tensor<[1,14,768]>,
ttnn.reshapeaten::view5
814Tensor<[1,14,768]>,
Tensor<[14,768]>,
ttnn.reshapeaten::view5
815Tensor<[1,14,768]>,
Tensor<[1,14,12,64]>,
ttnn.reshapeaten::view5
816Tensor<[1,12,14,64]>,
Tensor<[12,14,64]>,
ttnn.reshapeaten::view5
817Tensor<[1,12,64,14]>,
Tensor<[12,64,14]>,
ttnn.reshapeaten::view5
818Tensor<[12,14,14]>,
Tensor<[1,12,14,14]>,
ttnn.reshapeaten::view5
819Tensor<[1,12,14,14]>,
Tensor<[12,14,14]>,
ttnn.reshapeaten::view5
820Tensor<[12,14,64]>,
Tensor<[1,12,14,64]>,
ttnn.reshapeaten::view5
821Tensor<[1,14,12,64]>,
Tensor<[1,14,768]>,
ttnn.reshapeaten::view5
822Tensor<[14,3072]>,
Tensor<[1,14,3072]>,
ttnn.reshapeaten::view5
823Tensor<[1,14,3072]>,
Tensor<[14,3072]>,
ttnn.reshapeaten::view5
824Tensor<[14,2]>,
Tensor<[1,14,2]>,
ttnn.reshapeaten::view5
825Tensor<[1,12,50]>,
Tensor<[1,12,50,1]>,
ttnn.reshapeaten::_safe_softmax4
826Tensor<[2,8,7]>,
Tensor<[2,8,7,1]>,
ttnn.reshapeaten::_safe_softmax4
827Tensor<[2,8,7,64]>,
Tensor<[16,7,64]>,
ttnn.reshapeaten::_unsafe_view5
828Tensor<[2,8,64,7]>,
Tensor<[16,64,7]>,
ttnn.reshapeaten::_unsafe_view5
829Tensor<[2]>,
Tensor<[2,1]>,
ttnn.reshapeaten::index.Tensor4
830Tensor<[2,7]>,
Tensor<[2,1,7]>,
ttnn.reshapeaten::unsqueeze4
831Tensor<[2,1,7]>,
Tensor<[2,1,1,7]>,
ttnn.reshapeaten::unsqueeze4
832Tensor<[1,768,7,7]>,
Tensor<[1,768,49]>,
ttnn.reshapeaten::view5
833Tensor<[1,50,768]>,
Tensor<[50,768]>,
ttnn.reshapeaten::view5
834Tensor<[50,768]>,
Tensor<[1,50,768]>,
ttnn.reshapeaten::view5
835Tensor<[1,50,768]>,
Tensor<[1,50,12,64]>,
ttnn.reshapeaten::view5
836Tensor<[1,12,50,64]>,
Tensor<[12,50,64]>,
ttnn.reshapeaten::view5
837Tensor<[1,12,64,50]>,
Tensor<[12,64,50]>,
ttnn.reshapeaten::view5
838Tensor<[12,50,50]>,
Tensor<[1,12,50,50]>,
ttnn.reshapeaten::view5
839Tensor<[1,12,50,50]>,
Tensor<[12,50,50]>,
ttnn.reshapeaten::view5
840Tensor<[12,50,64]>,
Tensor<[1,12,50,64]>,
ttnn.reshapeaten::view5
841Tensor<[1,50,12,64]>,
Tensor<[1,50,768]>,
ttnn.reshapeaten::view5
842Tensor<[50,3072]>,
Tensor<[1,50,3072]>,
ttnn.reshapeaten::view5
843Tensor<[1,50,3072]>,
Tensor<[50,3072]>,
ttnn.reshapeaten::view5
844Tensor<[2,7]>,
Tensor<[2,7]>,
ttnn.reshapeaten::view4
845Tensor<[2,7,512]>,
Tensor<[14,512]>,
ttnn.reshapeaten::view5
846Tensor<[14,512]>,
Tensor<[2,7,512]>,
ttnn.reshapeaten::view5
847Tensor<[2,7,512]>,
Tensor<[2,7,8,64]>,
ttnn.reshapeaten::view5
848Tensor<[16,7,7]>,
Tensor<[2,8,7,7]>,
ttnn.reshapeaten::view5
849Tensor<[2,8,7,7]>,
Tensor<[16,7,7]>,
ttnn.reshapeaten::view5
850Tensor<[16,7,64]>,
Tensor<[2,8,7,64]>,
ttnn.reshapeaten::view5
851Tensor<[2,7,8,64]>,
Tensor<[2,7,512]>,
ttnn.reshapeaten::view5
852Tensor<[14,2048]>,
Tensor<[2,7,2048]>,
ttnn.reshapeaten::view5
853Tensor<[2,7,2048]>,
Tensor<[14,2048]>,
ttnn.reshapeaten::view5
854Tensor<[1,16,197]>,
Tensor<[1,16,197,1]>,
ttnn.reshapeaten::_softmax4
855Tensor<[197,1024]>,
Tensor<[1,197,1024]>,
ttnn.reshapeaten::_unsafe_view5
856Tensor<[16,197,197]>,
Tensor<[1,16,197,197]>,
ttnn.reshapeaten::_unsafe_view5
857Tensor<[16,197,64]>,
Tensor<[1,16,197,64]>,
ttnn.reshapeaten::_unsafe_view5
858Tensor<[1,16,27,27]>,
Tensor<[1,16,27,27,1]>,
ttnn.reshapeaten::index.Tensor4
859Tensor<[38809]>,
Tensor<[38809,1]>,
ttnn.reshapeaten::index.Tensor4
860Tensor<[196,196,1]>,
Tensor<[196,196]>,
ttnn.reshapeaten::select.int4
861Tensor<[1,197]>,
Tensor<[197]>,
ttnn.reshapeaten::select.int4
862Tensor<[197,1]>,
Tensor<[197]>,
ttnn.reshapeaten::select.int4
863Tensor<[196,196]>,
Tensor<[196,196,1]>,
ttnn.reshapeaten::select_scatter4
864Tensor<[197]>,
Tensor<[1,197]>,
ttnn.reshapeaten::select_scatter4
865Tensor<[197]>,
Tensor<[197,1]>,
ttnn.reshapeaten::select_scatter4
866Tensor<[14,14]>,
Tensor<[1,14,14]>,
ttnn.reshapeaten::stack4
867Tensor<[2,196]>,
Tensor<[2,196,1]>,
ttnn.reshapeaten::unsqueeze4
868Tensor<[2,196]>,
Tensor<[2,1,196]>,
ttnn.reshapeaten::unsqueeze4
869Tensor<[1,1024,14,14]>,
Tensor<[1,1024,196]>,
ttnn.reshapeaten::view5
870Tensor<[1,197,1024]>,
Tensor<[197,1024]>,
ttnn.reshapeaten::view5
871Tensor<[1,197,1024]>,
Tensor<[1,197,16,64]>,
ttnn.reshapeaten::view5
872Tensor<[1,16,197,64]>,
Tensor<[16,197,64]>,
ttnn.reshapeaten::view5
873Tensor<[1,16,64,197]>,
Tensor<[16,64,197]>,
ttnn.reshapeaten::view5
874Tensor<[729,16]>,
Tensor<[1,27,27,16]>,
ttnn.reshapeaten::view5
875Tensor<[27]>,
Tensor<[27,1]>,
ttnn.reshapeaten::view5
876Tensor<[1,27,27,16]>,
Tensor<[729,16]>,
ttnn.reshapeaten::view5
877Tensor<[14]>,
Tensor<[1,14]>,
ttnn.reshapeaten::view4
878Tensor<[2,14,14]>,
Tensor<[2,196]>,
ttnn.reshapeaten::view4
879Tensor<[197,197]>,
Tensor<[38809]>,
ttnn.reshapeaten::view4
880Tensor<[38809,16]>,
Tensor<[197,197,16]>,
ttnn.reshapeaten::view5
881Tensor<[1,16,197,197]>,
Tensor<[16,197,197]>,
ttnn.reshapeaten::view5
882Tensor<[1,197,16,64]>,
Tensor<[1,197,1024]>,
ttnn.reshapeaten::view5
883Tensor<[197,4096]>,
Tensor<[1,197,4096]>,
ttnn.reshapeaten::view5
884Tensor<[1,197,4096]>,
Tensor<[197,4096]>,
ttnn.reshapeaten::view5
885Tensor<[12,1]>,
Tensor<[12,1,1]>,
ttnn.reshapeaten::index.Tensor4
886Tensor<[1,12,27,27]>,
Tensor<[1,12,27,27,1]>,
ttnn.reshapeaten::index.Tensor4
887Tensor<[729,12]>,
Tensor<[1,27,27,12]>,
ttnn.reshapeaten::view5
888Tensor<[1,27,27,12]>,
Tensor<[729,12]>,
ttnn.reshapeaten::view5
889Tensor<[38809,12]>,
Tensor<[197,197,12]>,
ttnn.reshapeaten::view5

stablehlo.reverse::ttnn.?

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[2,2,256,512]>,
dims: [0, 1]
ttnn.?aten::convolution4
1Tensor<[2,2,128,256]>,
dims: [0, 1]
ttnn.?aten::convolution4
2Tensor<[2,2,64,128]>,
dims: [0, 1]
ttnn.?aten::convolution4
3Tensor<[2,2,32,64]>,
dims: [0, 1]
ttnn.?aten::convolution4
4Tensor<[2,2,16,4]>,
dims: [0, 1]
ttnn.?aten::convolution4
5Tensor<[2,2,1,16]>,
dims: [0, 1]
ttnn.?aten::convolution4
6Tensor<[2,2,512,1024]>,
dims: [0, 1]
ttnn.?aten::convolution4

stablehlo.rng

STABLE HLO Input Variationsttnn opTorch NameStatus
0Scalar,
Scalar,
Tensor<[3]>,
distribution: UNIFORM
aten::rand4

stablehlo.rsqrt::ttnn.rsqrt

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,1]>,
ttnn.rsqrtaten::rsqrt5
1Tensor<[1,7,1]>,
ttnn.rsqrtaten::rsqrt5
2Tensor<[1,1024,512]>,
ttnn.rsqrtaten::gelu4
3Tensor<[1,256,256]>,
ttnn.rsqrtaten::gelu4
4Tensor<[1,256,1]>,
ttnn.rsqrtaten::rsqrt5
5Tensor<[1,64,1,1]>,
ttnn.rsqrtaten::rsqrt5
6Tensor<[1,256,1,1]>,
ttnn.rsqrtaten::rsqrt5
7Tensor<[1,128,1,1]>,
ttnn.rsqrtaten::rsqrt5
8Tensor<[1,512,1,1]>,
ttnn.rsqrtaten::rsqrt5
9Tensor<[1,1024,1,1]>,
ttnn.rsqrtaten::rsqrt5
10Tensor<[1,2048,1,1]>,
ttnn.rsqrtaten::rsqrt5
11Tensor<[920,1,1]>,
ttnn.rsqrtaten::rsqrt5
12Tensor<[100,1,1]>,
ttnn.rsqrtaten::rsqrt5
13Tensor<[1,10,3072]>,
ttnn.rsqrtaten::gelu4
14Tensor<[1,10,768]>,
ttnn.rsqrtaten::gelu4
15Tensor<[1,10,1]>,
ttnn.rsqrtaten::rsqrt5
16Tensor<[1,4096,1280]>,
ttnn.rsqrtaten::gelu4
17Tensor<[1,1024,2560]>,
ttnn.rsqrtaten::gelu4
18Tensor<[1,256,5120]>,
ttnn.rsqrtaten::gelu4
19Tensor<[1,64,5120]>,
ttnn.rsqrtaten::gelu4
20Tensor<[1,32,1,1]>,
ttnn.rsqrtaten::rsqrt5
21Tensor<[1,4096,1]>,
ttnn.rsqrtaten::rsqrt5
22Tensor<[1,1024,1]>,
ttnn.rsqrtaten::rsqrt5
23Tensor<[1,64,1]>,
ttnn.rsqrtaten::rsqrt5
24Tensor<[1,25,3072]>,
ttnn.rsqrtaten::gelu4
25Tensor<[1,25,1]>,
ttnn.rsqrtaten::rsqrt5
26Tensor<[1,1445,768]>,
ttnn.rsqrtaten::gelu4
27Tensor<[1,1445,1]>,
ttnn.rsqrtaten::rsqrt5
28Tensor<[1,3072,8]>,
ttnn.rsqrtaten::gelu4
29Tensor<[1,8,1]>,
ttnn.rsqrtaten::rsqrt5
30Tensor<[1,256,1280]>,
ttnn.rsqrtaten::gelu4
31Tensor<[1,2048,768]>,
ttnn.rsqrtaten::gelu4
32Tensor<[1,2048,1]>,
ttnn.rsqrtaten::rsqrt5
33Tensor<[1,201,3072]>,
ttnn.rsqrtaten::gelu4
34Tensor<[1,1536]>,
ttnn.rsqrtaten::gelu4
35Tensor<[1,201,1]>,
ttnn.rsqrtaten::rsqrt5
36Tensor<[1,1]>,
ttnn.rsqrtaten::rsqrt5
37Tensor<[1,19,4096]>,
ttnn.rsqrtaten::gelu4
38Tensor<[1,19,1]>,
ttnn.rsqrtaten::rsqrt5
39Tensor<[1,16,3072]>,
ttnn.rsqrtaten::gelu4
40Tensor<[1,16,1]>,
ttnn.rsqrtaten::rsqrt5
41Tensor<[1,19200,256]>,
ttnn.rsqrtaten::gelu4
42Tensor<[1,4800,512]>,
ttnn.rsqrtaten::gelu4
43Tensor<[1,1200,1280]>,
ttnn.rsqrtaten::gelu4
44Tensor<[1,300,2048]>,
ttnn.rsqrtaten::gelu4
45Tensor<[1,19200,1]>,
ttnn.rsqrtaten::rsqrt5
46Tensor<[1,300,1]>,
ttnn.rsqrtaten::rsqrt5
47Tensor<[1,4800,1]>,
ttnn.rsqrtaten::rsqrt5
48Tensor<[1,1200,1]>,
ttnn.rsqrtaten::rsqrt5
49Tensor<[1,197,3072]>,
ttnn.rsqrtaten::gelu4
50Tensor<[1,197,1]>,
ttnn.rsqrtaten::rsqrt5
51Tensor<[1,16384,128]>,
ttnn.rsqrtaten::gelu4
52Tensor<[1,4096,256]>,
ttnn.rsqrtaten::gelu4
53Tensor<[1,1024,640]>,
ttnn.rsqrtaten::gelu4
54Tensor<[1,256,1024]>,
ttnn.rsqrtaten::gelu4
55Tensor<[1,16384,1]>,
ttnn.rsqrtaten::rsqrt5
56Tensor<[1,7,18176]>,
ttnn.rsqrtaten::gelu4
57Tensor<[1,12,1]>,
ttnn.rsqrtaten::rsqrt5
58Tensor<[1,9,1]>,
ttnn.rsqrtaten::rsqrt5
59Tensor<[1,14,1]>,
ttnn.rsqrtaten::rsqrt5
60Tensor<[1,50,1]>,
ttnn.rsqrtaten::rsqrt5
61Tensor<[2,7,1]>,
ttnn.rsqrtaten::rsqrt5
62Tensor<[1,197,4096]>,
ttnn.rsqrtaten::gelu4

stablehlo.scatter::ttnn.scatter

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,3,720,1280]>,
Tensor<[1,1]>,
Tensor<[1,3,720,1280]>,
update_window_dims: [1, 2, 3]
inserted_window_dims: [0]
scatter_dims_to_operand_dims: [0]
index_vector_dim: 1>
ttnn.scatteraten::select_scatter4
1Tensor<[1,720,1280]>,
Tensor<[1,1]>,
Tensor<[1,720,1280]>,
update_window_dims: [1, 2]
inserted_window_dims: [0]
scatter_dims_to_operand_dims: [0]
index_vector_dim: 1>
ttnn.scatteraten::select_scatter4
2Tensor<[196,196,2]>,
Tensor<[1,1]>,
Tensor<[196,196,1]>,
update_window_dims: [0, 1]
inserted_window_dims: [2]
scatter_dims_to_operand_dims: [2]
index_vector_dim: 1>
ttnn.scatteraten::select_scatter4
3Tensor<[197,197]>,
Tensor<[1,1]>,
Tensor<[1,197]>,
update_window_dims: [1]
inserted_window_dims: [0]
scatter_dims_to_operand_dims: [0]
index_vector_dim: 1>
ttnn.scatteraten::select_scatter4
4Tensor<[197,197]>,
Tensor<[1,1]>,
Tensor<[197,1]>,
update_window_dims: [0]
inserted_window_dims: [1]
scatter_dims_to_operand_dims: [1]
index_vector_dim: 1>
ttnn.scatteraten::select_scatter4
5Tensor<[197]>,
Tensor<[1,1]>,
Tensor<[1]>,
inserted_window_dims: [0]
scatter_dims_to_operand_dims: [0]
index_vector_dim: 1>
ttnn.scatteraten::select_scatter4

stablehlo.select::ttnn.where

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,32]>,
Tensor<[1,32,32,32]>,
ttnn.whereaten::_safe_softmax4
1Tensor<[32,32]>,
Tensor<[32,32]>,
ttnn.whereaten::triu4
2Tensor<[1,1,32,32]>,
Tensor<[1,1,32,32]>,
ttnn.whereaten::where.self4
3Tensor<[1,12,7,7]>,
Tensor<[1,12,7,7]>,
ttnn.whereaten::_safe_softmax4
4Tensor<[7,7]>,
Tensor<[7,7]>,
ttnn.whereaten::where.self4
5Tensor<[1,1,7,7]>,
Tensor<[1,1,7,7]>,
ttnn.whereaten::where.self4
6Tensor<[1,920]>,
Tensor<[1,920]>,
ttnn.whereaten::where.self4
7Tensor<[1,12,10,10]>,
Tensor<[1,12,10,10]>,
ttnn.whereaten::_safe_softmax4
8Tensor<[1,1,10,10]>,
Tensor<[1,1,10,10]>,
ttnn.whereaten::where.self4
9Tensor<[1,8,4096,4096]>,
Tensor<[1,8,4096,4096]>,
ttnn.whereaten::_safe_softmax4
10Tensor<[1,8,4096,9]>,
Tensor<[1,8,4096,9]>,
ttnn.whereaten::_safe_softmax4
11Tensor<[1,8,1024,1024]>,
Tensor<[1,8,1024,1024]>,
ttnn.whereaten::_safe_softmax4
12Tensor<[1,8,1024,9]>,
Tensor<[1,8,1024,9]>,
ttnn.whereaten::_safe_softmax4
13Tensor<[1,8,256,256]>,
Tensor<[1,8,256,256]>,
ttnn.whereaten::_safe_softmax4
14Tensor<[1,8,256,9]>,
Tensor<[1,8,256,9]>,
ttnn.whereaten::_safe_softmax4
15Tensor<[1,8,64,64]>,
Tensor<[1,8,64,64]>,
ttnn.whereaten::_safe_softmax4
16Tensor<[1,8,64,9]>,
Tensor<[1,8,64,9]>,
ttnn.whereaten::_safe_softmax4
17Tensor<[1,12,25,25]>,
Tensor<[1,12,25,25]>,
ttnn.whereaten::_safe_softmax4
18Tensor<[1,1,25,25]>,
Tensor<[1,1,25,25]>,
ttnn.whereaten::where.self4
19Tensor<[1,3,1445,1445]>,
Tensor<[1,3,1445,1445]>,
ttnn.whereaten::_safe_softmax4
20Tensor<[19,19]>,
Tensor<[19,19]>,
ttnn.whereaten::where.self4
21Tensor<[1,1,19,19]>,
Tensor<[1,1,19,19]>,
ttnn.whereaten::where.self4
22Tensor<[1,19]>,
Tensor<[1,19]>,
ttnn.whereaten::where.self4
23Tensor<[19]>,
Tensor<[19]>,
ttnn.whereaten::where.self4
24Tensor<[1,12,16,16]>,
Tensor<[1,12,16,16]>,
ttnn.whereaten::_safe_softmax4
25Tensor<[1,1,16,16]>,
Tensor<[1,1,16,16]>,
ttnn.whereaten::where.self4
26Tensor<[1,12,197,197]>,
Tensor<[1,12,197,197]>,
ttnn.whereaten::_safe_softmax4
27Tensor<[1,71,7,7]>,
Tensor<[1,71,7,7]>,
ttnn.whereaten::_safe_softmax4
28Tensor<[1,12,12,12]>,
Tensor<[1,12,12,12]>,
ttnn.whereaten::_safe_softmax4
29Tensor<[1,1,12,12]>,
Tensor<[1,1,12,12]>,
ttnn.whereaten::where.self4
30Tensor<[1,12,9,9]>,
Tensor<[1,12,9,9]>,
ttnn.whereaten::_safe_softmax4
31Tensor<[1,1,9,9]>,
Tensor<[1,1,9,9]>,
ttnn.whereaten::where.self4
32Tensor<[1,16,9,9]>,
Tensor<[1,16,9,9]>,
ttnn.whereaten::_safe_softmax4
33Tensor<[1,64,9,9]>,
Tensor<[1,64,9,9]>,
ttnn.whereaten::_safe_softmax4
34Tensor<[1,12,14,14]>,
Tensor<[1,12,14,14]>,
ttnn.whereaten::_safe_softmax4
35Tensor<[1,1,14,14]>,
Tensor<[1,1,14,14]>,
ttnn.whereaten::where.self4
36Tensor<[1,12,50,50]>,
Tensor<[1,12,50,50]>,
ttnn.whereaten::_safe_softmax4
37Tensor<[2,8,7,7]>,
Tensor<[2,8,7,7]>,
ttnn.whereaten::_safe_softmax4
38Tensor<[2,1,7,7]>,
Tensor<[2,1,7,7]>,
ttnn.whereaten::where.self4
39Tensor<[196,197]>,
Tensor<[196,197]>,
ttnn.whereaten::where.self4
40Tensor<[197,197]>,
Tensor<[197,197]>,
ttnn.whereaten::where.self4

stablehlo.sine::ttnn.sin

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,128]>,
ttnn.sinaten::sin4
1Tensor<[1,23,40,64]>,
ttnn.sinaten::sin4
2Tensor<[1,160]>,
ttnn.sinaten::sin4
3Tensor<[1,7,64]>,
ttnn.sinaten::sin4

stablehlo.slice::ttnn.slice

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,128]>,
indices: [0:1, 0:32, 0:32, 0:64]
ttnn.reshapeaten::slice.Tensor4
1Tensor<[1,32,32,128]>,
indices: [0:1, 0:32, 0:32, 64:128]
ttnn.reshapeaten::slice.Tensor4
2Tensor<[1,7,2304]>,
indices: [0:1, 0:7, 0:768]
ttnn.reshapeaten::slice.Tensor4
3Tensor<[1,7,2304]>,
indices: [0:1, 0:7, 768:1536]
ttnn.reshapeaten::slice.Tensor4
4Tensor<[1,7,2304]>,
indices: [0:1, 0:7, 1536:2304]
ttnn.reshapeaten::slice.Tensor4
5Tensor<[1,185,28,28]>,
indices: [0:1, 0:128, 0:28, 0:28]
ttnn.reshapeaten::slice.Tensor4
6Tensor<[1,185,28,28]>,
indices: [0:1, 128:185, 0:28, 0:28]
ttnn.reshapeaten::slice.Tensor4
7Tensor<[6,1,100,4]>,
indices: [5:6, 0:1, 0:100, 0:4]
ttnn.reshapeaten::select.int4
8Tensor<[6,1,100,92]>,
indices: [5:6, 0:1, 0:100, 0:92]
ttnn.reshapeaten::select.int4
9Tensor<[1,23,40]>,
indices: [0:1, 22:23, 0:40]
ttnn.reshapeaten::slice.Tensor4
10Tensor<[1,23,40]>,
indices: [0:1, 0:23, 39:40]
ttnn.reshapeaten::slice.Tensor4
11Tensor<[1,23,40,128]>,
indices: [0:1, 0:23, 0:40, 0:128:2]
ttnn.reshapeaten::slice.Tensor4
12Tensor<[1,23,40,128]>,
indices: [0:1, 0:23, 0:40, 1:128:2]
ttnn.reshapeaten::slice.Tensor4
13Tensor<[768,256]>,
indices: [0:256, 0:256]
ttnn.reshapeaten::slice.Tensor4
14Tensor<[768,256]>,
indices: [256:512, 0:256]
ttnn.reshapeaten::slice.Tensor4
15Tensor<[768,256]>,
indices: [512:768, 0:256]
ttnn.reshapeaten::slice.Tensor4
16Tensor<[768]>,
indices: [0:256]
ttnn.reshapeaten::slice.Tensor4
17Tensor<[768]>,
indices: [256:512]
ttnn.reshapeaten::slice.Tensor4
18Tensor<[768]>,
indices: [512:768]
ttnn.reshapeaten::slice.Tensor4
19Tensor<[1,514]>,
indices: [0:1, 0:10]
ttnn.reshapeaten::slice.Tensor4
20Tensor<[1,320]>,
indices: [0:1, 160:320]
ttnn.reshapeaten::slice.Tensor4
21Tensor<[1,320]>,
indices: [0:1, 0:160]
ttnn.reshapeaten::slice.Tensor4
22Tensor<[1,4096,2560]>,
indices: [0:1, 0:4096, 0:1280]
ttnn.reshapeaten::slice.Tensor4
23Tensor<[1,4096,2560]>,
indices: [0:1, 0:4096, 1280:2560]
ttnn.reshapeaten::slice.Tensor4
24Tensor<[1,1024,5120]>,
indices: [0:1, 0:1024, 0:2560]
ttnn.reshapeaten::slice.Tensor4
25Tensor<[1,1024,5120]>,
indices: [0:1, 0:1024, 2560:5120]
ttnn.reshapeaten::slice.Tensor4
26Tensor<[1,256,10240]>,
indices: [0:1, 0:256, 0:5120]
ttnn.reshapeaten::slice.Tensor4
27Tensor<[1,256,10240]>,
indices: [0:1, 0:256, 5120:10240]
ttnn.reshapeaten::slice.Tensor4
28Tensor<[1,64,10240]>,
indices: [0:1, 0:64, 0:5120]
ttnn.reshapeaten::slice.Tensor4
29Tensor<[1,64,10240]>,
indices: [0:1, 0:64, 5120:10240]
ttnn.reshapeaten::slice.Tensor4
30Tensor<[1,25,768]>,
indices: [0:1, 0:1, 0:768]
ttnn.reshapeaten::select.int4
31Tensor<[1,512]>,
indices: [0:1, 0:25]
ttnn.reshapeaten::slice.Tensor4
32Tensor<[1,25,2]>,
indices: [0:1, 0:25, 0:1]
ttnn.reshapeaten::slice.Tensor4
33Tensor<[1,25,2]>,
indices: [0:1, 0:25, 1:2]
ttnn.reshapeaten::slice.Tensor4
34Tensor<[1,4251,192]>,
indices: [0:1, 0:1, 0:192]
ttnn.reshapeaten::select.int4
35Tensor<[1,4251,192]>,
indices: [0:1, 4151:4251, 0:192]
ttnn.reshapeaten::slice.Tensor4
36Tensor<[1,4251,192]>,
indices: [0:1, 1:4151, 0:192]
ttnn.reshapeaten::slice.Tensor4
37Tensor<[1,1445,192]>,
indices: [0:1, 1345:1445, 0:192]
ttnn.reshapeaten::slice.Tensor4
38Tensor<[1,8,768]>,
indices: [0:1, 0:1, 0:768]
ttnn.reshapeaten::select.int4
39Tensor<[1,512]>,
indices: [0:1, 0:8]
ttnn.reshapeaten::slice.Tensor4
40Tensor<[1,16]>,
indices: [0:1, 0:1]
ttnn.reshapeaten::select.int4
41Tensor<[1,12]>,
indices: [0:1, 0:1]
ttnn.reshapeaten::select.int4
42Tensor<[192,2]>,
indices: [0:192, 0:1]
ttnn.reshapeaten::select.int4
43Tensor<[1,201,768]>,
indices: [0:1, 0:1, 0:768]
ttnn.reshapeaten::select.int4
44Tensor<[1,40]>,
indices: [0:1, 0:8]
ttnn.reshapeaten::slice.Tensor4
45Tensor<[1,145,768]>,
indices: [0:1, 1:145, 0:768]
ttnn.reshapeaten::slice.Tensor4
46Tensor<[1,19]>,
indices: [0:1, 18:19]
ttnn.reshapeaten::select.int4
47Tensor<[1,19]>,
indices: [0:1, 1:19]
ttnn.reshapeaten::slice.Tensor4
48Tensor<[1,19]>,
indices: [0:1, 0:18]
ttnn.reshapeaten::slice.Tensor4
49Tensor<[1,32,16,3,96]>,
indices: [0:1, 0:32, 0:16, 0:1, 0:96]
ttnn.reshapeaten::select.int4
50Tensor<[1,32,16,3,96]>,
indices: [0:1, 0:32, 0:16, 1:2, 0:96]
ttnn.reshapeaten::select.int4
51Tensor<[1,32,16,3,96]>,
indices: [0:1, 0:32, 0:16, 2:3, 0:96]
ttnn.reshapeaten::select.int4
52Tensor<[1,512]>,
indices: [0:1, 0:16]
ttnn.reshapeaten::slice.Tensor4
53Tensor<[1,2,30,40]>,
indices: [0:1, 0:1, 0:30, 0:40]
ttnn.reshapeaten::select.int4
54Tensor<[1,2,30,40]>,
indices: [0:1, 1:2, 0:30, 0:40]
ttnn.reshapeaten::select.int4
55Tensor<[1,2,60,80]>,
indices: [0:1, 0:1, 0:60, 0:80]
ttnn.reshapeaten::select.int4
56Tensor<[1,2,60,80]>,
indices: [0:1, 1:2, 0:60, 0:80]
ttnn.reshapeaten::select.int4
57Tensor<[1,2,120,160]>,
indices: [0:1, 0:1, 0:120, 0:160]
ttnn.reshapeaten::select.int4
58Tensor<[1,2,120,160]>,
indices: [0:1, 1:2, 0:120, 0:160]
ttnn.reshapeaten::select.int4
59Tensor<[1,197,768]>,
indices: [0:1, 0:1, 0:768]
ttnn.reshapeaten::select.int4
60Tensor<[1,7,73,64]>,
indices: [0:1, 0:7, 0:71, 0:64]
ttnn.reshapeaten::slice.Tensor4
61Tensor<[1,71,7,64]>,
indices: [0:1, 0:71, 0:7, 0:32]
ttnn.reshapeaten::slice.Tensor4
62Tensor<[1,71,7,64]>,
indices: [0:1, 0:71, 0:7, 32:64]
ttnn.reshapeaten::slice.Tensor4
63Tensor<[1,1,7,64]>,
indices: [0:1, 0:1, 0:7, 0:32]
ttnn.reshapeaten::slice.Tensor4
64Tensor<[1,1,7,64]>,
indices: [0:1, 0:1, 0:7, 32:64]
ttnn.reshapeaten::slice.Tensor4
65Tensor<[1,512]>,
indices: [0:1, 0:12]
ttnn.reshapeaten::slice.Tensor4
66Tensor<[1,512]>,
indices: [0:1, 0:9]
ttnn.reshapeaten::slice.Tensor4
67Tensor<[1,9,768]>,
indices: [0:1, 0:1, 0:768]
ttnn.reshapeaten::select.int4
68Tensor<[1,512]>,
indices: [0:1, 0:14]
ttnn.reshapeaten::slice.Tensor4
69Tensor<[1,14,2]>,
indices: [0:1, 0:14, 0:1]
ttnn.reshapeaten::slice.Tensor4
70Tensor<[1,14,2]>,
indices: [0:1, 0:14, 1:2]
ttnn.reshapeaten::slice.Tensor4
71Tensor<[1,50,768]>,
indices: [0:1, 0:1, 0:768]
ttnn.reshapeaten::select.int4
72Tensor<[1,77]>,
indices: [0:1, 0:7]
ttnn.reshapeaten::slice.Tensor4
73Tensor<[196,196,2]>,
indices: [0:196, 0:196, 0:1]
ttnn.reshapeaten::select.int4
74Tensor<[196,196,2]>,
indices: [0:196, 0:196, 1:2]
ttnn.reshapeaten::select.int4
75Tensor<[197,197]>,
indices: [0:1, 0:197]
ttnn.reshapeaten::select.int4
76Tensor<[197,197]>,
indices: [0:197, 0:1]
ttnn.reshapeaten::select.int4
77Tensor<[197]>,
indices: [0:1]
ttnn.reshapeaten::select.int4
78Tensor<[732,16]>,
indices: [0:729, 0:16]
ttnn.reshapeaten::slice.Tensor4
79Tensor<[732,16]>,
indices: [729:732, 0:16]
ttnn.reshapeaten::slice.Tensor4
80Tensor<[197,197]>,
indices: [1:197, 0:197]
ttnn.reshapeaten::slice.Tensor4
81Tensor<[196,197]>,
indices: [0:196, 1:197]
ttnn.reshapeaten::slice.Tensor4
82Tensor<[1,197,1024]>,
indices: [0:1, 1:197, 0:1024]
ttnn.reshapeaten::slice.Tensor4
83Tensor<[732,12]>,
indices: [0:729, 0:12]
ttnn.reshapeaten::slice.Tensor4
84Tensor<[732,12]>,
indices: [729:732, 0:12]
ttnn.reshapeaten::slice.Tensor4
85Tensor<[1,197,768]>,
indices: [0:1, 1:197, 0:768]
ttnn.reshapeaten::slice.Tensor4

stablehlo.sqrt::ttnn.sqrt

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[32]>,
ttnn.sqrtaten::sqrt5
1Tensor<[64]>,
ttnn.sqrtaten::sqrt5
2Tensor<[128]>,
ttnn.sqrtaten::sqrt5
3Tensor<[256]>,
ttnn.sqrtaten::sqrt5
4Tensor<[512]>,
ttnn.sqrtaten::sqrt5
5Tensor<[1024]>,
ttnn.sqrtaten::sqrt5
6Tensor<[2048]>,
ttnn.sqrtaten::sqrt5
7Tensor<[14]>,
ttnn.sqrtaten::sqrt5
8Tensor<[24]>,
ttnn.sqrtaten::sqrt5
9Tensor<[40]>,
ttnn.sqrtaten::sqrt5
10Tensor<[68]>,
ttnn.sqrtaten::sqrt5
11Tensor<[16]>,
ttnn.sqrtaten::sqrt5
12Tensor<[28]>,
ttnn.sqrtaten::sqrt5
13Tensor<[46]>,
ttnn.sqrtaten::sqrt5
14Tensor<[78]>,
ttnn.sqrtaten::sqrt5
15Tensor<[134]>,
ttnn.sqrtaten::sqrt5
16Tensor<[20]>,
ttnn.sqrtaten::sqrt5
17Tensor<[34]>,
ttnn.sqrtaten::sqrt5
18Tensor<[58]>,
ttnn.sqrtaten::sqrt5
19Tensor<[98]>,
ttnn.sqrtaten::sqrt5
20Tensor<[168]>,
ttnn.sqrtaten::sqrt5
21Tensor<[320]>,
ttnn.sqrtaten::sqrt5
22Tensor<[116]>,
ttnn.sqrtaten::sqrt5
23Tensor<[196]>,
ttnn.sqrtaten::sqrt5
24Tensor<[334]>,
ttnn.sqrtaten::sqrt5
25Tensor<[640]>,
ttnn.sqrtaten::sqrt5
26Tensor<[160]>,
ttnn.sqrtaten::sqrt5
27Tensor<[272]>,
ttnn.sqrtaten::sqrt5
28Tensor<[462]>,
ttnn.sqrtaten::sqrt5
29Tensor<[96]>,
ttnn.sqrtaten::sqrt5
30Tensor<[144]>,
ttnn.sqrtaten::sqrt5
31Tensor<[192]>,
ttnn.sqrtaten::sqrt5
32Tensor<[384]>,
ttnn.sqrtaten::sqrt5
33Tensor<[576]>,
ttnn.sqrtaten::sqrt5
34Tensor<[960]>,
ttnn.sqrtaten::sqrt5
35Tensor<[1280]>,
ttnn.sqrtaten::sqrt5

stablehlo.subtract::ttnn.subtract

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,32]>,
Tensor<[1,32,32,32]>,
ttnn.subtractaten::_safe_softmax4
1Tensor<[1,12,7,7]>,
Tensor<[1,12,7,7]>,
ttnn.subtractaten::_safe_softmax4
2Tensor<[1,1,7,7]>,
Tensor<[1,1,7,7]>,
ttnn.subtractaten::rsub.Scalar4
3Tensor<[1,7,768]>,
Tensor<[1,7,768]>,
ttnn.subtractaten::sub.Tensor4
4Tensor<[1]>,
Tensor<[1]>,
ttnn.subtractaten::sub.Tensor4
5Tensor<[1,128,28,28]>,
Tensor<[1,128,28,28]>,
ttnn.subtractaten::elu4
6Tensor<[1,32,112,112]>,
Tensor<[1,32,112,112]>,
ttnn.subtractaten::sub.Tensor4
7Tensor<[1,64,112,112]>,
Tensor<[1,64,112,112]>,
ttnn.subtractaten::sub.Tensor4
8Tensor<[1,64,56,56]>,
Tensor<[1,64,56,56]>,
ttnn.subtractaten::sub.Tensor4
9Tensor<[1,128,56,56]>,
Tensor<[1,128,56,56]>,
ttnn.subtractaten::sub.Tensor4
10Tensor<[1,256,28,28]>,
Tensor<[1,256,28,28]>,
ttnn.subtractaten::sub.Tensor4
11Tensor<[1,512,28,28]>,
Tensor<[1,512,28,28]>,
ttnn.subtractaten::sub.Tensor4
12Tensor<[1,256,512]>,
Tensor<[1,256,512]>,
ttnn.subtractaten::sub.Tensor4
13Tensor<[8,920,920]>,
Tensor<[8,920,920]>,
ttnn.subtractaten::_softmax4
14Tensor<[8,100,100]>,
Tensor<[8,100,100]>,
ttnn.subtractaten::_softmax4
15Tensor<[8,100,920]>,
Tensor<[8,100,920]>,
ttnn.subtractaten::_softmax4
16Scalar,
Scalar,
ttnn.subtractaten::arange4
17Tensor<[1,64,1,1]>,
Tensor<[1,64,1,1]>,
ttnn.subtractaten::sub.Tensor5
18Tensor<[1,256,1,1]>,
Tensor<[1,256,1,1]>,
ttnn.subtractaten::sub.Tensor5
19Tensor<[1,128,1,1]>,
Tensor<[1,128,1,1]>,
ttnn.subtractaten::sub.Tensor5
20Tensor<[1,512,1,1]>,
Tensor<[1,512,1,1]>,
ttnn.subtractaten::sub.Tensor5
21Tensor<[1,1024,1,1]>,
Tensor<[1,1024,1,1]>,
ttnn.subtractaten::sub.Tensor5
22Tensor<[1,2048,1,1]>,
Tensor<[1,2048,1,1]>,
ttnn.subtractaten::sub.Tensor5
23Tensor<[920,1,256]>,
Tensor<[920,1,256]>,
ttnn.subtractaten::sub.Tensor4
24Tensor<[100,1,256]>,
Tensor<[100,1,256]>,
ttnn.subtractaten::sub.Tensor4
25Tensor<[1,12,10,10]>,
Tensor<[1,12,10,10]>,
ttnn.subtractaten::_safe_softmax4
26Tensor<[1,1,10,10]>,
Tensor<[1,1,10,10]>,
ttnn.subtractaten::rsub.Scalar4
27Tensor<[1,10,768]>,
Tensor<[1,10,768]>,
ttnn.subtractaten::sub.Tensor4
28Tensor<[1,8,4096,4096]>,
Tensor<[1,8,4096,4096]>,
ttnn.subtractaten::_safe_softmax4
29Tensor<[1,8,4096,9]>,
Tensor<[1,8,4096,9]>,
ttnn.subtractaten::_safe_softmax4
30Tensor<[1,8,1024,1024]>,
Tensor<[1,8,1024,1024]>,
ttnn.subtractaten::_safe_softmax4
31Tensor<[1,8,1024,9]>,
Tensor<[1,8,1024,9]>,
ttnn.subtractaten::_safe_softmax4
32Tensor<[1,8,256,256]>,
Tensor<[1,8,256,256]>,
ttnn.subtractaten::_safe_softmax4
33Tensor<[1,8,256,9]>,
Tensor<[1,8,256,9]>,
ttnn.subtractaten::_safe_softmax4
34Tensor<[1,8,64,64]>,
Tensor<[1,8,64,64]>,
ttnn.subtractaten::_safe_softmax4
35Tensor<[1,8,64,9]>,
Tensor<[1,8,64,9]>,
ttnn.subtractaten::_safe_softmax4
36Tensor<[1,32,10,4096]>,
Tensor<[1,32,10,4096]>,
ttnn.subtractaten::sub.Tensor4
37Tensor<[1,4096,320]>,
Tensor<[1,4096,320]>,
ttnn.subtractaten::sub.Tensor4
38Tensor<[1,32,10,1024]>,
Tensor<[1,32,10,1024]>,
ttnn.subtractaten::sub.Tensor4
39Tensor<[1,32,20,1024]>,
Tensor<[1,32,20,1024]>,
ttnn.subtractaten::sub.Tensor4
40Tensor<[1,1024,640]>,
Tensor<[1,1024,640]>,
ttnn.subtractaten::sub.Tensor4
41Tensor<[1,32,20,256]>,
Tensor<[1,32,20,256]>,
ttnn.subtractaten::sub.Tensor4
42Tensor<[1,32,40,256]>,
Tensor<[1,32,40,256]>,
ttnn.subtractaten::sub.Tensor4
43Tensor<[1,256,1280]>,
Tensor<[1,256,1280]>,
ttnn.subtractaten::sub.Tensor4
44Tensor<[1,32,40,64]>,
Tensor<[1,32,40,64]>,
ttnn.subtractaten::sub.Tensor4
45Tensor<[1,64,1280]>,
Tensor<[1,64,1280]>,
ttnn.subtractaten::sub.Tensor4
46Tensor<[1,32,80,64]>,
Tensor<[1,32,80,64]>,
ttnn.subtractaten::sub.Tensor4
47Tensor<[1,32,80,256]>,
Tensor<[1,32,80,256]>,
ttnn.subtractaten::sub.Tensor4
48Tensor<[1,32,60,256]>,
Tensor<[1,32,60,256]>,
ttnn.subtractaten::sub.Tensor4
49Tensor<[1,32,60,1024]>,
Tensor<[1,32,60,1024]>,
ttnn.subtractaten::sub.Tensor4
50Tensor<[1,32,40,1024]>,
Tensor<[1,32,40,1024]>,
ttnn.subtractaten::sub.Tensor4
51Tensor<[1,32,30,1024]>,
Tensor<[1,32,30,1024]>,
ttnn.subtractaten::sub.Tensor4
52Tensor<[1,32,30,4096]>,
Tensor<[1,32,30,4096]>,
ttnn.subtractaten::sub.Tensor4
53Tensor<[1,32,20,4096]>,
Tensor<[1,32,20,4096]>,
ttnn.subtractaten::sub.Tensor4
54Tensor<[1,12,25,25]>,
Tensor<[1,12,25,25]>,
ttnn.subtractaten::_safe_softmax4
55Tensor<[1,1,25,25]>,
Tensor<[1,1,25,25]>,
ttnn.subtractaten::rsub.Scalar4
56Tensor<[1,25,768]>,
Tensor<[1,25,768]>,
ttnn.subtractaten::sub.Tensor4
57Tensor<[1,3,1445,1445]>,
Tensor<[1,3,1445,1445]>,
ttnn.subtractaten::_safe_softmax4
58Tensor<[1,1445,192]>,
Tensor<[1,1445,192]>,
ttnn.subtractaten::sub.Tensor4
59Tensor<[1,256,14,14]>,
Tensor<[1,256,14,14]>,
ttnn.subtractaten::sub.Tensor4
60Tensor<[1,512,7,7]>,
Tensor<[1,512,7,7]>,
ttnn.subtractaten::sub.Tensor4
61Tensor<[1,12,8,8]>,
Tensor<[1,12,8,8]>,
ttnn.subtractaten::_softmax4
62Tensor<[1,1,1,8]>,
Tensor<[1,1,1,8]>,
ttnn.subtractaten::rsub.Scalar4
63Tensor<[1,8,768]>,
Tensor<[1,8,768]>,
ttnn.subtractaten::sub.Tensor4
64Tensor<[1,8,256,2048]>,
Tensor<[1,8,256,2048]>,
ttnn.subtractaten::_softmax4
65Tensor<[1,8,2048,256]>,
Tensor<[1,8,2048,256]>,
ttnn.subtractaten::_softmax4
66Tensor<[1,1,1,2048]>,
Tensor<[1,1,1,2048]>,
ttnn.subtractaten::rsub.Scalar4
67Tensor<[1,2048,768]>,
Tensor<[1,2048,768]>,
ttnn.subtractaten::sub.Tensor4
68Tensor<[1,256,56,56]>,
Tensor<[1,256,56,56]>,
ttnn.subtractaten::sub.Tensor4
69Tensor<[1,1024,14,14]>,
Tensor<[1,1024,14,14]>,
ttnn.subtractaten::sub.Tensor4
70Tensor<[1,512,14,14]>,
Tensor<[1,512,14,14]>,
ttnn.subtractaten::sub.Tensor4
71Tensor<[1,2048,7,7]>,
Tensor<[1,2048,7,7]>,
ttnn.subtractaten::sub.Tensor4
72Tensor<[1,12,201,201]>,
Tensor<[1,12,201,201]>,
ttnn.subtractaten::_softmax4
73Tensor<[1,192]>,
Tensor<[1,192]>,
ttnn.subtractaten::rsub.Scalar4
74Tensor<[1,1,1,201]>,
Tensor<[1,1,1,201]>,
ttnn.subtractaten::rsub.Scalar4
75Tensor<[1,201,768]>,
Tensor<[1,201,768]>,
ttnn.subtractaten::sub.Tensor4
76Tensor<[1,1536]>,
Tensor<[1,1536]>,
ttnn.subtractaten::sub.Tensor4
77Tensor<[1,10]>,
Tensor<[1,10]>,
ttnn.subtractaten::sub.Tensor4
78Tensor<[16,19,19]>,
Tensor<[16,19,19]>,
ttnn.subtractaten::_softmax4
79Tensor<[1,1,19,19]>,
Tensor<[1,1,19,19]>,
ttnn.subtractaten::rsub.Scalar4
80Tensor<[1,19,1024]>,
Tensor<[1,19,1024]>,
ttnn.subtractaten::sub.Tensor4
81Tensor<[19]>,
Tensor<[19]>,
ttnn.subtractaten::sub.Tensor4
82Tensor<[19,256008]>,
Tensor<[19,256008]>,
ttnn.subtractaten::sub.Tensor4
83Tensor<[1,14,56,56]>,
Tensor<[1,14,56,56]>,
ttnn.subtractaten::sub.Tensor4
84Tensor<[1,24,56,56]>,
Tensor<[1,24,56,56]>,
ttnn.subtractaten::sub.Tensor4
85Tensor<[1,40,56,56]>,
Tensor<[1,40,56,56]>,
ttnn.subtractaten::sub.Tensor4
86Tensor<[1,68,56,56]>,
Tensor<[1,68,56,56]>,
ttnn.subtractaten::sub.Tensor4
87Tensor<[1,16,28,28]>,
Tensor<[1,16,28,28]>,
ttnn.subtractaten::sub.Tensor4
88Tensor<[1,28,28,28]>,
Tensor<[1,28,28,28]>,
ttnn.subtractaten::sub.Tensor4
89Tensor<[1,46,28,28]>,
Tensor<[1,46,28,28]>,
ttnn.subtractaten::sub.Tensor4
90Tensor<[1,78,28,28]>,
Tensor<[1,78,28,28]>,
ttnn.subtractaten::sub.Tensor4
91Tensor<[1,134,28,28]>,
Tensor<[1,134,28,28]>,
ttnn.subtractaten::sub.Tensor4
92Tensor<[1,20,28,28]>,
Tensor<[1,20,28,28]>,
ttnn.subtractaten::sub.Tensor4
93Tensor<[1,34,28,28]>,
Tensor<[1,34,28,28]>,
ttnn.subtractaten::sub.Tensor4
94Tensor<[1,58,28,28]>,
Tensor<[1,58,28,28]>,
ttnn.subtractaten::sub.Tensor4
95Tensor<[1,98,28,28]>,
Tensor<[1,98,28,28]>,
ttnn.subtractaten::sub.Tensor4
96Tensor<[1,168,28,28]>,
Tensor<[1,168,28,28]>,
ttnn.subtractaten::sub.Tensor4
97Tensor<[1,320,28,28]>,
Tensor<[1,320,28,28]>,
ttnn.subtractaten::sub.Tensor4
98Tensor<[1,40,14,14]>,
Tensor<[1,40,14,14]>,
ttnn.subtractaten::sub.Tensor4
99Tensor<[1,68,14,14]>,
Tensor<[1,68,14,14]>,
ttnn.subtractaten::sub.Tensor4
100Tensor<[1,116,14,14]>,
Tensor<[1,116,14,14]>,
ttnn.subtractaten::sub.Tensor4
101Tensor<[1,196,14,14]>,
Tensor<[1,196,14,14]>,
ttnn.subtractaten::sub.Tensor4
102Tensor<[1,334,14,14]>,
Tensor<[1,334,14,14]>,
ttnn.subtractaten::sub.Tensor4
103Tensor<[1,640,14,14]>,
Tensor<[1,640,14,14]>,
ttnn.subtractaten::sub.Tensor4
104Tensor<[1,160,7,7]>,
Tensor<[1,160,7,7]>,
ttnn.subtractaten::sub.Tensor4
105Tensor<[1,272,7,7]>,
Tensor<[1,272,7,7]>,
ttnn.subtractaten::sub.Tensor4
106Tensor<[1,462,7,7]>,
Tensor<[1,462,7,7]>,
ttnn.subtractaten::sub.Tensor4
107Tensor<[1,1024,7,7]>,
Tensor<[1,1024,7,7]>,
ttnn.subtractaten::sub.Tensor4
108Tensor<[1,32,512,512]>,
Tensor<[1,32,512,512]>,
ttnn.subtractaten::sub.Tensor4
109Tensor<[1,64,256,256]>,
Tensor<[1,64,256,256]>,
ttnn.subtractaten::sub.Tensor4
110Tensor<[1,32,256,256]>,
Tensor<[1,32,256,256]>,
ttnn.subtractaten::sub.Tensor4
111Tensor<[1,128,128,128]>,
Tensor<[1,128,128,128]>,
ttnn.subtractaten::sub.Tensor4
112Tensor<[1,64,128,128]>,
Tensor<[1,64,128,128]>,
ttnn.subtractaten::sub.Tensor4
113Tensor<[1,256,64,64]>,
Tensor<[1,256,64,64]>,
ttnn.subtractaten::sub.Tensor4
114Tensor<[1,128,64,64]>,
Tensor<[1,128,64,64]>,
ttnn.subtractaten::sub.Tensor4
115Tensor<[1,512,32,32]>,
Tensor<[1,512,32,32]>,
ttnn.subtractaten::sub.Tensor4
116Tensor<[1,256,32,32]>,
Tensor<[1,256,32,32]>,
ttnn.subtractaten::sub.Tensor4
117Tensor<[1,1024,16,16]>,
Tensor<[1,1024,16,16]>,
ttnn.subtractaten::sub.Tensor4
118Tensor<[1,512,16,16]>,
Tensor<[1,512,16,16]>,
ttnn.subtractaten::sub.Tensor4
119Tensor<[1,256,16,16]>,
Tensor<[1,256,16,16]>,
ttnn.subtractaten::sub.Tensor4
120Tensor<[1,128,32,32]>,
Tensor<[1,128,32,32]>,
ttnn.subtractaten::sub.Tensor4
121Tensor<[1,16,32,32]>,
Tensor<[1,16,32,32]>,
ttnn.subtractaten::_softmax4
122Tensor<[1,32,1536]>,
Tensor<[1,32,1536]>,
ttnn.subtractaten::sub.Tensor4
123Tensor<[1,32]>,
Tensor<[1,32]>,
ttnn.subtractaten::sub.Tensor4
124Tensor<[1,12,16,16]>,
Tensor<[1,12,16,16]>,
ttnn.subtractaten::_safe_softmax4
125Tensor<[1,1,16,16]>,
Tensor<[1,1,16,16]>,
ttnn.subtractaten::rsub.Scalar4
126Tensor<[1,16,768]>,
Tensor<[1,16,768]>,
ttnn.subtractaten::sub.Tensor4
127Tensor<[1,64,224,224]>,
Tensor<[1,64,224,224]>,
ttnn.subtractaten::sub.Tensor4
128Tensor<[1,128,112,112]>,
Tensor<[1,128,112,112]>,
ttnn.subtractaten::sub.Tensor4
129Tensor<[1,1,19200,300]>,
Tensor<[1,1,19200,300]>,
ttnn.subtractaten::_softmax4
130Tensor<[1,2,4800,300]>,
Tensor<[1,2,4800,300]>,
ttnn.subtractaten::_softmax4
131Tensor<[1,5,1200,300]>,
Tensor<[1,5,1200,300]>,
ttnn.subtractaten::_softmax4
132Tensor<[1,8,300,300]>,
Tensor<[1,8,300,300]>,
ttnn.subtractaten::_softmax4
133Tensor<[1,19200,64]>,
Tensor<[1,19200,64]>,
ttnn.subtractaten::sub.Tensor4
134Tensor<[1,300,64]>,
Tensor<[1,300,64]>,
ttnn.subtractaten::sub.Tensor4
135Tensor<[1,4800,128]>,
Tensor<[1,4800,128]>,
ttnn.subtractaten::sub.Tensor4
136Tensor<[1,300,128]>,
Tensor<[1,300,128]>,
ttnn.subtractaten::sub.Tensor4
137Tensor<[1,1200,320]>,
Tensor<[1,1200,320]>,
ttnn.subtractaten::sub.Tensor4
138Tensor<[1,300,320]>,
Tensor<[1,300,320]>,
ttnn.subtractaten::sub.Tensor4
139Tensor<[1,300,512]>,
Tensor<[1,300,512]>,
ttnn.subtractaten::sub.Tensor4
140Tensor<[30]>,
Tensor<[30]>,
ttnn.subtractaten::sub.Tensor4
141Tensor<[40]>,
Tensor<[40]>,
ttnn.subtractaten::sub.Tensor4
142Tensor<[1,64,30,40]>,
Tensor<[1,64,30,40]>,
ttnn.subtractaten::sub.Tensor5
143Tensor<[30,1]>,
Tensor<[30,1]>,
ttnn.subtractaten::sub.Tensor4
144Tensor<[1,32,30,40]>,
Tensor<[1,32,30,40]>,
ttnn.subtractaten::sub.Tensor4
145Tensor<[60]>,
Tensor<[60]>,
ttnn.subtractaten::sub.Tensor4
146Tensor<[80]>,
Tensor<[80]>,
ttnn.subtractaten::sub.Tensor4
147Tensor<[1,64,60,80]>,
Tensor<[1,64,60,80]>,
ttnn.subtractaten::sub.Tensor5
148Tensor<[60,1]>,
Tensor<[60,1]>,
ttnn.subtractaten::sub.Tensor4
149Tensor<[1,32,60,80]>,
Tensor<[1,32,60,80]>,
ttnn.subtractaten::sub.Tensor4
150Tensor<[120]>,
Tensor<[120]>,
ttnn.subtractaten::sub.Tensor4
151Tensor<[160]>,
Tensor<[160]>,
ttnn.subtractaten::sub.Tensor4
152Tensor<[1,64,120,160]>,
Tensor<[1,64,120,160]>,
ttnn.subtractaten::sub.Tensor5
153Tensor<[120,1]>,
Tensor<[120,1]>,
ttnn.subtractaten::sub.Tensor4
154Tensor<[1,32,120,160]>,
Tensor<[1,32,120,160]>,
ttnn.subtractaten::sub.Tensor4
155Tensor<[240]>,
Tensor<[240]>,
ttnn.subtractaten::sub.Tensor4
156Tensor<[320]>,
Tensor<[320]>,
ttnn.subtractaten::sub.Tensor4
157Tensor<[1,64,240,320]>,
Tensor<[1,64,240,320]>,
ttnn.subtractaten::sub.Tensor5
158Tensor<[240,1]>,
Tensor<[240,1]>,
ttnn.subtractaten::sub.Tensor4
159Tensor<[480]>,
Tensor<[480]>,
ttnn.subtractaten::sub.Tensor4
160Tensor<[640]>,
Tensor<[640]>,
ttnn.subtractaten::sub.Tensor4
161Tensor<[1,64,480,640]>,
Tensor<[1,64,480,640]>,
ttnn.subtractaten::sub.Tensor5
162Tensor<[480,1]>,
Tensor<[480,1]>,
ttnn.subtractaten::sub.Tensor4
163Tensor<[1,12,197,197]>,
Tensor<[1,12,197,197]>,
ttnn.subtractaten::_safe_softmax4
164Tensor<[1,197,768]>,
Tensor<[1,197,768]>,
ttnn.subtractaten::sub.Tensor4
165Tensor<[1,1,16384,256]>,
Tensor<[1,1,16384,256]>,
ttnn.subtractaten::_softmax4
166Tensor<[1,2,4096,256]>,
Tensor<[1,2,4096,256]>,
ttnn.subtractaten::_softmax4
167Tensor<[1,5,1024,256]>,
Tensor<[1,5,1024,256]>,
ttnn.subtractaten::_softmax4
168Tensor<[1,16384,32]>,
Tensor<[1,16384,32]>,
ttnn.subtractaten::sub.Tensor4
169Tensor<[1,256,32]>,
Tensor<[1,256,32]>,
ttnn.subtractaten::sub.Tensor4
170Tensor<[1,4096,64]>,
Tensor<[1,4096,64]>,
ttnn.subtractaten::sub.Tensor4
171Tensor<[1,256,64]>,
Tensor<[1,256,64]>,
ttnn.subtractaten::sub.Tensor4
172Tensor<[1,1024,160]>,
Tensor<[1,1024,160]>,
ttnn.subtractaten::sub.Tensor4
173Tensor<[1,256,160]>,
Tensor<[1,256,160]>,
ttnn.subtractaten::sub.Tensor4
174Tensor<[1,256,256]>,
Tensor<[1,256,256]>,
ttnn.subtractaten::sub.Tensor4
175Tensor<[128]>,
Tensor<[128]>,
ttnn.subtractaten::sub.Tensor4
176Tensor<[1,256,128,128]>,
Tensor<[1,256,128,128]>,
ttnn.subtractaten::sub.Tensor5
177Tensor<[128,1]>,
Tensor<[128,1]>,
ttnn.subtractaten::sub.Tensor4
178Tensor<[1,71,7,7]>,
Tensor<[1,71,7,7]>,
ttnn.subtractaten::_safe_softmax4
179Tensor<[1,7,4544]>,
Tensor<[1,7,4544]>,
ttnn.subtractaten::sub.Tensor4
180Tensor<[1,16,112,112]>,
Tensor<[1,16,112,112]>,
ttnn.subtractaten::sub.Tensor4
181Tensor<[1,96,112,112]>,
Tensor<[1,96,112,112]>,
ttnn.subtractaten::sub.Tensor4
182Tensor<[1,96,56,56]>,
Tensor<[1,96,56,56]>,
ttnn.subtractaten::sub.Tensor4
183Tensor<[1,144,56,56]>,
Tensor<[1,144,56,56]>,
ttnn.subtractaten::sub.Tensor4
184Tensor<[1,144,28,28]>,
Tensor<[1,144,28,28]>,
ttnn.subtractaten::sub.Tensor4
185Tensor<[1,32,28,28]>,
Tensor<[1,32,28,28]>,
ttnn.subtractaten::sub.Tensor4
186Tensor<[1,192,28,28]>,
Tensor<[1,192,28,28]>,
ttnn.subtractaten::sub.Tensor4
187Tensor<[1,192,14,14]>,
Tensor<[1,192,14,14]>,
ttnn.subtractaten::sub.Tensor4
188Tensor<[1,64,14,14]>,
Tensor<[1,64,14,14]>,
ttnn.subtractaten::sub.Tensor4
189Tensor<[1,384,14,14]>,
Tensor<[1,384,14,14]>,
ttnn.subtractaten::sub.Tensor4
190Tensor<[1,96,14,14]>,
Tensor<[1,96,14,14]>,
ttnn.subtractaten::sub.Tensor4
191Tensor<[1,576,14,14]>,
Tensor<[1,576,14,14]>,
ttnn.subtractaten::sub.Tensor4
192Tensor<[1,576,7,7]>,
Tensor<[1,576,7,7]>,
ttnn.subtractaten::sub.Tensor4
193Tensor<[1,960,7,7]>,
Tensor<[1,960,7,7]>,
ttnn.subtractaten::sub.Tensor4
194Tensor<[1,320,7,7]>,
Tensor<[1,320,7,7]>,
ttnn.subtractaten::sub.Tensor4
195Tensor<[1,1280,7,7]>,
Tensor<[1,1280,7,7]>,
ttnn.subtractaten::sub.Tensor4
196Tensor<[1,12,12,12]>,
Tensor<[1,12,12,12]>,
ttnn.subtractaten::_safe_softmax4
197Tensor<[1,1,12,12]>,
Tensor<[1,1,12,12]>,
ttnn.subtractaten::rsub.Scalar4
198Tensor<[1,12,128]>,
Tensor<[1,12,128]>,
ttnn.subtractaten::sub.Tensor4
199Tensor<[1,12,768]>,
Tensor<[1,12,768]>,
ttnn.subtractaten::sub.Tensor4
200Tensor<[1,12,9,9]>,
Tensor<[1,12,9,9]>,
ttnn.subtractaten::_safe_softmax4
201Tensor<[1,1,9,9]>,
Tensor<[1,1,9,9]>,
ttnn.subtractaten::rsub.Scalar4
202Tensor<[1,9,128]>,
Tensor<[1,9,128]>,
ttnn.subtractaten::sub.Tensor4
203Tensor<[1,9,768]>,
Tensor<[1,9,768]>,
ttnn.subtractaten::sub.Tensor4
204Tensor<[1,16,9,9]>,
Tensor<[1,16,9,9]>,
ttnn.subtractaten::_safe_softmax4
205Tensor<[1,9,2048]>,
Tensor<[1,9,2048]>,
ttnn.subtractaten::sub.Tensor4
206Tensor<[1,9,1024]>,
Tensor<[1,9,1024]>,
ttnn.subtractaten::sub.Tensor4
207Tensor<[1,64,9,9]>,
Tensor<[1,64,9,9]>,
ttnn.subtractaten::_safe_softmax4
208Tensor<[1,9,4096]>,
Tensor<[1,9,4096]>,
ttnn.subtractaten::sub.Tensor4
209Tensor<[1,12,14,14]>,
Tensor<[1,12,14,14]>,
ttnn.subtractaten::_safe_softmax4
210Tensor<[1,1,14,14]>,
Tensor<[1,1,14,14]>,
ttnn.subtractaten::rsub.Scalar4
211Tensor<[1,14,128]>,
Tensor<[1,14,128]>,
ttnn.subtractaten::sub.Tensor4
212Tensor<[1,14,768]>,
Tensor<[1,14,768]>,
ttnn.subtractaten::sub.Tensor4
213Tensor<[1,12,50,50]>,
Tensor<[1,12,50,50]>,
ttnn.subtractaten::_safe_softmax4
214Tensor<[2,8,7,7]>,
Tensor<[2,8,7,7]>,
ttnn.subtractaten::_safe_softmax4
215Tensor<[2,1,7,7]>,
Tensor<[2,1,7,7]>,
ttnn.subtractaten::rsub.Scalar4
216Tensor<[1,50,768]>,
Tensor<[1,50,768]>,
ttnn.subtractaten::sub.Tensor4
217Tensor<[1,768]>,
Tensor<[1,768]>,
ttnn.subtractaten::sub.Tensor4
218Tensor<[2,7,512]>,
Tensor<[2,7,512]>,
ttnn.subtractaten::sub.Tensor4
219Tensor<[1,16,197,197]>,
Tensor<[1,16,197,197]>,
ttnn.subtractaten::_softmax4
220Tensor<[1,197,1024]>,
Tensor<[1,197,1024]>,
ttnn.subtractaten::sub.Tensor4
221Tensor<[27]>,
Tensor<[27]>,
ttnn.subtractaten::sub.Tensor4
222Tensor<[1,16,27,27]>,
Tensor<[1,16,27,27]>,
ttnn.subtractaten::sub.Tensor5
223Tensor<[27,1]>,
Tensor<[27,1]>,
ttnn.subtractaten::sub.Tensor4
224Tensor<[2,196,196]>,
Tensor<[2,196,196]>,
ttnn.subtractaten::sub.Tensor4
225Tensor<[197]>,
Tensor<[197]>,
ttnn.subtractaten::sub.Tensor4
226Tensor<[1,1024]>,
Tensor<[1,1024]>,
ttnn.subtractaten::sub.Tensor4
227Tensor<[1,12,27,27]>,
Tensor<[1,12,27,27]>,
ttnn.subtractaten::sub.Tensor5

stablehlo.tanh::ttnn.tanh

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,7,3072]>,
ttnn.tanhaten::tanh4
1Tensor<[1,768]>,
ttnn.tanhaten::tanh4
2Tensor<[1,32,6144]>,
ttnn.tanhaten::tanh4
3Tensor<[1,12,3072]>,
ttnn.tanhaten::tanh4
4Tensor<[1,9,3072]>,
ttnn.tanhaten::tanh4
5Tensor<[1,9,128]>,
ttnn.tanhaten::tanh4
6Tensor<[1,9,8192]>,
ttnn.tanhaten::tanh4
7Tensor<[1,9,4096]>,
ttnn.tanhaten::tanh4
8Tensor<[1,9,16384]>,
ttnn.tanhaten::tanh4
9Tensor<[1,14,3072]>,
ttnn.tanhaten::tanh4

stablehlo.transpose::ttnn.permute

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,64,32]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
1Tensor<[4096,4096]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
2Tensor<[1,32,32,128]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
3Tensor<[1,32,32,128]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
4Tensor<[11008,4096]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
5Tensor<[4096,11008]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
6Tensor<[32000,4096]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
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ttnn.permuteaten::transpose.int4
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ttnn.permuteaten::transpose.int5
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ttnn.permuteaten::transpose.int5
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ttnn.permuteaten::transpose.int4
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ttnn.permuteaten::transpose.int4
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ttnn.permuteaten::transpose.int5
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ttnn.permuteaten::transpose.int4
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ttnn.permuteaten::transpose.int4
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ttnn.permuteaten::transpose.int4
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ttnn.permuteaten::transpose.int5
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ttnn.permuteaten::permute4
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ttnn.permuteaten::transpose.int4
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ttnn.permuteaten::transpose.int5
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ttnn.permuteaten::transpose.int5
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ttnn.permuteaten::transpose.int5
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ttnn.permuteaten::transpose.int5
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ttnn.permuteaten::permute4
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ttnn.permuteaten::permute4
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ttnn.permuteaten::permute4
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ttnn.permuteaten::transpose.int5
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ttnn.permuteaten::permute4
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ttnn.permuteaten::transpose.int4
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ttnn.permuteaten::permute4
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ttnn.permuteaten::permute4
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ttnn.permuteaten::permute4
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ttnn.permuteaten::permute4
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ttnn.permuteaten::permute4
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ttnn.permuteaten::permute4
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ttnn.permuteaten::permute4
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ttnn.permuteaten::permute4
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ttnn.permuteaten::permute4
213Tensor<[1,8,256,32]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::permute4
214Tensor<[1,16,16,256]>,
dims: [0, 3, 1, 2]
ttnn.permuteaten::permute4
215Tensor<[1,16384,256]>,
dims: [0, 2, 1]
ttnn.permuteaten::permute4
216Tensor<[1,4096,256]>,
dims: [0, 2, 1]
ttnn.permuteaten::permute4
217Tensor<[1,1024,256]>,
dims: [0, 2, 1]
ttnn.permuteaten::permute4
218Tensor<[1,256,256]>,
dims: [0, 2, 1]
ttnn.permuteaten::permute4
219Tensor<[1,32,16384]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
220Tensor<[32,32]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
221Tensor<[1,1,256,32]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
222Tensor<[128,32]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
223Tensor<[1,16384,128]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
224Tensor<[1,128,16384]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
225Tensor<[32,128]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
226Tensor<[1,64,4096]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
227Tensor<[1,2,256,32]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
228Tensor<[1,256,4096]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
229Tensor<[1,160,1024]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
230Tensor<[160,160]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
231Tensor<[1,5,256,32]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
232Tensor<[640,160]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
233Tensor<[1,1024,640]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
234Tensor<[1,640,1024]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
235Tensor<[160,640]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
236Tensor<[1024,256]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
237Tensor<[1,256,1024]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
238Tensor<[256,1024]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
239Tensor<[256,32]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
240Tensor<[256,160]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
241Tensor<[4672,4544]>,
dims: [1, 0]
ttnn.permuteaten::permute5
242Tensor<[1,71,7,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::permute4
243Tensor<[4544,4544]>,
dims: [1, 0]
ttnn.permuteaten::permute5
244Tensor<[18176,4544]>,
dims: [1, 0]
ttnn.permuteaten::permute5
245Tensor<[4544,18176]>,
dims: [1, 0]
ttnn.permuteaten::permute5
246Tensor<[1,32,7]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
247Tensor<[1,7,71,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
248Tensor<[1,7,1,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
249Tensor<[1,1,7,64]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
250Tensor<[65024,4544]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
251Tensor<[1000,1280]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
252Tensor<[1,12,12,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::permute4
253Tensor<[768,128]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
254Tensor<[1,12,12,64]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
255Tensor<[1,9,12,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::permute4
256Tensor<[1,12,9,64]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
257Tensor<[1,12,9,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
258Tensor<[128,768]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
259Tensor<[30000,128]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
260Tensor<[1,9,16,128]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::permute4
261Tensor<[2048,128]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
262Tensor<[2048,2048]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
263Tensor<[1,16,9,128]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
264Tensor<[1,16,9,128]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
265Tensor<[8192,2048]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
266Tensor<[2048,8192]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
267Tensor<[128,2048]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
268Tensor<[1,9,16,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::permute4
269Tensor<[1024,128]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
270Tensor<[1,16,9,64]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
271Tensor<[1,16,9,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
272Tensor<[128,1024]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
273Tensor<[1,9,64,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::permute4
274Tensor<[4096,128]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
275Tensor<[1,64,9,64]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
276Tensor<[1,64,9,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
277Tensor<[16384,4096]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
278Tensor<[4096,16384]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
279Tensor<[128,4096]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
280Tensor<[1,14,12,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::permute4
281Tensor<[1,12,14,64]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
282Tensor<[1,12,14,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
283Tensor<[1,768,49]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
284Tensor<[1,50,12,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
285Tensor<[1,12,50,64]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
286Tensor<[1,12,50,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
287Tensor<[2,7,8,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
288Tensor<[2,8,7,64]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
289Tensor<[2,8,7,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::transpose.int4
290Tensor<[1,512]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
291Tensor<[2,1]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
292Tensor<[1,197,16,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::permute4
293Tensor<[1,27,27,16]>,
dims: [0, 3, 1, 2]
ttnn.permuteaten::permute4
294Tensor<[1,16,27,27]>,
dims: [0, 2, 3, 1]
ttnn.permuteaten::permute4
295Tensor<[2,196,196]>,
dims: [1, 2, 0]
ttnn.permuteaten::permute4
296Tensor<[197,197,16]>,
dims: [2, 0, 1]
ttnn.permuteaten::permute4
297Tensor<[1,16,197,64]>,
dims: [0, 2, 1, 3]
ttnn.permuteaten::permute4
298Tensor<[1,1024,196]>,
dims: [0, 2, 1]
ttnn.permuteaten::transpose.int4
299Tensor<[1,16,197,64]>,
dims: [0, 1, 3, 2]
ttnn.permuteaten::transpose.int4
300Tensor<[1,27,27,12]>,
dims: [0, 3, 1, 2]
ttnn.permuteaten::permute4
301Tensor<[1,12,27,27]>,
dims: [0, 2, 3, 1]
ttnn.permuteaten::permute4
302Tensor<[197,197,12]>,
dims: [2, 0, 1]
ttnn.permuteaten::permute4
303Tensor<[128,784]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
304Tensor<[64,128]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
305Tensor<[12,64]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
306Tensor<[3,12]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
307Tensor<[12,3]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
308Tensor<[64,12]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
309Tensor<[128,64]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5
310Tensor<[784,128]>,
dims: [1, 0]
ttnn.permuteaten::transpose.int5

tensor.empty

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[32,32]>,
aten::empty_strided4
1Tensor<[7,7]>,
aten::empty_strided4
2Tensor<[19,19]>,
aten::empty_strided4

How to read these files?

The *.md/ *.json files store information related to ops from ttnn graphs. A TTNN Graph could look like the following

#device = #tt.device<workerGrid = #tt.grid<8x8, (d0, d1) -> (0, d0, d1)>, l1Map = (d0, d1)[s0, s1] -> (0, d0 floordiv s0, d1 floordiv s1, (d0 mod s0) * s1 + d1 mod s1), dramMap = (d0, d1)[s0, s1] -> (0, 0, ((((d0 floordiv s0) * 8 + d1 floordiv s1) * (s1 * s0) + (d0 mod s0) * s1 + d1 mod s1) floordiv 8192) mod 12, (((d0 floordiv s0) * 8 + d1 floordiv s1) * (s1 * s0) + (d0 mod s0) * s1 + d1 mod s1) floordiv 98304 + (((d0 floordiv s0) * 8 + d1 floordiv s1) * (s1 * s0) + (d0 mod s0) * s1 + d1 mod s1) mod 8192), meshShape = , chipIds = [0]>
#dram = #ttnn.buffer_type<dram>
#system_desc = #tt.system_desc<[{role = host, target_triple = ""x86_64-pc-linux-gnu""}], [{arch = <wormhole_b0>, grid = 8x8, l1_size = 1499136, num_dram_channels = 12, dram_channel_size = 1073741824, noc_l1_address_align_bytes = 16, pcie_address_align_bytes = 32, noc_dram_address_align_bytes = 32, l1_unreserved_base = 1024, erisc_l1_unreserved_base = 1024, dram_unreserved_base = 1024, dram_unreserved_end = 1073741824, physical_cores = {worker = [ 0x0,  0x1,  0x2,  0x3,  0x4,  0x5,  0x6,  0x7,  1x0,  1x1,  1x2,  1x3,  1x4,  1x5,  1x6,  1x7,  2x0,  2x1,  2x2,  2x3,  2x4,  2x5,  2x6,  2x7,  3x0,  3x1,  3x2,  3x3,  3x4,  3x5,  3x6,  3x7,  4x0,  4x1,  4x2,  4x3,  4x4,  4x5,  4x6,  4x7,  5x0,  5x1,  5x2,  5x3,  5x4,  5x5,  5x6,  5x7,  6x0,  6x1,  6x2,  6x3,  6x4,  6x5,  6x6,  6x7,  7x0,  7x1,  7x2,  7x3,  7x4,  7x5,  7x6,  7x7] dram = [ 8x0,  9x0,  10x0,  8x1,  9x1,  10x1,  8x2,  9x2,  10x2,  8x3,  9x3,  10x3]}, supported_data_types = [<f32>, <f16>, <bf16>, <bfp_f8>, <bfp_bf8>, <bfp_f4>, <bfp_bf4>, <bfp_f2>, <bfp_bf2>, <u32>, <u16>, <u8>], supported_tile_sizes = [ 4x16,  16x16,  32x16,  4x32,  16x32,  32x32], num_cbs = 32}], [0], [3 : i32], [ 0x0x0x0]>
#system_memory = #ttnn.buffer_type<system_memory>
#ttnn_layout = #ttnn.ttnn_layout<(d0, d1, d2, d3) -> (d0 * 14336 + d1 * 14 + d2, d3), <1x1>, memref<14336x14xbf16, #system_memory>>
#ttnn_layout1 = #ttnn.ttnn_layout<(d0, d1, d2, d3) -> (d0 * 3072 + d1 * 3 + d2, d3), <1x1>, memref<3145728x3xbf16, #system_memory>>
#ttnn_layout2 = #ttnn.ttnn_layout<(d0, d1, d2, d3) -> (d0 * 14336 + d1 * 14 + d2, d3), <1x1>, memref<448x1x!tt.tile<32x32, bf16>, #dram>, interleaved>
#ttnn_layout3 = #ttnn.ttnn_layout<(d0, d1, d2, d3) -> (d0 * 14336 + d1 * 1024 + d2, d3), <1x1>, memref<448x1x!tt.tile<32x32, bf16>, #dram>, interleaved>
#ttnn_layout4 = #ttnn.ttnn_layout<(d0, d1, d2, d3) -> (d0 * 196 + d1 * 14 + d2, d3), <1x1>, memref<7x32x!tt.tile<32x32, bf16>, #dram>, interleaved>
module attributes {tt.device = #device, tt.system_desc = #system_desc} {
  func.func @main(%arg0: tensor<1x1024x14x14xbf16, #ttnn_layout>, %arg1: tensor<1024x1024x3x3xbf16, #ttnn_layout1>) -> tensor<1x1024x14x14xbf16, #ttnn_layout> {
    %0 = ""ttnn.get_device""() <{mesh_shape = #ttnn<mesh_shape 1x1>}> : () -> !tt.device<#device>
    %1 = ""ttnn.to_device""(%arg0, %0) <{memory_config = #ttnn.memory_config<<interleaved>, #dram, <<448x1>>>}> : (tensor<1x1024x14x14xbf16, #ttnn_layout>, !tt.device<#device>) -> tensor<1x1024x14x14xbf16, #ttnn_layout2>
    %2 = ""ttnn.to_layout""(%1) <{layout = #ttnn.layout<tile>}> : (tensor<1x1024x14x14xbf16, #ttnn_layout2>) -> tensor<1x1024x14x14xbf16, #ttnn_layout2>
    ""ttnn.deallocate""(%1) <{force = false}> : (tensor<1x1024x14x14xbf16, #ttnn_layout2>) -> ()
    %3 = ""ttnn.transpose""(%2) <{dim0 = 1 : si32, dim1 = 2 : si32}> : (tensor<1x1024x14x14xbf16, #ttnn_layout2>) -> tensor<1x14x1024x14xbf16, #ttnn_layout3>
    ""ttnn.deallocate""(%2) <{force = false}> : (tensor<1x1024x14x14xbf16, #ttnn_layout2>) -> ()
    %4 = ""ttnn.transpose""(%3) <{dim0 = 2 : si32, dim1 = 3 : si32}> : (tensor<1x14x1024x14xbf16, #ttnn_layout3>) -> tensor<1x14x14x1024xbf16, #ttnn_layout4>
    ""ttnn.deallocate""(%3) <{force = false}> : (tensor<1x14x1024x14xbf16, #ttnn_layout3>) -> ()
    %5 = ""ttnn.reshape""(%4) <{shape = [1 : i32, 1 : i32, 196 : i32, 1024 : i32]}> : (tensor<1x14x14x1024xbf16, #ttnn_layout4>) -> tensor<1x1x196x1024xbf16, #ttnn_layout4>
    ""ttnn.deallocate""(%4) <{force = false}> : (tensor<1x14x14x1024xbf16, #ttnn_layout4>) -> ()
    %6 = ""ttnn.empty""(%0) <{dtype = #tt.supportedDataTypes<bf16>, layout = #ttnn.layout<tile>, memory_config = #ttnn.memory_config<<interleaved>, #dram, <<7x32>>>, shape = #ttnn.shape<1x1x196x1024>}> : (!tt.device<#device>) -> tensor<1x1x196x1024xbf16, #ttnn_layout4>
    %7 = ""ttnn.conv2d""(%5, %arg1, %6, %0) <{batch_size = 1 : i32, dilation_height = 1 : i32, dilation_width = 1 : i32, groups = 1 : i32, in_channels = 1024 : i32, input_height = 14 : i32, input_width = 14 : i32, kernel_height = 3 : i32, kernel_width = 3 : i32, out_channels = 1024 : i32, padding_height = 1 : i32, padding_width = 1 : i32, stride_height = 1 : i32, stride_width = 1 : i32}> : (tensor<1x1x196x1024xbf16, #ttnn_layout4>, tensor<1024x1024x3x3xbf16, #ttnn_layout1>, tensor<1x1x196x1024xbf16, #ttnn_layout4>, !tt.device<#device>) -> tensor<1x1x196x1024xbf16, #ttnn_layout4>
    ""ttnn.deallocate""(%5) <{force = false}> : (tensor<1x1x196x1024xbf16, #ttnn_layout4>) -> ()
    %8 = ""ttnn.reshape""(%7) <{shape = [1 : i32, 14 : i32, 14 : i32, 1024 : i32]}> : (tensor<1x1x196x1024xbf16, #ttnn_layout4>) -> tensor<1x14x14x1024xbf16, #ttnn_layout4>
    ""ttnn.deallocate""(%6) <{force = false}> : (tensor<1x1x196x1024xbf16, #ttnn_layout4>) -> ()
    %9 = ""ttnn.transpose""(%8) <{dim0 = 2 : si32, dim1 = 3 : si32}> : (tensor<1x14x14x1024xbf16, #ttnn_layout4>) -> tensor<1x14x1024x14xbf16, #ttnn_layout3>
    ""ttnn.deallocate""(%8) <{force = false}> : (tensor<1x14x14x1024xbf16, #ttnn_layout4>) -> ()
    %10 = ""ttnn.transpose""(%9) <{dim0 = 1 : si32, dim1 = 2 : si32}> : (tensor<1x14x1024x14xbf16, #ttnn_layout3>) -> tensor<1x1024x14x14xbf16, #ttnn_layout2>
    ""ttnn.deallocate""(%9) <{force = false}> : (tensor<1x14x1024x14xbf16, #ttnn_layout3>) -> ()
    %11 = ""ttnn.from_device""(%10) : (tensor<1x1024x14x14xbf16, #ttnn_layout2>) -> tensor<1x1024x14x14xbf16, #ttnn_layout>
    ""ttnn.deallocate""(%10) <{force = false}> : (tensor<1x1024x14x14xbf16, #ttnn_layout2>) -> ()
    %12 = ""ttnn.to_layout""(%11) <{layout = #ttnn.layout<row_major>}> : (tensor<1x1024x14x14xbf16, #ttnn_layout>) -> tensor<1x1024x14x14xbf16, #ttnn_layout>
    ""ttnn.deallocate""(%11) <{force = false}> : (tensor<1x1024x14x14xbf16, #ttnn_layout>) -> ()
    return %12 : tensor<1x1024x14x14xbf16, #ttnn_layout>
  }
}

Each line that starts with #number refers to an operation. The parser parses through all TTNN graphs generated by models under tt-torch and compiles all ops by the same name together.

Name

The name of the operation, i.e. ttnn.add, ttnn.matmul

Input/ Output Shapes

The shapes of the input/ output arguments to the operation, last element is the data type (i.e. bf16, i32)

Note: Some operations take the output as the last input.

Input/ Output Layouts

Please refer to tt-mlir tensor layout documentation

Mapping From/ To

i.e. (d0, d1, d2, d3) -> (d0 * 3072 + d1 * 3 + d2, d3)

Memory Config

i.e. <448x1x!tt.tile<32x32, bf16>, #dram>

  • "tile" refers to tilized memory
  • "dram" refers to dram memory
  • "system_memory" refers to unformatted weight tensor on host
  • "interleaved" refers to interleaved memory

Attributes

Parameters passed into the operation.

Runs on TTNN

Yes / No/ N/A

PCC

Pearson's correlation coefficient

ATOL

The tolerance on absolute differences

ttnn.add

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.addtensor<[1,12,12,1,f32]>
tensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,14,1,f32]>
tensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1500,1,f32]>
tensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,16,1,f32]>
tensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,197,1,f32]>
tensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,25,1,f32]>
tensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,50,1,f32]>
tensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,7,1,f32]>
tensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,9,1,f32]>
tensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1370,1,f32]>
tensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,256,1,f32]>
tensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,6,1,f32]>
tensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,9,1,f32]>
tensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,32,1,f32]>
tensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,13,1,f32]>
tensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,32,1,f32]>
tensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3,1445,1,f32]>
tensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,9,1,f32]>
tensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,71,7,1,f32]>
tensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1024,1,f32]>
tensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1024,1,f32]>
tensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,256,1,f32]>
tensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,256,1,f32]>
tensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,4096,1,f32]>
tensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,4096,1,f32]>
tensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,64,1,f32]>
tensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,64,1,f32]>
tensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,8,7,1,f32]>
tensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[4,16,1,1,f32]>
tensor<[4,16,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[121,6,144,1,f32]>
tensor<[121,6,144,144,f32]>
tensor<[121,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[16,8,49,1,f32]>
tensor<[16,8,49,49,f32]>
tensor<[16,8,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,8,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,10,1,f32]>
tensor<[1,12,10,10,f32]>
tensor<[1,12,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,197,1,f32]>
tensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,10,f32]>
tensor<[1,12,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,11,f32]>
tensor<[1,12,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,12,f32]>
tensor<[1,12,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,2,f32]>
tensor<[1,12,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,3,f32]>
tensor<[1,12,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,46,f32]>
tensor<[1,12,1,46,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,47,f32]>
tensor<[1,12,1,47,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,48,f32]>
tensor<[1,12,1,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,49,f32]>
tensor<[1,12,1,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,4,f32]>
tensor<[1,12,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,50,f32]>
tensor<[1,12,1,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,51,f32]>
tensor<[1,12,1,51,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,52,f32]>
tensor<[1,12,1,52,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,53,f32]>
tensor<[1,12,1,53,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,54,f32]>
tensor<[1,12,1,54,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,55,f32]>
tensor<[1,12,1,55,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,56,f32]>
tensor<[1,12,1,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,57,f32]>
tensor<[1,12,1,57,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,58,f32]>
tensor<[1,12,1,58,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,59,f32]>
tensor<[1,12,1,59,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,5,f32]>
tensor<[1,12,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,60,f32]>
tensor<[1,12,1,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,61,f32]>
tensor<[1,12,1,61,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,62,f32]>
tensor<[1,12,1,62,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,63,f32]>
tensor<[1,12,1,63,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,64,f32]>
tensor<[1,12,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,65,f32]>
tensor<[1,12,1,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,66,f32]>
tensor<[1,12,1,66,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,67,f32]>
tensor<[1,12,1,67,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,68,f32]>
tensor<[1,12,1,68,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,69,f32]>
tensor<[1,12,1,69,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,6,f32]>
tensor<[1,12,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,70,f32]>
tensor<[1,12,1,70,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,71,f32]>
tensor<[1,12,1,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,72,f32]>
tensor<[1,12,1,72,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,73,f32]>
tensor<[1,12,1,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,74,f32]>
tensor<[1,12,1,74,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,75,f32]>
tensor<[1,12,1,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,76,f32]>
tensor<[1,12,1,76,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,77,f32]>
tensor<[1,12,1,77,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,78,f32]>
tensor<[1,12,1,78,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,79,f32]>
tensor<[1,12,1,79,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,7,f32]>
tensor<[1,12,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,80,f32]>
tensor<[1,12,1,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,81,f32]>
tensor<[1,12,1,81,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,82,f32]>
tensor<[1,12,1,82,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,83,f32]>
tensor<[1,12,1,83,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,84,f32]>
tensor<[1,12,1,84,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,85,f32]>
tensor<[1,12,1,85,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,86,f32]>
tensor<[1,12,1,86,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,87,f32]>
tensor<[1,12,1,87,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,88,f32]>
tensor<[1,12,1,88,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,89,f32]>
tensor<[1,12,1,89,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,8,f32]>
tensor<[1,12,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,90,f32]>
tensor<[1,12,1,90,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,91,f32]>
tensor<[1,12,1,91,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,92,f32]>
tensor<[1,12,1,92,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,93,f32]>
tensor<[1,12,1,93,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,94,f32]>
tensor<[1,12,1,94,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,95,f32]>
tensor<[1,12,1,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,96,f32]>
tensor<[1,12,1,96,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,97,f32]>
tensor<[1,12,1,97,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,98,f32]>
tensor<[1,12,1,98,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,99,f32]>
tensor<[1,12,1,99,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,1,9,f32]>
tensor<[1,12,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,201,1,f32]>
tensor<[1,12,201,201,f32]>
tensor<[1,12,201,201,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,201,201,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,257,1,f32]>
tensor<[1,12,257,257,f32]>
tensor<[1,12,257,257,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,257,257,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,45,1,f32]>
tensor<[1,12,45,45,f32]>
tensor<[1,12,45,45,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,8,1,f32]>
tensor<[1,12,8,8,f32]>
tensor<[1,12,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,10,1,f32]>
tensor<[1,16,10,10,f32]>
tensor<[1,16,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,197,1,f32]>
tensor<[1,16,197,197,f32]>
tensor<[1,16,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,2,f32]>
tensor<[1,16,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,3,f32]>
tensor<[1,16,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,4,f32]>
tensor<[1,16,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,5,f32]>
tensor<[1,16,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,6,f32]>
tensor<[1,16,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,32,1,f32]>
tensor<[1,16,32,32,f32]>
tensor<[1,16,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,5,1,f32]>
tensor<[1,16,5,5,f32]>
tensor<[1,16,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,16384,1,f32]>
tensor<[1,1,16384,256,f32]>
tensor<[1,1,16384,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16384,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,19200,1,f32]>
tensor<[1,1,19200,300,f32]>
tensor<[1,1,19200,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,19200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,27,1,f32]>
tensor<[1,27,257,f32]>
tensor<[1,27,257,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2,4096,1,f32]>
tensor<[1,2,4096,256,f32]>
tensor<[1,2,4096,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,4096,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2,4800,1,f32]>
tensor<[1,2,4800,300,f32]>
tensor<[1,2,4800,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,4800,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,49,1,f32]>
tensor<[1,32,49,49,f32]>
tensor<[1,32,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,50257,f32]>
tensor<[1,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,5,1024,1,f32]>
tensor<[1,5,1024,256,f32]>
tensor<[1,5,1024,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,5,1200,1,f32]>
tensor<[1,5,1200,300,f32]>
tensor<[1,5,1200,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,15,1,f32]>
tensor<[1,6,15,15,f32]>
tensor<[1,6,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,10,f32]>
tensor<[1,6,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,11,f32]>
tensor<[1,6,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,12,f32]>
tensor<[1,6,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,13,f32]>
tensor<[1,6,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,14,f32]>
tensor<[1,6,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,15,f32]>
tensor<[1,6,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,16,f32]>
tensor<[1,6,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,17,f32]>
tensor<[1,6,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,18,f32]>
tensor<[1,6,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,19,f32]>
tensor<[1,6,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,20,f32]>
tensor<[1,6,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,2,f32]>
tensor<[1,6,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,3,f32]>
tensor<[1,6,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,4,f32]>
tensor<[1,6,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,5,f32]>
tensor<[1,6,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,6,f32]>
tensor<[1,6,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,7,f32]>
tensor<[1,6,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,8,f32]>
tensor<[1,6,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,f32]>
tensor<[1,6,1,9,f32]>
tensor<[1,6,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,10,1,f32]>
tensor<[1,8,10,10,f32]>
tensor<[1,8,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,10,f32]>
tensor<[1,8,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,11,f32]>
tensor<[1,8,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,12,f32]>
tensor<[1,8,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,13,f32]>
tensor<[1,8,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,14,f32]>
tensor<[1,8,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,15,f32]>
tensor<[1,8,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,16,f32]>
tensor<[1,8,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,17,f32]>
tensor<[1,8,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,18,f32]>
tensor<[1,8,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,19,f32]>
tensor<[1,8,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,20,f32]>
tensor<[1,8,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,2,f32]>
tensor<[1,8,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,3,f32]>
tensor<[1,8,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,4,f32]>
tensor<[1,8,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,5,f32]>
tensor<[1,8,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,6,f32]>
tensor<[1,8,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,7,f32]>
tensor<[1,8,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,8,f32]>
tensor<[1,8,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,1,9,f32]>
tensor<[1,8,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,2048,1,f32]>
tensor<[1,8,2048,256,f32]>
tensor<[1,8,2048,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,2048,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,256,1,f32]>
tensor<[1,8,256,2048,f32]>
tensor<[1,8,256,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,256,1,f32]>
tensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,300,1,f32]>
tensor<[1,8,300,300,f32]>
tensor<[1,8,300,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,300,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,12,13,1,f32]>
tensor<[2,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[36,12,144,1,f32]>
tensor<[36,12,144,144,f32]>
tensor<[36,12,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[36,24,144,1,f32]>
tensor<[36,24,144,144,f32]>
tensor<[36,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[484,6,144,1,f32]>
tensor<[484,6,144,144,f32]>
tensor<[484,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,16,49,1,f32]>
tensor<[4,16,49,49,f32]>
tensor<[4,16,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,48,144,1,f32]>
tensor<[4,48,144,144,f32]>
tensor<[4,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[64,1,1,f32]>
tensor<[64,1,13,f32]>
tensor<[64,1,13,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[64,4,49,1,f32]>
tensor<[64,4,49,49,f32]>
tensor<[64,4,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,4,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[8,100,1,f32]>
tensor<[8,100,100,f32]>
tensor<[8,100,100,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,100,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[8,100,1,f32]>
tensor<[8,100,920,f32]>
tensor<[8,100,920,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[8,920,1,f32]>
tensor<[8,920,920,f32]>
tensor<[8,920,920,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,920,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,24,144,1,f32]>
tensor<[9,24,144,144,f32]>
tensor<[9,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,48,144,1,f32]>
tensor<[9,48,144,144,f32]>
tensor<[9,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[100,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[100,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[100,1,256,bf16]>
tensor<[100,1,256,bf16]>
tensor<[100,1,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[100,1,256,f32]>
tensor<[1,1,256,f32]>
tensor<[100,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[100,2048,f32]>
tensor<[1,2048,f32]>
tensor<[100,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[100,256,f32]>
tensor<[1,256,f32]>
tensor<[100,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[100,4,f32]>
tensor<[1,4,f32]>
tensor<[100,4,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[100,92,f32]>
tensor<[1,92,f32]>
tensor<[100,92,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,92,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1024,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1024,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1024,160,f32]>
tensor<[1,160,f32]>
tensor<[1024,160,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1024,3072,f32]>
tensor<[1,3072,f32]>
tensor<[1024,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1024,5120,f32]>
tensor<[1,5120,f32]>
tensor<[1024,5120,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1024,6144,f32]>
tensor<[1,6144,f32]>
tensor<[1024,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1024,640,f32]>
tensor<[1,640,f32]>
tensor<[1024,640,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1024,768,f32]>
tensor<[1,768,f32]>
tensor<[1024,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[10,250002,f32]>
tensor<[1,250002,f32]>
tensor<[10,250002,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[10,250002,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[10,3072,f32]>
tensor<[1,3072,f32]>
tensor<[10,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[10,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[10,768,f32]>
tensor<[1,768,f32]>
tensor<[10,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1200,1280,f32]>
tensor<[1,1280,f32]>
tensor<[1200,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1200,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1200,320,f32]>
tensor<[1,320,f32]>
tensor<[1200,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1200,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[121,12,144,144,f32]>
tensor<[1,12,144,144,f32]>
tensor<[121,12,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (54, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[121,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[121,6,144,144,f32]>
tensor<[1,6,144,144,f32]>
tensor<[121,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (27, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1296,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1296,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1296,2304,f32]>
tensor<[1,2304,f32]>
tensor<[1296,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1296,4608,f32]>
tensor<[1,4608,f32]>
tensor<[1296,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1296,768,f32]>
tensor<[1,768,f32]>
tensor<[1296,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[12,1536,f32]>
tensor<[1,1536,f32]>
tensor<[12,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[12,256,f32]>
tensor<[1,256,f32]>
tensor<[12,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[12,2,f32]>
tensor<[1,2,f32]>
tensor<[12,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[12,3072,f32]>
tensor<[1,3072,f32]>
tensor<[12,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[12,768,f32]>
tensor<[1,768,f32]>
tensor<[12,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1370,1280,f32]>
tensor<[1,1280,f32]>
tensor<[1370,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1370,3840,f32]>
tensor<[1,3840,f32]>
tensor<[1370,3840,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 120, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1370,3840,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1370,5120,f32]>
tensor<[1,5120,f32]>
tensor<[1370,5120,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1370,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[13,2,f32]>
tensor<[1,2,f32]>
tensor<[13,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[13,3584,f32]>
tensor<[1,3584,f32]>
tensor<[13,3584,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[13,512,f32]>
tensor<[1,512,f32]>
tensor<[13,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1445,192,f32]>
tensor<[1,192,f32]>
tensor<[1445,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1445,768,f32]>
tensor<[1,768,f32]>
tensor<[1445,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1445,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[14,2048,f32]>
tensor<[1,2048,f32]>
tensor<[14,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[14,2,f32]>
tensor<[1,2,f32]>
tensor<[14,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[14,3072,f32]>
tensor<[1,3072,f32]>
tensor<[14,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[14,512,f32]>
tensor<[1,512,f32]>
tensor<[14,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[14,768,f32]>
tensor<[1,768,f32]>
tensor<[14,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1500,3072,f32]>
tensor<[1,3072,f32]>
tensor<[1500,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1500,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1500,768,f32]>
tensor<[1,768,f32]>
tensor<[1500,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[16384,128,f32]>
tensor<[1,128,f32]>
tensor<[16384,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[16384,1536,f32]>
tensor<[1,1536,f32]>
tensor<[16384,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[16384,192,f32]>
tensor<[1,192,f32]>
tensor<[16384,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[16384,32,f32]>
tensor<[1,32,f32]>
tensor<[16384,32,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[16384,384,f32]>
tensor<[1,384,f32]>
tensor<[16384,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[16384,768,f32]>
tensor<[1,768,f32]>
tensor<[16384,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[16,3072,f32]>
tensor<[1,3072,f32]>
tensor<[16,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[16,768,f32]>
tensor<[1,768,f32]>
tensor<[16,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[16,8,49,49,bf16]>
tensor<[1,8,49,49,bf16]>
tensor<[16,8,49,49,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[17424,1152,f32]>
tensor<[1,1152,f32]>
tensor<[17424,1152,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[17424,192,f32]>
tensor<[1,192,f32]>
tensor<[17424,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[17424,384,f32]>
tensor<[1,384,f32]>
tensor<[17424,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[17424,576,f32]>
tensor<[1,576,f32]>
tensor<[17424,576,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[19200,256,f32]>
tensor<[1,256,f32]>
tensor<[19200,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[19200,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[19200,64,f32]>
tensor<[1,64,f32]>
tensor<[19200,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[19200,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[196,1536,f32]>
tensor<[1,1536,f32]>
tensor<[196,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[196,3072,f32]>
tensor<[1,3072,f32]>
tensor<[196,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[196,512,f32]>
tensor<[1,512,f32]>
tensor<[196,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[196,768,f32]>
tensor<[1,768,f32]>
tensor<[196,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[197,1024,f32]>
tensor<[1,1024,f32]>
tensor<[197,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[197,3072,f32]>
tensor<[1,3072,f32]>
tensor<[197,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[197,4096,f32]>
tensor<[1,4096,f32]>
tensor<[197,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[197,768,f32]>
tensor<[1,768,f32]>
tensor<[197,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,ui32]>
tensor<[1,ui32]>
tensor<[1,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1000,f32]>
tensor<[1,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,100,14,14,f32]>
tensor<[1,100,1,1,f32]>
tensor<[1,100,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,bf16]>
tensor<[1,1024,bf16]>
tensor<[1,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,10,10,f32]>
tensor<[1,1024,1,1,f32]>
tensor<[1,1024,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,10,10,bf16]>
tensor<[1,1024,10,10,bf16]>
tensor<[1,1024,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,14,14,f32]>
tensor<[1,1024,1,1,f32]>
tensor<[1,1024,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,14,14,bf16]>
tensor<[1,1024,14,14,bf16]>
tensor<[1,1024,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,1536,f32]>
tensor<[1,1,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,160,f32]>
tensor<[1,1,160,f32]>
tensor<[1,1024,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,160,bf16]>
tensor<[1,1024,160,bf16]>
tensor<[1,1024,160,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,16,16,f32]>
tensor<[1,1024,1,1,f32]>
tensor<[1,1024,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,16,16,bf16]>
tensor<[1,1024,16,16,bf16]>
tensor<[1,1024,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,19,19,f32]>
tensor<[1,1024,1,1,f32]>
tensor<[1,1024,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,256,bf16]>
tensor<[1,1,256,bf16]>
tensor<[1,1024,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,28,28,f32]>
tensor<[1,1024,1,1,f32]>
tensor<[1,1024,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,3072,f32]>
tensor<[1,1,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,45,80,bf16]>
tensor<[1,1024,1,1,bf16]>
tensor<[1,1024,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,45,80,bf16]>
tensor<[1,1024,45,80,bf16]>
tensor<[1,1024,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,640,bf16]>
tensor<[1,1024,640,bf16]>
tensor<[1,1024,640,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,640,f32]>
tensor<[1,1,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,7,7,f32]>
tensor<[1,1024,1,1,f32]>
tensor<[1,1024,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,7,7,bf16]>
tensor<[1,1024,7,7,bf16]>
tensor<[1,1024,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1056,14,14,f32]>
tensor<[1,1056,1,1,f32]>
tensor<[1,1056,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1056,7,7,f32]>
tensor<[1,1056,1,1,f32]>
tensor<[1,1056,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1088,14,14,f32]>
tensor<[1,1088,1,1,f32]>
tensor<[1,1088,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1088,7,7,f32]>
tensor<[1,1088,1,1,f32]>
tensor<[1,1088,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,10,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,10,f32]>
tensor<[1,10,f32]>
tensor<[1,10,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,10,1024,bf16]>
tensor<[1,10,1024,bf16]>
tensor<[1,10,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,10,1536,f32]>
tensor<[1,10,1536,f32]>
tensor<[1,10,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,10,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,10,512,bf16]>
tensor<[1,10,512,bf16]>
tensor<[1,10,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,10,768,bf16]>
tensor<[1,10,768,bf16]>
tensor<[1,10,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,10,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1120,14,14,f32]>
tensor<[1,1120,1,1,f32]>
tensor<[1,1120,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1120,7,7,f32]>
tensor<[1,1120,1,1,f32]>
tensor<[1,1120,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,14,14,f32]>
tensor<[1,112,1,1,f32]>
tensor<[1,112,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,14,14,bf16]>
tensor<[1,112,14,14,bf16]>
tensor<[1,112,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,112,15,15,f32]>
tensor<[1,112,1,1,f32]>
tensor<[1,112,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,15,15,bf16]>
tensor<[1,112,15,15,bf16]>
tensor<[1,112,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,112,20,20,f32]>
tensor<[1,112,1,1,f32]>
tensor<[1,112,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,20,20,f32]>
tensor<[1,112,20,20,f32]>
tensor<[1,112,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,24,24,f32]>
tensor<[1,112,1,1,f32]>
tensor<[1,112,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,24,24,bf16]>
tensor<[1,112,24,24,bf16]>
tensor<[1,112,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,112,7,7,f32]>
tensor<[1,112,1,1,f32]>
tensor<[1,112,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1152,14,14,f32]>
tensor<[1,1152,1,1,f32]>
tensor<[1,1152,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1152,7,7,f32]>
tensor<[1,1152,1,1,f32]>
tensor<[1,1152,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1152,8,8,f32]>
tensor<[1,1152,1,1,f32]>
tensor<[1,1152,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,116,14,14,f32]>
tensor<[1,116,1,1,f32]>
tensor<[1,116,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 116 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1184,14,14,f32]>
tensor<[1,1184,1,1,f32]>
tensor<[1,1184,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1184,7,7,f32]>
tensor<[1,1184,1,1,f32]>
tensor<[1,1184,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,11,1536,f32]>
tensor<[1,11,1536,f32]>
tensor<[1,11,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,11,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,11,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,11,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,11,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1200,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1200,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1200,320,bf16]>
tensor<[1,1200,320,bf16]>
tensor<[1,1200,320,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1200,320,f32]>
tensor<[1,1,320,f32]>
tensor<[1,1200,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,14,14,f32]>
tensor<[1,120,1,1,f32]>
tensor<[1,120,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,17,17,f32]>
tensor<[1,120,1,1,f32]>
tensor<[1,120,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,17,17,bf16]>
tensor<[1,120,17,17,bf16]>
tensor<[1,120,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,120,28,28,f32]>
tensor<[1,120,1,1,f32]>
tensor<[1,120,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,40,40,f32]>
tensor<[1,120,1,1,f32]>
tensor<[1,120,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1216,14,14,f32]>
tensor<[1,1216,1,1,f32]>
tensor<[1,1216,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1216,7,7,f32]>
tensor<[1,1216,1,1,f32]>
tensor<[1,1216,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,121,12,144,144,f32]>
tensor<[1,121,1,144,144,f32]>
tensor<[1,121,12,144,144,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 17424 + d1 * 144 + d2 * 144 + d3, d4), memory_config: (545, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,121,12,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,121,6,144,144,f32]>
tensor<[1,121,1,144,144,f32]>
tensor<[1,121,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 17424 + d1 * 144 + d2 * 144 + d3, d4), memory_config: (545, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1248,14,14,f32]>
tensor<[1,1248,1,1,f32]>
tensor<[1,1248,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1248,7,7,f32]>
tensor<[1,1248,1,1,f32]>
tensor<[1,1248,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1248,9,9,f32]>
tensor<[1,1248,1,1,f32]>
tensor<[1,1248,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,f32]>
tensor<[1,1280,f32]>
tensor<[1,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,10,10,f32]>
tensor<[1,1280,1,1,f32]>
tensor<[1,1280,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,12,12,f32]>
tensor<[1,1280,1,1,f32]>
tensor<[1,1280,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,14,14,f32]>
tensor<[1,1280,1,1,f32]>
tensor<[1,1280,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,16,16,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,32,32,f32]>
tensor<[1,1280,1,1,f32]>
tensor<[1,1280,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,7,7,f32]>
tensor<[1,1280,1,1,f32]>
tensor<[1,1280,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,8,8,f32]>
tensor<[1,1280,1,1,f32]>
tensor<[1,1280,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,8,8,f32]>
tensor<[1,1280,1,1,f32]>
tensor<[1,1280,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,9,9,f32]>
tensor<[1,1280,1,1,f32]>
tensor<[1,1280,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,f32]>
tensor<[1,128,f32]>
tensor<[1,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,112,112,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,128,128,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,14,14,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,150,150,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,17,17,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,180,320,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,28,28,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,2,2,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,32,32,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,3,3,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,56,56,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,5,5,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,64,64,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,75,75,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,75,75,bf16]>
tensor<[1,128,75,75,bf16]>
tensor<[1,128,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,7,7,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,90,160,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,f32]>
tensor<[1,12,f32]>
tensor<[1,12,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,10,10,bf16]>
tensor<[1,12,10,10,bf16]>
tensor<[1,12,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,10,10,f32]>
tensor<[1,1,10,10,f32]>
tensor<[1,12,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,10,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,12,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,128,f32]>
tensor<[1,1,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,128,bf16]>
tensor<[1,12,128,bf16]>
tensor<[1,12,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,12,128,bf16]>
tensor<[1,12,12,128,bf16]>
tensor<[1,12,12,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,12,12,f32]>
tensor<[1,1,12,12,f32]>
tensor<[1,12,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,1,1,13,f32]>
tensor<[2,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,14,14,f32]>
tensor<[1,1,14,14,f32]>
tensor<[1,12,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1536,f32]>
tensor<[1,12,1536,f32]>
tensor<[1,12,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,16,16,f32]>
tensor<[1,1,16,16,f32]>
tensor<[1,12,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,197,197,bf16]>
tensor<[1,12,197,197,bf16]>
tensor<[1,12,197,197,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,12,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,12,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,12,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,10,bf16]>
tensor<[1,12,1,10,bf16]>
tensor<[1,12,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,12,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,11,bf16]>
tensor<[1,12,1,11,bf16]>
tensor<[1,12,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,128,bf16]>
tensor<[1,12,1,128,bf16]>
tensor<[1,12,1,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,12,bf16]>
tensor<[1,12,1,12,bf16]>
tensor<[1,12,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,13,bf16]>
tensor<[1,12,1,13,bf16]>
tensor<[1,12,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,13,f32]>
tensor<[1,1,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,14,bf16]>
tensor<[1,12,1,14,bf16]>
tensor<[1,12,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,14,f32]>
tensor<[1,1,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,15,bf16]>
tensor<[1,12,1,15,bf16]>
tensor<[1,12,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,15,f32]>
tensor<[1,1,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,16,bf16]>
tensor<[1,12,1,16,bf16]>
tensor<[1,12,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,16,f32]>
tensor<[1,1,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,17,bf16]>
tensor<[1,12,1,17,bf16]>
tensor<[1,12,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,17,f32]>
tensor<[1,1,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,18,bf16]>
tensor<[1,12,1,18,bf16]>
tensor<[1,12,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,18,f32]>
tensor<[1,1,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,19,bf16]>
tensor<[1,12,1,19,bf16]>
tensor<[1,12,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,19,f32]>
tensor<[1,1,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,bf16]>
tensor<[1,12,1,1,bf16]>
tensor<[1,12,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,20,bf16]>
tensor<[1,12,1,20,bf16]>
tensor<[1,12,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,20,f32]>
tensor<[1,1,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,21,f32]>
tensor<[1,1,1,21,f32]>
tensor<[1,12,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,22,f32]>
tensor<[1,1,1,22,f32]>
tensor<[1,12,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,23,f32]>
tensor<[1,1,1,23,f32]>
tensor<[1,12,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,24,f32]>
tensor<[1,1,1,24,f32]>
tensor<[1,12,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,25,f32]>
tensor<[1,1,1,25,f32]>
tensor<[1,12,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,26,f32]>
tensor<[1,1,1,26,f32]>
tensor<[1,12,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,27,f32]>
tensor<[1,1,1,27,f32]>
tensor<[1,12,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,28,f32]>
tensor<[1,1,1,28,f32]>
tensor<[1,12,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,29,f32]>
tensor<[1,1,1,29,f32]>
tensor<[1,12,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,2,bf16]>
tensor<[1,12,1,2,bf16]>
tensor<[1,12,1,2,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,3,bf16]>
tensor<[1,12,1,3,bf16]>
tensor<[1,12,1,3,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,46,f32]>
tensor<[1,1,1,46,f32]>
tensor<[1,12,1,46,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,47,f32]>
tensor<[1,1,1,47,f32]>
tensor<[1,12,1,47,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,48,f32]>
tensor<[1,1,1,48,f32]>
tensor<[1,12,1,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,49,f32]>
tensor<[1,1,1,49,f32]>
tensor<[1,12,1,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,4,bf16]>
tensor<[1,12,1,4,bf16]>
tensor<[1,12,1,4,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,50,f32]>
tensor<[1,1,1,50,f32]>
tensor<[1,12,1,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,51,f32]>
tensor<[1,1,1,51,f32]>
tensor<[1,12,1,51,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,52,f32]>
tensor<[1,1,1,52,f32]>
tensor<[1,12,1,52,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,53,f32]>
tensor<[1,1,1,53,f32]>
tensor<[1,12,1,53,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,54,f32]>
tensor<[1,1,1,54,f32]>
tensor<[1,12,1,54,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,55,f32]>
tensor<[1,1,1,55,f32]>
tensor<[1,12,1,55,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,56,f32]>
tensor<[1,1,1,56,f32]>
tensor<[1,12,1,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,57,f32]>
tensor<[1,1,1,57,f32]>
tensor<[1,12,1,57,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,58,f32]>
tensor<[1,1,1,58,f32]>
tensor<[1,12,1,58,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,59,f32]>
tensor<[1,1,1,59,f32]>
tensor<[1,12,1,59,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,5,bf16]>
tensor<[1,12,1,5,bf16]>
tensor<[1,12,1,5,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,60,f32]>
tensor<[1,1,1,60,f32]>
tensor<[1,12,1,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,61,f32]>
tensor<[1,1,1,61,f32]>
tensor<[1,12,1,61,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,62,f32]>
tensor<[1,1,1,62,f32]>
tensor<[1,12,1,62,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,63,f32]>
tensor<[1,1,1,63,f32]>
tensor<[1,12,1,63,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,64,f32]>
tensor<[1,1,1,64,f32]>
tensor<[1,12,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,65,f32]>
tensor<[1,1,1,65,f32]>
tensor<[1,12,1,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,66,f32]>
tensor<[1,1,1,66,f32]>
tensor<[1,12,1,66,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,67,f32]>
tensor<[1,1,1,67,f32]>
tensor<[1,12,1,67,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,68,f32]>
tensor<[1,1,1,68,f32]>
tensor<[1,12,1,68,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,69,f32]>
tensor<[1,1,1,69,f32]>
tensor<[1,12,1,69,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,6,bf16]>
tensor<[1,12,1,6,bf16]>
tensor<[1,12,1,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,70,f32]>
tensor<[1,1,1,70,f32]>
tensor<[1,12,1,70,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,71,f32]>
tensor<[1,1,1,71,f32]>
tensor<[1,12,1,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,72,f32]>
tensor<[1,1,1,72,f32]>
tensor<[1,12,1,72,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,73,f32]>
tensor<[1,1,1,73,f32]>
tensor<[1,12,1,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,74,f32]>
tensor<[1,1,1,74,f32]>
tensor<[1,12,1,74,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,75,f32]>
tensor<[1,1,1,75,f32]>
tensor<[1,12,1,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,76,f32]>
tensor<[1,1,1,76,f32]>
tensor<[1,12,1,76,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,77,f32]>
tensor<[1,1,1,77,f32]>
tensor<[1,12,1,77,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,78,f32]>
tensor<[1,1,1,78,f32]>
tensor<[1,12,1,78,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,79,f32]>
tensor<[1,1,1,79,f32]>
tensor<[1,12,1,79,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,7,bf16]>
tensor<[1,12,1,7,bf16]>
tensor<[1,12,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,80,f32]>
tensor<[1,1,1,80,f32]>
tensor<[1,12,1,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,81,f32]>
tensor<[1,1,1,81,f32]>
tensor<[1,12,1,81,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,82,f32]>
tensor<[1,1,1,82,f32]>
tensor<[1,12,1,82,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,83,f32]>
tensor<[1,1,1,83,f32]>
tensor<[1,12,1,83,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,84,f32]>
tensor<[1,1,1,84,f32]>
tensor<[1,12,1,84,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,85,f32]>
tensor<[1,1,1,85,f32]>
tensor<[1,12,1,85,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,86,f32]>
tensor<[1,1,1,86,f32]>
tensor<[1,12,1,86,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,87,f32]>
tensor<[1,1,1,87,f32]>
tensor<[1,12,1,87,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,88,f32]>
tensor<[1,1,1,88,f32]>
tensor<[1,12,1,88,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,89,f32]>
tensor<[1,1,1,89,f32]>
tensor<[1,12,1,89,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,8,bf16]>
tensor<[1,12,1,8,bf16]>
tensor<[1,12,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,90,f32]>
tensor<[1,1,1,90,f32]>
tensor<[1,12,1,90,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,91,f32]>
tensor<[1,1,1,91,f32]>
tensor<[1,12,1,91,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,92,f32]>
tensor<[1,1,1,92,f32]>
tensor<[1,12,1,92,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,93,f32]>
tensor<[1,1,1,93,f32]>
tensor<[1,12,1,93,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,94,f32]>
tensor<[1,1,1,94,f32]>
tensor<[1,12,1,94,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,95,f32]>
tensor<[1,1,1,95,f32]>
tensor<[1,12,1,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,96,f32]>
tensor<[1,1,1,96,f32]>
tensor<[1,12,1,96,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,97,f32]>
tensor<[1,1,1,97,f32]>
tensor<[1,12,1,97,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.addtensor<[1,12,1,98,f32]>
tensor<[1,1,1,98,f32]>
tensor<[1,12,1,98,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,99,f32]>
tensor<[1,1,1,99,f32]>
tensor<[1,12,1,99,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,9,bf16]>
tensor<[1,12,1,9,bf16]>
tensor<[1,12,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,201,201,bf16]>
tensor<[1,1,1,201,bf16]>
tensor<[1,12,201,201,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,201,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,25,25,f32]>
tensor<[1,1,25,25,f32]>
tensor<[1,12,25,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,3072,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,45,45,f32]>
tensor<[1,1,45,45,f32]>
tensor<[1,12,45,45,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,56,56,f32]>
tensor<[1,12,1,1,f32]>
tensor<[1,12,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,768,bf16]>
tensor<[1,12,768,bf16]>
tensor<[1,12,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,12,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,7,7,f32]>
tensor<[1,1,7,7,f32]>
tensor<[1,12,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,8,8,bf16]>
tensor<[1,1,1,8,bf16]>
tensor<[1,12,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,9,9,f32]>
tensor<[1,1,9,9,f32]>
tensor<[1,12,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1312,14,14,f32]>
tensor<[1,1312,1,1,f32]>
tensor<[1,1312,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1312,7,7,f32]>
tensor<[1,1312,1,1,f32]>
tensor<[1,1312,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1344,14,14,f32]>
tensor<[1,1344,1,1,f32]>
tensor<[1,1344,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1344,14,14,bf16]>
tensor<[1,1344,14,14,bf16]>
tensor<[1,1344,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1344,28,28,f32]>
tensor<[1,1344,1,1,f32]>
tensor<[1,1344,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1344,7,7,f32]>
tensor<[1,1344,1,1,f32]>
tensor<[1,1344,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,134,28,28,f32]>
tensor<[1,134,1,1,f32]>
tensor<[1,134,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 134 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,136,19,19,f32]>
tensor<[1,136,1,1,f32]>
tensor<[1,136,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,136,19,19,bf16]>
tensor<[1,136,19,19,bf16]>
tensor<[1,136,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,136,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1370,1280,f32]>
tensor<[1,1,1280,f32]>
tensor<[1,1370,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1370,1280,bf16]>
tensor<[1,1370,1280,bf16]>
tensor<[1,1370,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1370,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1370,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1376,14,14,f32]>
tensor<[1,1376,1,1,f32]>
tensor<[1,1376,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1376,7,7,f32]>
tensor<[1,1376,1,1,f32]>
tensor<[1,1376,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1392,10,10,f32]>
tensor<[1,1392,1,1,f32]>
tensor<[1,1392,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1392,14,14,f32]>
tensor<[1,1392,1,1,f32]>
tensor<[1,1392,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1392,14,14,bf16]>
tensor<[1,1392,14,14,bf16]>
tensor<[1,1392,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1392,28,28,f32]>
tensor<[1,1392,1,1,f32]>
tensor<[1,1392,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,13,1536,f32]>
tensor<[1,13,1536,f32]>
tensor<[1,13,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,13,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,13,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,13,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,13,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,13,3584,bf16]>
tensor<[1,13,3584,bf16]>
tensor<[1,13,3584,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1408,14,14,f32]>
tensor<[1,1408,1,1,f32]>
tensor<[1,1408,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1408,7,7,f32]>
tensor<[1,1408,1,1,f32]>
tensor<[1,1408,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1440,14,14,f32]>
tensor<[1,1440,1,1,f32]>
tensor<[1,1440,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1440,7,7,f32]>
tensor<[1,1440,1,1,f32]>
tensor<[1,1440,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1445,192,f32]>
tensor<[1,1,192,f32]>
tensor<[1,1445,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1445,192,bf16]>
tensor<[1,1445,192,bf16]>
tensor<[1,1445,192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1445,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1445,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,14,14,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,150,150,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,190,190,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,28,28,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,30,30,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,33,33,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,56,56,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,60,60,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,65,65,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,75,75,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,7,7,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,7,7,bf16]>
tensor<[1,144,7,7,bf16]>
tensor<[1,144,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,144,95,95,f32]>
tensor<[1,144,1,1,f32]>
tensor<[1,144,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1472,14,14,f32]>
tensor<[1,1472,1,1,f32]>
tensor<[1,1472,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1472,7,7,f32]>
tensor<[1,1472,1,1,f32]>
tensor<[1,1472,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,128,f32]>
tensor<[1,1,128,f32]>
tensor<[1,14,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,128,bf16]>
tensor<[1,14,128,bf16]>
tensor<[1,14,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,14,14,1024,f32]>
tensor<[1,1,1,1024,f32]>
tensor<[1,14,14,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,14,1,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,14,14,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,14,2048,bf16]>
tensor<[1,1,1,2048,bf16]>
tensor<[1,14,14,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,14,14,512,bf16]>
tensor<[1,14,14,512,bf16]>
tensor<[1,14,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,14,14,512,f32]>
tensor<[1,1,1,512,f32]>
tensor<[1,14,14,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1536,f32]>
tensor<[1,14,1536,f32]>
tensor<[1,14,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,14,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,14,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,3072,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,14,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,14,56,56,f32]>
tensor<[1,14,1,1,f32]>
tensor<[1,14,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,768,bf16]>
tensor<[1,14,768,bf16]>
tensor<[1,14,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,14,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,14,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1500,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1500,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1500,768,bf16]>
tensor<[1,1500,768,bf16]>
tensor<[1,1500,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1500,768,bf16]>
tensor<[1,1500,768,bf16]>
tensor<[1,1500,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1500,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1500,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1504,14,14,f32]>
tensor<[1,1504,1,1,f32]>
tensor<[1,1504,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1504,7,7,f32]>
tensor<[1,1504,1,1,f32]>
tensor<[1,1504,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,10,10,f32]>
tensor<[1,1536,1,1,f32]>
tensor<[1,1536,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,14,14,f32]>
tensor<[1,1536,1,1,f32]>
tensor<[1,1536,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,7,7,f32]>
tensor<[1,1536,1,1,f32]>
tensor<[1,1536,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1568,14,14,f32]>
tensor<[1,1568,1,1,f32]>
tensor<[1,1568,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1568,7,7,f32]>
tensor<[1,1568,1,1,f32]>
tensor<[1,1568,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,15,1024,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,15,1536,f32]>
tensor<[1,15,1536,f32]>
tensor<[1,15,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,15,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,15,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,15,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,15,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,15,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,15,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,15,512,bf16]>
tensor<[1,15,512,bf16]>
tensor<[1,15,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1600,14,14,f32]>
tensor<[1,1600,1,1,f32]>
tensor<[1,1600,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1600,7,7,f32]>
tensor<[1,1600,1,1,f32]>
tensor<[1,1600,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,14,14,f32]>
tensor<[1,160,1,1,f32]>
tensor<[1,160,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,24,24,f32]>
tensor<[1,160,1,1,f32]>
tensor<[1,160,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,24,24,bf16]>
tensor<[1,160,24,24,bf16]>
tensor<[1,160,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,160,28,28,f32]>
tensor<[1,160,1,1,f32]>
tensor<[1,160,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,56,56,f32]>
tensor<[1,160,1,1,f32]>
tensor<[1,160,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,7,7,f32]>
tensor<[1,160,1,1,f32]>
tensor<[1,160,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,7,7,bf16]>
tensor<[1,160,7,7,bf16]>
tensor<[1,160,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1632,12,12,f32]>
tensor<[1,1632,1,1,f32]>
tensor<[1,1632,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1632,14,14,f32]>
tensor<[1,1632,1,1,f32]>
tensor<[1,1632,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1632,7,7,f32]>
tensor<[1,1632,1,1,f32]>
tensor<[1,1632,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,192,f32]>
tensor<[1,1,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,16384,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,256,bf16]>
tensor<[1,1,256,bf16]>
tensor<[1,16384,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16384,32,bf16]>
tensor<[1,16384,32,bf16]>
tensor<[1,16384,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16384,32,f32]>
tensor<[1,1,32,f32]>
tensor<[1,16384,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,384,f32]>
tensor<[1,1,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1664,14,14,f32]>
tensor<[1,1664,1,1,f32]>
tensor<[1,1664,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1664,7,7,f32]>
tensor<[1,1664,1,1,f32]>
tensor<[1,1664,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,168,28,28,f32]>
tensor<[1,168,1,1,f32]>
tensor<[1,168,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1696,14,14,f32]>
tensor<[1,1696,1,1,f32]>
tensor<[1,1696,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1696,7,7,f32]>
tensor<[1,1696,1,1,f32]>
tensor<[1,1696,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,10,10,bf16]>
tensor<[1,16,10,10,bf16]>
tensor<[1,16,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,10,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,16,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,112,112,f32]>
tensor<[1,16,1,1,f32]>
tensor<[1,16,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,120,120,f32]>
tensor<[1,16,1,1,f32]>
tensor<[1,16,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,130,130,f32]>
tensor<[1,16,1,1,f32]>
tensor<[1,16,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,14,14,f32]>
tensor<[1,16,1,1,f32]>
tensor<[1,16,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,160,160,f32]>
tensor<[1,16,1,1,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,197,197,bf16]>
tensor<[1,16,197,197,bf16]>
tensor<[1,16,197,197,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,16,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,10,bf16]>
tensor<[1,16,1,10,bf16]>
tensor<[1,16,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,16,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,11,bf16]>
tensor<[1,16,1,11,bf16]>
tensor<[1,16,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,11,f32]>
tensor<[1,1,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,12,bf16]>
tensor<[1,16,1,12,bf16]>
tensor<[1,16,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,12,f32]>
tensor<[1,1,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,13,bf16]>
tensor<[1,16,1,13,bf16]>
tensor<[1,16,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,13,f32]>
tensor<[1,1,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,14,bf16]>
tensor<[1,16,1,14,bf16]>
tensor<[1,16,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,14,f32]>
tensor<[1,1,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,15,bf16]>
tensor<[1,16,1,15,bf16]>
tensor<[1,16,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,15,f32]>
tensor<[1,1,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,16,bf16]>
tensor<[1,16,1,16,bf16]>
tensor<[1,16,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,16,f32]>
tensor<[1,1,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,17,bf16]>
tensor<[1,16,1,17,bf16]>
tensor<[1,16,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,17,f32]>
tensor<[1,1,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,18,bf16]>
tensor<[1,16,1,18,bf16]>
tensor<[1,16,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,18,f32]>
tensor<[1,1,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,19,bf16]>
tensor<[1,16,1,19,bf16]>
tensor<[1,16,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,19,f32]>
tensor<[1,1,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,bf16]>
tensor<[1,16,1,1,bf16]>
tensor<[1,16,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,20,bf16]>
tensor<[1,16,1,20,bf16]>
tensor<[1,16,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,20,f32]>
tensor<[1,1,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,21,f32]>
tensor<[1,1,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,22,f32]>
tensor<[1,1,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,23,f32]>
tensor<[1,1,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,24,f32]>
tensor<[1,1,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,25,f32]>
tensor<[1,1,1,25,f32]>
tensor<[1,16,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,26,f32]>
tensor<[1,1,1,26,f32]>
tensor<[1,16,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,27,f32]>
tensor<[1,1,1,27,f32]>
tensor<[1,16,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,28,f32]>
tensor<[1,1,1,28,f32]>
tensor<[1,16,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,29,f32]>
tensor<[1,1,1,29,f32]>
tensor<[1,16,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,2,bf16]>
tensor<[1,16,1,2,bf16]>
tensor<[1,16,1,2,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,3,bf16]>
tensor<[1,16,1,3,bf16]>
tensor<[1,16,1,3,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,4,bf16]>
tensor<[1,16,1,4,bf16]>
tensor<[1,16,1,4,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,5,bf16]>
tensor<[1,16,1,5,bf16]>
tensor<[1,16,1,5,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,6,bf16]>
tensor<[1,16,1,6,bf16]>
tensor<[1,16,1,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,6,f32]>
tensor<[1,1,1,6,f32]>
tensor<[1,16,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,7,bf16]>
tensor<[1,16,1,7,bf16]>
tensor<[1,16,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,7,f32]>
tensor<[1,1,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,8,bf16]>
tensor<[1,16,1,8,bf16]>
tensor<[1,16,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,8,f32]>
tensor<[1,1,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,9,bf16]>
tensor<[1,16,1,9,bf16]>
tensor<[1,16,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,1,9,f32]>
tensor<[1,1,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,224,224,f32]>
tensor<[1,16,1,1,f32]>
tensor<[1,16,224,224,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,256,256,f32]>
tensor<[1,1,256,256,f32]>
tensor<[1,16,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,28,28,f32]>
tensor<[1,16,1,1,f32]>
tensor<[1,16,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,32,32,bf16]>
tensor<[1,1,32,32,bf16]>
tensor<[1,16,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,56,56,f32]>
tensor<[1,16,1,1,f32]>
tensor<[1,16,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,5,5,f32]>
tensor<[1,1,5,5,f32]>
tensor<[1,16,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,6,6,f32]>
tensor<[1,1,6,6,f32]>
tensor<[1,16,6,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,768,bf16]>
tensor<[1,16,768,bf16]>
tensor<[1,16,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,16,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,8,49,49,bf16]>
tensor<[1,16,1,49,49,bf16]>
tensor<[1,16,8,49,49,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 784 + d1 * 49 + d2 * 49 + d3, d4), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,9,9,f32]>
tensor<[1,1,9,9,f32]>
tensor<[1,16,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1728,14,14,f32]>
tensor<[1,1728,1,1,f32]>
tensor<[1,1728,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1728,7,7,f32]>
tensor<[1,1728,1,1,f32]>
tensor<[1,1728,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1760,14,14,f32]>
tensor<[1,1760,1,1,f32]>
tensor<[1,1760,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1760,7,7,f32]>
tensor<[1,1760,1,1,f32]>
tensor<[1,1760,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1792,14,14,f32]>
tensor<[1,1792,1,1,f32]>
tensor<[1,1792,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1792,7,7,f32]>
tensor<[1,1792,1,1,f32]>
tensor<[1,1792,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1824,7,7,f32]>
tensor<[1,1824,1,1,f32]>
tensor<[1,1824,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,184,14,14,f32]>
tensor<[1,184,1,1,f32]>
tensor<[1,184,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,184,20,20,f32]>
tensor<[1,184,1,1,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,184,7,7,f32]>
tensor<[1,184,1,1,f32]>
tensor<[1,184,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1856,7,7,f32]>
tensor<[1,1856,1,1,f32]>
tensor<[1,1856,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1856 + d1 + d2, d3), memory_config: (58, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1888,7,7,f32]>
tensor<[1,1888,1,1,f32]>
tensor<[1,1888,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1888 + d1 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,14,14,f32]>
tensor<[1,18,1,1,f32]>
tensor<[1,18,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,28,28,f32]>
tensor<[1,18,1,1,f32]>
tensor<[1,18,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,56,56,f32]>
tensor<[1,18,1,1,f32]>
tensor<[1,18,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,56,56,bf16]>
tensor<[1,18,56,56,bf16]>
tensor<[1,18,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,18,7,7,f32]>
tensor<[1,18,1,1,f32]>
tensor<[1,18,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,19200,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,19200,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,19200,64,bf16]>
tensor<[1,19200,64,bf16]>
tensor<[1,19200,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,19200,64,f32]>
tensor<[1,1,64,f32]>
tensor<[1,19200,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1920,16,16,f32]>
tensor<[1,1920,1,1,f32]>
tensor<[1,1920,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1920,32,32,f32]>
tensor<[1,1920,1,1,f32]>
tensor<[1,1920,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1920,7,7,f32]>
tensor<[1,1920,1,1,f32]>
tensor<[1,1920,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,14,14,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,17,17,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,28,28,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,35,35,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,38,38,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,48,48,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,56,56,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,75,75,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,7,7,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,7,7,bf16]>
tensor<[1,192,7,7,bf16]>
tensor<[1,192,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,192,8,8,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,8,8,bf16]>
tensor<[1,192,8,8,bf16]>
tensor<[1,192,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,192,95,95,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,193,768,bf16]>
tensor<[1,193,768,bf16]>
tensor<[1,193,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 193 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 193 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 193 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,193,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 193 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,196,14,14,f32]>
tensor<[1,196,1,1,f32]>
tensor<[1,196,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,196,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,196,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,196,768,bf16]>
tensor<[1,196,768,bf16]>
tensor<[1,196,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,196,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,196,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,197,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,1024,bf16]>
tensor<[1,197,1024,bf16]>
tensor<[1,197,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,197,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,197,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,768,bf16]>
tensor<[1,197,768,bf16]>
tensor<[1,197,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,197,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,197,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1,f32]>
tensor<[1,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1,f32]>
tensor<[1,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1,f32]>
tensor<[1,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,1,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1024,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,12,12,bf16]>
tensor<[1,1,1,12,bf16]>
tensor<[1,1,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,13,13,bf16]>
tensor<[1,1,1,13,bf16]>
tensor<[1,1,13,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1536,bf16]>
tensor<[1,1,1536,bf16]>
tensor<[1,1,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,16,32,f32]>
tensor<[1,1,16,32,f32]>
tensor<[1,1,16,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,46,bf16]>
tensor<[1,1,1,46,bf16]>
tensor<[1,1,1,46,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,47,bf16]>
tensor<[1,1,1,47,bf16]>
tensor<[1,1,1,47,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,48,bf16]>
tensor<[1,1,1,48,bf16]>
tensor<[1,1,1,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,49,bf16]>
tensor<[1,1,1,49,bf16]>
tensor<[1,1,1,49,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,50,bf16]>
tensor<[1,1,1,50,bf16]>
tensor<[1,1,1,50,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,51,bf16]>
tensor<[1,1,1,51,bf16]>
tensor<[1,1,1,51,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,52,bf16]>
tensor<[1,1,1,52,bf16]>
tensor<[1,1,1,52,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,53,bf16]>
tensor<[1,1,1,53,bf16]>
tensor<[1,1,1,53,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,54,bf16]>
tensor<[1,1,1,54,bf16]>
tensor<[1,1,1,54,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,55,bf16]>
tensor<[1,1,1,55,bf16]>
tensor<[1,1,1,55,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,56,bf16]>
tensor<[1,1,1,56,bf16]>
tensor<[1,1,1,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,57,bf16]>
tensor<[1,1,1,57,bf16]>
tensor<[1,1,1,57,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,58,bf16]>
tensor<[1,1,1,58,bf16]>
tensor<[1,1,1,58,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,59,bf16]>
tensor<[1,1,1,59,bf16]>
tensor<[1,1,1,59,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,60,bf16]>
tensor<[1,1,1,60,bf16]>
tensor<[1,1,1,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,61,bf16]>
tensor<[1,1,1,61,bf16]>
tensor<[1,1,1,61,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,62,bf16]>
tensor<[1,1,1,62,bf16]>
tensor<[1,1,1,62,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,63,bf16]>
tensor<[1,1,1,63,bf16]>
tensor<[1,1,1,63,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,64,bf16]>
tensor<[1,1,1,64,bf16]>
tensor<[1,1,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,65,bf16]>
tensor<[1,1,1,65,bf16]>
tensor<[1,1,1,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,66,bf16]>
tensor<[1,1,1,66,bf16]>
tensor<[1,1,1,66,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,67,bf16]>
tensor<[1,1,1,67,bf16]>
tensor<[1,1,1,67,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,68,bf16]>
tensor<[1,1,1,68,bf16]>
tensor<[1,1,1,68,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,69,bf16]>
tensor<[1,1,1,69,bf16]>
tensor<[1,1,1,69,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,6,bf16]>
tensor<[1,1,1,6,bf16]>
tensor<[1,1,1,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,70,bf16]>
tensor<[1,1,1,70,bf16]>
tensor<[1,1,1,70,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,71,bf16]>
tensor<[1,1,1,71,bf16]>
tensor<[1,1,1,71,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,72,bf16]>
tensor<[1,1,1,72,bf16]>
tensor<[1,1,1,72,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,73,bf16]>
tensor<[1,1,1,73,bf16]>
tensor<[1,1,1,73,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,74,bf16]>
tensor<[1,1,1,74,bf16]>
tensor<[1,1,1,74,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,75,bf16]>
tensor<[1,1,1,75,bf16]>
tensor<[1,1,1,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,76,bf16]>
tensor<[1,1,1,76,bf16]>
tensor<[1,1,1,76,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,77,bf16]>
tensor<[1,1,1,77,bf16]>
tensor<[1,1,1,77,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,78,bf16]>
tensor<[1,1,1,78,bf16]>
tensor<[1,1,1,78,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,79,bf16]>
tensor<[1,1,1,79,bf16]>
tensor<[1,1,1,79,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,80,bf16]>
tensor<[1,1,1,80,bf16]>
tensor<[1,1,1,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,81,bf16]>
tensor<[1,1,1,81,bf16]>
tensor<[1,1,1,81,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,82,bf16]>
tensor<[1,1,1,82,bf16]>
tensor<[1,1,1,82,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,83,bf16]>
tensor<[1,1,1,83,bf16]>
tensor<[1,1,1,83,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,84,bf16]>
tensor<[1,1,1,84,bf16]>
tensor<[1,1,1,84,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,85,bf16]>
tensor<[1,1,1,85,bf16]>
tensor<[1,1,1,85,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,86,bf16]>
tensor<[1,1,1,86,bf16]>
tensor<[1,1,1,86,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,87,bf16]>
tensor<[1,1,1,87,bf16]>
tensor<[1,1,1,87,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,88,bf16]>
tensor<[1,1,1,88,bf16]>
tensor<[1,1,1,88,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,89,bf16]>
tensor<[1,1,1,89,bf16]>
tensor<[1,1,1,89,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,90,bf16]>
tensor<[1,1,1,90,bf16]>
tensor<[1,1,1,90,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,91,bf16]>
tensor<[1,1,1,91,bf16]>
tensor<[1,1,1,91,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,92,bf16]>
tensor<[1,1,1,92,bf16]>
tensor<[1,1,1,92,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,93,bf16]>
tensor<[1,1,1,93,bf16]>
tensor<[1,1,1,93,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,94,bf16]>
tensor<[1,1,1,94,bf16]>
tensor<[1,1,1,94,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,95,bf16]>
tensor<[1,1,1,95,bf16]>
tensor<[1,1,1,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,96,bf16]>
tensor<[1,1,1,96,bf16]>
tensor<[1,1,1,96,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,97,bf16]>
tensor<[1,1,1,97,bf16]>
tensor<[1,1,1,97,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,98,bf16]>
tensor<[1,1,1,98,bf16]>
tensor<[1,1,1,98,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,99,bf16]>
tensor<[1,1,1,99,bf16]>
tensor<[1,1,1,99,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,224,224,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,224,224,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,224,224,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,3072,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,32,32,bf16]>
tensor<[1,1,1,32,bf16]>
tensor<[1,1,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,4096,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,45,45,bf16]>
tensor<[1,1,1,45,bf16]>
tensor<[1,1,45,45,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,512,bf16]>
tensor<[1,1,512,bf16]>
tensor<[1,1,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,5,5,bf16]>
tensor<[1,1,1,5,bf16]>
tensor<[1,1,5,5,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,768,bf16]>
tensor<[1,1,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,7,64,bf16]>
tensor<[1,1,7,64,bf16]>
tensor<[1,1,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,7,7,bf16]>
tensor<[1,1,1,7,bf16]>
tensor<[1,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,200,14,14,f32]>
tensor<[1,200,1,1,f32]>
tensor<[1,200,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,200,20,20,f32]>
tensor<[1,200,1,1,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,200,7,7,f32]>
tensor<[1,200,1,1,f32]>
tensor<[1,200,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,201,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,201,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,201,768,bf16]>
tensor<[1,201,768,bf16]>
tensor<[1,201,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,201,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,201,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,10,10,f32]>
tensor<[1,2048,1,1,f32]>
tensor<[1,2048,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,14,14,f32]>
tensor<[1,2048,1,1,f32]>
tensor<[1,2048,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,2048,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,23,40,bf16]>
tensor<[1,2048,1,1,bf16]>
tensor<[1,2048,23,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2048,23,40,bf16]>
tensor<[1,2048,23,40,bf16]>
tensor<[1,2048,23,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2048,768,bf16]>
tensor<[1,2048,768,bf16]>
tensor<[1,2048,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2048,768,bf16]>
tensor<[1,2048,768,bf16]>
tensor<[1,2048,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2048,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,7,7,bf16]>
tensor<[1,2048,7,7,bf16]>
tensor<[1,2048,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2048,7,7,f32]>
tensor<[1,2048,1,1,f32]>
tensor<[1,2048,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,208,14,14,f32]>
tensor<[1,208,1,1,f32]>
tensor<[1,208,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,208,9,9,bf16]>
tensor<[1,208,9,9,bf16]>
tensor<[1,208,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,208,9,9,f32]>
tensor<[1,208,1,1,f32]>
tensor<[1,208,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,20,28,28,f32]>
tensor<[1,20,1,1,f32]>
tensor<[1,20,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,21843,f32]>
tensor<[1,21843,f32]>
tensor<[1,21843,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,21843,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,14,14,f32]>
tensor<[1,224,1,1,f32]>
tensor<[1,224,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,17,17,f32]>
tensor<[1,224,1,1,f32]>
tensor<[1,224,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,28,28,f32]>
tensor<[1,224,1,1,f32]>
tensor<[1,224,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,35,35,f32]>
tensor<[1,224,1,1,f32]>
tensor<[1,224,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,56,56,f32]>
tensor<[1,224,1,1,f32]>
tensor<[1,224,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,7,7,f32]>
tensor<[1,224,1,1,f32]>
tensor<[1,224,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,232,10,10,bf16]>
tensor<[1,232,10,10,bf16]>
tensor<[1,232,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,232,10,10,f32]>
tensor<[1,232,1,1,f32]>
tensor<[1,232,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,232,112,112,f32]>
tensor<[1,232,1,1,f32]>
tensor<[1,232,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,232,56,56,bf16]>
tensor<[1,232,56,56,bf16]>
tensor<[1,232,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,232,56,56,f32]>
tensor<[1,232,1,1,f32]>
tensor<[1,232,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,14,14,f32]>
tensor<[1,240,1,1,f32]>
tensor<[1,240,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,15,15,f32]>
tensor<[1,240,1,1,f32]>
tensor<[1,240,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,20,20,f32]>
tensor<[1,240,1,1,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,28,28,f32]>
tensor<[1,240,1,1,f32]>
tensor<[1,240,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,30,30,f32]>
tensor<[1,240,1,1,f32]>
tensor<[1,240,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,40,40,f32]>
tensor<[1,240,1,1,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,112,112,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,14,14,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,150,150,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,190,190,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,28,28,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,32,128,bf16]>
tensor<[1,24,32,128,bf16]>
tensor<[1,24,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,32,32,f32]>
tensor<[1,1,32,32,f32]>
tensor<[1,24,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,56,56,bf16]>
tensor<[1,24,56,56,bf16]>
tensor<[1,24,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,56,56,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,60,60,bf16]>
tensor<[1,24,60,60,bf16]>
tensor<[1,24,60,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,60,60,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,65,65,bf16]>
tensor<[1,24,65,65,bf16]>
tensor<[1,24,65,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,65,65,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,80,80,f32]>
tensor<[1,24,80,80,f32]>
tensor<[1,24,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,80,80,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2520,14,14,f32]>
tensor<[1,2520,1,1,f32]>
tensor<[1,2520,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2520,7,7,bf16]>
tensor<[1,2520,7,7,bf16]>
tensor<[1,2520,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2520,7,7,f32]>
tensor<[1,2520,1,1,f32]>
tensor<[1,2520,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2560,16,16,f32]>
tensor<[1,2560,1,1,f32]>
tensor<[1,2560,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2560,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2560,8,8,f32]>
tensor<[1,2560,1,1,f32]>
tensor<[1,2560,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2560,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,f32]>
tensor<[1,256,f32]>
tensor<[1,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1024,bf16]>
tensor<[1,256,1024,bf16]>
tensor<[1,256,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,10,10,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1280,f32]>
tensor<[1,1,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1280,bf16]>
tensor<[1,256,1280,bf16]>
tensor<[1,256,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,128,128,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,14,14,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1536,f32]>
tensor<[1,1,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,160,f32]>
tensor<[1,1,160,f32]>
tensor<[1,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,16,16,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,17,17,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,180,320,bf16]>
tensor<[1,256,180,320,bf16]>
tensor<[1,256,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,180,320,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,256,bf16]>
tensor<[1,256,256,bf16]>
tensor<[1,256,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,256,f32]>
tensor<[1,1,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,28,28,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,2,2,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,3072,f32]>
tensor<[1,1,3072,f32]>
tensor<[1,256,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,32,f32]>
tensor<[1,1,32,f32]>
tensor<[1,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,32,32,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,38,38,bf16]>
tensor<[1,256,38,38,bf16]>
tensor<[1,256,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,38,38,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,3,3,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,45,80,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,512,bf16]>
tensor<[1,256,512,bf16]>
tensor<[1,256,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,512,f32]>
tensor<[1,1,512,f32]>
tensor<[1,256,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,56,56,bf16]>
tensor<[1,256,56,56,bf16]>
tensor<[1,256,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,56,56,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,5,5,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,64,f32]>
tensor<[1,1,64,f32]>
tensor<[1,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,64,64,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,75,75,bf16]>
tensor<[1,256,75,75,bf16]>
tensor<[1,256,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,75,75,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,7,7,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,8,8,f32]>
tensor<[1,256,1,1,f32]>
tensor<[1,256,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,90,160,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,257,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,257,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,257,768,bf16]>
tensor<[1,257,768,bf16]>
tensor<[1,257,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,257,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,257,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,25,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,25,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,25,768,bf16]>
tensor<[1,25,768,bf16]>
tensor<[1,25,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,25,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,25,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,272,12,12,bf16]>
tensor<[1,272,12,12,bf16]>
tensor<[1,272,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,272,12,12,f32]>
tensor<[1,272,1,1,f32]>
tensor<[1,272,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,272,7,7,f32]>
tensor<[1,272,1,1,f32]>
tensor<[1,272,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,27,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,27,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,27,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,27,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,14,14,f32]>
tensor<[1,288,1,1,f32]>
tensor<[1,288,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,17,17,f32]>
tensor<[1,288,1,1,f32]>
tensor<[1,288,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,19,19,f32]>
tensor<[1,288,1,1,f32]>
tensor<[1,288,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,28,28,f32]>
tensor<[1,288,1,1,f32]>
tensor<[1,288,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,33,33,f32]>
tensor<[1,288,1,1,f32]>
tensor<[1,288,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,38,38,f32]>
tensor<[1,288,1,1,f32]>
tensor<[1,288,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,13,128,bf16]>
tensor<[1,28,13,128,bf16]>
tensor<[1,28,13,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,28,13,13,f32]>
tensor<[1,1,13,13,f32]>
tensor<[1,28,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,28,1024,bf16]>
tensor<[1,1,1,1024,bf16]>
tensor<[1,28,28,1024,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,28,28,1,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,28,28,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,28,256,bf16]>
tensor<[1,28,28,256,bf16]>
tensor<[1,28,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,28,28,256,f32]>
tensor<[1,1,1,256,f32]>
tensor<[1,28,28,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,28,28,f32]>
tensor<[1,28,1,1,f32]>
tensor<[1,28,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,28,512,f32]>
tensor<[1,1,1,512,f32]>
tensor<[1,28,28,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2,f32]>
tensor<[1,2,f32]>
tensor<[1,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2,12,128,bf16]>
tensor<[1,2,12,128,bf16]>
tensor<[1,2,12,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,1,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,300,128,f32]>
tensor<[1,1,128,f32]>
tensor<[1,300,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,300,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,320,f32]>
tensor<[1,1,320,f32]>
tensor<[1,300,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,512,bf16]>
tensor<[1,300,512,bf16]>
tensor<[1,300,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,300,512,f32]>
tensor<[1,1,512,f32]>
tensor<[1,300,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,64,f32]>
tensor<[1,1,64,f32]>
tensor<[1,300,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,f32]>
tensor<[1,3072,f32]>
tensor<[1,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,16,f32]>
tensor<[1,3072,16,f32]>
tensor<[1,3072,16,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3129,f32]>
tensor<[1,3129,f32]>
tensor<[1,3129,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3129,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,14,14,f32]>
tensor<[1,320,1,1,f32]>
tensor<[1,320,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,17,17,f32]>
tensor<[1,320,1,1,f32]>
tensor<[1,320,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,28,28,f32]>
tensor<[1,320,1,1,f32]>
tensor<[1,320,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,32,32,f32]>
tensor<[1,320,1,1,f32]>
tensor<[1,320,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,64,64,f32]>
tensor<[1,320,1,1,f32]>
tensor<[1,320,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,64,64,bf16]>
tensor<[1,320,64,64,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,7,7,f32]>
tensor<[1,320,1,1,f32]>
tensor<[1,320,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,8,8,f32]>
tensor<[1,320,1,1,f32]>
tensor<[1,320,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,112,112,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,120,120,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,120,160,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,120,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,128,128,bf16]>
tensor<[1,32,128,128,bf16]>
tensor<[1,32,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,128,128,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,130,130,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,147,147,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,147,147,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,149,149,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,149,149,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,14,14,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,150,150,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1536,f32]>
tensor<[1,1,1536,f32]>
tensor<[1,32,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1536,bf16]>
tensor<[1,32,1536,bf16]>
tensor<[1,32,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,190,190,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,32,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,32,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,256,256,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,28,28,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,3072,bf16]>
tensor<[1,32,3072,bf16]>
tensor<[1,32,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,30,40,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,30,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,32,128,bf16]>
tensor<[1,32,32,128,bf16]>
tensor<[1,32,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,32,32,f32]>
tensor<[1,1,32,32,f32]>
tensor<[1,32,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,4096,bf16]>
tensor<[1,32,4096,bf16]>
tensor<[1,32,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,49,49,bf16]>
tensor<[1,32,49,49,bf16]>
tensor<[1,32,49,49,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,512,512,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,512,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,56,56,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,60,80,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,60,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,6144,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,32,6144,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,6144,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,32,6144,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,75,75,bf16]>
tensor<[1,32,75,75,bf16]>
tensor<[1,32,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,75,75,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,7,7,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,95,95,bf16]>
tensor<[1,32,95,95,bf16]>
tensor<[1,32,95,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,95,95,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,334,14,14,f32]>
tensor<[1,334,1,1,f32]>
tensor<[1,334,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 334 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,112,112,f32]>
tensor<[1,336,1,1,f32]>
tensor<[1,336,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,14,14,f32]>
tensor<[1,336,1,1,f32]>
tensor<[1,336,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,24,24,f32]>
tensor<[1,336,1,1,f32]>
tensor<[1,336,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,48,48,f32]>
tensor<[1,336,1,1,f32]>
tensor<[1,336,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,56,56,bf16]>
tensor<[1,336,56,56,bf16]>
tensor<[1,336,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,336,56,56,f32]>
tensor<[1,336,1,1,f32]>
tensor<[1,336,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,34,28,28,f32]>
tensor<[1,34,1,1,f32]>
tensor<[1,34,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,352,14,14,f32]>
tensor<[1,352,1,1,f32]>
tensor<[1,352,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,352,28,28,f32]>
tensor<[1,352,1,1,f32]>
tensor<[1,352,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,352,9,9,f32]>
tensor<[1,352,1,1,f32]>
tensor<[1,352,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,12,144,144,f32]>
tensor<[1,36,1,144,144,f32]>
tensor<[1,36,12,144,144,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 5184 + d1 * 144 + d2 * 144 + d3, d4), memory_config: (162, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,14,14,f32]>
tensor<[1,36,1,1,f32]>
tensor<[1,36,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,24,144,144,f32]>
tensor<[1,36,1,144,144,f32]>
tensor<[1,36,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 5184 + d1 * 144 + d2 * 144 + d3, d4), memory_config: (162, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,28,28,bf16]>
tensor<[1,36,28,28,bf16]>
tensor<[1,36,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,36,28,28,f32]>
tensor<[1,36,1,1,f32]>
tensor<[1,36,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,56,56,f32]>
tensor<[1,36,1,1,f32]>
tensor<[1,36,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,7,7,f32]>
tensor<[1,36,1,1,f32]>
tensor<[1,36,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3712,14,14,f32]>
tensor<[1,3712,1,1,f32]>
tensor<[1,3712,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3712,7,7,bf16]>
tensor<[1,3712,7,7,bf16]>
tensor<[1,3712,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3712,7,7,f32]>
tensor<[1,3712,1,1,f32]>
tensor<[1,3712,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,10,10,f32]>
tensor<[1,384,1,1,f32]>
tensor<[1,384,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,14,14,f32]>
tensor<[1,384,1,1,f32]>
tensor<[1,384,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,17,17,f32]>
tensor<[1,384,1,1,f32]>
tensor<[1,384,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,28,28,f32]>
tensor<[1,384,1,1,f32]>
tensor<[1,384,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,7,7,f32]>
tensor<[1,384,1,1,f32]>
tensor<[1,384,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,8,8,f32]>
tensor<[1,384,1,1,f32]>
tensor<[1,384,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3,f32]>
tensor<[1,3,f32]>
tensor<[1,3,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4096,f32]>
tensor<[1,4096,f32]>
tensor<[1,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1536,f32]>
tensor<[1,1,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,256,bf16]>
tensor<[1,1,256,bf16]>
tensor<[1,4096,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4096,320,bf16]>
tensor<[1,4096,320,bf16]>
tensor<[1,4096,320,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4096,320,f32]>
tensor<[1,1,320,f32]>
tensor<[1,4096,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,384,f32]>
tensor<[1,1,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,64,bf16]>
tensor<[1,4096,64,bf16]>
tensor<[1,4096,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4096,64,f32]>
tensor<[1,1,64,f32]>
tensor<[1,4096,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,14,14,f32]>
tensor<[1,40,1,1,f32]>
tensor<[1,40,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,28,28,bf16]>
tensor<[1,40,28,28,bf16]>
tensor<[1,40,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,40,28,28,f32]>
tensor<[1,40,1,1,f32]>
tensor<[1,40,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,30,30,bf16]>
tensor<[1,40,30,30,bf16]>
tensor<[1,40,30,30,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,40,30,30,f32]>
tensor<[1,40,1,1,f32]>
tensor<[1,40,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,40,40,f32]>
tensor<[1,40,40,40,f32]>
tensor<[1,40,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,40,40,f32]>
tensor<[1,40,1,1,f32]>
tensor<[1,40,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,56,56,f32]>
tensor<[1,40,1,1,f32]>
tensor<[1,40,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,416,14,14,f32]>
tensor<[1,416,1,1,f32]>
tensor<[1,416,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,416,28,28,f32]>
tensor<[1,416,1,1,f32]>
tensor<[1,416,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,12,12,f32]>
tensor<[1,448,1,1,f32]>
tensor<[1,448,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,14,14,f32]>
tensor<[1,448,1,1,f32]>
tensor<[1,448,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,28,28,f32]>
tensor<[1,448,1,1,f32]>
tensor<[1,448,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,8,8,f32]>
tensor<[1,448,1,1,f32]>
tensor<[1,448,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,45,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,45,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,45,3072,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,45,768,bf16]>
tensor<[1,45,768,bf16]>
tensor<[1,45,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,45,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,45,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,462,7,7,f32]>
tensor<[1,462,1,1,f32]>
tensor<[1,462,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 462 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,46,28,28,f32]>
tensor<[1,46,1,1,f32]>
tensor<[1,46,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4800,128,f32]>
tensor<[1,1,128,f32]>
tensor<[1,4800,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4800,128,bf16]>
tensor<[1,4800,128,bf16]>
tensor<[1,4800,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4800,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,4800,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,10,10,f32]>
tensor<[1,480,1,1,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.addtensor<[1,480,14,14,f32]>
tensor<[1,480,1,1,f32]>
tensor<[1,480,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,15,15,f32]>
tensor<[1,480,1,1,f32]>
tensor<[1,480,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,20,20,f32]>
tensor<[1,480,1,1,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,28,28,f32]>
tensor<[1,480,1,1,f32]>
tensor<[1,480,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,7,7,f32]>
tensor<[1,480,1,1,f32]>
tensor<[1,480,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,484,6,144,144,f32]>
tensor<[1,484,1,144,144,f32]>
tensor<[1,484,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 69696 + d1 * 144 + d2 * 144 + d3, d4), memory_config: (2178, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,14,14,f32]>
tensor<[1,48,1,1,f32]>
tensor<[1,48,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,33,33,bf16]>
tensor<[1,48,33,33,bf16]>
tensor<[1,48,33,33,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,48,33,33,f32]>
tensor<[1,48,1,1,f32]>
tensor<[1,48,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,38,38,bf16]>
tensor<[1,48,38,38,bf16]>
tensor<[1,48,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,48,38,38,f32]>
tensor<[1,48,1,1,f32]>
tensor<[1,48,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,56,56,f32]>
tensor<[1,48,1,1,f32]>
tensor<[1,48,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,7,7,f32]>
tensor<[1,48,1,1,f32]>
tensor<[1,48,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4,13,128,bf16]>
tensor<[1,4,13,128,bf16]>
tensor<[1,4,13,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4,16,49,49,bf16]>
tensor<[1,4,1,49,49,bf16]>
tensor<[1,4,16,49,49,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 196 + d1 * 49 + d2 * 49 + d3, d4), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4,48,144,144,f32]>
tensor<[1,4,1,144,144,f32]>
tensor<[1,4,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 576 + d1 * 144 + d2 * 144 + d3, d4), memory_config: (18, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,50,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,50,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,50,768,bf16]>
tensor<[1,50,768,bf16]>
tensor<[1,50,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,50,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,50,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,51200,f32]>
tensor<[1,51200,f32]>
tensor<[1,51200,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,14,14,f32]>
tensor<[1,512,1,1,f32]>
tensor<[1,512,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,16,16,f32]>
tensor<[1,512,1,1,f32]>
tensor<[1,512,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,23,40,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,23,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,28,28,bf16]>
tensor<[1,512,28,28,bf16]>
tensor<[1,512,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,28,28,f32]>
tensor<[1,512,1,1,f32]>
tensor<[1,512,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,32,32,f32]>
tensor<[1,512,1,1,f32]>
tensor<[1,512,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,45,80,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,56,56,f32]>
tensor<[1,512,1,1,f32]>
tensor<[1,512,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,5,5,f32]>
tensor<[1,512,1,1,f32]>
tensor<[1,512,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,7,7,bf16]>
tensor<[1,512,7,7,bf16]>
tensor<[1,512,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,7,7,f32]>
tensor<[1,512,1,1,f32]>
tensor<[1,512,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,8,8,f32]>
tensor<[1,512,1,1,f32]>
tensor<[1,512,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,90,160,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,90,160,bf16]>
tensor<[1,512,90,160,bf16]>
tensor<[1,512,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,528,17,17,f32]>
tensor<[1,528,1,1,f32]>
tensor<[1,528,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,544,14,14,f32]>
tensor<[1,544,1,1,f32]>
tensor<[1,544,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 544 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,14,14,f32]>
tensor<[1,56,1,1,f32]>
tensor<[1,56,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,48,48,bf16]>
tensor<[1,56,48,48,bf16]>
tensor<[1,56,48,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,56,48,48,f32]>
tensor<[1,56,1,1,f32]>
tensor<[1,56,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,56,128,f32]>
tensor<[1,1,1,128,f32]>
tensor<[1,56,56,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,56,128,bf16]>
tensor<[1,56,56,128,bf16]>
tensor<[1,56,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,56,56,1,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,56,56,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,56,512,bf16]>
tensor<[1,1,1,512,bf16]>
tensor<[1,56,56,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,576,14,14,f32]>
tensor<[1,576,1,1,f32]>
tensor<[1,576,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,576,19,19,f32]>
tensor<[1,576,1,1,f32]>
tensor<[1,576,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,576,7,7,f32]>
tensor<[1,576,1,1,f32]>
tensor<[1,576,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,58,28,28,f32]>
tensor<[1,58,1,1,f32]>
tensor<[1,58,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,5,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,5,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,5,1024,bf16]>
tensor<[1,5,1024,bf16]>
tensor<[1,5,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,5,16,32,f32]>
tensor<[1,5,16,32,f32]>
tensor<[1,5,16,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,5,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,5,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,5,4096,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,608,14,14,f32]>
tensor<[1,608,1,1,f32]>
tensor<[1,608,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 608 + d1 + d2, d3), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,60,28,28,f32]>
tensor<[1,60,1,1,f32]>
tensor<[1,60,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,640,14,14,f32]>
tensor<[1,640,1,1,f32]>
tensor<[1,640,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,640,16,16,f32]>
tensor<[1,640,1,1,f32]>
tensor<[1,640,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,32,32,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,64,64,f32]>
tensor<[1,640,1,1,f32]>
tensor<[1,640,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,f32]>
tensor<[1,64,f32]>
tensor<[1,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,112,112,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,120,160,bf16]>
tensor<[1,64,120,160,bf16]>
tensor<[1,64,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,120,160,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,120,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1280,f32]>
tensor<[1,1,1280,f32]>
tensor<[1,64,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1280,bf16]>
tensor<[1,64,1280,bf16]>
tensor<[1,64,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,128,128,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,147,147,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,147,147,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,14,14,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,150,150,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,160,160,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,180,320,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,64,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,224,224,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,224,224,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,256,256,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,28,28,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,2,2,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,30,40,bf16]>
tensor<[1,64,30,40,bf16]>
tensor<[1,64,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,30,40,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,30,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,35,35,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,360,640,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,360,640,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,4,49,49,bf16]>
tensor<[1,64,1,49,49,bf16]>
tensor<[1,64,4,49,49,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 49 + d2 * 49 + d3, d4), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,56,56,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,60,80,bf16]>
tensor<[1,64,60,80,bf16]>
tensor<[1,64,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,60,80,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,60,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,64,64,bf16]>
tensor<[1,64,64,64,bf16]>
tensor<[1,64,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,64,64,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,73,73,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,73,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,80,80,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,9,9,f32]>
tensor<[1,1,9,9,f32]>
tensor<[1,64,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,65536,192,f32]>
tensor<[1,1,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,65536,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,65536,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,10,10,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,14,14,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,15,15,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,20,20,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,24,24,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,28,28,bf16]>
tensor<[1,672,28,28,bf16]>
tensor<[1,672,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,672,28,28,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,56,56,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,7,7,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,8,8,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,68,14,14,f32]>
tensor<[1,68,1,1,f32]>
tensor<[1,68,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,68,56,56,f32]>
tensor<[1,68,1,1,f32]>
tensor<[1,68,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,696,28,28,bf16]>
tensor<[1,696,28,28,bf16]>
tensor<[1,696,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,696,28,28,f32]>
tensor<[1,696,1,1,f32]>
tensor<[1,696,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,696,56,56,f32]>
tensor<[1,696,1,1,f32]>
tensor<[1,696,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,ui32]>
tensor<[1,6,ui32]>
tensor<[1,6,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,6,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,6,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1024,bf16]>
tensor<[1,6,1024,bf16]>
tensor<[1,6,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1536,f32]>
tensor<[1,6,1536,f32]>
tensor<[1,6,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,15,15,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,6,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,15,15,bf16]>
tensor<[1,6,15,15,bf16]>
tensor<[1,6,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,6,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,10,bf16]>
tensor<[1,6,1,10,bf16]>
tensor<[1,6,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,11,bf16]>
tensor<[1,6,1,11,bf16]>
tensor<[1,6,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,12,bf16]>
tensor<[1,6,1,12,bf16]>
tensor<[1,6,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,13,bf16]>
tensor<[1,6,1,13,bf16]>
tensor<[1,6,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,14,bf16]>
tensor<[1,6,1,14,bf16]>
tensor<[1,6,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,6,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,15,bf16]>
tensor<[1,6,1,15,bf16]>
tensor<[1,6,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,16,bf16]>
tensor<[1,6,1,16,bf16]>
tensor<[1,6,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,17,bf16]>
tensor<[1,6,1,17,bf16]>
tensor<[1,6,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,18,bf16]>
tensor<[1,6,1,18,bf16]>
tensor<[1,6,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,19,bf16]>
tensor<[1,6,1,19,bf16]>
tensor<[1,6,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,1,bf16]>
tensor<[1,6,1,1,bf16]>
tensor<[1,6,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,20,bf16]>
tensor<[1,6,1,20,bf16]>
tensor<[1,6,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,2,bf16]>
tensor<[1,6,1,2,bf16]>
tensor<[1,6,1,2,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,3,bf16]>
tensor<[1,6,1,3,bf16]>
tensor<[1,6,1,3,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,4,bf16]>
tensor<[1,6,1,4,bf16]>
tensor<[1,6,1,4,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,5,bf16]>
tensor<[1,6,1,5,bf16]>
tensor<[1,6,1,5,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,6,bf16]>
tensor<[1,6,1,6,bf16]>
tensor<[1,6,1,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,7,bf16]>
tensor<[1,6,1,7,bf16]>
tensor<[1,6,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,8,bf16]>
tensor<[1,6,1,8,bf16]>
tensor<[1,6,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,1,9,bf16]>
tensor<[1,6,1,9,bf16]>
tensor<[1,6,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,6,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,704,14,14,f32]>
tensor<[1,704,1,1,f32]>
tensor<[1,704,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 704 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,71,7,64,bf16]>
tensor<[1,71,7,64,bf16]>
tensor<[1,71,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,71,7,7,f32]>
tensor<[1,1,7,7,f32]>
tensor<[1,71,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,720,17,17,f32]>
tensor<[1,720,1,1,f32]>
tensor<[1,720,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,720,9,9,f32]>
tensor<[1,720,1,1,f32]>
tensor<[1,720,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,728,19,19,bf16]>
tensor<[1,728,19,19,bf16]>
tensor<[1,728,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,728,19,19,f32]>
tensor<[1,728,1,1,f32]>
tensor<[1,728,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,728,38,38,bf16]>
tensor<[1,728,38,38,bf16]>
tensor<[1,728,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,728,38,38,f32]>
tensor<[1,728,1,1,f32]>
tensor<[1,728,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,14,14,bf16]>
tensor<[1,72,14,14,bf16]>
tensor<[1,72,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,72,14,14,f32]>
tensor<[1,72,1,1,f32]>
tensor<[1,72,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,28,28,f32]>
tensor<[1,72,1,1,f32]>
tensor<[1,72,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,40,40,f32]>
tensor<[1,72,1,1,f32]>
tensor<[1,72,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,56,56,f32]>
tensor<[1,72,1,1,f32]>
tensor<[1,72,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,7,7,f32]>
tensor<[1,72,1,1,f32]>
tensor<[1,72,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,80,80,f32]>
tensor<[1,72,1,1,f32]>
tensor<[1,72,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,736,14,14,f32]>
tensor<[1,736,1,1,f32]>
tensor<[1,736,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 736 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,768,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,768,14,14,f32]>
tensor<[1,768,1,1,f32]>
tensor<[1,768,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,768,384,bf16]>
tensor<[1,1,384,bf16]>
tensor<[1,768,384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,8,bf16]>
tensor<[1,768,8,bf16]>
tensor<[1,768,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,784,f32]>
tensor<[1,784,f32]>
tensor<[1,784,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,78,28,28,f32]>
tensor<[1,78,1,1,f32]>
tensor<[1,78,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,1536,f32]>
tensor<[1,7,1536,f32]>
tensor<[1,7,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,3072,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,7,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,7,4544,bf16]>
tensor<[1,7,4544,bf16]>
tensor<[1,7,4544,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,7,4544,f32]>
tensor<[1,1,4544,f32]>
tensor<[1,7,4544,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,768,bf16]>
tensor<[1,7,768,bf16]>
tensor<[1,7,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,7,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,7,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,1024,f32]>
tensor<[1,1,1,1024,f32]>
tensor<[1,7,7,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,1024,bf16]>
tensor<[1,7,7,1024,bf16]>
tensor<[1,7,7,1024,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,7,7,1,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,7,7,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,2048,f32]>
tensor<[1,1,1,2048,f32]>
tensor<[1,7,7,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,4096,bf16]>
tensor<[1,1,1,4096,bf16]>
tensor<[1,7,7,4096,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,800,14,14,f32]>
tensor<[1,800,1,1,f32]>
tensor<[1,800,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,10,10,f32]>
tensor<[1,80,10,10,f32]>
tensor<[1,80,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,10,10,f32]>
tensor<[1,80,1,1,f32]>
tensor<[1,80,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,14,14,bf16]>
tensor<[1,80,14,14,bf16]>
tensor<[1,80,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,80,14,14,f32]>
tensor<[1,80,1,1,f32]>
tensor<[1,80,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,15,15,bf16]>
tensor<[1,80,15,15,bf16]>
tensor<[1,80,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,80,15,15,f32]>
tensor<[1,80,1,1,f32]>
tensor<[1,80,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,20,20,f32]>
tensor<[1,80,20,20,f32]>
tensor<[1,80,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,20,20,f32]>
tensor<[1,80,1,1,f32]>
tensor<[1,80,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,7,7,f32]>
tensor<[1,80,1,1,f32]>
tensor<[1,80,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,816,10,10,f32]>
tensor<[1,816,1,1,f32]>
tensor<[1,816,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,816,19,19,f32]>
tensor<[1,816,1,1,f32]>
tensor<[1,816,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,832,14,14,f32]>
tensor<[1,832,1,1,f32]>
tensor<[1,832,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,864,14,14,f32]>
tensor<[1,864,1,1,f32]>
tensor<[1,864,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 + d2, d3), memory_config: (27, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,88,17,17,bf16]>
tensor<[1,88,17,17,bf16]>
tensor<[1,88,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,88,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,88,17,17,f32]>
tensor<[1,88,1,1,f32]>
tensor<[1,88,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,896,14,14,f32]>
tensor<[1,896,1,1,f32]>
tensor<[1,896,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,896,7,7,f32]>
tensor<[1,896,1,1,f32]>
tensor<[1,896,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,10,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,8,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,10,10,bf16]>
tensor<[1,8,10,10,bf16]>
tensor<[1,8,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,112,112,f32]>
tensor<[1,8,1,1,f32]>
tensor<[1,8,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1536,f32]>
tensor<[1,8,1536,f32]>
tensor<[1,8,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,8,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,8,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,8,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,10,bf16]>
tensor<[1,8,1,10,bf16]>
tensor<[1,8,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,11,bf16]>
tensor<[1,8,1,11,bf16]>
tensor<[1,8,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,12,bf16]>
tensor<[1,8,1,12,bf16]>
tensor<[1,8,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,13,bf16]>
tensor<[1,8,1,13,bf16]>
tensor<[1,8,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,14,bf16]>
tensor<[1,8,1,14,bf16]>
tensor<[1,8,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,15,bf16]>
tensor<[1,8,1,15,bf16]>
tensor<[1,8,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,16,bf16]>
tensor<[1,8,1,16,bf16]>
tensor<[1,8,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,17,bf16]>
tensor<[1,8,1,17,bf16]>
tensor<[1,8,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,18,bf16]>
tensor<[1,8,1,18,bf16]>
tensor<[1,8,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,19,bf16]>
tensor<[1,8,1,19,bf16]>
tensor<[1,8,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,bf16]>
tensor<[1,8,1,1,bf16]>
tensor<[1,8,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,20,bf16]>
tensor<[1,8,1,20,bf16]>
tensor<[1,8,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,2,bf16]>
tensor<[1,8,1,2,bf16]>
tensor<[1,8,1,2,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,3,bf16]>
tensor<[1,8,1,3,bf16]>
tensor<[1,8,1,3,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,4,bf16]>
tensor<[1,8,1,4,bf16]>
tensor<[1,8,1,4,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,5,bf16]>
tensor<[1,8,1,5,bf16]>
tensor<[1,8,1,5,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,6,bf16]>
tensor<[1,8,1,6,bf16]>
tensor<[1,8,1,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,7,bf16]>
tensor<[1,8,1,7,bf16]>
tensor<[1,8,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,8,bf16]>
tensor<[1,8,1,8,bf16]>
tensor<[1,8,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,9,bf16]>
tensor<[1,8,1,9,bf16]>
tensor<[1,8,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,256,2048,bf16]>
tensor<[1,1,1,2048,bf16]>
tensor<[1,8,256,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,8,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,32,128,bf16]>
tensor<[1,8,32,128,bf16]>
tensor<[1,8,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,768,bf16]>
tensor<[1,8,768,bf16]>
tensor<[1,8,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,8,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,928,14,14,f32]>
tensor<[1,928,1,1,f32]>
tensor<[1,928,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,928,7,7,f32]>
tensor<[1,928,1,1,f32]>
tensor<[1,928,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,92,14,14,f32]>
tensor<[1,92,1,1,f32]>
tensor<[1,92,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 92 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,12,12,f32]>
tensor<[1,960,1,1,f32]>
tensor<[1,960,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,14,14,f32]>
tensor<[1,960,1,1,f32]>
tensor<[1,960,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,24,24,f32]>
tensor<[1,960,1,1,f32]>
tensor<[1,960,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,32,32,f32]>
tensor<[1,960,1,1,f32]>
tensor<[1,960,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,3,3,f32]>
tensor<[1,960,1,1,f32]>
tensor<[1,960,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,64,64,f32]>
tensor<[1,960,1,1,f32]>
tensor<[1,960,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,7,7,f32]>
tensor<[1,960,1,1,f32]>
tensor<[1,960,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,112,112,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,120,120,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,130,130,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,14,14,bf16]>
tensor<[1,96,14,14,bf16]>
tensor<[1,96,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,96,14,14,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,19,19,bf16]>
tensor<[1,96,19,19,bf16]>
tensor<[1,96,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,96,19,19,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,28,28,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,35,35,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,56,56,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,60,60,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,65,65,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,71,71,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,71,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,73,73,f32]>
tensor<[1,96,1,1,f32]>
tensor<[1,96,73,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,98,28,28,f32]>
tensor<[1,98,1,1,f32]>
tensor<[1,98,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,992,14,14,f32]>
tensor<[1,992,1,1,f32]>
tensor<[1,992,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,992,7,7,f32]>
tensor<[1,992,1,1,f32]>
tensor<[1,992,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,9,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1024,bf16]>
tensor<[1,9,1024,bf16]>
tensor<[1,9,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,128,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,128,f32]>
tensor<[1,1,128,f32]>
tensor<[1,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,1536,f32]>
tensor<[1,9,1536,f32]>
tensor<[1,9,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,16384,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,2048,bf16]>
tensor<[1,9,2048,bf16]>
tensor<[1,9,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,2048,f32]>
tensor<[1,1,2048,f32]>
tensor<[1,9,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,24,144,144,f32]>
tensor<[1,9,1,144,144,f32]>
tensor<[1,9,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1296 + d1 * 144 + d2 * 144 + d3, d4), memory_config: (41, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,3072,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,4096,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,4096,f32]>
tensor<[1,1,4096,f32]>
tensor<[1,9,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,48,144,144,f32]>
tensor<[1,9,1,144,144,f32]>
tensor<[1,9,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1296 + d1 * 144 + d2 * 144 + d3, d4), memory_config: (41, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,768,bf16]>
tensor<[1,9,768,bf16]>
tensor<[1,9,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,9,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,8192,bf16]>
tensor<[1,1,1,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[201,3072,f32]>
tensor<[1,3072,f32]>
tensor<[201,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[201,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[201,768,f32]>
tensor<[1,768,f32]>
tensor<[201,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2048,1280,f32]>
tensor<[1,1280,f32]>
tensor<[2048,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2048,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2048,256,f32]>
tensor<[1,256,f32]>
tensor<[2048,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2048,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2048,262,bf16]>
tensor<[1,262,bf16]>
tensor<[2048,262,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 9, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2048,262,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[2048,768,f32]>
tensor<[1,768,f32]>
tensor<[2048,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2048,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,10240,f32]>
tensor<[1,10240,f32]>
tensor<[256,10240,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,1024,f32]>
tensor<[1,1024,f32]>
tensor<[256,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,1280,f32]>
tensor<[1,1280,f32]>
tensor<[256,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,1536,f32]>
tensor<[1,1536,f32]>
tensor<[256,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,160,f32]>
tensor<[1,160,f32]>
tensor<[256,160,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,256,f32]>
tensor<[1,256,f32]>
tensor<[256,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,2,f32]>
tensor<[1,2,f32]>
tensor<[256,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,32,f32]>
tensor<[1,32,f32]>
tensor<[256,32,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,4096,f32]>
tensor<[1,4096,f32]>
tensor<[256,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,512,f32]>
tensor<[1,512,f32]>
tensor<[256,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,6144,f32]>
tensor<[1,6144,f32]>
tensor<[256,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,64,f32]>
tensor<[1,64,f32]>
tensor<[256,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[256,768,f32]>
tensor<[1,768,f32]>
tensor<[256,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[257,2304,f32]>
tensor<[1,2304,f32]>
tensor<[257,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[257,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[257,3072,f32]>
tensor<[1,3072,f32]>
tensor<[257,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[257,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[257,768,f32]>
tensor<[1,768,f32]>
tensor<[257,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[25,2,f32]>
tensor<[1,2,f32]>
tensor<[25,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[25,3072,f32]>
tensor<[1,3072,f32]>
tensor<[25,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[25,768,f32]>
tensor<[1,768,f32]>
tensor<[25,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[27,30522,f32]>
tensor<[1,30522,f32]>
tensor<[27,30522,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,30522,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[27,38,f32]>
tensor<[1,38,f32]>
tensor<[27,38,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,38,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[27,50257,f32]>
tensor<[1,50257,f32]>
tensor<[27,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,128,1,f32]>
tensor<[2,128,1,f32]>
tensor<[2,128,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,128,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,13,1,f32]>
tensor<[1,1,1,f32]>
tensor<[2,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,1,7,7,bf16]>
tensor<[2,1,7,7,bf16]>
tensor<[2,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[2,7,1,f32]>
tensor<[1,1,1,f32]>
tensor<[2,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,7,512,bf16]>
tensor<[1,7,512,bf16]>
tensor<[2,7,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[2,7,512,bf16]>
tensor<[2,7,512,bf16]>
tensor<[2,7,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[2,7,512,f32]>
tensor<[1,1,512,f32]>
tensor<[2,7,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,8,7,7,f32]>
tensor<[2,1,7,7,f32]>
tensor<[2,8,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[300,128,f32]>
tensor<[1,128,f32]>
tensor<[300,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[300,2048,f32]>
tensor<[1,2048,f32]>
tensor<[300,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[300,320,f32]>
tensor<[1,320,f32]>
tensor<[300,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[300,512,f32]>
tensor<[1,512,f32]>
tensor<[300,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[300,64,f32]>
tensor<[1,64,f32]>
tensor<[300,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[3136,128,f32]>
tensor<[1,128,f32]>
tensor<[3136,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3136,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[3136,384,f32]>
tensor<[1,384,f32]>
tensor<[3136,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3136,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[3234,f32]>
tensor<[3234,f32]>
tensor<[3234,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[3234,1,f32]>
tensor<[3234,1,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[32,1536,f32]>
tensor<[1,1536,f32]>
tensor<[32,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[32,4608,f32]>
tensor<[1,4608,f32]>
tensor<[32,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[32,6144,f32]>
tensor<[1,6144,f32]>
tensor<[32,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[36,12,144,144,f32]>
tensor<[1,12,144,144,f32]>
tensor<[36,12,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (54, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[36,24,144,144,f32]>
tensor<[1,24,144,144,f32]>
tensor<[36,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (108, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4096,1536,f32]>
tensor<[1,1536,f32]>
tensor<[4096,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4096,2560,f32]>
tensor<[1,2560,f32]>
tensor<[4096,2560,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 80, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4096,256,f32]>
tensor<[1,256,f32]>
tensor<[4096,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4096,3072,f32]>
tensor<[1,3072,f32]>
tensor<[4096,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4096,320,f32]>
tensor<[1,320,f32]>
tensor<[4096,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4096,384,f32]>
tensor<[1,384,f32]>
tensor<[4096,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4096,64,f32]>
tensor<[1,64,f32]>
tensor<[4096,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4096,768,f32]>
tensor<[1,768,f32]>
tensor<[4096,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[45,3072,f32]>
tensor<[1,3072,f32]>
tensor<[45,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[45,768,f32]>
tensor<[1,768,f32]>
tensor<[45,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4800,128,f32]>
tensor<[1,128,f32]>
tensor<[4800,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4800,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4800,512,f32]>
tensor<[1,512,f32]>
tensor<[4800,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4800,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[484,6,144,144,f32]>
tensor<[1,6,144,144,f32]>
tensor<[484,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (27, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[49,1024,f32]>
tensor<[1,1024,f32]>
tensor<[49,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[49,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[49,3072,f32]>
tensor<[1,3072,f32]>
tensor<[49,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[49,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,16,1,13,f32]>
tensor<[4,1,1,13,f32]>
tensor<[4,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,16,49,49,bf16]>
tensor<[1,16,49,49,bf16]>
tensor<[4,16,49,49,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[4,1,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[4,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,48,144,144,f32]>
tensor<[1,48,144,144,f32]>
tensor<[4,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (216, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[50,3072,f32]>
tensor<[1,3072,f32]>
tensor<[50,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[50,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[50,768,f32]>
tensor<[1,768,f32]>
tensor<[50,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[5184,1152,f32]>
tensor<[1,1152,f32]>
tensor<[5184,1152,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[5184,2304,f32]>
tensor<[1,2304,f32]>
tensor<[5184,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[5184,384,f32]>
tensor<[1,384,f32]>
tensor<[5184,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[5184,768,f32]>
tensor<[1,768,f32]>
tensor<[5184,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[52,1024,f32]>
tensor<[1,1024,f32]>
tensor<[52,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[576,1536,f32]>
tensor<[1,1536,f32]>
tensor<[576,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[576,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[576,4608,f32]>
tensor<[1,4608,f32]>
tensor<[576,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[576,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[5,1024,f32]>
tensor<[1,1024,f32]>
tensor<[5,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[5,4096,f32]>
tensor<[1,4096,f32]>
tensor<[5,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[5,51200,f32]>
tensor<[1,51200,f32]>
tensor<[5,51200,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[64,10240,f32]>
tensor<[1,10240,f32]>
tensor<[64,10240,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[64,1280,f32]>
tensor<[1,1280,f32]>
tensor<[64,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[64,4,49,49,bf16]>
tensor<[1,4,49,49,bf16]>
tensor<[64,4,49,49,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[65536,192,f32]>
tensor<[1,192,f32]>
tensor<[65536,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[65536,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[65536,768,f32]>
tensor<[1,768,f32]>
tensor<[65536,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[65536,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[69696,192,f32]>
tensor<[1,192,f32]>
tensor<[69696,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[69696,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[69696,576,f32]>
tensor<[1,576,f32]>
tensor<[69696,576,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[69696,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[6,ui32]>
tensor<[6,ui32]>
tensor<[6,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[6,1024,f32]>
tensor<[1,1024,f32]>
tensor<[6,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[6,1024,bf16]>
tensor<[6,1024,bf16]>
tensor<[6,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[6,1,100,256,bf16]>
tensor<[1,1,1,256,bf16]>
tensor<[6,1,100,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,1,100,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[6,1,100,4,bf16]>
tensor<[1,1,1,4,bf16]>
tensor<[6,1,100,4,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[6,1,100,92,bf16]>
tensor<[1,1,1,92,bf16]>
tensor<[6,1,100,92,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[6,4096,f32]>
tensor<[1,4096,f32]>
tensor<[6,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[768,196,f32]>
tensor<[1,196,f32]>
tensor<[768,196,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[768,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[784,256,f32]>
tensor<[1,256,f32]>
tensor<[784,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[784,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[784,768,f32]>
tensor<[1,768,f32]>
tensor<[784,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[784,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[7,2304,f32]>
tensor<[1,2304,f32]>
tensor<[7,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[7,3072,f32]>
tensor<[1,3072,f32]>
tensor<[7,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[7,768,f32]>
tensor<[1,768,f32]>
tensor<[7,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[8,2048,f32]>
tensor<[8,2048,f32]>
tensor<[8,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[920,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[920,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[920,1,256,bf16]>
tensor<[1,1,256,bf16]>
tensor<[920,1,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[920,1,256,bf16]>
tensor<[920,1,256,bf16]>
tensor<[920,1,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[920,2048,f32]>
tensor<[1,2048,f32]>
tensor<[920,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[920,256,f32]>
tensor<[1,256,f32]>
tensor<[920,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,1024,f32]>
tensor<[1,1024,f32]>
tensor<[9,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,128,f32]>
tensor<[1,128,f32]>
tensor<[9,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,16384,f32]>
tensor<[1,16384,f32]>
tensor<[9,16384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,2048,f32]>
tensor<[1,2048,f32]>
tensor<[9,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,24,144,144,f32]>
tensor<[1,24,144,144,f32]>
tensor<[9,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (108, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,30000,f32]>
tensor<[1,30000,f32]>
tensor<[9,30000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,30000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,3072,f32]>
tensor<[1,3072,f32]>
tensor<[9,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,4096,f32]>
tensor<[1,4096,f32]>
tensor<[9,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,48,144,144,f32]>
tensor<[1,48,144,144,f32]>
tensor<[9,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (216, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,768,f32]>
tensor<[1,768,f32]>
tensor<[9,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[9,8192,f32]>
tensor<[1,8192,f32]>
tensor<[9,8192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,ui32]>
tensor<[1,ui32]>
tensor<[1,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[2,128,1,f32]>
tensor<[2,128,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,128,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[11,ui32]>
tensor<[11,ui32]>
tensor<[11,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[12,ui32]>
tensor<[12,ui32]>
tensor<[12,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[13,ui32]>
tensor<[13,ui32]>
tensor<[13,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[14,ui32]>
tensor<[14,ui32]>
tensor<[14,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[15,ui32]>
tensor<[15,ui32]>
tensor<[15,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[16,ui32]>
tensor<[16,ui32]>
tensor<[16,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[17,ui32]>
tensor<[17,ui32]>
tensor<[17,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[18,ui32]>
tensor<[18,ui32]>
tensor<[18,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[19,ui32]>
tensor<[19,ui32]>
tensor<[19,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[20,ui32]>
tensor<[20,ui32]>
tensor<[20,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[21,ui32]>
tensor<[21,ui32]>
tensor<[21,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[22,ui32]>
tensor<[22,ui32]>
tensor<[22,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[23,ui32]>
tensor<[23,ui32]>
tensor<[23,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[24,ui32]>
tensor<[24,ui32]>
tensor<[24,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[25,ui32]>
tensor<[25,ui32]>
tensor<[25,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[26,ui32]>
tensor<[26,ui32]>
tensor<[26,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[27,ui32]>
tensor<[27,ui32]>
tensor<[27,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[28,ui32]>
tensor<[28,ui32]>
tensor<[28,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[29,ui32]>
tensor<[29,ui32]>
tensor<[29,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[32,ui32]>
tensor<[32,ui32]>
tensor<[32,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[5,ui32]>
tensor<[5,ui32]>
tensor<[5,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[6,ui32]>
tensor<[6,ui32]>
tensor<[6,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[7,ui32]>
tensor<[7,ui32]>
tensor<[7,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[8,ui32]>
tensor<[8,ui32]>
tensor<[8,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[9,ui32]>
tensor<[9,ui32]>
tensor<[9,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[32,ui32]>
tensor<[32,ui32]>
tensor<[32,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,512,7,7,f32]>
tensor<[1,512,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[8,100,920,bf16]>
tensor<[8,100,920,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[8,100,920,bf16]>
tensor<[8,1,920,bf16]>
tensor<[8,100,920,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[8,920,920,bf16]>
tensor<[8,920,920,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,920,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[8,920,920,bf16]>
tensor<[8,1,920,bf16]>
tensor<[8,920,920,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,920,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,16,16,bf16]>
tensor<[1,1024,1,1,bf16]>
tensor<[1,1024,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,255,16,16,bf16]>
tensor<[1,255,1,1,bf16]>
tensor<[1,255,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,255,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,bf16]>
tensor<[1,1024,1,1,bf16]>
tensor<[1,1024,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,512,bf16]>
tensor<[1,256,1,bf16]>
tensor<[1,256,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2048,7,7,bf16]>
tensor<[1,2048,1,1,bf16]>
tensor<[1,2048,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,bf16]>
tensor<[1,32,1,1,bf16]>
tensor<[1,32,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,8,8,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,30,40,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38400 + d1 * 30 + d2, d3), memory_config: (1200, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38400 + d1 * 30 + d2, d3), memory_config: (1200, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38400 + d1 * 30 + d2, d3), memory_config: (1200, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,32,32,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,8,8,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,8,8,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,112,112,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,120,160,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,128,128,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,546,1,1,f32]>
tensor<[1,546,1,1,f32]>
tensor<[1,546,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,546,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,28,28,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,28,28,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,28,28,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,19,28,28,bf16]>
tensor<[1,19,1,1,bf16]>
tensor<[1,19,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,38,28,28,bf16]>
tensor<[1,38,1,1,bf16]>
tensor<[1,38,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,38,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,28,28,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,30,40,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,56,56,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,28,28,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,15,20,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,15,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 15 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 15 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 15 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,30,40,bf16]>
tensor<[1,320,1,1,bf16]>
tensor<[1,320,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,60,80,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,60,80,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,255,64,64,bf16]>
tensor<[1,255,1,1,bf16]>
tensor<[1,255,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,255,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,174,1,1,bf16]>
tensor<[1,174,1,1,bf16]>
tensor<[1,174,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,348,1,1,bf16]>
tensor<[1,348,1,1,bf16]>
tensor<[1,348,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,160,16,16,bf16]>
tensor<[1,160,1,1,bf16]>
tensor<[1,160,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 16 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 16 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 16 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,16,16,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4,14,14,bf16]>
tensor<[1,4,1,1,bf16]>
tensor<[1,4,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1392,1,1,bf16]>
tensor<[1,1392,1,1,bf16]>
tensor<[1,1392,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,696,1,1,bf16]>
tensor<[1,696,1,1,bf16]>
tensor<[1,696,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,28,28,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,28,28,bf16]>
tensor<[1,16,1,1,bf16]>
tensor<[1,16,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,26,26,bf16]>
tensor<[1,32,1,1,bf16]>
tensor<[1,32,26,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,26,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2048,15,20,bf16]>
tensor<[1,2048,1,1,bf16]>
tensor<[1,2048,15,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 15 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 15 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 15 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,23,40,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,23,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5888 + d1 * 23 + d2, d3), memory_config: (184, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5888 + d1 * 23 + d2, d3), memory_config: (184, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5888 + d1 * 23 + d2, d3), memory_config: (184, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,58,1,1,bf16]>
tensor<[1,58,1,1,bf16]>
tensor<[1,58,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,bf16]>
tensor<[1,8,1,1,bf16]>
tensor<[1,8,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,8,8,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,8,8,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,120,160,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 120 + d2, d3), memory_config: (960, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 120 + d2, d3), memory_config: (960, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 120 + d2, d3), memory_config: (960, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,150,128,128,bf16]>
tensor<[1,150,1,1,bf16]>
tensor<[1,150,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 128 + d2, d3), memory_config: (600, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 150 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 128 + d2, d3), memory_config: (600, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,150,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 128 + d2, d3), memory_config: (600, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,28,28,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,14,14,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,2,2,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 2 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 2 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 2 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,546,2,2,f32]>
tensor<[1,546,1,1,f32]>
tensor<[1,546,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 2 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 2 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,546,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 2 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,255,32,32,bf16]>
tensor<[1,255,1,1,bf16]>
tensor<[1,255,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,255,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,3,3,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 3 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 3 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 3 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,546,3,3,f32]>
tensor<[1,546,1,1,f32]>
tensor<[1,546,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1638 + d1 * 3 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1638 + d1 * 3 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,546,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1638 + d1 * 3 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,512,bf16]>
tensor<[1,1024,1,bf16]>
tensor<[1,1024,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,56,56,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,255,64,64,bf16]>
tensor<[1,255,1,1,bf16]>
tensor<[1,255,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,255,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,64,64,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,13,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,14,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,15,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,16,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,17,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,17,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,18,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,18,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,9,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,10,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,11,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,8,bf16]>
tensor<[1,768,1,bf16]>
tensor<[1,768,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,12,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,15,20,bf16]>
tensor<[1,320,1,1,bf16]>
tensor<[1,320,15,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 15 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 15 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 15 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,15,20,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,15,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 15 + d2, d3), memory_config: (240, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 15 + d2, d3), memory_config: (240, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 15 + d2, d3), memory_config: (240, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,30,40,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,64,64,bf16]>
tensor<[1,320,1,1,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,64,64,bf16]>
tensor<[1,320,1,1,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,32,32,bf16]>
tensor<[1,320,1,1,bf16]>
tensor<[1,320,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4,64,64,bf16]>
tensor<[1,4,1,1,bf16]>
tensor<[1,4,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 64 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 64 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 64 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,120,160,bf16]>
tensor<[1,2,1,1,bf16]>
tensor<[1,2,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,16,16,bf16]>
tensor<[1,32,1,1,bf16]>
tensor<[1,32,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,64,64,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,256,256,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,1,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,24,24,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,30,40,bf16]>
tensor<[1,2,1,1,bf16]>
tensor<[1,2,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,60,80,bf16]>
tensor<[1,2,1,1,bf16]>
tensor<[1,2,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1392,1,1,bf16]>
tensor<[1,1392,1,1,bf16]>
tensor<[1,1392,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3712,1,1,bf16]>
tensor<[1,3712,1,1,bf16]>
tensor<[1,3712,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,348,1,1,bf16]>
tensor<[1,348,1,1,bf16]>
tensor<[1,348,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,192,256,256,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,14,14,bf16]>
tensor<[1,1024,1,1,bf16]>
tensor<[1,1024,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,56,56,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,224,224,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,14,14,bf16]>
tensor<[1,768,1,1,bf16]>
tensor<[1,768,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,8,32,bf16]>
tensor<[1,768,1,1,bf16]>
tensor<[1,768,8,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,12,16,bf16]>
tensor<[1,768,1,1,bf16]>
tensor<[1,768,12,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 12 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 12 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,12,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 12 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,120,160,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,192,128,128,f32]>
tensor<[1,192,1,1,f32]>
tensor<[1,192,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,128,128,bf16]>
tensor<[1,32,1,1,bf16]>
tensor<[1,32,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,192,32,42,bf16]>
tensor<[1,192,1,1,bf16]>
tensor<[1,192,32,42,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 32 + d2, d3), memory_config: (192, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 32 + d2, d3), memory_config: (192, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,32,42,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 32 + d2, d3), memory_config: (192, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,37,37,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,37,37,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47360 + d1 * 37 + d2, d3), memory_config: (1480, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47360 + d1 * 37 + d2, d3), memory_config: (1480, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,37,37,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47360 + d1 * 37 + d2, d3), memory_config: (1480, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,10,10,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 10 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 10 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 10 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,546,10,10,f32]>
tensor<[1,546,1,1,f32]>
tensor<[1,546,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5460 + d1 * 10 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5460 + d1 * 10 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,546,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5460 + d1 * 10 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,64,64,bf16]>
tensor<[1,320,1,1,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,7,7,bf16]>
tensor<[1,1024,1,1,bf16]>
tensor<[1,1024,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,14,14,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,15,20,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,15,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,255,16,16,bf16]>
tensor<[1,255,1,1,bf16]>
tensor<[1,255,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,255,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1000,1,1,bf16]>
tensor<[1,1000,1,1,bf16]>
tensor<[1,1000,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1000 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1000 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1000 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1000,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1000 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,28,28,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,19,28,28,bf16]>
tensor<[1,19,1,1,bf16]>
tensor<[1,19,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,38,28,28,bf16]>
tensor<[1,38,1,1,bf16]>
tensor<[1,38,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,38,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,28,28,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,255,32,32,bf16]>
tensor<[1,255,1,1,bf16]>
tensor<[1,255,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,255,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,5,5,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 5 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 5 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 5 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,546,5,5,f32]>
tensor<[1,546,1,1,f32]>
tensor<[1,546,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2730 + d1 * 5 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2730 + d1 * 5 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,546,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2730 + d1 * 5 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,60,80,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 60 + d2, d3), memory_config: (960, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 60 + d2, d3), memory_config: (960, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 60 + d2, d3), memory_config: (960, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,232,1,1,bf16]>
tensor<[1,232,1,1,bf16]>
tensor<[1,232,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,696,1,1,bf16]>
tensor<[1,696,1,1,bf16]>
tensor<[1,696,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,16,16,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,64,64,bf16]>
tensor<[1,320,1,1,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,64,64,bf16]>
tensor<[1,320,1,1,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,64,64,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,112,112,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,60,80,bf16]>
tensor<[1,128,1,1,bf16]>
tensor<[1,128,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,120,160,bf16]>
tensor<[1,32,1,1,bf16]>
tensor<[1,32,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,15,20,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,15,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,224,224,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,224,224,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,30,40,bf16]>
tensor<[1,32,1,1,bf16]>
tensor<[1,32,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,480,640,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,1,480,640,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,480,640,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,480,640,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,60,80,bf16]>
tensor<[1,32,1,1,bf16]>
tensor<[1,32,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,160,32,32,bf16]>
tensor<[1,160,1,1,bf16]>
tensor<[1,160,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 32 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 32 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 32 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,16,16,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,64,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 16 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 16 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 16 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,168,1,1,bf16]>
tensor<[1,168,1,1,bf16]>
tensor<[1,168,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,168,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,20,20,f32]>
tensor<[1,24,1,1,f32]>
tensor<[1,24,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 20 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 20 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 20 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,546,20,20,f32]>
tensor<[1,546,1,1,f32]>
tensor<[1,546,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10920 + d1 * 20 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10920 + d1 * 20 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,546,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10920 + d1 * 20 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,174,1,1,bf16]>
tensor<[1,174,1,1,bf16]>
tensor<[1,174,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,58,1,1,bf16]>
tensor<[1,58,1,1,bf16]>
tensor<[1,58,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.addtensor<[1,20,1,1,bf16]>
tensor<[1,20,1,1,bf16]>
tensor<[1,20,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,bf16]>
tensor<[1,24,1,1,bf16]>
tensor<[1,24,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,1500,bf16]>
tensor<[1,768,1,bf16]>
tensor<[1,768,1500,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,8,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,8,bf16]>
tensor<[1,768,1,bf16]>
tensor<[1,768,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,8,bf16]>
tensor<[1,768,1,bf16]>
tensor<[1,768,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,3000,bf16]>
tensor<[1,768,1,bf16]>
tensor<[1,768,3000,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,232,1,1,bf16]>
tensor<[1,232,1,1,bf16]>
tensor<[1,232,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,bf16]>
tensor<[1,240,1,1,bf16]>
tensor<[1,240,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,640,32,32,bf16]>
tensor<[1,640,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,64,64,bf16]>
tensor<[1,320,1,1,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,320,64,64,bf16]>
tensor<[1,320,1,1,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,16,16,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,12,197,197,bf16]>
tensor<[1,12,197,197,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,12,201,201,bf16]>
tensor<[1,12,201,201,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,201,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,12,8,8,bf16]>
tensor<[1,12,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,16,197,197,bf16]>
tensor<[1,16,197,197,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,6,f32]>
tensor<[1,16,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,5,5,f32]>
tensor<[1,16,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,16384,256,bf16]>
tensor<[1,1,16384,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,19200,300,bf16]>
tensor<[1,1,19200,300,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,19200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,256,1280,bf16]>
tensor<[1,256,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,2,4096,256,bf16]>
tensor<[1,2,4096,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,2,4800,300,bf16]>
tensor<[1,2,4800,300,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,4800,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,320,64,64,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,4096,320,bf16]>
tensor<[1,4096,320,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,50257,f32]>
tensor<[1,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,5,1024,256,bf16]>
tensor<[1,5,1024,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,5,1200,300,bf16]>
tensor<[1,5,1200,300,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,640,32,32,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,64,1280,bf16]>
tensor<[1,64,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,8,2048,256,bf16]>
tensor<[1,8,2048,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,2048,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,8,256,2048,bf16]>
tensor<[1,8,256,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,8,256,256,bf16]>
tensor<[1,8,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,8,300,300,bf16]>
tensor<[1,8,300,300,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,300,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[2,1,bf16]>
tensor<[2,512,bf16]>
tensor<[2,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[3234,1,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[3234,1,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[3,1,1,f32]>
tensor<[3,320,320,f32]>
tensor<[3,320,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,12,12,bf16]>
tensor<[1,1,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,13,13,bf16]>
tensor<[1,1,13,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,46,bf16]>
tensor<[1,1,1,46,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,47,bf16]>
tensor<[1,1,1,47,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,48,bf16]>
tensor<[1,1,1,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,49,bf16]>
tensor<[1,1,1,49,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,50,bf16]>
tensor<[1,1,1,50,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,51,bf16]>
tensor<[1,1,1,51,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,52,bf16]>
tensor<[1,1,1,52,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,53,bf16]>
tensor<[1,1,1,53,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,54,bf16]>
tensor<[1,1,1,54,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,55,bf16]>
tensor<[1,1,1,55,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,56,bf16]>
tensor<[1,1,1,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,57,bf16]>
tensor<[1,1,1,57,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,58,bf16]>
tensor<[1,1,1,58,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,59,bf16]>
tensor<[1,1,1,59,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,60,bf16]>
tensor<[1,1,1,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,61,bf16]>
tensor<[1,1,1,61,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,62,bf16]>
tensor<[1,1,1,62,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,63,bf16]>
tensor<[1,1,1,63,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,64,bf16]>
tensor<[1,1,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,65,bf16]>
tensor<[1,1,1,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,66,bf16]>
tensor<[1,1,1,66,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,67,bf16]>
tensor<[1,1,1,67,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,68,bf16]>
tensor<[1,1,1,68,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,69,bf16]>
tensor<[1,1,1,69,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,6,bf16]>
tensor<[1,1,1,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,70,bf16]>
tensor<[1,1,1,70,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,71,bf16]>
tensor<[1,1,1,71,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,72,bf16]>
tensor<[1,1,1,72,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,73,bf16]>
tensor<[1,1,1,73,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,74,bf16]>
tensor<[1,1,1,74,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,75,bf16]>
tensor<[1,1,1,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,76,bf16]>
tensor<[1,1,1,76,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,77,bf16]>
tensor<[1,1,1,77,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,78,bf16]>
tensor<[1,1,1,78,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,79,bf16]>
tensor<[1,1,1,79,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,80,bf16]>
tensor<[1,1,1,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,81,bf16]>
tensor<[1,1,1,81,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,82,bf16]>
tensor<[1,1,1,82,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,83,bf16]>
tensor<[1,1,1,83,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,84,bf16]>
tensor<[1,1,1,84,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,85,bf16]>
tensor<[1,1,1,85,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,86,bf16]>
tensor<[1,1,1,86,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,87,bf16]>
tensor<[1,1,1,87,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,88,bf16]>
tensor<[1,1,1,88,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,89,bf16]>
tensor<[1,1,1,89,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,90,bf16]>
tensor<[1,1,1,90,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,91,bf16]>
tensor<[1,1,1,91,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,92,bf16]>
tensor<[1,1,1,92,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,93,bf16]>
tensor<[1,1,1,93,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,94,bf16]>
tensor<[1,1,1,94,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,95,bf16]>
tensor<[1,1,1,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,96,bf16]>
tensor<[1,1,1,96,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,97,bf16]>
tensor<[1,1,1,97,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,98,bf16]>
tensor<[1,1,1,98,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,99,bf16]>
tensor<[1,1,1,99,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,32,32,bf16]>
tensor<[1,1,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,45,45,bf16]>
tensor<[1,1,45,45,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,5,5,bf16]>
tensor<[1,1,5,5,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,7,7,bf16]>
tensor<[1,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,10,ui32]>
tensor<[1,1,10,10,ui32]>
tensor<[1,1,10,10,ui32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,10,10,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,12,ui32]>
tensor<[1,1,12,12,ui32]>
tensor<[1,1,12,12,ui32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,12,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,14,ui32]>
tensor<[1,1,14,14,ui32]>
tensor<[1,1,14,14,ui32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,14,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,16,ui32]>
tensor<[1,1,16,16,ui32]>
tensor<[1,1,16,16,ui32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,16,1,f32]>
tensor<[1,1,1,16,2,f32]>
tensor<[1,1,1,16,2,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,16,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,256,ui32]>
tensor<[1,1,256,256,ui32]>
tensor<[1,1,256,256,ui32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,256,256,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,25,ui32]>
tensor<[1,1,25,25,ui32]>
tensor<[1,1,25,25,ui32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,25,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,6,ui32]>
tensor<[1,1,6,6,ui32]>
tensor<[1,1,6,6,ui32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,6,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,7,ui32]>
tensor<[1,1,7,7,ui32]>
tensor<[1,1,7,7,ui32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,7,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,9,ui32]>
tensor<[1,1,9,9,ui32]>
tensor<[1,1,9,9,ui32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,9,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,64,7,f32]>
tensor<[1,71,64,7,f32]>
tensor<[1,71,64,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4544 + d1 * 64 + d2, d3), memory_config: (142, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4544 + d1 * 64 + d2, d3), memory_config: (142, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4544 + d1 * 64 + d2, d3), memory_config: (142, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,7,64,f32]>
tensor<[1,71,7,64,f32]>
tensor<[1,71,7,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2,1,12,128,bf16]>
tensor<[1,2,6,12,128,bf16]>
tensor<[1,2,6,12,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 24 + d1 * 12 + d2 * 12 + d3, d4), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 144 + d1 * 72 + d2 * 12 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 144 + d1 * 72 + d2 * 12 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,12,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 144 + d1 * 72 + d2 * 12 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,13,128,bf16]>
tensor<[1,2,6,13,128,bf16]>
tensor<[1,2,6,13,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 26 + d1 * 13 + d2 * 13 + d3, d4), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 156 + d1 * 78 + d2 * 13 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 156 + d1 * 78 + d2 * 13 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,13,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 156 + d1 * 78 + d2 * 13 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,14,128,bf16]>
tensor<[1,2,6,14,128,bf16]>
tensor<[1,2,6,14,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 28 + d1 * 14 + d2 * 14 + d3, d4), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 168 + d1 * 84 + d2 * 14 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 168 + d1 * 84 + d2 * 14 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,14,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 168 + d1 * 84 + d2 * 14 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,15,128,bf16]>
tensor<[1,2,6,15,128,bf16]>
tensor<[1,2,6,15,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 30 + d1 * 15 + d2 * 15 + d3, d4), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 180 + d1 * 90 + d2 * 15 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 180 + d1 * 90 + d2 * 15 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,15,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 180 + d1 * 90 + d2 * 15 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,16,128,bf16]>
tensor<[1,2,6,16,128,bf16]>
tensor<[1,2,6,16,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 32 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 192 + d1 * 96 + d2 * 16 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 192 + d1 * 96 + d2 * 16 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,16,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 192 + d1 * 96 + d2 * 16 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,17,128,bf16]>
tensor<[1,2,6,17,128,bf16]>
tensor<[1,2,6,17,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 34 + d1 * 17 + d2 * 17 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 204 + d1 * 102 + d2 * 17 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 204 + d1 * 102 + d2 * 17 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,17,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 204 + d1 * 102 + d2 * 17 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,18,128,bf16]>
tensor<[1,2,6,18,128,bf16]>
tensor<[1,2,6,18,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 36 + d1 * 18 + d2 * 18 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 216 + d1 * 108 + d2 * 18 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 216 + d1 * 108 + d2 * 18 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,18,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 216 + d1 * 108 + d2 * 18 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,19,128,bf16]>
tensor<[1,2,6,19,128,bf16]>
tensor<[1,2,6,19,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 38 + d1 * 19 + d2 * 19 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 228 + d1 * 114 + d2 * 19 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 228 + d1 * 114 + d2 * 19 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,19,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 228 + d1 * 114 + d2 * 19 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,20,128,bf16]>
tensor<[1,2,6,20,128,bf16]>
tensor<[1,2,6,20,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 40 + d1 * 20 + d2 * 20 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 240 + d1 * 120 + d2 * 20 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 240 + d1 * 120 + d2 * 20 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,20,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 240 + d1 * 120 + d2 * 20 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,21,128,bf16]>
tensor<[1,2,6,21,128,bf16]>
tensor<[1,2,6,21,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 42 + d1 * 21 + d2 * 21 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 252 + d1 * 126 + d2 * 21 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 252 + d1 * 126 + d2 * 21 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,21,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 252 + d1 * 126 + d2 * 21 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,22,128,bf16]>
tensor<[1,2,6,22,128,bf16]>
tensor<[1,2,6,22,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 44 + d1 * 22 + d2 * 22 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 264 + d1 * 132 + d2 * 22 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 264 + d1 * 132 + d2 * 22 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,22,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 264 + d1 * 132 + d2 * 22 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,23,128,bf16]>
tensor<[1,2,6,23,128,bf16]>
tensor<[1,2,6,23,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 46 + d1 * 23 + d2 * 23 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 276 + d1 * 138 + d2 * 23 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 276 + d1 * 138 + d2 * 23 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,23,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 276 + d1 * 138 + d2 * 23 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,24,128,bf16]>
tensor<[1,2,6,24,128,bf16]>
tensor<[1,2,6,24,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 48 + d1 * 24 + d2 * 24 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 288 + d1 * 144 + d2 * 24 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 288 + d1 * 144 + d2 * 24 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,24,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 288 + d1 * 144 + d2 * 24 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,25,128,bf16]>
tensor<[1,2,6,25,128,bf16]>
tensor<[1,2,6,25,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 50 + d1 * 25 + d2 * 25 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 300 + d1 * 150 + d2 * 25 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 300 + d1 * 150 + d2 * 25 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,25,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 300 + d1 * 150 + d2 * 25 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,26,128,bf16]>
tensor<[1,2,6,26,128,bf16]>
tensor<[1,2,6,26,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 52 + d1 * 26 + d2 * 26 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 312 + d1 * 156 + d2 * 26 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 312 + d1 * 156 + d2 * 26 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,26,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 312 + d1 * 156 + d2 * 26 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,27,128,bf16]>
tensor<[1,2,6,27,128,bf16]>
tensor<[1,2,6,27,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 54 + d1 * 27 + d2 * 27 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 324 + d1 * 162 + d2 * 27 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 324 + d1 * 162 + d2 * 27 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,27,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 324 + d1 * 162 + d2 * 27 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,28,128,bf16]>
tensor<[1,2,6,28,128,bf16]>
tensor<[1,2,6,28,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 56 + d1 * 28 + d2 * 28 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 336 + d1 * 168 + d2 * 28 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 336 + d1 * 168 + d2 * 28 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,28,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 336 + d1 * 168 + d2 * 28 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2,1,29,128,bf16]>
tensor<[1,2,6,29,128,bf16]>
tensor<[1,2,6,29,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 58 + d1 * 29 + d2 * 29 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 348 + d1 * 174 + d2 * 29 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 348 + d1 * 174 + d2 * 29 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,6,29,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 348 + d1 * 174 + d2 * 29 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4,1,13,128,bf16]>
tensor<[1,4,7,13,128,bf16]>
tensor<[1,4,7,13,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 52 + d1 * 13 + d2 * 13 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 364 + d1 * 91 + d2 * 13 + d3, d4), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 364 + d1 * 91 + d2 * 13 + d3, d4), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4,7,13,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 364 + d1 * 91 + d2 * 13 + d3, d4), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,5,1,16,1,f32]>
tensor<[1,5,1,16,2,f32]>
tensor<[1,5,1,16,2,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 80 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 80 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 80 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1,16,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 80 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,32,128,bf16]>
tensor<[1,8,3,32,128,bf16]>
tensor<[1,8,3,32,128,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 256 + d1 * 32 + d2 * 32 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 96 + d2 * 32 + d3, d4), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 96 + d2 * 32 + d3, d4), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,3,32,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 96 + d2 * 32 + d3, d4), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[2,1,1,7,ui32]>
tensor<[2,1,7,7,ui32]>
tensor<[2,1,7,7,ui32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,7,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[13,13,bf16]>
tensor<[13,13,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,10,bf16]>
tensor<[1,10,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,11,bf16]>
tensor<[1,11,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,12,bf16]>
tensor<[1,12,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,13,bf16]>
tensor<[1,13,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,14,bf16]>
tensor<[1,14,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,15,bf16]>
tensor<[1,15,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,16,bf16]>
tensor<[1,16,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,17,bf16]>
tensor<[1,17,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,18,bf16]>
tensor<[1,18,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,19,bf16]>
tensor<[1,19,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,20,bf16]>
tensor<[1,20,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,21,bf16]>
tensor<[1,21,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,22,bf16]>
tensor<[1,22,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,23,bf16]>
tensor<[1,23,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,24,bf16]>
tensor<[1,24,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,25,bf16]>
tensor<[1,25,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,26,bf16]>
tensor<[1,26,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,27,bf16]>
tensor<[1,27,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,28,bf16]>
tensor<[1,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,29,bf16]>
tensor<[1,29,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,6,bf16]>
tensor<[1,6,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,7,bf16]>
tensor<[1,7,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,8,bf16]>
tensor<[1,8,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,9,bf16]>
tensor<[1,9,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[32,32,bf16]>
tensor<[32,32,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[5,5,bf16]>
tensor<[5,5,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[6,6,f32]>
tensor<[6,6,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,512,f32]>
tensor<[1,1024,512,f32]>
tensor<[1,1024,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,512,bf16]>
tensor<[1,1024,512,bf16]>
tensor<[1,1024,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,6144,f32]>
tensor<[1,1024,6144,f32]>
tensor<[1,1024,6144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,640,bf16]>
tensor<[1,1024,640,bf16]>
tensor<[1,1024,640,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,10,3072,f32]>
tensor<[1,10,3072,f32]>
tensor<[1,10,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,3072,bf16]>
tensor<[1,10,3072,bf16]>
tensor<[1,10,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,768,bf16]>
tensor<[1,10,768,bf16]>
tensor<[1,10,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1200,1280,f32]>
tensor<[1,1200,1280,f32]>
tensor<[1,1200,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1200,1280,bf16]>
tensor<[1,1200,1280,bf16]>
tensor<[1,1200,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1370,5120,f32]>
tensor<[1,1370,5120,f32]>
tensor<[1,1370,5120,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1370,5120,bf16]>
tensor<[1,1370,5120,bf16]>
tensor<[1,1370,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1445,768,f32]>
tensor<[1,1445,768,f32]>
tensor<[1,1445,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1445,768,bf16]>
tensor<[1,1445,768,bf16]>
tensor<[1,1445,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,14,14,2048,f32]>
tensor<[1,14,14,2048,f32]>
tensor<[1,14,14,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,14,2048,bf16]>
tensor<[1,14,14,2048,bf16]>
tensor<[1,14,14,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1500,3072,f32]>
tensor<[1,1500,3072,f32]>
tensor<[1,1500,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1500,3072,bf16]>
tensor<[1,1500,3072,bf16]>
tensor<[1,1500,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,bf16]>
tensor<[1,1536,bf16]>
tensor<[1,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16384,128,f32]>
tensor<[1,16384,128,f32]>
tensor<[1,16384,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,128,bf16]>
tensor<[1,16384,128,bf16]>
tensor<[1,16384,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16384,1536,f32]>
tensor<[1,16384,1536,f32]>
tensor<[1,16384,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,3072,f32]>
tensor<[1,16,3072,f32]>
tensor<[1,16,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,3072,bf16]>
tensor<[1,16,3072,bf16]>
tensor<[1,16,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,19200,256,f32]>
tensor<[1,19200,256,f32]>
tensor<[1,19200,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,19200,256,bf16]>
tensor<[1,19200,256,bf16]>
tensor<[1,19200,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,196,3072,f32]>
tensor<[1,196,3072,f32]>
tensor<[1,196,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,196,3072,bf16]>
tensor<[1,196,3072,bf16]>
tensor<[1,196,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,197,3072,f32]>
tensor<[1,197,3072,f32]>
tensor<[1,197,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,3072,bf16]>
tensor<[1,197,3072,bf16]>
tensor<[1,197,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,197,4096,f32]>
tensor<[1,197,4096,f32]>
tensor<[1,197,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,4096,bf16]>
tensor<[1,197,4096,bf16]>
tensor<[1,197,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,201,3072,f32]>
tensor<[1,201,3072,f32]>
tensor<[1,201,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,201,3072,bf16]>
tensor<[1,201,3072,bf16]>
tensor<[1,201,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,768,bf16]>
tensor<[1,2048,768,bf16]>
tensor<[1,2048,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1024,bf16]>
tensor<[1,256,1024,bf16]>
tensor<[1,256,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1280,bf16]>
tensor<[1,256,1280,bf16]>
tensor<[1,256,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,256,bf16]>
tensor<[1,256,256,bf16]>
tensor<[1,256,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,4096,f32]>
tensor<[1,256,4096,f32]>
tensor<[1,256,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,4096,bf16]>
tensor<[1,256,4096,bf16]>
tensor<[1,256,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,5120,f32]>
tensor<[1,256,5120,f32]>
tensor<[1,256,5120,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,5120,bf16]>
tensor<[1,256,5120,bf16]>
tensor<[1,256,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,6144,f32]>
tensor<[1,256,6144,f32]>
tensor<[1,256,6144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,257,3072,f32]>
tensor<[1,257,3072,f32]>
tensor<[1,257,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,257,3072,bf16]>
tensor<[1,257,3072,bf16]>
tensor<[1,257,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,25,3072,f32]>
tensor<[1,25,3072,f32]>
tensor<[1,25,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,25,3072,bf16]>
tensor<[1,25,3072,bf16]>
tensor<[1,25,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,28,28,1024,f32]>
tensor<[1,28,28,1024,f32]>
tensor<[1,28,28,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,28,1024,bf16]>
tensor<[1,28,28,1024,bf16]>
tensor<[1,28,28,1024,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,300,2048,f32]>
tensor<[1,300,2048,f32]>
tensor<[1,300,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,2048,bf16]>
tensor<[1,300,2048,bf16]>
tensor<[1,300,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,8,f32]>
tensor<[1,3072,8,f32]>
tensor<[1,3072,8,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4096,1280,f32]>
tensor<[1,4096,1280,f32]>
tensor<[1,4096,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1280,bf16]>
tensor<[1,4096,1280,bf16]>
tensor<[1,4096,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,256,f32]>
tensor<[1,4096,256,f32]>
tensor<[1,4096,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,256,bf16]>
tensor<[1,4096,256,bf16]>
tensor<[1,4096,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,4096,3072,f32]>
tensor<[1,4096,3072,f32]>
tensor<[1,4096,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4800,512,f32]>
tensor<[1,4800,512,f32]>
tensor<[1,4800,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4800,512,bf16]>
tensor<[1,4800,512,bf16]>
tensor<[1,4800,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,56,56,512,f32]>
tensor<[1,56,56,512,f32]>
tensor<[1,56,56,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,56,512,bf16]>
tensor<[1,56,56,512,bf16]>
tensor<[1,56,56,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,5120,f32]>
tensor<[1,64,5120,f32]>
tensor<[1,64,5120,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,5120,bf16]>
tensor<[1,64,5120,bf16]>
tensor<[1,64,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,65536,768,f32]>
tensor<[1,65536,768,f32]>
tensor<[1,65536,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,768,1500,f32]>
tensor<[1,768,1500,f32]>
tensor<[1,768,1500,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,768,1500,bf16]>
tensor<[1,768,1500,bf16]>
tensor<[1,768,1500,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,3000,f32]>
tensor<[1,768,3000,f32]>
tensor<[1,768,3000,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,768,3000,bf16]>
tensor<[1,768,3000,bf16]>
tensor<[1,768,3000,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,384,f32]>
tensor<[1,768,384,f32]>
tensor<[1,768,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,768,384,bf16]>
tensor<[1,768,384,bf16]>
tensor<[1,768,384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,7,18176,f32]>
tensor<[1,7,18176,f32]>
tensor<[1,7,18176,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,18176,bf16]>
tensor<[1,7,18176,bf16]>
tensor<[1,7,18176,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,7,7,4096,f32]>
tensor<[1,7,7,4096,f32]>
tensor<[1,7,7,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,4096,bf16]>
tensor<[1,7,7,4096,bf16]>
tensor<[1,7,7,4096,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[4,1,4096,f32]>
tensor<[4,1,4096,f32]>
tensor<[4,1,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,11,ui32]>
tensor<[1,11,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,12,ui32]>
tensor<[12,12,ui32]>
tensor<[12,12,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[12,1,ui32]>
tensor<[12,12,ui32]>
tensor<[12,12,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,12,ui32]>
tensor<[1,12,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,13,ui32]>
tensor<[13,13,ui32]>
tensor<[13,13,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[13,1,ui32]>
tensor<[13,13,ui32]>
tensor<[13,13,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,13,ui32]>
tensor<[1,13,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,14,ui32]>
tensor<[1,14,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,15,ui32]>
tensor<[1,15,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,16,ui32]>
tensor<[1,16,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,17,ui32]>
tensor<[1,17,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,18,ui32]>
tensor<[1,18,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,19,ui32]>
tensor<[1,19,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,20,ui32]>
tensor<[1,20,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,21,ui32]>
tensor<[1,21,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,22,ui32]>
tensor<[1,22,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,23,ui32]>
tensor<[1,23,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,24,ui32]>
tensor<[1,24,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,25,ui32]>
tensor<[1,25,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,26,ui32]>
tensor<[1,26,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,27,ui32]>
tensor<[1,27,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,28,ui32]>
tensor<[1,28,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,29,ui32]>
tensor<[1,29,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,32,ui32]>
tensor<[32,32,ui32]>
tensor<[32,32,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[32,1,ui32]>
tensor<[32,32,ui32]>
tensor<[32,32,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,45,ui32]>
tensor<[45,45,ui32]>
tensor<[45,45,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[45,1,ui32]>
tensor<[45,45,ui32]>
tensor<[45,45,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,46,ui32]>
tensor<[1,46,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,47,ui32]>
tensor<[1,47,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,48,ui32]>
tensor<[1,48,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,49,ui32]>
tensor<[1,49,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,50,ui32]>
tensor<[1,50,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,51,ui32]>
tensor<[1,51,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,52,ui32]>
tensor<[1,52,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,53,ui32]>
tensor<[1,53,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,54,ui32]>
tensor<[1,54,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,55,ui32]>
tensor<[1,55,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,56,ui32]>
tensor<[1,56,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,57,ui32]>
tensor<[1,57,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,58,ui32]>
tensor<[1,58,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,59,ui32]>
tensor<[1,59,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,5,ui32]>
tensor<[5,5,ui32]>
tensor<[5,5,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[5,1,ui32]>
tensor<[5,5,ui32]>
tensor<[5,5,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,60,ui32]>
tensor<[1,60,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,61,ui32]>
tensor<[1,61,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,62,ui32]>
tensor<[1,62,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,63,ui32]>
tensor<[1,63,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,64,ui32]>
tensor<[1,64,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,65,ui32]>
tensor<[1,65,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,66,ui32]>
tensor<[1,66,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,67,ui32]>
tensor<[1,67,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,68,ui32]>
tensor<[1,68,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,69,ui32]>
tensor<[1,69,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,6,ui32]>
tensor<[1,6,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,70,ui32]>
tensor<[1,70,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,71,ui32]>
tensor<[1,71,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,72,ui32]>
tensor<[1,72,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,73,ui32]>
tensor<[1,73,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,74,ui32]>
tensor<[1,74,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,75,ui32]>
tensor<[1,75,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,76,ui32]>
tensor<[1,76,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,77,ui32]>
tensor<[1,77,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,78,ui32]>
tensor<[1,78,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,79,ui32]>
tensor<[1,79,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,7,ui32]>
tensor<[1,7,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,80,ui32]>
tensor<[1,80,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,81,ui32]>
tensor<[1,81,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,82,ui32]>
tensor<[1,82,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,83,ui32]>
tensor<[1,83,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,84,ui32]>
tensor<[1,84,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,85,ui32]>
tensor<[1,85,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,86,ui32]>
tensor<[1,86,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,87,ui32]>
tensor<[1,87,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,88,ui32]>
tensor<[1,88,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,89,ui32]>
tensor<[1,89,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,8,ui32]>
tensor<[1,8,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,90,ui32]>
tensor<[1,90,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,91,ui32]>
tensor<[1,91,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,92,ui32]>
tensor<[1,92,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,93,ui32]>
tensor<[1,93,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,94,ui32]>
tensor<[1,94,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,95,ui32]>
tensor<[1,95,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,96,ui32]>
tensor<[1,96,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,97,ui32]>
tensor<[1,97,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,98,ui32]>
tensor<[1,98,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,99,ui32]>
tensor<[1,99,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,9,ui32]>
tensor<[1,9,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,1,1,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,112,112,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,16,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,16,160,160,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,184,14,14,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,184,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,184,20,20,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,200,14,14,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,200,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,200,20,20,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,14,14,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,240,20,20,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,28,28,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,240,40,40,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,10,10,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,14,14,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,480,20,20,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,10,10,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,14,14,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,672,20,20,f32]>
tensor<[1,1,1,1,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,7,7,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,960,7,7,bf16]>
tensor<[1,1,1,1,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1152,7,7,bf16]>
tensor<[1,1152,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1152,8,8,bf16]>
tensor<[1,1152,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,116,14,14,bf16]>
tensor<[1,116,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,116,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1248,9,9,bf16]>
tensor<[1,1248,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,10,10,bf16]>
tensor<[1,1280,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,12,12,bf16]>
tensor<[1,1280,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,7,7,bf16]>
tensor<[1,1280,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,9,9,bf16]>
tensor<[1,1280,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,128,2,2,f32]>
tensor<[1,128,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,128,3,3,f32]>
tensor<[1,128,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,128,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,128,5,5,f32]>
tensor<[1,128,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,134,28,28,bf16]>
tensor<[1,134,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,134,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1392,10,10,bf16]>
tensor<[1,1392,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,144,150,150,bf16]>
tensor<[1,144,150,150,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,144,190,190,bf16]>
tensor<[1,144,190,190,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,144,28,28,bf16]>
tensor<[1,144,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,144,30,30,bf16]>
tensor<[1,144,30,30,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,144,33,33,bf16]>
tensor<[1,144,33,33,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,144,56,56,bf16]>
tensor<[1,144,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,144,60,60,bf16]>
tensor<[1,144,60,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,144,65,65,bf16]>
tensor<[1,144,65,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,144,75,75,bf16]>
tensor<[1,144,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,144,95,95,bf16]>
tensor<[1,144,95,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,14,56,56,bf16]>
tensor<[1,14,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,160,7,7,bf16]>
tensor<[1,160,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1632,12,12,bf16]>
tensor<[1,1632,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,168,28,28,bf16]>
tensor<[1,168,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,168,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,192,14,14,bf16]>
tensor<[1,192,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,192,28,28,bf16]>
tensor<[1,192,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,192,38,38,bf16]>
tensor<[1,192,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,192,48,48,bf16]>
tensor<[1,192,48,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,192,75,75,bf16]>
tensor<[1,192,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,192,95,95,bf16]>
tensor<[1,192,95,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,196,14,14,bf16]>
tensor<[1,196,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,240,15,15,bf16]>
tensor<[1,240,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,240,30,30,bf16]>
tensor<[1,240,30,30,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,24,56,56,bf16]>
tensor<[1,24,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,256,10,10,f32]>
tensor<[1,256,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,256,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,256,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,256,2,2,f32]>
tensor<[1,256,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,256,3,3,f32]>
tensor<[1,256,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,256,5,5,f32]>
tensor<[1,256,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,272,7,7,bf16]>
tensor<[1,272,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,288,17,17,bf16]>
tensor<[1,288,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,288,19,19,bf16]>
tensor<[1,288,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,288,33,33,bf16]>
tensor<[1,288,33,33,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,288,38,38,bf16]>
tensor<[1,288,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,28,28,28,bf16]>
tensor<[1,28,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,320,28,28,bf16]>
tensor<[1,320,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,32,112,112,bf16]>
tensor<[1,32,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,32,120,120,bf16]>
tensor<[1,32,120,120,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,32,130,130,bf16]>
tensor<[1,32,130,130,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,32,150,150,bf16]>
tensor<[1,32,150,150,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,32,190,190,bf16]>
tensor<[1,32,190,190,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,334,14,14,bf16]>
tensor<[1,334,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,334,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,336,24,24,bf16]>
tensor<[1,336,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,336,48,48,bf16]>
tensor<[1,336,48,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,34,28,28,bf16]>
tensor<[1,34,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,384,14,14,bf16]>
tensor<[1,384,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,40,56,56,bf16]>
tensor<[1,40,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,462,7,7,bf16]>
tensor<[1,462,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,462,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,46,28,28,bf16]>
tensor<[1,46,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,480,15,15,bf16]>
tensor<[1,480,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,512,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,512,5,5,f32]>
tensor<[1,512,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,512,7,7,bf16]>
tensor<[1,512,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,528,17,17,bf16]>
tensor<[1,528,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,576,14,14,bf16]>
tensor<[1,576,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,576,19,19,bf16]>
tensor<[1,576,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,576,7,7,bf16]>
tensor<[1,576,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,58,28,28,bf16]>
tensor<[1,58,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,640,14,14,bf16]>
tensor<[1,640,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,64,112,112,bf16]>
tensor<[1,64,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,64,2,2,f32]>
tensor<[1,64,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,64,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,15,15,bf16]>
tensor<[1,672,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,24,24,bf16]>
tensor<[1,672,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,8,8,bf16]>
tensor<[1,672,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,68,14,14,bf16]>
tensor<[1,68,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,68,56,56,bf16]>
tensor<[1,68,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,720,17,17,bf16]>
tensor<[1,720,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,720,9,9,bf16]>
tensor<[1,720,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,78,28,28,bf16]>
tensor<[1,78,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,816,10,10,bf16]>
tensor<[1,816,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,816,19,19,bf16]>
tensor<[1,816,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,960,12,12,bf16]>
tensor<[1,960,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,960,24,24,bf16]>
tensor<[1,960,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,96,112,112,bf16]>
tensor<[1,96,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,96,120,120,bf16]>
tensor<[1,96,120,120,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,96,130,130,bf16]>
tensor<[1,96,130,130,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,96,56,56,bf16]>
tensor<[1,96,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,96,60,60,bf16]>
tensor<[1,96,60,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,96,65,65,bf16]>
tensor<[1,96,65,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,98,28,28,bf16]>
tensor<[1,98,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,128,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,256,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,32,512,512,bf16]>
tensor<[1,32,512,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,512,512,bf16]>
tensor<[1,32,512,512,bf16]>
tensor<[1,32,512,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,512,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,64,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,6,ui32]>
tensor<[6,6,ui32]>
tensor<[6,6,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[6,1,ui32]>
tensor<[6,6,ui32]>
tensor<[6,6,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[8,1,f32]>
tensor<[8,2048,f32]>
tensor<[8,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1024,1,1,bf16]>
tensor<[1,1024,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,11,1,f32]>
tensor<[1,11,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,120,1,1,f32]>
tensor<[1,120,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,12,1,f32]>
tensor<[1,12,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1392,1,1,bf16]>
tensor<[1,1392,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,13,1,f32]>
tensor<[1,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,13,1,f32]>
tensor<[1,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,14,1,f32]>
tensor<[1,14,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1536,1,1,bf16]>
tensor<[1,1536,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,15,1,f32]>
tensor<[1,15,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,15,1,f32]>
tensor<[1,15,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1920,1,1,bf16]>
tensor<[1,1920,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,1024,bf16]>
tensor<[1,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,768,bf16]>
tensor<[1,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,2048,1,1,bf16]>
tensor<[1,2048,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,2048,1,1,bf16]>
tensor<[1,2048,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,232,1,1,bf16]>
tensor<[1,232,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,2520,1,1,bf16]>
tensor<[1,2520,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,32,1,f32]>
tensor<[1,32,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,32,1,f32]>
tensor<[1,32,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,3712,1,1,bf16]>
tensor<[1,3712,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,480,1,1,f32]>
tensor<[1,480,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,480,1,1,f32]>
tensor<[1,480,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,696,1,1,bf16]>
tensor<[1,696,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,6,1,f32]>
tensor<[1,6,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,72,1,1,f32]>
tensor<[1,72,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,7,1,f32]>
tensor<[1,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,8,1,f32]>
tensor<[1,8,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[2,13,1,f32]>
tensor<[2,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,12,f32]>
tensor<[1,12,128,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,13,f32]>
tensor<[1,12,128,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,14,f32]>
tensor<[1,12,128,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,15,f32]>
tensor<[1,12,128,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,16,f32]>
tensor<[1,12,128,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,17,f32]>
tensor<[1,12,128,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,18,f32]>
tensor<[1,12,128,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,19,f32]>
tensor<[1,12,128,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,20,f32]>
tensor<[1,12,128,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,21,f32]>
tensor<[1,12,128,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,22,f32]>
tensor<[1,12,128,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,23,f32]>
tensor<[1,12,128,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,24,f32]>
tensor<[1,12,128,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,25,f32]>
tensor<[1,12,128,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,26,f32]>
tensor<[1,12,128,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,27,f32]>
tensor<[1,12,128,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,28,f32]>
tensor<[1,12,128,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,128,29,f32]>
tensor<[1,12,128,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,12,128,f32]>
tensor<[1,12,12,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,12,64,f32]>
tensor<[1,12,12,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,14,64,f32]>
tensor<[1,12,14,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1500,64,f32]>
tensor<[1,12,1500,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1500,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,16,64,f32]>
tensor<[1,12,16,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,197,64,f32]>
tensor<[1,12,197,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,128,f32]>
tensor<[1,12,1,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,25,64,f32]>
tensor<[1,12,25,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,50,64,f32]>
tensor<[1,12,50,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,50,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,64,10,f32]>
tensor<[1,12,64,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,64,12,f32]>
tensor<[1,12,64,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,64,14,f32]>
tensor<[1,12,64,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,64,1500,f32]>
tensor<[1,12,64,1500,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,64,16,f32]>
tensor<[1,12,64,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,64,197,f32]>
tensor<[1,12,64,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,64,25,f32]>
tensor<[1,12,64,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,64,50,f32]>
tensor<[1,12,64,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,64,7,f32]>
tensor<[1,12,64,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,64,9,f32]>
tensor<[1,12,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,7,64,f32]>
tensor<[1,12,7,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,9,64,f32]>
tensor<[1,12,9,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,128,9,f32]>
tensor<[1,16,128,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,128,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1370,80,f32]>
tensor<[1,16,1370,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1370,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,1,64,f32]>
tensor<[1,16,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,256,64,f32]>
tensor<[1,16,256,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,256,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,10,f32]>
tensor<[1,16,64,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,11,f32]>
tensor<[1,16,64,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,12,f32]>
tensor<[1,16,64,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,13,f32]>
tensor<[1,16,64,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,14,f32]>
tensor<[1,16,64,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,15,f32]>
tensor<[1,16,64,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,16,f32]>
tensor<[1,16,64,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,17,f32]>
tensor<[1,16,64,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,18,f32]>
tensor<[1,16,64,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,19,f32]>
tensor<[1,16,64,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,20,f32]>
tensor<[1,16,64,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,21,f32]>
tensor<[1,16,64,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,22,f32]>
tensor<[1,16,64,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,23,f32]>
tensor<[1,16,64,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,24,f32]>
tensor<[1,16,64,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,256,f32]>
tensor<[1,16,64,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,25,f32]>
tensor<[1,16,64,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,26,f32]>
tensor<[1,16,64,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,27,f32]>
tensor<[1,16,64,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,28,f32]>
tensor<[1,16,64,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,29,f32]>
tensor<[1,16,64,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,6,f32]>
tensor<[1,16,64,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,7,f32]>
tensor<[1,16,64,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,8,f32]>
tensor<[1,16,64,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,9,f32]>
tensor<[1,16,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,64,9,f32]>
tensor<[1,16,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,6,64,f32]>
tensor<[1,16,6,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,6,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,80,1370,f32]>
tensor<[1,16,80,1370,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,80,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,9,128,f32]>
tensor<[1,16,9,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,16,9,64,f32]>
tensor<[1,16,9,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,1,64,7,f32]>
tensor<[1,1,64,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,24,128,32,f32]>
tensor<[1,24,128,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,24,32,128,f32]>
tensor<[1,24,32,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,28,128,13,f32]>
tensor<[1,28,128,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,28,13,128,f32]>
tensor<[1,28,13,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,128,32,f32]>
tensor<[1,32,128,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,32,128,f32]>
tensor<[1,32,32,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,3,1445,64,f32]>
tensor<[1,3,1445,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,1445,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,3,64,1445,f32]>
tensor<[1,3,64,1445,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,64,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,64,64,9,f32]>
tensor<[1,64,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,64,9,64,f32]>
tensor<[1,64,9,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,71,7,64,f32]>
tensor<[1,71,7,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,1024,80,f32]>
tensor<[1,8,1024,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,160,256,f32]>
tensor<[1,8,160,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,160,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,160,64,f32]>
tensor<[1,8,160,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,160,9,f32]>
tensor<[1,8,160,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,160,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,256,160,f32]>
tensor<[1,8,256,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,4096,40,f32]>
tensor<[1,8,4096,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,40,4096,f32]>
tensor<[1,8,40,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,40,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,40,9,f32]>
tensor<[1,8,40,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,40,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,64,160,f32]>
tensor<[1,8,64,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,80,1024,f32]>
tensor<[1,8,80,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,80,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,8,80,9,f32]>
tensor<[1,8,80,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,80,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[2,8,64,7,f32]>
tensor<[2,8,64,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,8,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[2,8,7,64,f32]>
tensor<[2,8,7,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,8,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[4,16,1,64,f32]>
tensor<[4,16,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[4,16,64,1,f32]>
tensor<[4,16,64,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,64,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[100,1,1,f32]>
tensor<[100,1,256,f32]>
tensor<[100,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,256,f32]>
tensor<[100,1,256,f32]>
tensor<[100,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[100,2048,f32]>
tensor<[100,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[100,256,f32]>
tensor<[100,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[100,4,f32]>
tensor<[100,4,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[100,92,f32]>
tensor<[100,92,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,92,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,f32]>
tensor<[1024,f32]>
tensor<[1024,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1024,1536,f32]>
tensor<[1024,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1024,160,f32]>
tensor<[1024,160,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1024,3072,f32]>
tensor<[1024,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1024,5120,f32]>
tensor<[1024,5120,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1024,6144,f32]>
tensor<[1024,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1024,640,f32]>
tensor<[1024,640,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1024,768,f32]>
tensor<[1024,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[10,250002,f32]>
tensor<[10,250002,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[10,250002,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[10,3072,f32]>
tensor<[10,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[10,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[10,768,f32]>
tensor<[10,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1200,1280,f32]>
tensor<[1200,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1200,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1200,320,f32]>
tensor<[1200,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1200,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[121,12,144,32,f32]>
tensor<[121,12,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[121,6,144,32,f32]>
tensor<[121,6,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1296,1536,f32]>
tensor<[1296,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1296,2304,f32]>
tensor<[1296,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1296,4608,f32]>
tensor<[1296,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1296,768,f32]>
tensor<[1296,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[12,1536,f32]>
tensor<[12,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[12,256,f32]>
tensor<[12,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[12,2,f32]>
tensor<[12,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[12,3072,f32]>
tensor<[12,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[12,768,f32]>
tensor<[12,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1370,1280,f32]>
tensor<[1370,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1370,3840,f32]>
tensor<[1370,3840,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1370,3840,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1370,5120,f32]>
tensor<[1370,5120,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1370,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[13,2,f32]>
tensor<[13,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[13,3584,f32]>
tensor<[13,3584,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[13,512,f32]>
tensor<[13,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1445,192,f32]>
tensor<[1445,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1445,768,f32]>
tensor<[1445,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1445,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[14,2048,f32]>
tensor<[14,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[14,2,f32]>
tensor<[14,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[14,3072,f32]>
tensor<[14,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[14,512,f32]>
tensor<[14,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[14,768,f32]>
tensor<[14,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1500,3072,f32]>
tensor<[1500,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1500,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1500,768,f32]>
tensor<[1500,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,f32]>
tensor<[1536,f32]>
tensor<[1536,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[16384,128,f32]>
tensor<[16384,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[16384,1536,f32]>
tensor<[16384,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[16384,192,f32]>
tensor<[16384,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[16384,32,f32]>
tensor<[16384,32,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[16384,384,f32]>
tensor<[16384,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[16384,768,f32]>
tensor<[16384,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,32,f32]>
tensor<[1,16,32,f32]>
tensor<[1,16,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[16,3072,f32]>
tensor<[16,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[16,768,f32]>
tensor<[16,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[16,8,49,32,bf16]>
tensor<[16,8,49,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[17424,1152,f32]>
tensor<[17424,1152,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[17424,192,f32]>
tensor<[17424,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[17424,384,f32]>
tensor<[17424,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[17424,576,f32]>
tensor<[17424,576,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[19200,256,f32]>
tensor<[19200,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[19200,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[19200,64,f32]>
tensor<[19200,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[19200,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[196,1536,f32]>
tensor<[196,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[196,3072,f32]>
tensor<[196,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[196,512,f32]>
tensor<[196,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[196,768,f32]>
tensor<[196,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[197,1024,f32]>
tensor<[197,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[197,3072,f32]>
tensor<[197,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[197,4096,f32]>
tensor<[197,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[197,768,f32]>
tensor<[197,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,100,1,1,f32]>
tensor<[1,100,14,14,f32]>
tensor<[1,100,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,10,10,f32]>
tensor<[1,1024,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,14,14,f32]>
tensor<[1,1024,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1536,f32]>
tensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,160,f32]>
tensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,16,16,f32]>
tensor<[1,1024,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,19,19,f32]>
tensor<[1,1024,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,28,28,f32]>
tensor<[1,1024,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,3072,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,bf16]>
tensor<[1,1024,45,80,bf16]>
tensor<[1,1024,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,640,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,7,7,f32]>
tensor<[1,1024,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,bf16]>
tensor<[1,1024,7,7,bf16]>
tensor<[1,1024,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1056,1,1,f32]>
tensor<[1,1056,14,14,f32]>
tensor<[1,1056,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1056,1,1,f32]>
tensor<[1,1056,7,7,f32]>
tensor<[1,1056,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1088,1,1,f32]>
tensor<[1,1088,14,14,f32]>
tensor<[1,1088,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1088,1,1,f32]>
tensor<[1,1088,7,7,f32]>
tensor<[1,1088,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,10,f32]>
tensor<[1,10,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,1,f32]>
tensor<[1,10,1024,f32]>
tensor<[1,10,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,1,f32]>
tensor<[1,10,1536,f32]>
tensor<[1,10,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,1,f32]>
tensor<[1,10,512,f32]>
tensor<[1,10,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,1,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1120,1,1,f32]>
tensor<[1,1120,14,14,f32]>
tensor<[1,1120,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1120,1,1,f32]>
tensor<[1,1120,7,7,f32]>
tensor<[1,1120,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,1,1,f32]>
tensor<[1,112,14,14,f32]>
tensor<[1,112,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,1,1,f32]>
tensor<[1,112,15,15,f32]>
tensor<[1,112,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,1,1,f32]>
tensor<[1,112,20,20,f32]>
tensor<[1,112,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,1,1,f32]>
tensor<[1,112,24,24,f32]>
tensor<[1,112,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,1,1,f32]>
tensor<[1,112,7,7,f32]>
tensor<[1,112,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1152,1,1,f32]>
tensor<[1,1152,14,14,f32]>
tensor<[1,1152,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1152,1,1,f32]>
tensor<[1,1152,7,7,f32]>
tensor<[1,1152,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1152,1,1,f32]>
tensor<[1,1152,8,8,f32]>
tensor<[1,1152,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,116,1,1,f32]>
tensor<[1,116,14,14,f32]>
tensor<[1,116,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 116 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1184,1,1,f32]>
tensor<[1,1184,14,14,f32]>
tensor<[1,1184,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1184,1,1,f32]>
tensor<[1,1184,7,7,f32]>
tensor<[1,1184,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,11,1,f32]>
tensor<[1,11,1536,f32]>
tensor<[1,11,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1200,1,f32]>
tensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,320,f32]>
tensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,f32]>
tensor<[1,120,14,14,f32]>
tensor<[1,120,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,f32]>
tensor<[1,120,17,17,f32]>
tensor<[1,120,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,f32]>
tensor<[1,120,28,28,f32]>
tensor<[1,120,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,bf16]>
tensor<[1,120,28,28,bf16]>
tensor<[1,120,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,f32]>
tensor<[1,120,40,40,f32]>
tensor<[1,120,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1216,1,1,f32]>
tensor<[1,1216,14,14,f32]>
tensor<[1,1216,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1216,1,1,f32]>
tensor<[1,1216,7,7,f32]>
tensor<[1,1216,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1248,1,1,f32]>
tensor<[1,1248,14,14,f32]>
tensor<[1,1248,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1248,1,1,f32]>
tensor<[1,1248,7,7,f32]>
tensor<[1,1248,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1248,1,1,f32]>
tensor<[1,1248,9,9,f32]>
tensor<[1,1248,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1280,f32]>
tensor<[1,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,10,10,f32]>
tensor<[1,1280,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,12,12,f32]>
tensor<[1,1280,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,14,14,f32]>
tensor<[1,1280,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,16,16,f32]>
tensor<[1,1280,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,32,32,f32]>
tensor<[1,1280,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,7,7,f32]>
tensor<[1,1280,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,8,8,f32]>
tensor<[1,1280,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,8,8,f32]>
tensor<[1,1280,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,9,9,f32]>
tensor<[1,1280,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,128,f32]>
tensor<[1,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,112,112,f32]>
tensor<[1,128,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,128,128,f32]>
tensor<[1,128,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,14,14,f32]>
tensor<[1,128,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,150,150,f32]>
tensor<[1,128,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,17,17,f32]>
tensor<[1,128,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,bf16]>
tensor<[1,128,180,320,bf16]>
tensor<[1,128,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,28,28,f32]>
tensor<[1,128,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,2,2,f32]>
tensor<[1,128,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,32,32,f32]>
tensor<[1,128,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,3,3,f32]>
tensor<[1,128,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,56,56,f32]>
tensor<[1,128,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,5,5,f32]>
tensor<[1,128,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,64,64,f32]>
tensor<[1,128,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,75,75,f32]>
tensor<[1,128,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,7,7,f32]>
tensor<[1,128,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,bf16]>
tensor<[1,128,90,160,bf16]>
tensor<[1,128,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,12,f32]>
tensor<[1,12,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,128,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,12,128,bf16]>
tensor<[1,12,12,128,bf16]>
tensor<[1,12,12,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,f32]>
tensor<[1,12,1536,f32]>
tensor<[1,12,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,128,bf16]>
tensor<[1,12,1,128,bf16]>
tensor<[1,12,1,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,12,257,257,bf16]>
tensor<[1,12,257,257,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,257,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,56,56,f32]>
tensor<[1,12,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,f32]>
tensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1312,1,1,f32]>
tensor<[1,1312,14,14,f32]>
tensor<[1,1312,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1312,1,1,f32]>
tensor<[1,1312,7,7,f32]>
tensor<[1,1312,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1344,1,1,f32]>
tensor<[1,1344,14,14,f32]>
tensor<[1,1344,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1344,1,1,f32]>
tensor<[1,1344,28,28,f32]>
tensor<[1,1344,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1344,1,1,f32]>
tensor<[1,1344,7,7,f32]>
tensor<[1,1344,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,134,1,1,f32]>
tensor<[1,134,28,28,f32]>
tensor<[1,134,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 134 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,136,1,1,f32]>
tensor<[1,136,19,19,f32]>
tensor<[1,136,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1280,f32]>
tensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1370,1,f32]>
tensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1376,1,1,f32]>
tensor<[1,1376,14,14,f32]>
tensor<[1,1376,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1376,1,1,f32]>
tensor<[1,1376,7,7,f32]>
tensor<[1,1376,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1392,1,1,f32]>
tensor<[1,1392,10,10,f32]>
tensor<[1,1392,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1392,1,1,f32]>
tensor<[1,1392,14,14,f32]>
tensor<[1,1392,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1392,1,1,f32]>
tensor<[1,1392,28,28,f32]>
tensor<[1,1392,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,13,128,f32]>
tensor<[1,13,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,13,1,f32]>
tensor<[1,13,1536,f32]>
tensor<[1,13,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,13,1,f32]>
tensor<[1,13,3584,f32]>
tensor<[1,13,3584,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1408,1,1,f32]>
tensor<[1,1408,14,14,f32]>
tensor<[1,1408,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1408,1,1,f32]>
tensor<[1,1408,7,7,f32]>
tensor<[1,1408,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1440,1,1,f32]>
tensor<[1,1440,14,14,f32]>
tensor<[1,1440,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1440,1,1,f32]>
tensor<[1,1440,7,7,f32]>
tensor<[1,1440,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,192,f32]>
tensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1445,1,f32]>
tensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,14,14,f32]>
tensor<[1,144,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,150,150,f32]>
tensor<[1,144,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,190,190,f32]>
tensor<[1,144,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,28,28,f32]>
tensor<[1,144,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,30,30,f32]>
tensor<[1,144,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,33,33,f32]>
tensor<[1,144,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,56,56,f32]>
tensor<[1,144,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,60,60,f32]>
tensor<[1,144,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,65,65,f32]>
tensor<[1,144,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,75,75,f32]>
tensor<[1,144,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,7,7,f32]>
tensor<[1,144,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,95,95,f32]>
tensor<[1,144,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1472,1,1,f32]>
tensor<[1,1472,14,14,f32]>
tensor<[1,1472,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1472,1,1,f32]>
tensor<[1,1472,7,7,f32]>
tensor<[1,1472,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,128,f32]>
tensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1,f32]>
tensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1024,f32]>
tensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,14,1,f32]>
tensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,14,1,f32]>
tensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,512,f32]>
tensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1,f32]>
tensor<[1,14,1536,f32]>
tensor<[1,14,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,14,1,1,f32]>
tensor<[1,14,56,56,f32]>
tensor<[1,14,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1,f32]>
tensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1500,1,f32]>
tensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1504,1,1,f32]>
tensor<[1,1504,14,14,f32]>
tensor<[1,1504,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1504,1,1,f32]>
tensor<[1,1504,7,7,f32]>
tensor<[1,1504,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,1,1,f32]>
tensor<[1,1536,10,10,f32]>
tensor<[1,1536,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,1,1,f32]>
tensor<[1,1536,14,14,f32]>
tensor<[1,1536,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,1,1,f32]>
tensor<[1,1536,7,7,f32]>
tensor<[1,1536,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1568,1,1,f32]>
tensor<[1,1568,14,14,f32]>
tensor<[1,1568,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1568,1,1,f32]>
tensor<[1,1568,7,7,f32]>
tensor<[1,1568,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,15,1,f32]>
tensor<[1,15,1536,f32]>
tensor<[1,15,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,15,1,f32]>
tensor<[1,15,512,f32]>
tensor<[1,15,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1600,1,1,f32]>
tensor<[1,1600,14,14,f32]>
tensor<[1,1600,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1600,1,1,f32]>
tensor<[1,1600,7,7,f32]>
tensor<[1,1600,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,1,1,f32]>
tensor<[1,160,14,14,f32]>
tensor<[1,160,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,1,1,f32]>
tensor<[1,160,24,24,f32]>
tensor<[1,160,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,1,1,f32]>
tensor<[1,160,28,28,f32]>
tensor<[1,160,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,1,1,f32]>
tensor<[1,160,56,56,f32]>
tensor<[1,160,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,1,1,f32]>
tensor<[1,160,7,7,f32]>
tensor<[1,160,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1632,1,1,f32]>
tensor<[1,1632,12,12,f32]>
tensor<[1,1632,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1632,1,1,f32]>
tensor<[1,1632,14,14,f32]>
tensor<[1,1632,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1632,1,1,f32]>
tensor<[1,1632,7,7,f32]>
tensor<[1,1632,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,192,f32]>
tensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,32,f32]>
tensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,384,f32]>
tensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1664,1,1,f32]>
tensor<[1,1664,14,14,f32]>
tensor<[1,1664,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1664,1,1,f32]>
tensor<[1,1664,7,7,f32]>
tensor<[1,1664,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,168,1,1,f32]>
tensor<[1,168,28,28,f32]>
tensor<[1,168,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1696,1,1,f32]>
tensor<[1,1696,14,14,f32]>
tensor<[1,1696,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1696,1,1,f32]>
tensor<[1,1696,7,7,f32]>
tensor<[1,1696,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,112,112,f32]>
tensor<[1,16,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,120,120,f32]>
tensor<[1,16,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,130,130,f32]>
tensor<[1,16,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,14,14,f32]>
tensor<[1,16,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,224,224,f32]>
tensor<[1,16,224,224,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,28,28,f32]>
tensor<[1,16,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,56,56,f32]>
tensor<[1,16,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,f32]>
tensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1728,1,1,f32]>
tensor<[1,1728,14,14,f32]>
tensor<[1,1728,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1728,1,1,f32]>
tensor<[1,1728,7,7,f32]>
tensor<[1,1728,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1760,1,1,f32]>
tensor<[1,1760,14,14,f32]>
tensor<[1,1760,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1760,1,1,f32]>
tensor<[1,1760,7,7,f32]>
tensor<[1,1760,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1792,1,1,f32]>
tensor<[1,1792,14,14,f32]>
tensor<[1,1792,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1792,1,1,f32]>
tensor<[1,1792,7,7,f32]>
tensor<[1,1792,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1824,1,1,f32]>
tensor<[1,1824,7,7,f32]>
tensor<[1,1824,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,184,1,1,f32]>
tensor<[1,184,14,14,f32]>
tensor<[1,184,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,184,1,1,f32]>
tensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,184,1,1,f32]>
tensor<[1,184,7,7,f32]>
tensor<[1,184,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1856,1,1,f32]>
tensor<[1,1856,7,7,f32]>
tensor<[1,1856,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1856 + d1 + d2, d3), memory_config: (58, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1888,1,1,f32]>
tensor<[1,1888,7,7,f32]>
tensor<[1,1888,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1888 + d1 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,1,1,f32]>
tensor<[1,18,14,14,f32]>
tensor<[1,18,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,1,1,f32]>
tensor<[1,18,28,28,f32]>
tensor<[1,18,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,1,1,f32]>
tensor<[1,18,56,56,f32]>
tensor<[1,18,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,1,1,f32]>
tensor<[1,18,7,7,f32]>
tensor<[1,18,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,19200,1,f32]>
tensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,64,f32]>
tensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1920,1,1,f32]>
tensor<[1,1920,16,16,f32]>
tensor<[1,1920,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1920,1,1,f32]>
tensor<[1,1920,32,32,f32]>
tensor<[1,1920,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1920,1,1,f32]>
tensor<[1,1920,7,7,f32]>
tensor<[1,1920,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,14,14,f32]>
tensor<[1,192,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,17,17,f32]>
tensor<[1,192,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,28,28,f32]>
tensor<[1,192,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,35,35,f32]>
tensor<[1,192,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,38,38,f32]>
tensor<[1,192,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,48,48,f32]>
tensor<[1,192,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,56,56,f32]>
tensor<[1,192,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,75,75,f32]>
tensor<[1,192,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,7,7,f32]>
tensor<[1,192,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,8,8,f32]>
tensor<[1,192,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,95,95,f32]>
tensor<[1,192,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,196,1,1,f32]>
tensor<[1,196,14,14,f32]>
tensor<[1,196,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,196,1,f32]>
tensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1024,f32]>
tensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,1,f32]>
tensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,1,f32]>
tensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,128,f32]>
tensor<[1,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,1536,f32]>
tensor<[1,1,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,32,f32]>
tensor<[1,1,16,32,f32]>
tensor<[1,1,16,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,201,bf16]>
tensor<[1,1,1,201,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,2048,bf16]>
tensor<[1,1,1,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,480,640,bf16]>
tensor<[1,1,480,640,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,512,bf16]>
tensor<[1,1,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,512,f32]>
tensor<[1,1,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,200,1,1,f32]>
tensor<[1,200,14,14,f32]>
tensor<[1,200,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,200,1,1,f32]>
tensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,200,1,1,f32]>
tensor<[1,200,7,7,f32]>
tensor<[1,200,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,201,1,f32]>
tensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,1,1,f32]>
tensor<[1,2048,10,10,f32]>
tensor<[1,2048,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,1,1,f32]>
tensor<[1,2048,14,14,f32]>
tensor<[1,2048,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,1,1,bf16]>
tensor<[1,2048,23,40,bf16]>
tensor<[1,2048,23,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,2048,1,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,1,1,f32]>
tensor<[1,2048,7,7,f32]>
tensor<[1,2048,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,208,1,1,f32]>
tensor<[1,208,14,14,f32]>
tensor<[1,208,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,208,1,1,f32]>
tensor<[1,208,9,9,f32]>
tensor<[1,208,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,20,1,1,f32]>
tensor<[1,20,28,28,f32]>
tensor<[1,20,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,21843,f32]>
tensor<[1,21843,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,21843,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,14,14,f32]>
tensor<[1,224,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,17,17,f32]>
tensor<[1,224,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,28,28,f32]>
tensor<[1,224,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,35,35,f32]>
tensor<[1,224,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,56,56,f32]>
tensor<[1,224,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,7,7,f32]>
tensor<[1,224,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,232,1,1,f32]>
tensor<[1,232,10,10,f32]>
tensor<[1,232,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,232,1,1,f32]>
tensor<[1,232,112,112,f32]>
tensor<[1,232,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,232,1,1,f32]>
tensor<[1,232,56,56,f32]>
tensor<[1,232,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,14,14,f32]>
tensor<[1,240,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,15,15,f32]>
tensor<[1,240,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,28,28,f32]>
tensor<[1,240,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,30,30,f32]>
tensor<[1,240,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,112,112,f32]>
tensor<[1,24,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,14,14,f32]>
tensor<[1,24,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,150,150,f32]>
tensor<[1,24,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,190,190,f32]>
tensor<[1,24,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,28,28,f32]>
tensor<[1,24,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,32,128,bf16]>
tensor<[1,24,32,128,bf16]>
tensor<[1,24,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,56,56,f32]>
tensor<[1,24,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,60,60,f32]>
tensor<[1,24,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,65,65,f32]>
tensor<[1,24,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,80,80,f32]>
tensor<[1,24,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2520,1,1,f32]>
tensor<[1,2520,14,14,f32]>
tensor<[1,2520,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2520,1,1,f32]>
tensor<[1,2520,7,7,f32]>
tensor<[1,2520,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2560,1,1,f32]>
tensor<[1,2560,16,16,f32]>
tensor<[1,2560,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2560,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2560,1,1,f32]>
tensor<[1,2560,8,8,f32]>
tensor<[1,2560,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2560,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,256,f32]>
tensor<[1,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1024,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,10,10,f32]>
tensor<[1,256,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1280,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,128,128,f32]>
tensor<[1,256,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,14,14,f32]>
tensor<[1,256,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1536,f32]>
tensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,160,f32]>
tensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,16,16,f32]>
tensor<[1,256,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,17,17,f32]>
tensor<[1,256,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,bf16]>
tensor<[1,256,180,320,bf16]>
tensor<[1,256,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,256,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,28,28,f32]>
tensor<[1,256,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,2,2,f32]>
tensor<[1,256,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,3072,f32]>
tensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,32,f32]>
tensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,32,32,f32]>
tensor<[1,256,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,38,38,f32]>
tensor<[1,256,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,3,3,f32]>
tensor<[1,256,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,bf16]>
tensor<[1,256,45,80,bf16]>
tensor<[1,256,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,512,f32]>
tensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,bf16]>
tensor<[1,256,56,56,bf16]>
tensor<[1,256,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,56,56,f32]>
tensor<[1,256,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,5,5,f32]>
tensor<[1,256,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,64,f32]>
tensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,64,64,f32]>
tensor<[1,256,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,75,75,f32]>
tensor<[1,256,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,7,7,f32]>
tensor<[1,256,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,8,8,f32]>
tensor<[1,256,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,bf16]>
tensor<[1,256,90,160,bf16]>
tensor<[1,256,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,257,1,f32]>
tensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,25,1,f32]>
tensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,272,1,1,f32]>
tensor<[1,272,12,12,f32]>
tensor<[1,272,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,272,1,1,f32]>
tensor<[1,272,7,7,f32]>
tensor<[1,272,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,27,1,f32]>
tensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,14,14,f32]>
tensor<[1,288,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,17,17,f32]>
tensor<[1,288,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,19,19,f32]>
tensor<[1,288,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,28,28,f32]>
tensor<[1,288,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,33,33,f32]>
tensor<[1,288,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,38,38,f32]>
tensor<[1,288,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,13,128,bf16]>
tensor<[1,28,13,128,bf16]>
tensor<[1,28,13,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,28,28,1,f32]>
tensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,256,f32]>
tensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,1,1,f32]>
tensor<[1,28,28,28,f32]>
tensor<[1,28,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,28,1,f32]>
tensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,512,f32]>
tensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,2,f32]>
tensor<[1,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,12,128,bf16]>
tensor<[1,2,12,128,bf16]>
tensor<[1,2,12,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,1,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,128,f32]>
tensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,320,f32]>
tensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,512,f32]>
tensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,64,f32]>
tensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,3072,f32]>
tensor<[1,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,10,bf16]>
tensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,1,bf16]>
tensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,10,1,f32]>
tensor<[1,3072,10,16,f32]>
tensor<[1,3072,10,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,10,16,f32]>
tensor<[1,3072,10,16,f32]>
tensor<[1,3072,10,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,11,bf16]>
tensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,1,bf16]>
tensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,11,1,f32]>
tensor<[1,3072,11,16,f32]>
tensor<[1,3072,11,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,11,16,f32]>
tensor<[1,3072,11,16,f32]>
tensor<[1,3072,11,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 * 11 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,12,bf16]>
tensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,1,bf16]>
tensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,12,1,f32]>
tensor<[1,3072,12,16,f32]>
tensor<[1,3072,12,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,12,16,f32]>
tensor<[1,3072,12,16,f32]>
tensor<[1,3072,12,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,13,bf16]>
tensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,1,bf16]>
tensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,13,1,f32]>
tensor<[1,3072,13,16,f32]>
tensor<[1,3072,13,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,13,16,f32]>
tensor<[1,3072,13,16,f32]>
tensor<[1,3072,13,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,14,bf16]>
tensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,1,bf16]>
tensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.addtensor<[1,3072,14,1,f32]>
tensor<[1,3072,14,16,f32]>
tensor<[1,3072,14,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,14,16,f32]>
tensor<[1,3072,14,16,f32]>
tensor<[1,3072,14,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,15,bf16]>
tensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,1,bf16]>
tensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,15,1,f32]>
tensor<[1,3072,15,16,f32]>
tensor<[1,3072,15,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,15,16,f32]>
tensor<[1,3072,15,16,f32]>
tensor<[1,3072,15,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 * 15 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,10,1,f32]>
tensor<[1,3072,10,16,f32]>
tensor<[1,3072,10,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,11,1,f32]>
tensor<[1,3072,11,16,f32]>
tensor<[1,3072,11,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,12,1,f32]>
tensor<[1,3072,12,16,f32]>
tensor<[1,3072,12,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,13,1,f32]>
tensor<[1,3072,13,16,f32]>
tensor<[1,3072,13,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,14,1,f32]>
tensor<[1,3072,14,16,f32]>
tensor<[1,3072,14,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,15,1,f32]>
tensor<[1,3072,15,16,f32]>
tensor<[1,3072,15,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,6,1,f32]>
tensor<[1,3072,6,16,f32]>
tensor<[1,3072,6,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,7,1,f32]>
tensor<[1,3072,7,16,f32]>
tensor<[1,3072,7,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,8,1,f32]>
tensor<[1,3072,8,16,f32]>
tensor<[1,3072,8,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3072,9,1,f32]>
tensor<[1,3072,9,16,f32]>
tensor<[1,3072,9,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,6,bf16]>
tensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,1,bf16]>
tensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,6,1,f32]>
tensor<[1,3072,6,16,f32]>
tensor<[1,3072,6,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,6,16,f32]>
tensor<[1,3072,6,16,f32]>
tensor<[1,3072,6,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,7,bf16]>
tensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,1,bf16]>
tensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,7,1,f32]>
tensor<[1,3072,7,16,f32]>
tensor<[1,3072,7,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,7,16,f32]>
tensor<[1,3072,7,16,f32]>
tensor<[1,3072,7,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,8,bf16]>
tensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,1,bf16]>
tensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,8,1,f32]>
tensor<[1,3072,8,16,f32]>
tensor<[1,3072,8,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,8,16,f32]>
tensor<[1,3072,8,16,f32]>
tensor<[1,3072,8,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,9,bf16]>
tensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,1,bf16]>
tensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,3072,9,1,f32]>
tensor<[1,3072,9,16,f32]>
tensor<[1,3072,9,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,9,16,f32]>
tensor<[1,3072,9,16,f32]>
tensor<[1,3072,9,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,3129,f32]>
tensor<[1,3129,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3129,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,14,14,f32]>
tensor<[1,320,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,17,17,f32]>
tensor<[1,320,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,28,28,f32]>
tensor<[1,320,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,32,32,f32]>
tensor<[1,320,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,64,64,f32]>
tensor<[1,320,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,7,7,f32]>
tensor<[1,320,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,8,8,f32]>
tensor<[1,320,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,112,112,f32]>
tensor<[1,32,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,120,120,f32]>
tensor<[1,32,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,120,160,f32]>
tensor<[1,32,120,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,32,128,f32]>
tensor<[1,32,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,128,128,f32]>
tensor<[1,32,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,130,130,f32]>
tensor<[1,32,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,147,147,f32]>
tensor<[1,32,147,147,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,149,149,f32]>
tensor<[1,32,149,149,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,14,14,f32]>
tensor<[1,32,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,150,150,f32]>
tensor<[1,32,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1536,f32]>
tensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,f32]>
tensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,190,190,f32]>
tensor<[1,32,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,256,256,f32]>
tensor<[1,32,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,28,28,f32]>
tensor<[1,32,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,f32]>
tensor<[1,32,3072,f32]>
tensor<[1,32,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,30,40,f32]>
tensor<[1,32,30,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,32,128,bf16]>
tensor<[1,32,32,128,bf16]>
tensor<[1,32,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,1,f32]>
tensor<[1,32,4096,f32]>
tensor<[1,32,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,32,49,32,bf16]>
tensor<[1,32,49,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,512,512,f32]>
tensor<[1,32,512,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,56,56,f32]>
tensor<[1,32,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,60,80,f32]>
tensor<[1,32,60,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,75,75,f32]>
tensor<[1,32,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,7,7,f32]>
tensor<[1,32,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,95,95,f32]>
tensor<[1,32,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,334,1,1,f32]>
tensor<[1,334,14,14,f32]>
tensor<[1,334,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 334 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,1,1,f32]>
tensor<[1,336,112,112,f32]>
tensor<[1,336,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,1,1,f32]>
tensor<[1,336,14,14,f32]>
tensor<[1,336,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,1,1,f32]>
tensor<[1,336,24,24,f32]>
tensor<[1,336,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,1,1,f32]>
tensor<[1,336,48,48,f32]>
tensor<[1,336,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,1,1,f32]>
tensor<[1,336,56,56,f32]>
tensor<[1,336,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,34,1,1,f32]>
tensor<[1,34,28,28,f32]>
tensor<[1,34,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,352,1,1,f32]>
tensor<[1,352,14,14,f32]>
tensor<[1,352,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,352,1,1,f32]>
tensor<[1,352,28,28,f32]>
tensor<[1,352,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,352,1,1,f32]>
tensor<[1,352,9,9,f32]>
tensor<[1,352,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,1,1,f32]>
tensor<[1,36,14,14,f32]>
tensor<[1,36,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,1,1,f32]>
tensor<[1,36,28,28,f32]>
tensor<[1,36,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,1,1,f32]>
tensor<[1,36,56,56,f32]>
tensor<[1,36,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,1,1,f32]>
tensor<[1,36,7,7,f32]>
tensor<[1,36,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3712,1,1,f32]>
tensor<[1,3712,14,14,f32]>
tensor<[1,3712,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3712,1,1,f32]>
tensor<[1,3712,7,7,f32]>
tensor<[1,3712,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,10,10,f32]>
tensor<[1,384,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,14,14,f32]>
tensor<[1,384,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,17,17,f32]>
tensor<[1,384,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,28,28,f32]>
tensor<[1,384,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,7,7,f32]>
tensor<[1,384,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,8,8,f32]>
tensor<[1,384,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,3,f32]>
tensor<[1,3,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,1,bf16]>
tensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,1,bf16]>
tensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,1,bf16]>
tensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,1,bf16]>
tensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,1,bf16]>
tensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,1,bf16]>
tensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,4096,f32]>
tensor<[1,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1536,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,320,f32]>
tensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,384,f32]>
tensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,64,f32]>
tensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,1,1,f32]>
tensor<[1,40,14,14,f32]>
tensor<[1,40,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,1,1,f32]>
tensor<[1,40,28,28,f32]>
tensor<[1,40,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,1,1,f32]>
tensor<[1,40,30,30,f32]>
tensor<[1,40,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,1,1,f32]>
tensor<[1,40,40,40,f32]>
tensor<[1,40,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,1,1,f32]>
tensor<[1,40,56,56,f32]>
tensor<[1,40,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,416,1,1,f32]>
tensor<[1,416,14,14,f32]>
tensor<[1,416,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,416,1,1,f32]>
tensor<[1,416,28,28,f32]>
tensor<[1,416,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,1,1,f32]>
tensor<[1,448,12,12,f32]>
tensor<[1,448,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,1,1,f32]>
tensor<[1,448,14,14,f32]>
tensor<[1,448,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,1,1,f32]>
tensor<[1,448,28,28,f32]>
tensor<[1,448,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,1,1,f32]>
tensor<[1,448,8,8,f32]>
tensor<[1,448,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,45,1,f32]>
tensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,462,1,1,f32]>
tensor<[1,462,7,7,f32]>
tensor<[1,462,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 462 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,46,1,1,f32]>
tensor<[1,46,28,28,f32]>
tensor<[1,46,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,128,f32]>
tensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4800,1,f32]>
tensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,14,14,f32]>
tensor<[1,480,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,15,15,f32]>
tensor<[1,480,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,28,28,f32]>
tensor<[1,480,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,7,7,f32]>
tensor<[1,480,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,1,1,f32]>
tensor<[1,48,14,14,f32]>
tensor<[1,48,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,1,1,f32]>
tensor<[1,48,33,33,f32]>
tensor<[1,48,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,1,1,f32]>
tensor<[1,48,38,38,f32]>
tensor<[1,48,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,1,1,f32]>
tensor<[1,48,56,56,f32]>
tensor<[1,48,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,1,1,f32]>
tensor<[1,48,7,7,f32]>
tensor<[1,48,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,13,128,bf16]>
tensor<[1,4,13,128,bf16]>
tensor<[1,4,13,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,50,3072,bf16]>
tensor<[1,50,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,50,1,f32]>
tensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,51200,f32]>
tensor<[1,51200,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,14,14,f32]>
tensor<[1,512,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,16,16,f32]>
tensor<[1,512,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,bf16]>
tensor<[1,512,23,40,bf16]>
tensor<[1,512,23,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,bf16]>
tensor<[1,512,28,28,bf16]>
tensor<[1,512,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,28,28,f32]>
tensor<[1,512,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,32,32,f32]>
tensor<[1,512,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,bf16]>
tensor<[1,512,45,80,bf16]>
tensor<[1,512,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,56,56,f32]>
tensor<[1,512,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,5,5,f32]>
tensor<[1,512,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,7,7,f32]>
tensor<[1,512,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,8,8,f32]>
tensor<[1,512,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,bf16]>
tensor<[1,512,90,160,bf16]>
tensor<[1,512,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,528,1,1,f32]>
tensor<[1,528,17,17,f32]>
tensor<[1,528,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,544,1,1,f32]>
tensor<[1,544,14,14,f32]>
tensor<[1,544,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 544 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,1,1,f32]>
tensor<[1,56,14,14,f32]>
tensor<[1,56,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,1,1,f32]>
tensor<[1,56,48,48,f32]>
tensor<[1,56,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,128,f32]>
tensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,56,1,f32]>
tensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,576,1,1,f32]>
tensor<[1,576,14,14,f32]>
tensor<[1,576,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,576,1,1,f32]>
tensor<[1,576,19,19,f32]>
tensor<[1,576,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,576,1,1,f32]>
tensor<[1,576,7,7,f32]>
tensor<[1,576,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,58,1,1,f32]>
tensor<[1,58,28,28,f32]>
tensor<[1,58,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1024,f32]>
tensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,5,1,f32]>
tensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,5,1,32,f32]>
tensor<[1,5,16,32,f32]>
tensor<[1,5,16,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,608,1,1,f32]>
tensor<[1,608,14,14,f32]>
tensor<[1,608,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 608 + d1 + d2, d3), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,60,1,1,f32]>
tensor<[1,60,28,28,f32]>
tensor<[1,60,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,640,1,1,f32]>
tensor<[1,640,14,14,f32]>
tensor<[1,640,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,640,1,1,f32]>
tensor<[1,640,16,16,f32]>
tensor<[1,640,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,640,1,1,f32]>
tensor<[1,640,32,32,f32]>
tensor<[1,640,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,640,1,1,f32]>
tensor<[1,640,64,64,f32]>
tensor<[1,640,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,64,f32]>
tensor<[1,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,112,112,f32]>
tensor<[1,64,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,120,160,bf16]>
tensor<[1,64,120,160,bf16]>
tensor<[1,64,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (4, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,120,160,f32]>
tensor<[1,64,120,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1280,f32]>
tensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,f32]>
tensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,128,128,f32]>
tensor<[1,64,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,147,147,f32]>
tensor<[1,64,147,147,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,14,14,f32]>
tensor<[1,64,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,150,150,f32]>
tensor<[1,64,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,160,160,f32]>
tensor<[1,64,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,bf16]>
tensor<[1,64,180,320,bf16]>
tensor<[1,64,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,224,224,f32]>
tensor<[1,64,224,224,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,256,256,f32]>
tensor<[1,64,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,28,28,f32]>
tensor<[1,64,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,2,2,f32]>
tensor<[1,64,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,30,40,bf16]>
tensor<[1,64,30,40,bf16]>
tensor<[1,64,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,30,40,f32]>
tensor<[1,64,30,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,35,35,f32]>
tensor<[1,64,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,bf16]>
tensor<[1,64,360,640,bf16]>
tensor<[1,64,360,640,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,56,56,f32]>
tensor<[1,64,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,60,80,bf16]>
tensor<[1,64,60,80,bf16]>
tensor<[1,64,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,60,80,f32]>
tensor<[1,64,60,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,64,64,f32]>
tensor<[1,64,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,73,73,f32]>
tensor<[1,64,73,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,80,80,f32]>
tensor<[1,64,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,192,f32]>
tensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,65536,1,f32]>
tensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,14,14,f32]>
tensor<[1,672,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,15,15,f32]>
tensor<[1,672,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,24,24,f32]>
tensor<[1,672,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,28,28,f32]>
tensor<[1,672,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,56,56,f32]>
tensor<[1,672,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,7,7,f32]>
tensor<[1,672,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,8,8,f32]>
tensor<[1,672,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,68,1,1,f32]>
tensor<[1,68,14,14,f32]>
tensor<[1,68,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,68,1,1,f32]>
tensor<[1,68,56,56,f32]>
tensor<[1,68,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,696,1,1,f32]>
tensor<[1,696,28,28,f32]>
tensor<[1,696,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,696,1,1,f32]>
tensor<[1,696,56,56,f32]>
tensor<[1,696,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,6,1024,bf16]>
tensor<[1,6,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1024,f32]>
tensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,f32]>
tensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,f32]>
tensor<[1,6,1536,f32]>
tensor<[1,6,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,704,1,1,f32]>
tensor<[1,704,14,14,f32]>
tensor<[1,704,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 704 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,7,64,bf16]>
tensor<[1,71,7,64,bf16]>
tensor<[1,71,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,720,1,1,f32]>
tensor<[1,720,17,17,f32]>
tensor<[1,720,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,720,1,1,f32]>
tensor<[1,720,9,9,f32]>
tensor<[1,720,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,728,1,1,f32]>
tensor<[1,728,19,19,f32]>
tensor<[1,728,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,728,1,1,f32]>
tensor<[1,728,38,38,f32]>
tensor<[1,728,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,14,14,f32]>
tensor<[1,72,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,bf16]>
tensor<[1,72,28,28,bf16]>
tensor<[1,72,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,28,28,f32]>
tensor<[1,72,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,40,40,f32]>
tensor<[1,72,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,56,56,f32]>
tensor<[1,72,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,7,7,f32]>
tensor<[1,72,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,80,80,f32]>
tensor<[1,72,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,736,1,1,f32]>
tensor<[1,736,14,14,f32]>
tensor<[1,736,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 736 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,768,1,1,bf16]>
tensor<[1,768,14,14,bf16]>
tensor<[1,768,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,768,1,1,f32]>
tensor<[1,768,14,14,f32]>
tensor<[1,768,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,784,f32]>
tensor<[1,784,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,78,1,1,f32]>
tensor<[1,78,28,28,f32]>
tensor<[1,78,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,1,f32]>
tensor<[1,7,1536,f32]>
tensor<[1,7,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,7,1,f32]>
tensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,4544,f32]>
tensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,1,f32]>
tensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1024,f32]>
tensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,1,f32]>
tensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,1,f32]>
tensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,2048,f32]>
tensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,800,1,1,f32]>
tensor<[1,800,14,14,f32]>
tensor<[1,800,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,1,1,f32]>
tensor<[1,80,10,10,f32]>
tensor<[1,80,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,1,1,f32]>
tensor<[1,80,14,14,f32]>
tensor<[1,80,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,1,1,f32]>
tensor<[1,80,15,15,f32]>
tensor<[1,80,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,1,1,f32]>
tensor<[1,80,20,20,f32]>
tensor<[1,80,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,1,1,f32]>
tensor<[1,80,7,7,f32]>
tensor<[1,80,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,816,1,1,f32]>
tensor<[1,816,10,10,f32]>
tensor<[1,816,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,816,1,1,f32]>
tensor<[1,816,19,19,f32]>
tensor<[1,816,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,832,1,1,f32]>
tensor<[1,832,14,14,f32]>
tensor<[1,832,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,864,1,1,f32]>
tensor<[1,864,14,14,f32]>
tensor<[1,864,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 + d2, d3), memory_config: (27, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,88,1,1,f32]>
tensor<[1,88,17,17,f32]>
tensor<[1,88,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,896,1,1,f32]>
tensor<[1,896,14,14,f32]>
tensor<[1,896,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,896,1,1,f32]>
tensor<[1,896,7,7,f32]>
tensor<[1,896,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,112,112,f32]>
tensor<[1,8,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,f32]>
tensor<[1,8,1536,f32]>
tensor<[1,8,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,32,128,bf16]>
tensor<[1,8,32,128,bf16]>
tensor<[1,8,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,8,1,f32]>
tensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,928,1,1,f32]>
tensor<[1,928,14,14,f32]>
tensor<[1,928,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,928,1,1,f32]>
tensor<[1,928,7,7,f32]>
tensor<[1,928,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,92,1,1,f32]>
tensor<[1,92,14,14,f32]>
tensor<[1,92,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 92 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,12,12,f32]>
tensor<[1,960,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,14,14,f32]>
tensor<[1,960,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,24,24,f32]>
tensor<[1,960,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,32,32,f32]>
tensor<[1,960,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,3,3,f32]>
tensor<[1,960,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,64,64,f32]>
tensor<[1,960,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,7,7,f32]>
tensor<[1,960,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,112,112,f32]>
tensor<[1,96,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,120,120,f32]>
tensor<[1,96,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,130,130,f32]>
tensor<[1,96,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,14,14,f32]>
tensor<[1,96,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,19,19,f32]>
tensor<[1,96,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,28,28,f32]>
tensor<[1,96,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,35,35,f32]>
tensor<[1,96,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,56,56,f32]>
tensor<[1,96,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,60,60,f32]>
tensor<[1,96,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,65,65,f32]>
tensor<[1,96,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,71,71,f32]>
tensor<[1,96,71,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,73,73,f32]>
tensor<[1,96,73,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,98,1,1,f32]>
tensor<[1,98,28,28,f32]>
tensor<[1,98,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,992,1,1,f32]>
tensor<[1,992,14,14,f32]>
tensor<[1,992,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,992,1,1,f32]>
tensor<[1,992,7,7,f32]>
tensor<[1,992,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1024,f32]>
tensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,128,f32]>
tensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,1536,f32]>
tensor<[1,9,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,2048,f32]>
tensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,4096,f32]>
tensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,768,f32]>
tensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[201,3072,f32]>
tensor<[201,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[201,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[201,768,f32]>
tensor<[201,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[2048,1280,f32]>
tensor<[2048,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2048,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[2048,256,f32]>
tensor<[2048,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2048,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[2048,768,f32]>
tensor<[2048,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2048,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,f32]>
tensor<[256,f32]>
tensor<[256,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,10240,f32]>
tensor<[256,10240,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,1024,f32]>
tensor<[256,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,1280,f32]>
tensor<[256,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,1536,f32]>
tensor<[256,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,160,f32]>
tensor<[256,160,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,256,f32]>
tensor<[256,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,2,f32]>
tensor<[256,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,32,f32]>
tensor<[256,32,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,4096,f32]>
tensor<[256,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,512,f32]>
tensor<[256,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,6144,f32]>
tensor<[256,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,64,f32]>
tensor<[256,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[256,768,f32]>
tensor<[256,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[257,2304,f32]>
tensor<[257,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[257,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[257,3072,f32]>
tensor<[257,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[257,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[257,768,f32]>
tensor<[257,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[25,2,f32]>
tensor<[25,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[25,3072,f32]>
tensor<[25,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[25,768,f32]>
tensor<[25,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[27,30522,f32]>
tensor<[27,30522,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,30522,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[27,38,f32]>
tensor<[27,38,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,38,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[27,50257,f32]>
tensor<[27,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,f32]>
tensor<[2,f32]>
tensor<[2,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,13,1,f32]>
tensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[2,1,bf16]>
tensor<[2,1,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[2,1,1,13,f32]>
tensor<[2,1,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[2,7,2048,bf16]>
tensor<[2,7,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[2,7,1,f32]>
tensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,512,f32]>
tensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[300,128,f32]>
tensor<[300,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[300,2048,f32]>
tensor<[300,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[300,320,f32]>
tensor<[300,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[300,512,f32]>
tensor<[300,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[300,64,f32]>
tensor<[300,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[3136,128,f32]>
tensor<[3136,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3136,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[3136,384,f32]>
tensor<[3136,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3136,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,f32]>
tensor<[3234,f32]>
tensor<[3234,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[32,1536,f32]>
tensor<[32,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[32,4608,f32]>
tensor<[32,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[32,6144,f32]>
tensor<[32,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,f32]>
tensor<[3584,f32]>
tensor<[3584,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[36,12,144,32,f32]>
tensor<[36,12,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[36,24,144,32,f32]>
tensor<[36,24,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,f32]>
tensor<[4096,f32]>
tensor<[4096,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[4096,1536,f32]>
tensor<[4096,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[4096,2560,f32]>
tensor<[4096,2560,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[4096,256,f32]>
tensor<[4096,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[4096,3072,f32]>
tensor<[4096,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[4096,320,f32]>
tensor<[4096,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[4096,384,f32]>
tensor<[4096,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[4096,64,f32]>
tensor<[4096,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[4096,768,f32]>
tensor<[4096,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[45,3072,f32]>
tensor<[45,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[45,768,f32]>
tensor<[45,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[4800,128,f32]>
tensor<[4800,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4800,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[4800,512,f32]>
tensor<[4800,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4800,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[484,6,144,32,f32]>
tensor<[484,6,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[49,1024,f32]>
tensor<[49,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[49,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[49,3072,f32]>
tensor<[49,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[49,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,13,1,f32]>
tensor<[4,13,1024,f32]>
tensor<[4,13,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,13,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[4,16,49,32,bf16]>
tensor<[4,16,49,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1024,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,1,1,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[4,48,144,32,f32]>
tensor<[4,48,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[50,3072,f32]>
tensor<[50,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[50,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[50,768,f32]>
tensor<[50,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,f32]>
tensor<[51200,f32]>
tensor<[51200,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,f32]>
tensor<[512,f32]>
tensor<[512,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[5184,1152,f32]>
tensor<[5184,1152,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[5184,2304,f32]>
tensor<[5184,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[5184,384,f32]>
tensor<[5184,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[5184,768,f32]>
tensor<[5184,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[52,1024,f32]>
tensor<[52,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[576,1536,f32]>
tensor<[576,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[576,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[576,4608,f32]>
tensor<[576,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[576,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[5,1024,f32]>
tensor<[5,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[5,4096,f32]>
tensor<[5,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[5,51200,f32]>
tensor<[5,51200,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[64,10240,f32]>
tensor<[64,10240,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[64,1280,f32]>
tensor<[64,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[64,4,49,32,bf16]>
tensor<[64,4,49,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[65536,192,f32]>
tensor<[65536,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[65536,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[65536,768,f32]>
tensor<[65536,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[65536,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[69696,192,f32]>
tensor<[69696,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[69696,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[69696,576,f32]>
tensor<[69696,576,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[69696,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[6,1024,f32]>
tensor<[6,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[6,4096,f32]>
tensor<[6,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[768,196,f32]>
tensor<[768,196,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[768,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[784,256,f32]>
tensor<[784,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[784,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[784,768,f32]>
tensor<[784,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[784,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[7,2304,f32]>
tensor<[7,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[7,3072,f32]>
tensor<[7,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[7,768,f32]>
tensor<[7,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[8,100,32,bf16]>
tensor<[8,100,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[8,2048,f32]>
tensor<[8,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[8,920,32,bf16]>
tensor<[8,920,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,920,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,256,f32]>
tensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[920,1,1,f32]>
tensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[920,2048,f32]>
tensor<[920,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[920,256,f32]>
tensor<[920,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[9,1024,f32]>
tensor<[9,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[9,128,f32]>
tensor<[9,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[9,16384,f32]>
tensor<[9,16384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[9,2048,f32]>
tensor<[9,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[9,24,144,32,f32]>
tensor<[9,24,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[9,30000,f32]>
tensor<[9,30000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,30000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[9,3072,f32]>
tensor<[9,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[9,4096,f32]>
tensor<[9,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[9,48,144,32,f32]>
tensor<[9,48,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[9,768,f32]>
tensor<[9,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[9,8192,f32]>
tensor<[9,8192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[8,2,ui32]>
tensor<[8,2,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,10,1536,f32]>
tensor<[1,10,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,10,512,f32]>
tensor<[1,10,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,11,1536,f32]>
tensor<[1,11,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,12,1536,f32]>
tensor<[1,12,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,13,1536,f32]>
tensor<[1,13,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,13,3584,f32]>
tensor<[1,13,3584,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,14,1536,f32]>
tensor<[1,14,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,15,1536,f32]>
tensor<[1,15,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,15,512,f32]>
tensor<[1,15,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,1536,f32]>
tensor<[1,1,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,512,f32]>
tensor<[1,1,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,32,3072,f32]>
tensor<[1,32,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,32,4096,f32]>
tensor<[1,32,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,1,bf16]>
tensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,1,bf16]>
tensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,1,bf16]>
tensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[1,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,6,1536,f32]>
tensor<[1,6,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,7,1536,f32]>
tensor<[1,7,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,8,1536,f32]>
tensor<[1,8,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,9,1536,f32]>
tensor<[1,9,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[2,1,bf16]>
tensor<[2,1,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[2,512,bf16]>
tensor<[2,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,10,10,bf16]>
tensor<[1,1,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,12,12,bf16]>
tensor<[1,1,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,14,14,bf16]>
tensor<[1,1,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,16,16,bf16]>
tensor<[1,1,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,201,bf16]>
tensor<[1,1,1,201,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,2048,bf16]>
tensor<[1,1,1,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,256,256,bf16]>
tensor<[1,1,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,25,25,bf16]>
tensor<[1,1,25,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,6,6,bf16]>
tensor<[1,1,6,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,7,7,bf16]>
tensor<[1,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,9,9,bf16]>
tensor<[1,1,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[2,1,1,13,f32]>
tensor<[2,1,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[2,1,7,7,bf16]>
tensor<[2,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[4,1,1,13,f32]>
tensor<[4,1,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[16,49,1,bf16]>
tensor<[16,49,49,bf16]>
tensor<[16,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[16,1,49,bf16]>
tensor<[16,49,49,bf16]>
tensor<[16,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,100,1,1,f32]>
tensor<[1,100,14,14,f32]>
tensor<[1,100,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,10,10,f32]>
tensor<[1,1024,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,14,14,f32]>
tensor<[1,1024,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,16,16,f32]>
tensor<[1,1024,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,19,19,f32]>
tensor<[1,1024,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,28,28,f32]>
tensor<[1,1024,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,1,f32]>
tensor<[1,1024,7,7,f32]>
tensor<[1,1024,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1056,1,1,f32]>
tensor<[1,1056,14,14,f32]>
tensor<[1,1056,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1056,1,1,f32]>
tensor<[1,1056,7,7,f32]>
tensor<[1,1056,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1088,1,1,f32]>
tensor<[1,1088,14,14,f32]>
tensor<[1,1088,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1088,1,1,f32]>
tensor<[1,1088,7,7,f32]>
tensor<[1,1088,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,10,f32]>
tensor<[1,10,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,1,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1120,1,1,f32]>
tensor<[1,1120,14,14,f32]>
tensor<[1,1120,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1120,1,1,f32]>
tensor<[1,1120,7,7,f32]>
tensor<[1,1120,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,1,1,f32]>
tensor<[1,112,14,14,f32]>
tensor<[1,112,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,1,1,f32]>
tensor<[1,112,15,15,f32]>
tensor<[1,112,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,1,1,f32]>
tensor<[1,112,20,20,f32]>
tensor<[1,112,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,1,1,f32]>
tensor<[1,112,24,24,f32]>
tensor<[1,112,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,112,1,1,f32]>
tensor<[1,112,7,7,f32]>
tensor<[1,112,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1152,1,1,f32]>
tensor<[1,1152,14,14,f32]>
tensor<[1,1152,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1152,1,1,f32]>
tensor<[1,1152,7,7,f32]>
tensor<[1,1152,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1152,1,1,f32]>
tensor<[1,1152,8,8,f32]>
tensor<[1,1152,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,116,1,1,f32]>
tensor<[1,116,14,14,f32]>
tensor<[1,116,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 116 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1184,1,1,f32]>
tensor<[1,1184,14,14,f32]>
tensor<[1,1184,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1184,1,1,f32]>
tensor<[1,1184,7,7,f32]>
tensor<[1,1184,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1200,1,f32]>
tensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,f32]>
tensor<[1,120,14,14,f32]>
tensor<[1,120,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,f32]>
tensor<[1,120,17,17,f32]>
tensor<[1,120,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,f32]>
tensor<[1,120,28,28,f32]>
tensor<[1,120,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,120,1,1,f32]>
tensor<[1,120,40,40,f32]>
tensor<[1,120,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1216,1,1,f32]>
tensor<[1,1216,14,14,f32]>
tensor<[1,1216,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1216,1,1,f32]>
tensor<[1,1216,7,7,f32]>
tensor<[1,1216,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1248,1,1,f32]>
tensor<[1,1248,14,14,f32]>
tensor<[1,1248,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1248,1,1,f32]>
tensor<[1,1248,7,7,f32]>
tensor<[1,1248,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1248,1,1,f32]>
tensor<[1,1248,9,9,f32]>
tensor<[1,1248,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,10,10,f32]>
tensor<[1,1280,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,12,12,f32]>
tensor<[1,1280,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,14,14,f32]>
tensor<[1,1280,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,7,7,f32]>
tensor<[1,1280,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,8,8,f32]>
tensor<[1,1280,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.addtensor<[1,1280,1,1,f32]>
tensor<[1,1280,9,9,f32]>
tensor<[1,1280,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,112,112,f32]>
tensor<[1,128,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,128,128,f32]>
tensor<[1,128,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,14,14,f32]>
tensor<[1,128,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,150,150,f32]>
tensor<[1,128,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,17,17,f32]>
tensor<[1,128,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,28,28,f32]>
tensor<[1,128,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,2,2,f32]>
tensor<[1,128,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,32,32,f32]>
tensor<[1,128,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,3,3,f32]>
tensor<[1,128,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,56,56,f32]>
tensor<[1,128,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,5,5,f32]>
tensor<[1,128,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,64,64,f32]>
tensor<[1,128,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,75,75,f32]>
tensor<[1,128,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,128,1,1,f32]>
tensor<[1,128,7,7,f32]>
tensor<[1,128,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,1,f32]>
tensor<[1,12,56,56,f32]>
tensor<[1,12,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,f32]>
tensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1312,1,1,f32]>
tensor<[1,1312,14,14,f32]>
tensor<[1,1312,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1312,1,1,f32]>
tensor<[1,1312,7,7,f32]>
tensor<[1,1312,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1344,1,1,f32]>
tensor<[1,1344,14,14,f32]>
tensor<[1,1344,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1344,1,1,f32]>
tensor<[1,1344,28,28,f32]>
tensor<[1,1344,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1344,1,1,f32]>
tensor<[1,1344,7,7,f32]>
tensor<[1,1344,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,134,1,1,f32]>
tensor<[1,134,28,28,f32]>
tensor<[1,134,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 134 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,136,1,1,f32]>
tensor<[1,136,19,19,f32]>
tensor<[1,136,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1370,1,f32]>
tensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1376,1,1,f32]>
tensor<[1,1376,14,14,f32]>
tensor<[1,1376,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1376,1,1,f32]>
tensor<[1,1376,7,7,f32]>
tensor<[1,1376,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1392,1,1,f32]>
tensor<[1,1392,10,10,f32]>
tensor<[1,1392,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1392,1,1,f32]>
tensor<[1,1392,14,14,f32]>
tensor<[1,1392,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1392,1,1,f32]>
tensor<[1,1392,28,28,f32]>
tensor<[1,1392,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1408,1,1,f32]>
tensor<[1,1408,14,14,f32]>
tensor<[1,1408,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1408,1,1,f32]>
tensor<[1,1408,7,7,f32]>
tensor<[1,1408,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1440,1,1,f32]>
tensor<[1,1440,14,14,f32]>
tensor<[1,1440,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1440,1,1,f32]>
tensor<[1,1440,7,7,f32]>
tensor<[1,1440,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1445,1,f32]>
tensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,14,14,f32]>
tensor<[1,144,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,150,150,f32]>
tensor<[1,144,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,190,190,f32]>
tensor<[1,144,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,28,28,f32]>
tensor<[1,144,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,30,30,f32]>
tensor<[1,144,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,33,33,f32]>
tensor<[1,144,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,56,56,f32]>
tensor<[1,144,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,60,60,f32]>
tensor<[1,144,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,65,65,f32]>
tensor<[1,144,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,75,75,f32]>
tensor<[1,144,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,7,7,f32]>
tensor<[1,144,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,144,1,1,f32]>
tensor<[1,144,95,95,f32]>
tensor<[1,144,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1472,1,1,f32]>
tensor<[1,1472,14,14,f32]>
tensor<[1,1472,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1472,1,1,f32]>
tensor<[1,1472,7,7,f32]>
tensor<[1,1472,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1,f32]>
tensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,14,1,f32]>
tensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,14,1,f32]>
tensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1,1,f32]>
tensor<[1,14,56,56,f32]>
tensor<[1,14,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1,f32]>
tensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1500,1,f32]>
tensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1504,1,1,f32]>
tensor<[1,1504,14,14,f32]>
tensor<[1,1504,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1504,1,1,f32]>
tensor<[1,1504,7,7,f32]>
tensor<[1,1504,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,1,1,f32]>
tensor<[1,1536,10,10,f32]>
tensor<[1,1536,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,1,1,f32]>
tensor<[1,1536,14,14,f32]>
tensor<[1,1536,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1536,1,1,f32]>
tensor<[1,1536,7,7,f32]>
tensor<[1,1536,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1568,1,1,f32]>
tensor<[1,1568,14,14,f32]>
tensor<[1,1568,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1568,1,1,f32]>
tensor<[1,1568,7,7,f32]>
tensor<[1,1568,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1600,1,1,f32]>
tensor<[1,1600,14,14,f32]>
tensor<[1,1600,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1600,1,1,f32]>
tensor<[1,1600,7,7,f32]>
tensor<[1,1600,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,1,1,f32]>
tensor<[1,160,14,14,f32]>
tensor<[1,160,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,1,1,f32]>
tensor<[1,160,24,24,f32]>
tensor<[1,160,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,1,1,f32]>
tensor<[1,160,28,28,f32]>
tensor<[1,160,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,1,1,f32]>
tensor<[1,160,56,56,f32]>
tensor<[1,160,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,160,1,1,f32]>
tensor<[1,160,7,7,f32]>
tensor<[1,160,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1632,1,1,f32]>
tensor<[1,1632,12,12,f32]>
tensor<[1,1632,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1632,1,1,f32]>
tensor<[1,1632,14,14,f32]>
tensor<[1,1632,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1632,1,1,f32]>
tensor<[1,1632,7,7,f32]>
tensor<[1,1632,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1664,1,1,f32]>
tensor<[1,1664,14,14,f32]>
tensor<[1,1664,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1664,1,1,f32]>
tensor<[1,1664,7,7,f32]>
tensor<[1,1664,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,168,1,1,f32]>
tensor<[1,168,28,28,f32]>
tensor<[1,168,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1696,1,1,f32]>
tensor<[1,1696,14,14,f32]>
tensor<[1,1696,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1696,1,1,f32]>
tensor<[1,1696,7,7,f32]>
tensor<[1,1696,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,112,112,f32]>
tensor<[1,16,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,120,120,f32]>
tensor<[1,16,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,130,130,f32]>
tensor<[1,16,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,14,14,f32]>
tensor<[1,16,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,224,224,f32]>
tensor<[1,16,224,224,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,28,28,f32]>
tensor<[1,16,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,1,f32]>
tensor<[1,16,56,56,f32]>
tensor<[1,16,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,f32]>
tensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1728,1,1,f32]>
tensor<[1,1728,14,14,f32]>
tensor<[1,1728,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1728,1,1,f32]>
tensor<[1,1728,7,7,f32]>
tensor<[1,1728,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1760,1,1,f32]>
tensor<[1,1760,14,14,f32]>
tensor<[1,1760,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1760,1,1,f32]>
tensor<[1,1760,7,7,f32]>
tensor<[1,1760,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1792,1,1,f32]>
tensor<[1,1792,14,14,f32]>
tensor<[1,1792,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1792,1,1,f32]>
tensor<[1,1792,7,7,f32]>
tensor<[1,1792,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1824,1,1,f32]>
tensor<[1,1824,7,7,f32]>
tensor<[1,1824,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,184,1,1,f32]>
tensor<[1,184,14,14,f32]>
tensor<[1,184,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,184,1,1,f32]>
tensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,184,1,1,f32]>
tensor<[1,184,7,7,f32]>
tensor<[1,184,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1856,1,1,f32]>
tensor<[1,1856,7,7,f32]>
tensor<[1,1856,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1856 + d1 + d2, d3), memory_config: (58, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1888,1,1,f32]>
tensor<[1,1888,7,7,f32]>
tensor<[1,1888,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1888 + d1 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,1,1,f32]>
tensor<[1,18,14,14,f32]>
tensor<[1,18,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,1,1,f32]>
tensor<[1,18,28,28,f32]>
tensor<[1,18,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,1,1,f32]>
tensor<[1,18,56,56,f32]>
tensor<[1,18,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,18,1,1,f32]>
tensor<[1,18,7,7,f32]>
tensor<[1,18,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,19200,1,f32]>
tensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1920,1,1,f32]>
tensor<[1,1920,7,7,f32]>
tensor<[1,1920,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,14,14,f32]>
tensor<[1,192,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,17,17,f32]>
tensor<[1,192,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,28,28,f32]>
tensor<[1,192,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,35,35,f32]>
tensor<[1,192,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,38,38,f32]>
tensor<[1,192,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,48,48,f32]>
tensor<[1,192,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,56,56,f32]>
tensor<[1,192,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,75,75,f32]>
tensor<[1,192,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,7,7,f32]>
tensor<[1,192,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,8,8,f32]>
tensor<[1,192,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,192,1,1,f32]>
tensor<[1,192,95,95,f32]>
tensor<[1,192,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,196,1,1,f32]>
tensor<[1,196,14,14,f32]>
tensor<[1,196,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,196,1,f32]>
tensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,1,f32]>
tensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,1,f32]>
tensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,200,1,1,f32]>
tensor<[1,200,14,14,f32]>
tensor<[1,200,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,200,1,1,f32]>
tensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,200,1,1,f32]>
tensor<[1,200,7,7,f32]>
tensor<[1,200,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,201,1,f32]>
tensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,1,1,f32]>
tensor<[1,2048,10,10,f32]>
tensor<[1,2048,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,1,1,f32]>
tensor<[1,2048,14,14,f32]>
tensor<[1,2048,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,1,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,1,1,f32]>
tensor<[1,2048,7,7,f32]>
tensor<[1,2048,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,208,1,1,f32]>
tensor<[1,208,14,14,f32]>
tensor<[1,208,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,208,1,1,f32]>
tensor<[1,208,9,9,f32]>
tensor<[1,208,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,20,1,1,f32]>
tensor<[1,20,28,28,f32]>
tensor<[1,20,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,14,14,f32]>
tensor<[1,224,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,17,17,f32]>
tensor<[1,224,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,28,28,f32]>
tensor<[1,224,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,35,35,f32]>
tensor<[1,224,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,56,56,f32]>
tensor<[1,224,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,224,1,1,f32]>
tensor<[1,224,7,7,f32]>
tensor<[1,224,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,232,1,1,f32]>
tensor<[1,232,10,10,f32]>
tensor<[1,232,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,232,1,1,f32]>
tensor<[1,232,112,112,f32]>
tensor<[1,232,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,232,1,1,f32]>
tensor<[1,232,56,56,f32]>
tensor<[1,232,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,14,14,f32]>
tensor<[1,240,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,15,15,f32]>
tensor<[1,240,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,28,28,f32]>
tensor<[1,240,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,30,30,f32]>
tensor<[1,240,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,240,1,1,f32]>
tensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,112,112,f32]>
tensor<[1,24,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,14,14,f32]>
tensor<[1,24,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,150,150,f32]>
tensor<[1,24,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,190,190,f32]>
tensor<[1,24,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,28,28,f32]>
tensor<[1,24,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,56,56,f32]>
tensor<[1,24,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,60,60,f32]>
tensor<[1,24,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,65,65,f32]>
tensor<[1,24,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,24,1,1,f32]>
tensor<[1,24,80,80,f32]>
tensor<[1,24,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2520,1,1,f32]>
tensor<[1,2520,14,14,f32]>
tensor<[1,2520,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2520,1,1,f32]>
tensor<[1,2520,7,7,f32]>
tensor<[1,2520,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,10,10,f32]>
tensor<[1,256,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,128,128,f32]>
tensor<[1,256,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,14,14,f32]>
tensor<[1,256,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,16,16,f32]>
tensor<[1,256,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,17,17,f32]>
tensor<[1,256,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,28,28,f32]>
tensor<[1,256,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,2,2,f32]>
tensor<[1,256,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,32,32,f32]>
tensor<[1,256,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,38,38,f32]>
tensor<[1,256,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,3,3,f32]>
tensor<[1,256,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,56,56,f32]>
tensor<[1,256,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,5,5,f32]>
tensor<[1,256,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,64,64,f32]>
tensor<[1,256,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,75,75,f32]>
tensor<[1,256,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,7,7,f32]>
tensor<[1,256,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,1,f32]>
tensor<[1,256,8,8,f32]>
tensor<[1,256,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,257,1,f32]>
tensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,25,1,f32]>
tensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,272,1,1,f32]>
tensor<[1,272,12,12,f32]>
tensor<[1,272,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,272,1,1,f32]>
tensor<[1,272,7,7,f32]>
tensor<[1,272,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,27,1,f32]>
tensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,14,14,f32]>
tensor<[1,288,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,17,17,f32]>
tensor<[1,288,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,19,19,f32]>
tensor<[1,288,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,28,28,f32]>
tensor<[1,288,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,33,33,f32]>
tensor<[1,288,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,288,1,1,f32]>
tensor<[1,288,38,38,f32]>
tensor<[1,288,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,28,1,f32]>
tensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,1,1,f32]>
tensor<[1,28,28,28,f32]>
tensor<[1,28,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,28,1,f32]>
tensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,14,14,f32]>
tensor<[1,320,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,17,17,f32]>
tensor<[1,320,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,28,28,f32]>
tensor<[1,320,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,7,7,f32]>
tensor<[1,320,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,320,1,1,f32]>
tensor<[1,320,8,8,f32]>
tensor<[1,320,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,112,112,f32]>
tensor<[1,32,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,120,120,f32]>
tensor<[1,32,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,120,160,f32]>
tensor<[1,32,120,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,128,128,f32]>
tensor<[1,32,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,130,130,f32]>
tensor<[1,32,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,147,147,f32]>
tensor<[1,32,147,147,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,149,149,f32]>
tensor<[1,32,149,149,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,14,14,f32]>
tensor<[1,32,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,150,150,f32]>
tensor<[1,32,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,f32]>
tensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,190,190,f32]>
tensor<[1,32,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,256,256,f32]>
tensor<[1,32,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,28,28,f32]>
tensor<[1,32,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,30,40,f32]>
tensor<[1,32,30,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,512,512,f32]>
tensor<[1,32,512,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,56,56,f32]>
tensor<[1,32,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,60,80,f32]>
tensor<[1,32,60,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,75,75,f32]>
tensor<[1,32,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,7,7,f32]>
tensor<[1,32,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,95,95,f32]>
tensor<[1,32,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,334,1,1,f32]>
tensor<[1,334,14,14,f32]>
tensor<[1,334,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 334 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,1,1,f32]>
tensor<[1,336,112,112,f32]>
tensor<[1,336,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,1,1,f32]>
tensor<[1,336,14,14,f32]>
tensor<[1,336,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,1,1,f32]>
tensor<[1,336,24,24,f32]>
tensor<[1,336,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,1,1,f32]>
tensor<[1,336,48,48,f32]>
tensor<[1,336,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,336,1,1,f32]>
tensor<[1,336,56,56,f32]>
tensor<[1,336,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,34,1,1,f32]>
tensor<[1,34,28,28,f32]>
tensor<[1,34,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,352,1,1,f32]>
tensor<[1,352,14,14,f32]>
tensor<[1,352,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,352,1,1,f32]>
tensor<[1,352,28,28,f32]>
tensor<[1,352,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,352,1,1,f32]>
tensor<[1,352,9,9,f32]>
tensor<[1,352,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,1,1,f32]>
tensor<[1,36,14,14,f32]>
tensor<[1,36,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,1,1,f32]>
tensor<[1,36,28,28,f32]>
tensor<[1,36,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,1,1,f32]>
tensor<[1,36,56,56,f32]>
tensor<[1,36,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,36,1,1,f32]>
tensor<[1,36,7,7,f32]>
tensor<[1,36,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3712,1,1,f32]>
tensor<[1,3712,14,14,f32]>
tensor<[1,3712,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,3712,1,1,f32]>
tensor<[1,3712,7,7,f32]>
tensor<[1,3712,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,10,10,f32]>
tensor<[1,384,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,14,14,f32]>
tensor<[1,384,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,17,17,f32]>
tensor<[1,384,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,28,28,f32]>
tensor<[1,384,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,7,7,f32]>
tensor<[1,384,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,384,1,1,f32]>
tensor<[1,384,8,8,f32]>
tensor<[1,384,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,1,1,f32]>
tensor<[1,40,14,14,f32]>
tensor<[1,40,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,1,1,f32]>
tensor<[1,40,28,28,f32]>
tensor<[1,40,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,1,1,f32]>
tensor<[1,40,30,30,f32]>
tensor<[1,40,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,1,1,f32]>
tensor<[1,40,40,40,f32]>
tensor<[1,40,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,40,1,1,f32]>
tensor<[1,40,56,56,f32]>
tensor<[1,40,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,416,1,1,f32]>
tensor<[1,416,14,14,f32]>
tensor<[1,416,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,416,1,1,f32]>
tensor<[1,416,28,28,f32]>
tensor<[1,416,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,1,1,f32]>
tensor<[1,448,12,12,f32]>
tensor<[1,448,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,1,1,f32]>
tensor<[1,448,14,14,f32]>
tensor<[1,448,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,1,1,f32]>
tensor<[1,448,28,28,f32]>
tensor<[1,448,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,448,1,1,f32]>
tensor<[1,448,8,8,f32]>
tensor<[1,448,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,45,1,f32]>
tensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,462,1,1,f32]>
tensor<[1,462,7,7,f32]>
tensor<[1,462,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 462 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,46,1,1,f32]>
tensor<[1,46,28,28,f32]>
tensor<[1,46,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4800,1,f32]>
tensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,14,14,f32]>
tensor<[1,480,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,15,15,f32]>
tensor<[1,480,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,28,28,f32]>
tensor<[1,480,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,480,1,1,f32]>
tensor<[1,480,7,7,f32]>
tensor<[1,480,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,1,1,f32]>
tensor<[1,48,14,14,f32]>
tensor<[1,48,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,1,1,f32]>
tensor<[1,48,33,33,f32]>
tensor<[1,48,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,1,1,f32]>
tensor<[1,48,38,38,f32]>
tensor<[1,48,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,1,1,f32]>
tensor<[1,48,56,56,f32]>
tensor<[1,48,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,48,1,1,f32]>
tensor<[1,48,7,7,f32]>
tensor<[1,48,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,50,1,f32]>
tensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,14,14,f32]>
tensor<[1,512,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,16,16,f32]>
tensor<[1,512,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,28,28,f32]>
tensor<[1,512,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,32,32,f32]>
tensor<[1,512,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,56,56,f32]>
tensor<[1,512,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,5,5,f32]>
tensor<[1,512,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,7,7,f32]>
tensor<[1,512,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,512,1,1,f32]>
tensor<[1,512,8,8,f32]>
tensor<[1,512,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,528,1,1,f32]>
tensor<[1,528,17,17,f32]>
tensor<[1,528,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,544,1,1,f32]>
tensor<[1,544,14,14,f32]>
tensor<[1,544,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 544 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,1,1,f32]>
tensor<[1,56,14,14,f32]>
tensor<[1,56,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,1,1,f32]>
tensor<[1,56,48,48,f32]>
tensor<[1,56,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,56,1,f32]>
tensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,576,1,1,f32]>
tensor<[1,576,14,14,f32]>
tensor<[1,576,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,576,1,1,f32]>
tensor<[1,576,19,19,f32]>
tensor<[1,576,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,576,1,1,f32]>
tensor<[1,576,7,7,f32]>
tensor<[1,576,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,58,1,1,f32]>
tensor<[1,58,28,28,f32]>
tensor<[1,58,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,5,1,f32]>
tensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,608,1,1,f32]>
tensor<[1,608,14,14,f32]>
tensor<[1,608,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 608 + d1 + d2, d3), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,60,1,1,f32]>
tensor<[1,60,28,28,f32]>
tensor<[1,60,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,640,1,1,f32]>
tensor<[1,640,14,14,f32]>
tensor<[1,640,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,112,112,f32]>
tensor<[1,64,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,120,160,f32]>
tensor<[1,64,120,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,f32]>
tensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,128,128,f32]>
tensor<[1,64,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,147,147,f32]>
tensor<[1,64,147,147,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,14,14,f32]>
tensor<[1,64,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,150,150,f32]>
tensor<[1,64,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,160,160,f32]>
tensor<[1,64,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,224,224,f32]>
tensor<[1,64,224,224,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,256,256,f32]>
tensor<[1,64,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,28,28,f32]>
tensor<[1,64,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,2,2,f32]>
tensor<[1,64,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,30,40,f32]>
tensor<[1,64,30,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,35,35,f32]>
tensor<[1,64,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,56,56,f32]>
tensor<[1,64,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,60,80,f32]>
tensor<[1,64,60,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,64,64,f32]>
tensor<[1,64,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,73,73,f32]>
tensor<[1,64,73,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,1,f32]>
tensor<[1,64,80,80,f32]>
tensor<[1,64,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,65536,1,f32]>
tensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,14,14,f32]>
tensor<[1,672,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,15,15,f32]>
tensor<[1,672,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,24,24,f32]>
tensor<[1,672,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,28,28,f32]>
tensor<[1,672,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,56,56,f32]>
tensor<[1,672,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,7,7,f32]>
tensor<[1,672,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,672,1,1,f32]>
tensor<[1,672,8,8,f32]>
tensor<[1,672,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,68,1,1,f32]>
tensor<[1,68,14,14,f32]>
tensor<[1,68,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,68,1,1,f32]>
tensor<[1,68,56,56,f32]>
tensor<[1,68,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,696,1,1,f32]>
tensor<[1,696,28,28,f32]>
tensor<[1,696,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,696,1,1,f32]>
tensor<[1,696,56,56,f32]>
tensor<[1,696,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,f32]>
tensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,704,1,1,f32]>
tensor<[1,704,14,14,f32]>
tensor<[1,704,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 704 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,720,1,1,f32]>
tensor<[1,720,17,17,f32]>
tensor<[1,720,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,720,1,1,f32]>
tensor<[1,720,9,9,f32]>
tensor<[1,720,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,728,1,1,f32]>
tensor<[1,728,19,19,f32]>
tensor<[1,728,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,728,1,1,f32]>
tensor<[1,728,38,38,f32]>
tensor<[1,728,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,14,14,f32]>
tensor<[1,72,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,28,28,f32]>
tensor<[1,72,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,40,40,f32]>
tensor<[1,72,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,56,56,f32]>
tensor<[1,72,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,7,7,f32]>
tensor<[1,72,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,72,1,1,f32]>
tensor<[1,72,80,80,f32]>
tensor<[1,72,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,736,1,1,f32]>
tensor<[1,736,14,14,f32]>
tensor<[1,736,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 736 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,768,1,1,f32]>
tensor<[1,768,14,14,f32]>
tensor<[1,768,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,78,1,1,f32]>
tensor<[1,78,28,28,f32]>
tensor<[1,78,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,1,f32]>
tensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,1,f32]>
tensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,1,f32]>
tensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,1,f32]>
tensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,800,1,1,f32]>
tensor<[1,800,14,14,f32]>
tensor<[1,800,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,1,1,f32]>
tensor<[1,80,10,10,f32]>
tensor<[1,80,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,1,1,f32]>
tensor<[1,80,14,14,f32]>
tensor<[1,80,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,1,1,f32]>
tensor<[1,80,15,15,f32]>
tensor<[1,80,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,1,1,f32]>
tensor<[1,80,20,20,f32]>
tensor<[1,80,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,80,1,1,f32]>
tensor<[1,80,7,7,f32]>
tensor<[1,80,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,816,1,1,f32]>
tensor<[1,816,10,10,f32]>
tensor<[1,816,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,816,1,1,f32]>
tensor<[1,816,19,19,f32]>
tensor<[1,816,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,832,1,1,f32]>
tensor<[1,832,14,14,f32]>
tensor<[1,832,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,864,1,1,f32]>
tensor<[1,864,14,14,f32]>
tensor<[1,864,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 + d2, d3), memory_config: (27, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,88,1,1,f32]>
tensor<[1,88,17,17,f32]>
tensor<[1,88,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,896,1,1,f32]>
tensor<[1,896,14,14,f32]>
tensor<[1,896,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,896,1,1,f32]>
tensor<[1,896,7,7,f32]>
tensor<[1,896,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,1,f32]>
tensor<[1,8,112,112,f32]>
tensor<[1,8,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,f32]>
tensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,928,1,1,f32]>
tensor<[1,928,14,14,f32]>
tensor<[1,928,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,928,1,1,f32]>
tensor<[1,928,7,7,f32]>
tensor<[1,928,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,92,1,1,f32]>
tensor<[1,92,14,14,f32]>
tensor<[1,92,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 92 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,12,12,f32]>
tensor<[1,960,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,14,14,f32]>
tensor<[1,960,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,24,24,f32]>
tensor<[1,960,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,3,3,f32]>
tensor<[1,960,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,960,1,1,f32]>
tensor<[1,960,7,7,f32]>
tensor<[1,960,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,112,112,f32]>
tensor<[1,96,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,120,120,f32]>
tensor<[1,96,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,130,130,f32]>
tensor<[1,96,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,14,14,f32]>
tensor<[1,96,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,19,19,f32]>
tensor<[1,96,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,28,28,f32]>
tensor<[1,96,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,35,35,f32]>
tensor<[1,96,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,56,56,f32]>
tensor<[1,96,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,60,60,f32]>
tensor<[1,96,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,65,65,f32]>
tensor<[1,96,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,71,71,f32]>
tensor<[1,96,71,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,96,1,1,f32]>
tensor<[1,96,73,73,f32]>
tensor<[1,96,73,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,98,1,1,f32]>
tensor<[1,98,28,28,f32]>
tensor<[1,98,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,992,1,1,f32]>
tensor<[1,992,14,14,f32]>
tensor<[1,992,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,992,1,1,f32]>
tensor<[1,992,7,7,f32]>
tensor<[1,992,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,7,1,f32]>
tensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[3,1,1,f32]>
tensor<[3,320,320,f32]>
tensor<[3,320,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,1,1,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,49,1,bf16]>
tensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[4,1,49,bf16]>
tensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[64,49,1,bf16]>
tensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[64,1,49,bf16]>
tensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[920,1,1,f32]>
tensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[5,ui32]>
tensor<[5,ui32]>
tensor<[5,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[5,1,ui32]>
tensor<[5,1,ui32]>
tensor<[5,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,5,ui32]>
tensor<[5,5,ui32]>
tensor<[5,5,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[5,1,ui32]>
tensor<[5,5,ui32]>
tensor<[5,5,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,bf16]>
tensor<[5,5,bf16]>
tensor<[5,5,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1024,1,f32]>
tensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,10,1,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1200,1,f32]>
tensor<[1,1200,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1200,1,f32]>
tensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,12,1,f32]>
tensor<[1,12,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,12,1,f32]>
tensor<[1,12,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,12,1,f32]>
tensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1370,1,f32]>
tensor<[1,1370,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1370,1,f32]>
tensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1445,1,f32]>
tensor<[1,1445,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1445,1,f32]>
tensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,14,1,f32]>
tensor<[1,14,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1,f32]>
tensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,14,14,1,f32]>
tensor<[1,14,14,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,14,1,f32]>
tensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,14,14,1,f32]>
tensor<[1,14,14,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,14,1,f32]>
tensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,14,1,f32]>
tensor<[1,14,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,14,1,f32]>
tensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1500,1,f32]>
tensor<[1,1500,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1500,1,f32]>
tensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16384,1,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,16,1,f32]>
tensor<[1,16,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,16,1,f32]>
tensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,19200,1,f32]>
tensor<[1,19200,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,19200,1,f32]>
tensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,196,1,f32]>
tensor<[1,196,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,196,1,f32]>
tensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,197,1,f32]>
tensor<[1,197,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,1,f32]>
tensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,197,1,f32]>
tensor<[1,197,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,197,1,f32]>
tensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,201,1,f32]>
tensor<[1,201,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,201,1,f32]>
tensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,2048,1,f32]>
tensor<[1,2048,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,2048,1,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,256,1,f32]>
tensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,257,1,f32]>
tensor<[1,257,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,257,1,f32]>
tensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,25,1,f32]>
tensor<[1,25,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,25,1,f32]>
tensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,27,1,f32]>
tensor<[1,27,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,27,1,f32]>
tensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,28,28,1,f32]>
tensor<[1,28,28,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,28,1,f32]>
tensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,28,28,1,f32]>
tensor<[1,28,28,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,28,28,1,f32]>
tensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,300,1,f32]>
tensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,32,1,f32]>
tensor<[1,32,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,f32]>
tensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,32,1,1,f32]>
tensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4096,1,f32]>
tensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,45,1,f32]>
tensor<[1,45,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,45,1,f32]>
tensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,4800,1,f32]>
tensor<[1,4800,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,4800,1,f32]>
tensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,50,1,f32]>
tensor<[1,50,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,50,1,f32]>
tensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,56,56,1,f32]>
tensor<[1,56,56,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,56,56,1,f32]>
tensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,5,1,f32]>
tensor<[1,5,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,5,1,f32]>
tensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,64,1,f32]>
tensor<[1,64,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,64,1,f32]>
tensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,65536,1,f32]>
tensor<[1,65536,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,65536,1,f32]>
tensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,6,1,f32]>
tensor<[1,6,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,6,1,f32]>
tensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,7,1,f32]>
tensor<[1,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,1,f32]>
tensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,7,1,f32]>
tensor<[1,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,1,f32]>
tensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,7,7,1,f32]>
tensor<[1,7,7,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,1,f32]>
tensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,7,7,1,f32]>
tensor<[1,7,7,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,7,7,1,f32]>
tensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,8,1,f32]>
tensor<[1,8,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,8,1,f32]>
tensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.addtensor<[1,9,1,f32]>
tensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[2,7,1,f32]>
tensor<[2,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[2,7,1,f32]>
tensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[4,1,1,f32]>
tensor<[4,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[4,1,1,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[920,1,1,f32]>
tensor<[920,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[920,1,1,f32]>
tensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[16,49,49,bf16]>
tensor<[16,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,11,ui32]>
tensor<[1,11,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,12,ui32]>
tensor<[1,12,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,13,ui32]>
tensor<[1,13,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,14,ui32]>
tensor<[1,14,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,15,ui32]>
tensor<[1,15,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,16,ui32]>
tensor<[1,16,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,17,ui32]>
tensor<[1,17,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,18,ui32]>
tensor<[1,18,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,19,ui32]>
tensor<[1,19,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,10,10,bf16]>
tensor<[1,1,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,12,12,bf16]>
tensor<[1,1,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,13,13,bf16]>
tensor<[1,1,13,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,14,14,bf16]>
tensor<[1,1,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,16,16,bf16]>
tensor<[1,1,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,46,f32]>
tensor<[1,12,1,46,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,46,bf16]>
tensor<[1,1,1,46,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,47,f32]>
tensor<[1,12,1,47,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,47,bf16]>
tensor<[1,1,1,47,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,48,f32]>
tensor<[1,12,1,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,48,bf16]>
tensor<[1,1,1,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,49,f32]>
tensor<[1,12,1,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,49,bf16]>
tensor<[1,1,1,49,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,50,f32]>
tensor<[1,12,1,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,50,bf16]>
tensor<[1,1,1,50,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,51,f32]>
tensor<[1,12,1,51,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,51,bf16]>
tensor<[1,1,1,51,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,52,f32]>
tensor<[1,12,1,52,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,52,bf16]>
tensor<[1,1,1,52,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,53,f32]>
tensor<[1,12,1,53,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,53,bf16]>
tensor<[1,1,1,53,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,54,f32]>
tensor<[1,12,1,54,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,54,bf16]>
tensor<[1,1,1,54,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,55,f32]>
tensor<[1,12,1,55,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,55,bf16]>
tensor<[1,1,1,55,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,56,f32]>
tensor<[1,12,1,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,56,bf16]>
tensor<[1,1,1,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,57,f32]>
tensor<[1,12,1,57,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,57,bf16]>
tensor<[1,1,1,57,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,58,f32]>
tensor<[1,12,1,58,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,58,bf16]>
tensor<[1,1,1,58,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,59,f32]>
tensor<[1,12,1,59,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,59,bf16]>
tensor<[1,1,1,59,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,60,f32]>
tensor<[1,12,1,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,60,bf16]>
tensor<[1,1,1,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,61,f32]>
tensor<[1,12,1,61,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,61,bf16]>
tensor<[1,1,1,61,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,62,f32]>
tensor<[1,12,1,62,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,62,bf16]>
tensor<[1,1,1,62,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,63,f32]>
tensor<[1,12,1,63,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,63,bf16]>
tensor<[1,1,1,63,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,64,f32]>
tensor<[1,12,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,64,bf16]>
tensor<[1,1,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,65,f32]>
tensor<[1,12,1,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,65,bf16]>
tensor<[1,1,1,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,66,f32]>
tensor<[1,12,1,66,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,66,bf16]>
tensor<[1,1,1,66,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,67,f32]>
tensor<[1,12,1,67,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,67,bf16]>
tensor<[1,1,1,67,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,68,f32]>
tensor<[1,12,1,68,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,68,bf16]>
tensor<[1,1,1,68,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,69,f32]>
tensor<[1,12,1,69,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,69,bf16]>
tensor<[1,1,1,69,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,6,bf16]>
tensor<[1,1,1,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,70,f32]>
tensor<[1,12,1,70,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,70,bf16]>
tensor<[1,1,1,70,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,71,f32]>
tensor<[1,12,1,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,71,bf16]>
tensor<[1,1,1,71,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,72,f32]>
tensor<[1,12,1,72,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,72,bf16]>
tensor<[1,1,1,72,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,73,f32]>
tensor<[1,12,1,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,73,bf16]>
tensor<[1,1,1,73,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,74,f32]>
tensor<[1,12,1,74,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,74,bf16]>
tensor<[1,1,1,74,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,75,f32]>
tensor<[1,12,1,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,75,bf16]>
tensor<[1,1,1,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,76,f32]>
tensor<[1,12,1,76,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,76,bf16]>
tensor<[1,1,1,76,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,77,f32]>
tensor<[1,12,1,77,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,77,bf16]>
tensor<[1,1,1,77,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,78,f32]>
tensor<[1,12,1,78,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,78,bf16]>
tensor<[1,1,1,78,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,79,f32]>
tensor<[1,12,1,79,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,79,bf16]>
tensor<[1,1,1,79,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,80,f32]>
tensor<[1,12,1,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,80,bf16]>
tensor<[1,1,1,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,81,f32]>
tensor<[1,12,1,81,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,81,bf16]>
tensor<[1,1,1,81,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,82,f32]>
tensor<[1,12,1,82,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,82,bf16]>
tensor<[1,1,1,82,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,83,f32]>
tensor<[1,12,1,83,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,83,bf16]>
tensor<[1,1,1,83,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,84,f32]>
tensor<[1,12,1,84,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,84,bf16]>
tensor<[1,1,1,84,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,85,f32]>
tensor<[1,12,1,85,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,85,bf16]>
tensor<[1,1,1,85,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,86,f32]>
tensor<[1,12,1,86,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,86,bf16]>
tensor<[1,1,1,86,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,87,f32]>
tensor<[1,12,1,87,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,87,bf16]>
tensor<[1,1,1,87,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,88,f32]>
tensor<[1,12,1,88,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,88,bf16]>
tensor<[1,1,1,88,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,89,f32]>
tensor<[1,12,1,89,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,89,bf16]>
tensor<[1,1,1,89,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,90,f32]>
tensor<[1,12,1,90,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,90,bf16]>
tensor<[1,1,1,90,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,91,f32]>
tensor<[1,12,1,91,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,91,bf16]>
tensor<[1,1,1,91,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,92,f32]>
tensor<[1,12,1,92,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,92,bf16]>
tensor<[1,1,1,92,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,93,f32]>
tensor<[1,12,1,93,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,93,bf16]>
tensor<[1,1,1,93,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,94,f32]>
tensor<[1,12,1,94,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,94,bf16]>
tensor<[1,1,1,94,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,95,f32]>
tensor<[1,12,1,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,95,bf16]>
tensor<[1,1,1,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,96,f32]>
tensor<[1,12,1,96,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,96,bf16]>
tensor<[1,1,1,96,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,97,f32]>
tensor<[1,12,1,97,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,97,bf16]>
tensor<[1,1,1,97,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,98,f32]>
tensor<[1,12,1,98,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,98,bf16]>
tensor<[1,1,1,98,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,1,99,f32]>
tensor<[1,12,1,99,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,99,bf16]>
tensor<[1,1,1,99,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,256,256,bf16]>
tensor<[1,1,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,25,25,bf16]>
tensor<[1,1,25,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,32,32,bf16]>
tensor<[1,1,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[1,12,45,45,f32]>
tensor<[1,12,45,45,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,45,45,bf16]>
tensor<[1,1,45,45,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,5,5,bf16]>
tensor<[1,1,5,5,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,6,6,bf16]>
tensor<[1,1,6,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,7,7,bf16]>
tensor<[1,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[1,1,9,9,bf16]>
tensor<[1,1,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,20,ui32]>
tensor<[1,20,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,21,ui32]>
tensor<[1,21,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,22,ui32]>
tensor<[1,22,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,23,ui32]>
tensor<[1,23,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,24,ui32]>
tensor<[1,24,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,25,ui32]>
tensor<[1,25,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,26,ui32]>
tensor<[1,26,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,27,ui32]>
tensor<[1,27,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,28,ui32]>
tensor<[1,28,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,29,ui32]>
tensor<[1,29,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[1,50257,f32]>
tensor<[1,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,5,ui32]>
tensor<[1,5,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,6,ui32]>
tensor<[1,6,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,7,ui32]>
tensor<[1,7,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,8,ui32]>
tensor<[1,8,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,ui32]>
tensor<[1,9,ui32]>
tensor<[1,9,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,bf16]>
tensor<[2,1,7,7,bf16]>
tensor<[2,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,1,f32]>
tensor<[4,1,1,13,f32]>
tensor<[4,1,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,1,bf16]>
tensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[6,6,f32]>
tensor<[6,6,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,f32]>
tensor<[8,2048,f32]>
tensor<[8,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.addtensor<[1,1,1,f32]>
tensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan

ttnn.arange

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 11 : i64
memory_config: #ttnn.memory_config<#dram, <<1x11>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,11,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 12 : i64
memory_config: #ttnn.memory_config<#dram, <<1x12>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 13 : i64
memory_config: #ttnn.memory_config<#dram, <<1x13>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 13, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 14 : i64
memory_config: #ttnn.memory_config<#dram, <<1x14>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 14, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 15 : i64
memory_config: #ttnn.memory_config<#dram, <<1x15>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,15,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 15, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 16 : i64
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 17 : i64
memory_config: #ttnn.memory_config<#dram, <<1x17>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,17,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 17, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 18 : i64
memory_config: #ttnn.memory_config<#dram, <<1x18>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,18,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 18, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 19 : i64
memory_config: #ttnn.memory_config<#dram, <<1x19>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,19,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 19, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 20 : i64
memory_config: #ttnn.memory_config<#dram, <<1x20>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,20,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 20, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 21 : i64
memory_config: #ttnn.memory_config<#dram, <<1x21>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,21,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 21, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 22 : i64
memory_config: #ttnn.memory_config<#dram, <<1x22>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,22,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 23 : i64
memory_config: #ttnn.memory_config<#dram, <<1x23>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,23,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 23, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 24 : i64
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,24,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 25 : i64
memory_config: #ttnn.memory_config<#dram, <<1x25>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 25, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 26 : i64
memory_config: #ttnn.memory_config<#dram, <<1x26>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,26,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 26, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 27 : i64
memory_config: #ttnn.memory_config<#dram, <<1x27>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,27,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 27, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 28 : i64
memory_config: #ttnn.memory_config<#dram, <<1x28>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,28,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 28, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 29 : i64
memory_config: #ttnn.memory_config<#dram, <<1x29>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,29,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 29, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 32 : i64
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 5 : i64
memory_config: #ttnn.memory_config<#dram, <<1x5>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 6 : i64
memory_config: #ttnn.memory_config<#dram, <<1x6>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 7 : i64
memory_config: #ttnn.memory_config<#dram, <<1x7>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 8 : i64
memory_config: #ttnn.memory_config<#dram, <<1x8>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,8,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 9 : i64
memory_config: #ttnn.memory_config<#dram, <<1x9>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 9, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 32 : i64
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'ui32', 'dram')nannan
ttnn.arange!tt.device<#device>dtype: #tt.supportedDataTypes
end: 5 : i64
memory_config: #ttnn.memory_config<#dram, <<1x5>>, >
start: 0 : i64
step: 1 : i64
tensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 5, 'ui32', 'dram')nannan

ttnn.clamp

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.clamptensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')max: 4.000000e+00 : f32
min: -4.000000e+00 : f32
tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.clamptensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')max: 1.000000e+00 : f32
min: -1.000000e+00 : f32
tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan

ttnn.concat

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.concattensor<[1,1,1280,bf16]>
tensor<[1,1369,1280,bf16]>
tensor<[1,1370,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1369 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,1,16,32,f32]>
tensor<[1,1,16,32,f32]>
tensor<[1,1,16,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
dim: 3 : si32tensor<[1,1,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,1,192,bf16]>
tensor<[1,1344,192,bf16]>
tensor<[1,100,192,bf16]>
tensor<[1,1445,192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1344 + d1, d2), memory_config: (42, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
tensor<[1,3,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,1,64,f32]>
tensor<[1,1,64,f32]>
tensor<[1,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,1,7,32,bf16]>
tensor<[1,1,7,32,bf16]>
tensor<[1,1,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,1,768,bf16]>
tensor<[1,196,768,bf16]>
tensor<[1,197,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,1,768,bf16]>
tensor<[1,256,768,bf16]>
tensor<[1,257,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,1,768,bf16]>
tensor<[1,49,768,bf16]>
tensor<[1,50,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,100,14,14,bf16]>
tensor<[1,100,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,10,ui32]>
tensor<[1,1,ui32]>
tensor<[1,11,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,112,14,14,bf16]>
tensor<[1,288,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
tensor<[1,528,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 14 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,528,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 14 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,11,ui32]>
tensor<[1,1,ui32]>
tensor<[1,12,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,12,1,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,1,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,1,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,2,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,10,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,11,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 132 + d1 * 11 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 132 + d1 * 11 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,11,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,12,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 132 + d1 * 11 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,12,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,12,64,bf16]>
tensor<[1,12,12,64,bf16]>
tensor<[1,12,12,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,13,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,14,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,14,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,15,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,15,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,16,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,16,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,17,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,17,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,18,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,18,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,19,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,19,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,20,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 20 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 20 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,2,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,3,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,3,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,4,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,4,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,5,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,45,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,46,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 552 + d1 * 46 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,46,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 552 + d1 * 46 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,46,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,47,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 552 + d1 * 46 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 564 + d1 * 47 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,47,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 564 + d1 * 47 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,47,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,48,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 564 + d1 * 47 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 48 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,48,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 48 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,48,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,49,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 48 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 588 + d1 * 49 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,49,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 588 + d1 * 49 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,49,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,50,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 588 + d1 * 49 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,50,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,5,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,6,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,50,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,51,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 612 + d1 * 51 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,51,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 612 + d1 * 51 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,51,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,52,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 612 + d1 * 51 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 624 + d1 * 52 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,52,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 624 + d1 * 52 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,52,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,53,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 624 + d1 * 52 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 636 + d1 * 53 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,53,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 636 + d1 * 53 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,53,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,54,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 636 + d1 * 53 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 648 + d1 * 54 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,54,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 648 + d1 * 54 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,54,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,55,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 648 + d1 * 54 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 660 + d1 * 55 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,55,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 660 + d1 * 55 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,55,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,56,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 660 + d1 * 55 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,56,56,bf16]>
tensor<[1,12,56,56,bf16]>
tensor<[1,24,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,56,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,57,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 684 + d1 * 57 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,57,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 684 + d1 * 57 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,57,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,58,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 684 + d1 * 57 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 58 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,58,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 58 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,58,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,59,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 58 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 708 + d1 * 59 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,59,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 708 + d1 * 59 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,59,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,60,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 708 + d1 * 59 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 * 60 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,60,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 * 60 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,6,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,60,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,61,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 * 60 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 732 + d1 * 61 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,61,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 732 + d1 * 61 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,61,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,62,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 732 + d1 * 61 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 744 + d1 * 62 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,62,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 744 + d1 * 62 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,62,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,63,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 744 + d1 * 62 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 756 + d1 * 63 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,63,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 756 + d1 * 63 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,63,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 756 + d1 * 63 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,64,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,65,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 780 + d1 * 65 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,65,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 780 + d1 * 65 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,64,f32]>
tensor<[1,12,64,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,12,65,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,66,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 780 + d1 * 65 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 66 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,66,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 66 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,66,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,67,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 66 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 804 + d1 * 67 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,67,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 804 + d1 * 67 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,67,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,68,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 804 + d1 * 67 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 * 68 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,68,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 * 68 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,68,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,69,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 * 68 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 828 + d1 * 69 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,69,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 828 + d1 * 69 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,69,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,70,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 828 + d1 * 69 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 840 + d1 * 70 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,70,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 840 + d1 * 70 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,7,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,8,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,70,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,71,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 840 + d1 * 70 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 852 + d1 * 71 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,71,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 852 + d1 * 71 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,71,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,72,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 852 + d1 * 71 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 72 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,72,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 72 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,72,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,73,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 72 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 876 + d1 * 73 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 876 + d1 * 73 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,73,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,74,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 876 + d1 * 73 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 888 + d1 * 74 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,74,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 888 + d1 * 74 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,74,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,75,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 888 + d1 * 74 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 75 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,75,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 75 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,75,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,76,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 75 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 912 + d1 * 76 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,76,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 912 + d1 * 76 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,76,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,77,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 912 + d1 * 76 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 924 + d1 * 77 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,77,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 924 + d1 * 77 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,77,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,78,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 924 + d1 * 77 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 936 + d1 * 78 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,78,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 936 + d1 * 78 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,78,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,79,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 936 + d1 * 78 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 948 + d1 * 79 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,79,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 948 + d1 * 79 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,79,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,80,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 948 + d1 * 79 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 80 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 80 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,8,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,9,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,80,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,81,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 80 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 972 + d1 * 81 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,81,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 972 + d1 * 81 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,81,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,82,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 972 + d1 * 81 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 984 + d1 * 82 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,82,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 984 + d1 * 82 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,82,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,83,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 984 + d1 * 82 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 996 + d1 * 83 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,83,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 996 + d1 * 83 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,83,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,84,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 996 + d1 * 83 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 84 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,84,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 84 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,84,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,85,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 84 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1020 + d1 * 85 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,85,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1020 + d1 * 85 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,85,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,86,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1020 + d1 * 85 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1032 + d1 * 86 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,86,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1032 + d1 * 86 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,86,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,87,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1032 + d1 * 86 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1044 + d1 * 87 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,87,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1044 + d1 * 87 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,87,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,88,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1044 + d1 * 87 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 * 88 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,88,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 * 88 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,88,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,89,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 * 88 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1068 + d1 * 89 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,89,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1068 + d1 * 89 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,89,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,90,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1068 + d1 * 89 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 90 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,90,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 90 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,9,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,10,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,90,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,91,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 90 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 91 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,91,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 91 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,91,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,92,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 91 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1104 + d1 * 92 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,92,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1104 + d1 * 92 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,92,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,93,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1104 + d1 * 92 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1116 + d1 * 93 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,93,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1116 + d1 * 93 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,93,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,94,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1116 + d1 * 93 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1128 + d1 * 94 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,94,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1128 + d1 * 94 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,94,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,95,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1128 + d1 * 94 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1140 + d1 * 95 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,95,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1140 + d1 * 95 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,95,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,96,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1140 + d1 * 95 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 96 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,96,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 96 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,96,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,97,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 96 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1164 + d1 * 97 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,97,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1164 + d1 * 97 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,97,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,98,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1164 + d1 * 97 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1176 + d1 * 98 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,98,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1176 + d1 * 98 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,98,64,bf16]>
tensor<[1,12,1,64,bf16]>
tensor<[1,12,99,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1176 + d1 * 98 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1188 + d1 * 99 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,12,99,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1188 + d1 * 99 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,120,28,28,bf16]>
tensor<[1,120,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12288,85,bf16]>
tensor<[1,3072,85,bf16]>
tensor<[1,768,85,bf16]>
tensor<[1,16128,85,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12288 + d1, d2), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16128 + d1, d2), memory_config: (504, 3, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,16128,85,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16128 + d1, d2), memory_config: (504, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,112,112,bf16]>
tensor<[1,128,112,112,bf16]>
tensor<[1,256,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 112 + d2, d3), memory_config: (896, 4, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,256,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 112 + d2, d3), memory_config: (896, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,128,192,f32]>
tensor<[1,128,128,192,f32]>
tensor<[1,128,128,192,f32]>
tensor<[1,128,128,192,f32]>
tensor<[1,128,128,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
dim: 3 : si32tensor<[1,128,128,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,128,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,64,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,448,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,448,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,19,28,28,bf16]>
tensor<[1,38,28,28,bf16]>
tensor<[1,185,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (162, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (162, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,192,28,28,bf16]>
tensor<[1,96,28,28,bf16]>
tensor<[1,64,28,28,bf16]>
tensor<[1,480,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,480,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,512,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,480,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,480,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,448,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,448,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,416,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,416,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,384,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,384,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,352,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,352,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,320,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,288,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,288,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,224,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,224,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,192,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,160,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,128,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
tensor<[1,384,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 64 + d2, d3), memory_config: (768, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,384,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 64 + d2, d3), memory_config: (768, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,1280,16,16,bf16]>
tensor<[1,1280,16,16,bf16]>
tensor<[1,2560,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,2560,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,1280,16,16,bf16]>
tensor<[1,640,16,16,bf16]>
tensor<[1,1920,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1920,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,1280,32,32,bf16]>
tensor<[1,640,32,32,bf16]>
tensor<[1,1920,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1920,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
tensor<[1,2560,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,2560,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,12,ui32]>
tensor<[1,1,ui32]>
tensor<[1,13,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,13,64,f32]>
tensor<[1,13,64,f32]>
tensor<[1,13,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,13,ui32]>
tensor<[1,1,ui32]>
tensor<[1,14,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,14,14,256,bf16]>
tensor<[1,14,14,256,bf16]>
tensor<[1,14,14,256,bf16]>
tensor<[1,14,14,256,bf16]>
tensor<[1,14,14,1024,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,14,56,56,bf16]>
tensor<[1,14,56,56,bf16]>
tensor<[1,14,56,56,bf16]>
tensor<[1,14,56,56,bf16]>
tensor<[1,68,56,56,bf16]>
tensor<[1,124,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 56 + d2, d3), memory_config: (217, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,124,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 56 + d2, d3), memory_config: (217, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,14,56,56,bf16]>
tensor<[1,24,56,56,bf16]>
tensor<[1,40,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
tensor<[1,142,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7952 + d1 * 56 + d2, d3), memory_config: (249, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,142,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7952 + d1 * 56 + d2, d3), memory_config: (249, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,14,56,56,bf16]>
tensor<[1,24,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
tensor<[1,102,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5712 + d1 * 56 + d2, d3), memory_config: (179, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,102,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5712 + d1 * 56 + d2, d3), memory_config: (179, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,14,56,56,bf16]>
tensor<[1,40,56,56,bf16]>
tensor<[1,54,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3024 + d1 * 56 + d2, d3), memory_config: (95, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,54,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3024 + d1 * 56 + d2, d3), memory_config: (95, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,14,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
tensor<[1,78,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4368 + d1 * 56 + d2, d3), memory_config: (137, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,78,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4368 + d1 * 56 + d2, d3), memory_config: (137, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,14,ui32]>
tensor<[1,1,ui32]>
tensor<[1,15,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,1536,32,32,f32]>
tensor<[1,1536,32,32,f32]>
tensor<[1,3072,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 32 + d2, d3), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 32 + d2, d3), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 32 + d2, d3), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,3072,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 32 + d2, d3), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,15,ui32]>
tensor<[1,1,ui32]>
tensor<[1,16,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,16,1,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,2,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,10,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,11,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,10,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,11,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,11,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,12,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,11,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,12,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,12,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,12,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,13,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,14,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,13,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,14,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,14,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,15,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,14,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,15,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,15,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,16,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,15,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,16,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,16,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,17,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,16,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,17,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,16,768,f32]>
tensor<[1,16,16,768,f32]>
tensor<[1,16,16,768,f32]>
tensor<[1,16,16,768,f32]>
tensor<[1,16,16,3072,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
dim: 3 : si32tensor<[1,16,16,3072,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,16,17,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,18,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,17,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,18,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,18,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,19,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,18,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,19,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,19,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,20,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,19,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,20,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,2,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,3,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,20,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,21,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,21,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,20,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,21,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,21,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,21,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,22,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,22,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,21,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,22,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,22,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,22,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,23,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,23,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,22,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,23,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,23,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,23,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,24,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,23,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,24,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,24,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,25,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 25 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,25,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 25 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,25,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,26,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 25 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 * 26 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,26,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 * 26 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,26,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,27,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 * 26 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 27 + d2, d3), memory_config: (14, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,27,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 27 + d2, d3), memory_config: (14, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,27,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,28,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 27 + d2, d3), memory_config: (14, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,144,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,134,28,28,bf16]>
tensor<[1,262,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7336 + d1 * 28 + d2, d3), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,262,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7336 + d1 * 28 + d2, d3), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,28,28,bf16]>
tensor<[1,28,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,172,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4816 + d1 * 28 + d2, d3), memory_config: (151, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,172,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4816 + d1 * 28 + d2, d3), memory_config: (151, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,28,28,bf16]>
tensor<[1,28,28,28,bf16]>
tensor<[1,46,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,218,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6104 + d1 * 28 + d2, d3), memory_config: (191, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,218,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6104 + d1 * 28 + d2, d3), memory_config: (191, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,28,28,bf16]>
tensor<[1,28,28,28,bf16]>
tensor<[1,46,28,28,bf16]>
tensor<[1,78,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,296,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 28 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,296,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 28 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,28,28,bf16]>
tensor<[1,28,28,28,bf16]>
tensor<[1,78,28,28,bf16]>
tensor<[1,122,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3416 + d1 * 28 + d2, d3), memory_config: (107, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,122,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3416 + d1 * 28 + d2, d3), memory_config: (107, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,28,28,bf16]>
tensor<[1,46,28,28,bf16]>
tensor<[1,62,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1736 + d1 * 28 + d2, d3), memory_config: (55, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,62,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1736 + d1 * 28 + d2, d3), memory_config: (55, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,28,28,bf16]>
tensor<[1,78,28,28,bf16]>
tensor<[1,94,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2632 + d1 * 28 + d2, d3), memory_config: (83, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,94,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2632 + d1 * 28 + d2, d3), memory_config: (83, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,28,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,29,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 464 + d1 * 29 + d2, d3), memory_config: (15, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,29,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 464 + d1 * 29 + d2, d3), memory_config: (15, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,3,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,4,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,4,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,5,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,5,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,6,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,6,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,6,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,7,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,8,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,7,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,8,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,8,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,9,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,8,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,9,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,9,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,10,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,9,64,bf16]>
tensor<[1,16,1,64,bf16]>
tensor<[1,16,10,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,16,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,160,14,14,bf16]>
tensor<[1,224,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,160,7,7,bf16]>
tensor<[1,160,7,7,bf16]>
tensor<[1,462,7,7,bf16]>
tensor<[1,782,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5474 + d1 * 7 + d2, d3), memory_config: (172, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,782,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5474 + d1 * 7 + d2, d3), memory_config: (172, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,160,7,7,bf16]>
tensor<[1,272,7,7,bf16]>
tensor<[1,640,7,7,bf16]>
tensor<[1,1072,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 7 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7504 + d1 * 7 + d2, d3), memory_config: (235, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1072,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7504 + d1 * 7 + d2, d3), memory_config: (235, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,160,7,7,bf16]>
tensor<[1,640,7,7,bf16]>
tensor<[1,800,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 7 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5600 + d1 * 7 + d2, d3), memory_config: (175, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,800,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5600 + d1 * 7 + d2, d3), memory_config: (175, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,16,ui32]>
tensor<[1,1,ui32]>
tensor<[1,17,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,17,ui32]>
tensor<[1,1,ui32]>
tensor<[1,18,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,18,ui32]>
tensor<[1,1,ui32]>
tensor<[1,19,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,192,14,14,bf16]>
tensor<[1,208,14,14,bf16]>
tensor<[1,48,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,192,256,256,f32]>
tensor<[1,192,256,256,f32]>
tensor<[1,384,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 256 + d2, d3), memory_config: (3072, 8, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,384,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 256 + d2, d3), memory_config: (3072, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,192,35,35,bf16]>
tensor<[1,192,35,35,bf16]>
tensor<[1,384,35,35,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,384,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,192,8,8,bf16]>
tensor<[1,320,8,8,bf16]>
tensor<[1,1024,8,8,bf16]>
tensor<[1,1536,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 8 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 8 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1536,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 8 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,19,ui32]>
tensor<[1,1,ui32]>
tensor<[1,20,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,1,ui32]>
tensor<[1,1,ui32]>
tensor<[1,2,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,2,1,64,bf16]>
tensor<[1,2,1,64,bf16]>
tensor<[1,2,1,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,12,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,13,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 * 13 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 * 13 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,12,64,bf16]>
tensor<[1,2,12,64,bf16]>
tensor<[1,2,12,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,13,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,14,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 * 13 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 14 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 14 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,14,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,15,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 14 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 15 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,15,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 15 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,15,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,16,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 15 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 16 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 16 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,16,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,17,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 16 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 * 17 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,17,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 * 17 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,17,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,18,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 * 17 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 18 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,18,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 18 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,18,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,19,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 18 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38 + d1 * 19 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,19,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38 + d1 * 19 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,19,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,20,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38 + d1 * 19 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 20 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,20,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 20 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,20,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,21,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 20 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 21 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,21,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 21 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,21,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,22,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 21 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 44 + d1 * 22 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,22,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 44 + d1 * 22 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,22,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,23,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 44 + d1 * 22 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 * 23 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,23,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 * 23 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,23,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,24,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 * 23 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 24 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,24,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 24 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,24,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,25,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 24 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50 + d1 * 25 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,25,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50 + d1 * 25 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,25,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,26,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50 + d1 * 25 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 26 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,26,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 26 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,26,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,27,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 26 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 27 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,27,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 27 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,27,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,28,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 27 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 28 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 28 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2,28,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,29,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 28 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 * 29 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,2,29,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 * 29 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,168,28,28,bf16]>
tensor<[1,328,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 28 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,328,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 28 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,40,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,20,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
tensor<[1,276,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7728 + d1 * 28 + d2, d3), memory_config: (242, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,276,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7728 + d1 * 28 + d2, d3), memory_config: (242, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,20,28,28,bf16]>
tensor<[1,34,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
tensor<[1,310,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8680 + d1 * 28 + d2, d3), memory_config: (272, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,310,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8680 + d1 * 28 + d2, d3), memory_config: (272, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,20,28,28,bf16]>
tensor<[1,34,28,28,bf16]>
tensor<[1,58,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
tensor<[1,368,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 28 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,368,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 28 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,20,28,28,bf16]>
tensor<[1,34,28,28,bf16]>
tensor<[1,58,28,28,bf16]>
tensor<[1,98,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
tensor<[1,466,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13048 + d1 * 28 + d2, d3), memory_config: (408, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,466,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13048 + d1 * 28 + d2, d3), memory_config: (408, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,20,28,28,bf16]>
tensor<[1,34,28,28,bf16]>
tensor<[1,98,28,28,bf16]>
tensor<[1,152,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4256 + d1 * 28 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,152,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4256 + d1 * 28 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,20,28,28,bf16]>
tensor<[1,58,28,28,bf16]>
tensor<[1,78,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,20,28,28,bf16]>
tensor<[1,98,28,28,bf16]>
tensor<[1,118,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3304 + d1 * 28 + d2, d3), memory_config: (104, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,118,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3304 + d1 * 28 + d2, d3), memory_config: (104, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,20,ui32]>
tensor<[1,1,ui32]>
tensor<[1,21,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,21,ui32]>
tensor<[1,1,ui32]>
tensor<[1,22,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,22,ui32]>
tensor<[1,1,ui32]>
tensor<[1,23,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,23,ui32]>
tensor<[1,1,ui32]>
tensor<[1,24,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,24,112,112,bf16]>
tensor<[1,24,112,112,bf16]>
tensor<[1,48,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 112 + d2, d3), memory_config: (168, 4, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,48,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 112 + d2, d3), memory_config: (168, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,24,32,64,bf16]>
tensor<[1,24,32,64,bf16]>
tensor<[1,24,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,2400,4,f32]>
tensor<[1,600,4,f32]>
tensor<[1,150,4,f32]>
tensor<[1,54,4,f32]>
tensor<[1,24,4,f32]>
tensor<[1,6,4,f32]>
tensor<[1,3234,4,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2400 + d1, d2), memory_config: (75, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 600 + d1, d2), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 150 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 54 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3234 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,3234,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3234 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,2400,91,f32]>
tensor<[1,600,91,f32]>
tensor<[1,150,91,f32]>
tensor<[1,54,91,f32]>
tensor<[1,24,91,f32]>
tensor<[1,6,91,f32]>
tensor<[1,3234,91,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2400 + d1, d2), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 600 + d1, d2), memory_config: (19, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 150 + d1, d2), memory_config: (5, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 54 + d1, d2), memory_config: (2, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3234 + d1, d2), memory_config: (102, 3, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,3234,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3234 + d1, d2), memory_config: (102, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,24,ui32]>
tensor<[1,1,ui32]>
tensor<[1,25,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,256,128,128,bf16]>
tensor<[1,256,128,128,bf16]>
tensor<[1,256,128,128,bf16]>
tensor<[1,256,128,128,bf16]>
tensor<[1,1024,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 131072 + d1 * 128 + d2, d3), memory_config: (4096, 4, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1024,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 131072 + d1 * 128 + d2, d3), memory_config: (4096, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
tensor<[1,128,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
tensor<[1,896,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1792,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1792,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1760,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1760,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1728,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1728,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1696,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1696,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1664,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1664,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1632,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1632,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1600,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1600,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1568,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1568,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1536,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1536,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1504,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1504,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1472,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1472,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1440,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1440,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1408,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1408,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1376,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1376,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1344,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1312,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1312,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1280,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1280,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1248,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1248,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1216,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1216,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1184,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1152,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1152,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1120,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1088,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1056,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1056,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,1024,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,992,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,992,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,960,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,960,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,928,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,928,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,896,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,864,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,864,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,832,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,800,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,800,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,768,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,736,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,736,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,704,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,704,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,640,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,608,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,608,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,576,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,544,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,448,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,448,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,416,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,416,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,384,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,352,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,352,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,320,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,288,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,288,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,14,14,bf16]>
tensor<[1,320,14,14,bf16]>
tensor<[1,128,14,14,bf16]>
tensor<[1,128,14,14,bf16]>
tensor<[1,832,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,28,28,bf16]>
tensor<[1,160,28,28,bf16]>
tensor<[1,160,28,28,bf16]>
tensor<[1,160,28,28,bf16]>
tensor<[1,736,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 28 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,736,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 28 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
tensor<[1,768,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,768,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,56,56,bf16]>
tensor<[1,256,56,56,bf16]>
tensor<[1,512,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,512,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,7,7,bf16]>
tensor<[1,320,7,7,bf16]>
tensor<[1,128,7,7,bf16]>
tensor<[1,128,7,7,bf16]>
tensor<[1,832,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,832,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,8,8,bf16]>
tensor<[1,256,8,8,bf16]>
tensor<[1,512,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,512,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,256,8,8,bf16]>
tensor<[1,512,8,8,bf16]>
tensor<[1,512,8,8,bf16]>
tensor<[1,256,8,8,bf16]>
tensor<[1,1536,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 8 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1536,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 8 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,25,ui32]>
tensor<[1,1,ui32]>
tensor<[1,26,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,26,ui32]>
tensor<[1,1,ui32]>
tensor<[1,27,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,27,ui32]>
tensor<[1,1,ui32]>
tensor<[1,28,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,28,13,64,bf16]>
tensor<[1,28,13,64,bf16]>
tensor<[1,28,13,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,28,28,128,bf16]>
tensor<[1,28,28,128,bf16]>
tensor<[1,28,28,128,bf16]>
tensor<[1,28,28,128,bf16]>
tensor<[1,28,28,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,28,ui32]>
tensor<[1,1,ui32]>
tensor<[1,29,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,29,ui32]>
tensor<[1,1,ui32]>
tensor<[1,30,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,30,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,2,ui32]>
tensor<[1,1,ui32]>
tensor<[1,3,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,81,bf16]>
tensor<[1,3,16,16,85,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')
dim: 4 : si32tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,81,bf16]>
tensor<[1,3,32,32,85,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')
dim: 4 : si32tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,81,bf16]>
tensor<[1,3,64,64,85,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')
dim: 4 : si32tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,32,128,128,bf16]>
tensor<[1,32,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,32,32,384,f32]>
tensor<[1,32,32,384,f32]>
tensor<[1,32,32,384,f32]>
tensor<[1,32,32,384,f32]>
tensor<[1,32,32,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
dim: 3 : si32tensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,32,32,64,bf16]>
tensor<[1,32,32,64,bf16]>
tensor<[1,32,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,32,32,768,f32]>
tensor<[1,32,32,768,f32]>
tensor<[1,32,32,768,f32]>
tensor<[1,32,32,768,f32]>
tensor<[1,32,32,3072,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
dim: 3 : si32tensor<[1,32,32,3072,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,32,64,f32]>
tensor<[1,32,64,f32]>
tensor<[1,32,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,320,64,64,bf16]>
tensor<[1,320,64,64,bf16]>
tensor<[1,640,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,336,14,14,bf16]>
tensor<[1,336,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,36,56,56,bf16]>
tensor<[1,36,56,56,bf16]>
tensor<[1,72,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,384,128,128,f32]>
tensor<[1,384,128,128,f32]>
tensor<[1,768,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 128 + d2, d3), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 128 + d2, d3), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 128 + d2, d3), memory_config: (3072, 4, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,768,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 128 + d2, d3), memory_config: (3072, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,384,17,17,bf16]>
tensor<[1,256,17,17,bf16]>
tensor<[1,256,17,17,bf16]>
tensor<[1,128,17,17,bf16]>
tensor<[1,1024,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17408 + d1 * 17 + d2, d3), memory_config: (544, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1024,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17408 + d1 * 17 + d2, d3), memory_config: (544, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,384,17,17,bf16]>
tensor<[1,256,17,17,bf16]>
tensor<[1,384,17,17,bf16]>
tensor<[1,1024,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17408 + d1 * 17 + d2, d3), memory_config: (544, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1024,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17408 + d1 * 17 + d2, d3), memory_config: (544, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,384,32,32,f32]>
tensor<[1,768,32,32,f32]>
tensor<[1,1536,32,32,f32]>
tensor<[1,3072,32,32,f32]>
tensor<[1,5760,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 32 + d2, d3), memory_config: (384, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 32 + d2, d3), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 32 + d2, d3), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184320 + d1 * 32 + d2, d3), memory_config: (5760, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,5760,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184320 + d1 * 32 + d2, d3), memory_config: (5760, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,384,7,7,bf16]>
tensor<[1,384,7,7,bf16]>
tensor<[1,128,7,7,bf16]>
tensor<[1,128,7,7,bf16]>
tensor<[1,1024,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3,ui32]>
tensor<[1,1,ui32]>
tensor<[1,4,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,4,13,64,bf16]>
tensor<[1,4,13,64,bf16]>
tensor<[1,4,13,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,40,14,14,bf16]>
tensor<[1,116,14,14,bf16]>
tensor<[1,156,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 14 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,156,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 14 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,40,14,14,bf16]>
tensor<[1,196,14,14,bf16]>
tensor<[1,236,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3304 + d1 * 14 + d2, d3), memory_config: (104, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,236,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3304 + d1 * 14 + d2, d3), memory_config: (104, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,40,14,14,bf16]>
tensor<[1,320,14,14,bf16]>
tensor<[1,360,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5040 + d1 * 14 + d2, d3), memory_config: (158, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,360,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5040 + d1 * 14 + d2, d3), memory_config: (158, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,334,14,14,bf16]>
tensor<[1,654,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9156 + d1 * 14 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,654,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9156 + d1 * 14 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,80,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,40,14,14,bf16]>
tensor<[1,68,14,14,bf16]>
tensor<[1,116,14,14,bf16]>
tensor<[1,196,14,14,bf16]>
tensor<[1,320,14,14,bf16]>
tensor<[1,740,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10360 + d1 * 14 + d2, d3), memory_config: (324, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,740,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10360 + d1 * 14 + d2, d3), memory_config: (324, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,40,14,14,bf16]>
tensor<[1,68,14,14,bf16]>
tensor<[1,116,14,14,bf16]>
tensor<[1,320,14,14,bf16]>
tensor<[1,544,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,40,14,14,bf16]>
tensor<[1,68,14,14,bf16]>
tensor<[1,196,14,14,bf16]>
tensor<[1,304,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4256 + d1 * 14 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,304,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4256 + d1 * 14 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,40,14,14,bf16]>
tensor<[1,68,14,14,bf16]>
tensor<[1,320,14,14,bf16]>
tensor<[1,428,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5992 + d1 * 14 + d2, d3), memory_config: (188, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,428,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5992 + d1 * 14 + d2, d3), memory_config: (188, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,45,ui32]>
tensor<[1,1,ui32]>
tensor<[1,46,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,46,ui32]>
tensor<[1,1,ui32]>
tensor<[1,47,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,47,ui32]>
tensor<[1,1,ui32]>
tensor<[1,48,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,480,7,7,bf16]>
tensor<[1,480,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,48,ui32]>
tensor<[1,1,ui32]>
tensor<[1,49,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,49,ui32]>
tensor<[1,1,ui32]>
tensor<[1,50,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,4,ui32]>
tensor<[1,1,ui32]>
tensor<[1,5,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,5,16,32,f32]>
tensor<[1,5,16,32,f32]>
tensor<[1,5,16,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
dim: 3 : si32tensor<[1,5,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,50,ui32]>
tensor<[1,1,ui32]>
tensor<[1,51,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,512,14,14,bf16]>
tensor<[1,192,14,14,bf16]>
tensor<[1,192,14,14,bf16]>
tensor<[1,192,14,14,bf16]>
tensor<[1,1088,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,512,28,28,bf16]>
tensor<[1,512,28,28,bf16]>
tensor<[1,1024,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1024,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,512,7,7,bf16]>
tensor<[1,512,7,7,bf16]>
tensor<[1,256,7,7,bf16]>
tensor<[1,1280,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,51,ui32]>
tensor<[1,1,ui32]>
tensor<[1,52,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,52,ui32]>
tensor<[1,1,ui32]>
tensor<[1,53,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,53,ui32]>
tensor<[1,1,ui32]>
tensor<[1,54,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,54,ui32]>
tensor<[1,1,ui32]>
tensor<[1,55,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,55,ui32]>
tensor<[1,1,ui32]>
tensor<[1,56,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,56,14,14,bf16]>
tensor<[1,56,14,14,bf16]>
tensor<[1,112,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,56,ui32]>
tensor<[1,1,ui32]>
tensor<[1,57,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,57,ui32]>
tensor<[1,1,ui32]>
tensor<[1,58,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,58,ui32]>
tensor<[1,1,ui32]>
tensor<[1,59,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,59,ui32]>
tensor<[1,1,ui32]>
tensor<[1,60,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,5,ui32]>
tensor<[1,1,ui32]>
tensor<[1,6,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,6,1,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,2,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,10,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,11,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 10 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 66 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 66 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,11,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,12,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 66 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,12,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 * 13 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 * 13 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,13,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,14,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 * 13 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 14 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 14 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,14,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,15,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 14 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,15,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,16,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,16,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,17,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102 + d1 * 17 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102 + d1 * 17 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,17,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,18,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102 + d1 * 17 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 18 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 18 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,18,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,19,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 18 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 114 + d1 * 19 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 114 + d1 * 19 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,19,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,20,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 114 + d1 * 19 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 20 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 20 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,2,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,3,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,3,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,4,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,4,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,5,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 5 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 5 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,5,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,6,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 5 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,6,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,7,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,8,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,8,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,9,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 9 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 9 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,6,9,64,bf16]>
tensor<[1,6,1,64,bf16]>
tensor<[1,6,10,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 9 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 10 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,6,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 10 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,60,28,28,bf16]>
tensor<[1,60,28,28,bf16]>
tensor<[1,120,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,60,ui32]>
tensor<[1,1,ui32]>
tensor<[1,61,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,61,ui32]>
tensor<[1,1,ui32]>
tensor<[1,62,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,62,ui32]>
tensor<[1,1,ui32]>
tensor<[1,63,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,63,ui32]>
tensor<[1,1,ui32]>
tensor<[1,64,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,64,120,160,bf16]>
tensor<[1,64,120,160,bf16]>
tensor<[1,128,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 120 + d2, d3), memory_config: (480, 5, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,128,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 120 + d2, d3), memory_config: (480, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,224,224,bf16]>
tensor<[1,64,224,224,bf16]>
tensor<[1,128,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 224 + d2, d3), memory_config: (896, 7, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,128,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 224 + d2, d3), memory_config: (896, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,30,40,bf16]>
tensor<[1,64,30,40,bf16]>
tensor<[1,128,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 30 + d2, d3), memory_config: (120, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,128,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 30 + d2, d3), memory_config: (120, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
tensor<[1,448,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 56 + d2, d3), memory_config: (784, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,448,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 56 + d2, d3), memory_config: (784, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,256,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,224,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,224,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,192,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,192,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,160,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,160,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,96,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,60,80,bf16]>
tensor<[1,64,60,80,bf16]>
tensor<[1,128,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,64,192,f32]>
tensor<[1,64,64,192,f32]>
tensor<[1,64,64,192,f32]>
tensor<[1,64,64,192,f32]>
tensor<[1,64,64,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
dim: 3 : si32tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,64,64,384,f32]>
tensor<[1,64,64,384,f32]>
tensor<[1,64,64,384,f32]>
tensor<[1,64,64,384,f32]>
tensor<[1,64,64,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
dim: 3 : si32tensor<[1,64,64,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,64,64,64,bf16]>
tensor<[1,64,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,73,73,bf16]>
tensor<[1,96,73,73,bf16]>
tensor<[1,160,73,73,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11680 + d1 * 73 + d2, d3), memory_config: (365, 3, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,160,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11680 + d1 * 73 + d2, d3), memory_config: (365, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,640,32,32,bf16]>
tensor<[1,320,32,32,bf16]>
tensor<[1,960,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,960,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,640,32,32,bf16]>
tensor<[1,640,32,32,bf16]>
tensor<[1,1280,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,640,64,64,bf16]>
tensor<[1,320,64,64,bf16]>
tensor<[1,960,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,960,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,64,ui32]>
tensor<[1,1,ui32]>
tensor<[1,65,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,65,ui32]>
tensor<[1,1,ui32]>
tensor<[1,66,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,66,ui32]>
tensor<[1,1,ui32]>
tensor<[1,67,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,67,ui32]>
tensor<[1,1,ui32]>
tensor<[1,68,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,68,ui32]>
tensor<[1,1,ui32]>
tensor<[1,69,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,69,ui32]>
tensor<[1,1,ui32]>
tensor<[1,70,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,6,ui32]>
tensor<[1,1,ui32]>
tensor<[1,7,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,7,7,512,bf16]>
tensor<[1,7,7,512,bf16]>
tensor<[1,7,7,512,bf16]>
tensor<[1,7,7,512,bf16]>
tensor<[1,7,7,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,70,ui32]>
tensor<[1,1,ui32]>
tensor<[1,71,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,71,7,32,bf16]>
tensor<[1,71,7,32,bf16]>
tensor<[1,71,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,71,ui32]>
tensor<[1,1,ui32]>
tensor<[1,72,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,72,ui32]>
tensor<[1,1,ui32]>
tensor<[1,73,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,73,ui32]>
tensor<[1,1,ui32]>
tensor<[1,74,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,74,ui32]>
tensor<[1,1,ui32]>
tensor<[1,75,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,75,ui32]>
tensor<[1,1,ui32]>
tensor<[1,76,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,768,64,64,f32]>
tensor<[1,768,64,64,f32]>
tensor<[1,1536,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 64 + d2, d3), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 64 + d2, d3), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 64 + d2, d3), memory_config: (3072, 2, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,1536,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 64 + d2, d3), memory_config: (3072, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,768,7,7,bf16]>
tensor<[1,224,7,7,bf16]>
tensor<[1,224,7,7,bf16]>
tensor<[1,224,7,7,bf16]>
tensor<[1,1440,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 7 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,76,ui32]>
tensor<[1,1,ui32]>
tensor<[1,77,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,77,ui32]>
tensor<[1,1,ui32]>
tensor<[1,78,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,78,ui32]>
tensor<[1,1,ui32]>
tensor<[1,79,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,79,ui32]>
tensor<[1,1,ui32]>
tensor<[1,80,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,7,ui32]>
tensor<[1,1,ui32]>
tensor<[1,8,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,8,1,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,2,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,10,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,11,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,11,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,12,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,112,112,bf16]>
tensor<[1,8,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,12,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 104 + d1 * 13 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 104 + d1 * 13 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,13,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,14,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 104 + d1 * 13 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 14 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 14 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,14,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,15,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 14 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 15 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 15 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,15,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,16,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 15 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 16 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 16 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,16,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,17,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 16 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 * 17 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 * 17 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,17,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,18,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 * 17 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 18 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 18 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,18,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,19,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 18 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 152 + d1 * 19 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 152 + d1 * 19 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,19,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,20,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 152 + d1 * 19 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 20 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 20 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,2,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,3,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,3,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,4,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,32,64,bf16]>
tensor<[1,8,32,64,bf16]>
tensor<[1,8,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
dim: 3 : si32tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,4,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,5,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,5,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,6,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,6,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,7,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,8,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,768,bf16]>
tensor<[1,193,768,bf16]>
tensor<[1,201,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 193 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,8,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,9,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,8,9,64,bf16]>
tensor<[1,8,1,64,bf16]>
tensor<[1,8,10,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,8,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,80,7,7,bf16]>
tensor<[1,80,7,7,bf16]>
tensor<[1,160,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,80,ui32]>
tensor<[1,1,ui32]>
tensor<[1,81,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,81,ui32]>
tensor<[1,1,ui32]>
tensor<[1,82,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,82,ui32]>
tensor<[1,1,ui32]>
tensor<[1,83,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,83,ui32]>
tensor<[1,1,ui32]>
tensor<[1,84,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,84,ui32]>
tensor<[1,1,ui32]>
tensor<[1,85,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,85,ui32]>
tensor<[1,1,ui32]>
tensor<[1,86,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,86,ui32]>
tensor<[1,1,ui32]>
tensor<[1,87,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,87,ui32]>
tensor<[1,1,ui32]>
tensor<[1,88,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,88,ui32]>
tensor<[1,1,ui32]>
tensor<[1,89,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1920,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1920,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1888,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1888,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1856,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1856,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1824,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1824,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1792,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1792,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1760,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1760,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1728,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1728,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1696,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1696,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1664,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1664,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1632,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1632,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1600,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1600,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1568,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1568,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1536,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1536,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1504,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1504,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1472,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1472,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1440,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1408,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1408,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1376,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1376,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1344,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1344,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1312,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1312,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1280,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1248,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1248,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1216,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1216,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1184,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1152,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1120,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1120,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1088,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1088,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1056,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1056,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,1024,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,992,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,992,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,896,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,928,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,928,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,89,ui32]>
tensor<[1,1,ui32]>
tensor<[1,90,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,8,ui32]>
tensor<[1,193,ui32]>
tensor<[1,201,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,201,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,8,ui32]>
tensor<[1,1,ui32]>
tensor<[1,9,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,90,ui32]>
tensor<[1,1,ui32]>
tensor<[1,91,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,91,ui32]>
tensor<[1,1,ui32]>
tensor<[1,92,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,92,14,14,bf16]>
tensor<[1,92,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,92,ui32]>
tensor<[1,1,ui32]>
tensor<[1,93,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,93,ui32]>
tensor<[1,1,ui32]>
tensor<[1,94,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,94,ui32]>
tensor<[1,1,ui32]>
tensor<[1,95,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,95,ui32]>
tensor<[1,1,ui32]>
tensor<[1,96,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,96,35,35,bf16]>
tensor<[1,96,35,35,bf16]>
tensor<[1,96,35,35,bf16]>
tensor<[1,96,35,35,bf16]>
tensor<[1,384,35,35,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,384,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,96,71,71,bf16]>
tensor<[1,96,71,71,bf16]>
tensor<[1,192,71,71,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13632 + d1 * 71 + d2, d3), memory_config: (426, 3, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,192,71,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13632 + d1 * 71 + d2, d3), memory_config: (426, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,96,ui32]>
tensor<[1,1,ui32]>
tensor<[1,97,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,97,ui32]>
tensor<[1,1,ui32]>
tensor<[1,98,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,98,ui32]>
tensor<[1,1,ui32]>
tensor<[1,99,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,99,ui32]>
tensor<[1,1,ui32]>
tensor<[1,100,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,100,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,9,ui32]>
tensor<[1,1,ui32]>
tensor<[1,10,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 1 : si32tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
tensor<[4,13,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
dim: 0 : si32tensor<[4,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[2,13,ui32]>
tensor<[2,13,ui32]>
tensor<[4,13,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
dim: 0 : si32tensor<[4,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.concattensor<[1,6,132,192,f32]>
tensor<[1,126,132,192,f32]>
tensor<[1,132,132,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,132,6,192,f32]>
tensor<[1,132,126,192,f32]>
tensor<[1,132,132,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,126,132,384,f32]>
tensor<[1,6,132,384,f32]>
tensor<[1,132,132,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,132,126,384,f32]>
tensor<[1,132,6,384,f32]>
tensor<[1,132,132,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,6,132,384,f32]>
tensor<[1,126,132,384,f32]>
tensor<[1,132,132,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,132,6,384,f32]>
tensor<[1,132,126,384,f32]>
tensor<[1,132,132,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,11,14,512,bf16]>
tensor<[1,3,14,512,bf16]>
tensor<[1,14,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (5, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,14,11,512,bf16]>
tensor<[1,14,3,512,bf16]>
tensor<[1,14,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (5, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3,14,512,bf16]>
tensor<[1,11,14,512,bf16]>
tensor<[1,14,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (5, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,14,3,512,bf16]>
tensor<[1,14,11,512,bf16]>
tensor<[1,14,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (5, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,18,24,1536,f32]>
tensor<[1,6,24,1536,f32]>
tensor<[1,24,24,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,24,18,1536,f32]>
tensor<[1,24,6,1536,f32]>
tensor<[1,24,24,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,6,24,1536,f32]>
tensor<[1,18,24,1536,f32]>
tensor<[1,24,24,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,24,6,1536,f32]>
tensor<[1,24,18,1536,f32]>
tensor<[1,24,24,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,258,264,192,f32]>
tensor<[1,6,264,192,f32]>
tensor<[1,264,264,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,264,258,192,f32]>
tensor<[1,264,6,192,f32]>
tensor<[1,264,264,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,6,264,192,f32]>
tensor<[1,258,264,192,f32]>
tensor<[1,264,264,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,264,6,192,f32]>
tensor<[1,264,258,192,f32]>
tensor<[1,264,264,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,25,28,256,bf16]>
tensor<[1,3,28,256,bf16]>
tensor<[1,28,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (22, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (3, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,28,25,256,bf16]>
tensor<[1,28,3,256,bf16]>
tensor<[1,28,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (22, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (3, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3,28,256,bf16]>
tensor<[1,25,28,256,bf16]>
tensor<[1,28,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (3, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (22, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,28,3,256,bf16]>
tensor<[1,28,25,256,bf16]>
tensor<[1,28,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (3, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (22, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,30,36,1536,f32]>
tensor<[1,6,36,1536,f32]>
tensor<[1,36,36,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,36,30,1536,f32]>
tensor<[1,36,6,1536,f32]>
tensor<[1,36,36,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,6,36,1536,f32]>
tensor<[1,30,36,1536,f32]>
tensor<[1,36,36,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,36,6,1536,f32]>
tensor<[1,36,30,1536,f32]>
tensor<[1,36,36,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,30,36,768,f32]>
tensor<[1,6,36,768,f32]>
tensor<[1,36,36,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,36,30,768,f32]>
tensor<[1,36,6,768,f32]>
tensor<[1,36,36,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,6,36,768,f32]>
tensor<[1,30,36,768,f32]>
tensor<[1,36,36,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,36,6,768,f32]>
tensor<[1,36,30,768,f32]>
tensor<[1,36,36,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,53,56,128,bf16]>
tensor<[1,3,56,128,bf16]>
tensor<[1,56,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (93, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,56,53,128,bf16]>
tensor<[1,56,3,128,bf16]>
tensor<[1,56,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (93, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3,56,128,bf16]>
tensor<[1,53,56,128,bf16]>
tensor<[1,56,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (93, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
dim: 1 : si32tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,56,3,128,bf16]>
tensor<[1,56,53,128,bf16]>
tensor<[1,56,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (93, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,66,72,384,f32]>
tensor<[1,6,72,384,f32]>
tensor<[1,72,72,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,72,66,384,f32]>
tensor<[1,72,6,384,f32]>
tensor<[1,72,72,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,6,72,384,f32]>
tensor<[1,66,72,384,f32]>
tensor<[1,72,72,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,72,6,384,f32]>
tensor<[1,72,66,384,f32]>
tensor<[1,72,72,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,66,72,768,f32]>
tensor<[1,6,72,768,f32]>
tensor<[1,72,72,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,72,66,768,f32]>
tensor<[1,72,6,768,f32]>
tensor<[1,72,72,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,6,72,768,f32]>
tensor<[1,66,72,768,f32]>
tensor<[1,72,72,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,72,6,768,f32]>
tensor<[1,72,66,768,f32]>
tensor<[1,72,72,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,1,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
dim: 2 : si32tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,5,16,16,1,bf16]>
tensor<[1,5,16,16,1,bf16]>
tensor<[1,5,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1280 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1280 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1280 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
dim: 4 : si32tensor<[1,5,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1280 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[1,100,1,256,bf16]>
tensor<[1,100,1,256,bf16]>
tensor<[1,100,1,256,bf16]>
tensor<[1,100,1,256,bf16]>
tensor<[1,100,1,256,bf16]>
tensor<[1,100,1,256,bf16]>
tensor<[6,100,1,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')
dim: 0 : si32tensor<[6,100,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.concattensor<[3234,1,1,f32]>
tensor<[3234,1,1,f32]>
tensor<[3234,1,1,f32]>
tensor<[3234,1,1,f32]>
tensor<[3234,1,4,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[3234,1,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[3234,2,1,f32]>
tensor<[3234,2,1,f32]>
tensor<[3234,2,2,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
dim: 2 : si32tensor<[3234,2,2,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.concattensor<[4,1,1,2048,f32]>
tensor<[4,1,1,2048,f32]>
tensor<[4,1,1,2048,f32]>
tensor<[4,1,1,2048,f32]>
tensor<[4,4,1,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
dim: 1 : si32tensor<[4,4,1,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan

ttnn.conv2d

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.conv2dtensor<[1,1,100,1024,bf16]>
tensor<[1024,1024,1,1,bf16]>
tensor<[1,1,100,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (1048576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,1024,bf16]>
tensor<[1024,1,3,3,bf16]>
tensor<[1,1,100,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (3072, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1024 : i32
in_channels: 1024 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,1024,bf16]>
tensor<[1536,1024,1,1,bf16]>
tensor<[1,1,100,1536,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (1572864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1536 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,1024,bf16]>
tensor<[256,1024,1,1,bf16]>
tensor<[1,1,16384,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1024,bf16]>
tensor<[1024,1024,1,1,bf16]>
tensor<[1,1,196,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (1048576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1024,bf16]>
tensor<[1024,1024,3,3,bf16]>
tensor<[1,1,196,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 3 + d2, d3), memory_config: (3145728, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1024,bf16]>
tensor<[1024,1024,3,3,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 3 + d2, d3), memory_config: (3145728, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1024,bf16]>
tensor<[1024,16,3,3,bf16]>
tensor<[1,1,196,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 1024 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1024,bf16]>
tensor<[128,1024,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1024,bf16]>
tensor<[2048,1024,1,1,bf16]>
tensor<[1,1,196,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (2097152, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2048 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1024,bf16]>
tensor<[2048,1024,1,1,bf16]>
tensor<[1,1,49,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (2097152, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2048 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1024,bf16]>
tensor<[256,1024,1,1,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1024,bf16]>
tensor<[512,1024,1,1,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (524288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,1024,bf16]>
tensor<[1024,1,3,3,bf16]>
tensor<[1,1,256,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (3072, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1024 : i32
in_channels: 1024 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,1024,bf16]>
tensor<[255,1024,1,1,bf16]>
tensor<[1,1,256,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (261120, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 255 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,1024,bf16]>
tensor<[512,1024,1,1,bf16]>
tensor<[1,1,256,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (524288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,1024,bf16]>
tensor<[128,1024,1,1,bf16]>
tensor<[1,1,289,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,1024,bf16]>
tensor<[192,1024,1,1,bf16]>
tensor<[1,1,289,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (196608, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,1024,bf16]>
tensor<[256,1024,1,1,bf16]>
tensor<[1,1,289,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,1024,bf16]>
tensor<[384,1024,1,1,bf16]>
tensor<[1,1,289,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (393216, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 384 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,1024,bf16]>
tensor<[1024,1,3,3,bf16]>
tensor<[1,1,100,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (3072, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1024 : i32
in_channels: 1024 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,1024,bf16]>
tensor<[1024,1024,1,1,bf16]>
tensor<[1,1,1,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (1048576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,1024,bf16]>
tensor<[1024,16,3,3,bf16]>
tensor<[1,1,196,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 1024 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,1024,bf16]>
tensor<[512,1024,3,3,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 3 + d2, d3), memory_config: (1572864, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3600,1024,bf16]>
tensor<[2048,1024,1,1,bf16]>
tensor<[1,1,920,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (2097152, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 45 : i32
input_width: 80 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2048 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,920,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3600,1024,bf16]>
tensor<[256,1024,1,1,bf16]>
tensor<[1,1,3600,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 45 : i32
input_width: 80 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3600,1024,bf16]>
tensor<[512,1024,1,1,bf16]>
tensor<[1,1,3600,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (524288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 45 : i32
input_width: 80 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3600,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,512,1024,bf16]>
tensor<[256,1024,1,1,bf16]>
tensor<[1,1,512,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 512 + d2, d3), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 512 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,512,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1024,bf16]>
tensor<[1024,1024,1,1,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (1048576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1024,bf16]>
tensor<[1024,1024,3,3,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 3 + d2, d3), memory_config: (3145728, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1024,bf16]>
tensor<[1024,1,3,3,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (3072, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1024 : i32
in_channels: 1024 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1024,bf16]>
tensor<[128,1024,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1024,bf16]>
tensor<[2048,1024,1,1,bf16]>
tensor<[1,1,49,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (2097152, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2048 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1024,bf16]>
tensor<[2048,1024,1,1,bf16]>
tensor<[1,1,49,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (2097152, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1024 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2048 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,102,bf16]>
tensor<[40,102,3,3,bf16]>
tensor<[1,1,3136,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 306 + d1 * 3 + d2, d3), memory_config: (12240, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 102 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 40 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1056,bf16]>
tensor<[128,1056,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 33, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (135168, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1056 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1056,bf16]>
tensor<[128,1056,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 33, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (135168, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1056 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1072,bf16]>
tensor<[462,1072,3,3,bf16]>
tensor<[1,1,49,462,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 34, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3216 + d1 * 3 + d2, d3), memory_config: (1485792, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 462, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1072 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 462 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,462,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 462, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1088,bf16]>
tensor<[128,1088,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 34, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (139264, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1088 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1088,bf16]>
tensor<[768,1088,1,1,bf16]>
tensor<[1,1,196,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 34, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (835584, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1088 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 768 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1088,bf16]>
tensor<[128,1088,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 34, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (139264, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1088 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1120,bf16]>
tensor<[128,1120,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 35, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (143360, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1120 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1120,bf16]>
tensor<[128,1120,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 35, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (143360, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1120 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,112,bf16]>
tensor<[112,1,5,5,bf16]>
tensor<[1,1,49,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (560, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 112, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 112 : i32
in_channels: 112 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 112 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 112, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,112,bf16]>
tensor<[224,112,3,3,bf16]>
tensor<[1,1,196,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 3 + d2, d3), memory_config: (75264, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 224, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 112 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 224 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 224, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,112,bf16]>
tensor<[336,112,1,1,bf16]>
tensor<[1,1,196,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (37632, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 112 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 336 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,112,bf16]>
tensor<[672,112,1,1,bf16]>
tensor<[1,1,196,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (75264, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 112 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,225,112,bf16]>
tensor<[672,112,1,1,bf16]>
tensor<[1,1,225,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (75264, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 112 : i32
input_height: 15 : i32
input_width: 15 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,225,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,112,f32]>
tensor<[672,112,1,1,f32]>
tensor<[1,1,400,672,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (75264, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 112 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,576,112,bf16]>
tensor<[672,112,1,1,bf16]>
tensor<[1,1,576,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (75264, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 112 : i32
input_height: 24 : i32
input_width: 24 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,112,bf16]>
tensor<[160,112,1,1,bf16]>
tensor<[1,1,49,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (17920, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 112 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,112,bf16]>
tensor<[672,112,1,1,bf16]>
tensor<[1,1,49,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (75264, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 112 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1152,bf16]>
tensor<[128,1152,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 36, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (147456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1152 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1152,bf16]>
tensor<[1152,1,3,3,bf16]>
tensor<[1,1,49,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (3456, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1152 : i32
in_channels: 1152 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1152 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1152,bf16]>
tensor<[1152,1,5,5,bf16]>
tensor<[1,1,49,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (5760, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1152 : i32
in_channels: 1152 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 1152 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1152,bf16]>
tensor<[128,1152,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (147456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1152 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1152,bf16]>
tensor<[192,1152,1,1,bf16]>
tensor<[1,1,49,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (221184, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1152 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1152,bf16]>
tensor<[320,1152,1,1,bf16]>
tensor<[1,1,49,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (368640, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1152 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 320 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,1152,bf16]>
tensor<[1152,1,3,3,bf16]>
tensor<[1,1,64,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (3456, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1152 : i32
in_channels: 1152 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1152 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,1152,bf16]>
tensor<[1152,1,5,5,bf16]>
tensor<[1,1,64,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (5760, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1152 : i32
in_channels: 1152 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 1152 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,1152,bf16]>
tensor<[192,1152,1,1,bf16]>
tensor<[1,1,64,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (221184, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1152 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,1152,bf16]>
tensor<[320,1152,1,1,bf16]>
tensor<[1,1,64,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (368640, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1152 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 320 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,116,bf16]>
tensor<[40,116,3,3,bf16]>
tensor<[1,1,196,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 * 3 + d2, d3), memory_config: (13920, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 116 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 40 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1184,bf16]>
tensor<[128,1184,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 37, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (151552, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1184 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1184,bf16]>
tensor<[128,1184,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 37, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (151552, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1184 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,118,bf16]>
tensor<[34,118,3,3,bf16]>
tensor<[1,1,784,34,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 354 + d1 * 3 + d2, d3), memory_config: (12036, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 118 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 34 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,120,bf16]>
tensor<[120,1,1,5,bf16]>
tensor<[1,1,196,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (120, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 120 : i32
in_channels: 120 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 5 : i32
out_channels: 120 : i32
padding_height: 0 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,120,bf16]>
tensor<[120,1,5,1,bf16]>
tensor<[1,1,196,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 120 : i32
in_channels: 120 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 5 : i32
kernel_width: 1 : i32
out_channels: 120 : i32
padding_height: 2 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,120,bf16]>
tensor<[720,120,1,1,bf16]>
tensor<[1,1,289,720,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (86400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 120 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 720 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,120,bf16]>
tensor<[32,120,1,1,bf16]>
tensor<[1,1,1,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (3840, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 120 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,120,bf16]>
tensor<[480,120,1,1,bf16]>
tensor<[1,1,1,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (57600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 120 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 480 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,120,bf16]>
tensor<[120,1,3,3,bf16]>
tensor<[1,1,784,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (360, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 120 : i32
in_channels: 120 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 120 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,120,bf16]>
tensor<[120,1,5,5,bf16]>
tensor<[1,1,784,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (600, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 120 : i32
in_channels: 120 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 120 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,120,bf16]>
tensor<[20,120,1,1,bf16]>
tensor<[1,1,784,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (2400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 120 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 20 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,120,bf16]>
tensor<[40,120,1,1,bf16]>
tensor<[1,1,784,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 120 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1600,120,f32]>
tensor<[120,1,5,5,f32]>
tensor<[1,1,1600,120,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (600, 5, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 120 : i32
in_channels: 120 : i32
input_height: 40 : i32
input_width: 40 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 120 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1600,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,1600,120,f32]>
tensor<[40,120,1,1,f32]>
tensor<[1,1,1600,40,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4800, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 120 : i32
input_height: 40 : i32
input_width: 40 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1600,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1216,bf16]>
tensor<[128,1216,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 38, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (155648, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1216 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1216,bf16]>
tensor<[128,1216,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 38, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (155648, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1216 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,122,bf16]>
tensor<[46,122,3,3,bf16]>
tensor<[1,1,784,46,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 366 + d1 * 3 + d2, d3), memory_config: (16836, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 122 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 46 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1248,bf16]>
tensor<[128,1248,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 39, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (159744, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1248 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1248,bf16]>
tensor<[128,1248,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 39, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (159744, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1248 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,81,1248,bf16]>
tensor<[1248,1,3,3,bf16]>
tensor<[1,1,81,1248,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (3744, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1248 : i32
in_channels: 1248 : i32
input_height: 9 : i32
input_width: 9 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1248 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,81,1248,bf16]>
tensor<[1248,1,5,5,bf16]>
tensor<[1,1,81,1248,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (6240, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1248 : i32
in_channels: 1248 : i32
input_height: 9 : i32
input_width: 9 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 1248 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,81,1248,bf16]>
tensor<[208,1248,1,1,bf16]>
tensor<[1,1,81,208,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (259584, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1248 : i32
input_height: 9 : i32
input_width: 9 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 208 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,81,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,81,1248,bf16]>
tensor<[352,1248,1,1,bf16]>
tensor<[1,1,81,352,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (439296, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 352, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1248 : i32
input_height: 9 : i32
input_width: 9 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 352 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,81,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 352, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,124,bf16]>
tensor<[128,124,1,1,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 124 + d1 + d2, d3), memory_config: (15872, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 124 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1280,bf16]>
tensor<[128,1280,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (163840, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,1280,bf16]>
tensor<[1280,1280,1,1,bf16]>
tensor<[1,1,256,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (1638400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,1280,bf16]>
tensor<[1280,1280,3,3,bf16]>
tensor<[1,1,256,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 3 + d2, d3), memory_config: (4915200, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1280 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,1280,bf16]>
tensor<[1280,1280,3,3,bf16]>
tensor<[1,1,64,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 3 + d2, d3), memory_config: (4915200, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1280 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1200,1280,bf16]>
tensor<[1280,1,3,3,bf16]>
tensor<[1,1,1200,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (3840, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1280 : i32
in_channels: 1280 : i32
input_height: 30 : i32
input_width: 40 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1280 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1200,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,1280,bf16]>
tensor<[1280,1280,3,3,bf16]>
tensor<[1,1,1024,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 3 + d2, d3), memory_config: (4915200, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1280 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,1280,bf16]>
tensor<[640,1280,1,1,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (819200, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 640 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,1280,bf16]>
tensor<[640,1280,3,3,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 3 + d2, d3), memory_config: (2457600, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 640 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1280,bf16]>
tensor<[128,1280,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (163840, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1280,bf16]>
tensor<[512,1280,1,1,bf16]>
tensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (655360, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,1280,bf16]>
tensor<[1280,1280,1,1,bf16]>
tensor<[1,1,64,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (1638400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,1280,bf16]>
tensor<[1280,1280,3,3,bf16]>
tensor<[1,1,64,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 3 + d2, d3), memory_config: (4915200, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1280 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1280 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,12544,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,12544,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,19200,128,bf16]>
tensor<[64,128,3,3,bf16]>
tensor<[1,1,19200,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 120 : i32
input_width: 160 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,128,bf16]>
tensor<[128,1,3,3,bf16]>
tensor<[1,1,16384,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (384, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 128 : i32
in_channels: 128 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,128,bf16]>
tensor<[256,128,3,3,bf16]>
tensor<[1,1,4096,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,128,bf16]>
tensor<[64,128,1,1,bf16]>
tensor<[1,1,16384,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (8192, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,128,bf16]>
tensor<[64,128,3,3,bf16]>
tensor<[1,1,16384,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,128,bf16]>
tensor<[256,128,1,1,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,128,bf16]>
tensor<[256,128,3,3,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,128,bf16]>
tensor<[32,128,3,3,bf16]>
tensor<[1,1,196,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,128,bf16]>
tensor<[512,128,1,1,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22500,128,bf16]>
tensor<[128,128,1,1,bf16]>
tensor<[1,1,22500,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 150 : i32
input_width: 150 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22500,128,bf16]>
tensor<[128,1,3,3,bf16]>
tensor<[1,1,22500,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (384, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 128 : i32
in_channels: 128 : i32
input_height: 150 : i32
input_width: 150 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22500,128,bf16]>
tensor<[128,1,3,3,bf16]>
tensor<[1,1,5625,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (384, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 128 : i32
in_channels: 128 : i32
input_height: 150 : i32
input_width: 150 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,57600,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,14400,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 180 : i32
input_width: 320 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,128,f32]>
tensor<[128,1,3,3,f32]>
tensor<[1,1,1,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (384, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 128 : i32
in_channels: 128 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,128,f32]>
tensor<[24,128,1,1,f32]>
tensor<[1,1,1,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (3072, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,128,f32]>
tensor<[546,128,1,1,f32]>
tensor<[1,1,1,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (69888, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 546, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 546 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 546, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,128,bf16]>
tensor<[64,128,3,3,bf16]>
tensor<[1,1,50176,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[128,128,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[128,128,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 2 : i32
dilation_width: 2 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[128,1,3,3,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (384, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 128 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[16,128,3,3,bf16]>
tensor<[1,1,784,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[192,128,3,3,bf16]>
tensor<[1,1,784,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (73728, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 192 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[19,128,1,1,bf16]>
tensor<[1,1,784,19,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (2432, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 19 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[256,128,1,1,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[256,128,1,1,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[256,128,3,3,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[32,128,3,3,bf16]>
tensor<[1,1,784,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[38,128,1,1,bf16]>
tensor<[1,1,784,38,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 38 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[512,128,1,1,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,128,bf16]>
tensor<[512,128,1,1,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4,128,f32]>
tensor<[256,128,1,1,f32]>
tensor<[1,1,4,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (32768, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 2 : i32
input_width: 2 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,1200,128,bf16]>
tensor<[64,128,3,3,bf16]>
tensor<[1,1,1200,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 30 : i32
input_width: 40 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,128,bf16]>
tensor<[128,128,1,1,bf16]>
tensor<[1,1,1024,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,1024,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,128,bf16]>
tensor<[256,128,3,3,bf16]>
tensor<[1,1,1024,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9,128,f32]>
tensor<[128,1,3,3,f32]>
tensor<[1,1,4,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (384, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 128, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 128 : i32
in_channels: 128 : i32
input_height: 3 : i32
input_width: 3 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,4,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 128, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,9,128,f32]>
tensor<[256,128,1,1,f32]>
tensor<[1,1,9,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (32768, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 3 : i32
input_width: 3 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[128,128,1,1,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[128,1,3,3,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (384, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 128 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[128,1,3,3,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (384, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 128 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[256,128,1,1,bf16]>
tensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[256,128,3,3,bf16]>
tensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[256,128,3,3,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[256,128,3,3,bf16]>
tensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[32,128,3,3,bf16]>
tensor<[1,1,3136,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,128,bf16]>
tensor<[64,128,1,1,bf16]>
tensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (8192, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,25,128,f32]>
tensor<[128,1,3,3,f32]>
tensor<[1,1,9,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (384, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 128 : i32
in_channels: 128 : i32
input_height: 5 : i32
input_width: 5 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,4800,128,bf16]>
tensor<[128,128,4,4,bf16]>
tensor<[1,1,300,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 4 + d2, d3), memory_config: (65536, 4, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 60 : i32
input_width: 80 : i32
kernel_height: 4 : i32
kernel_width: 4 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 4 : i32
stride_width: 4 : i32
tensor<[1,1,300,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4800,128,bf16]>
tensor<[320,128,3,3,bf16]>
tensor<[1,1,1200,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (122880, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 60 : i32
input_width: 80 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 320 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1200,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4800,128,bf16]>
tensor<[64,128,1,1,bf16]>
tensor<[1,1,4800,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (8192, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 60 : i32
input_width: 80 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4800,128,bf16]>
tensor<[64,128,3,3,bf16]>
tensor<[1,1,4800,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 60 : i32
input_width: 80 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,128,bf16]>
tensor<[128,128,1,1,bf16]>
tensor<[1,1,4096,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,4096,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,1024,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,128,bf16]>
tensor<[255,128,1,1,bf16]>
tensor<[1,1,4096,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (32640, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 255 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,128,bf16]>
tensor<[256,128,3,3,bf16]>
tensor<[1,1,4096,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,128,bf16]>
tensor<[256,128,3,3,bf16]>
tensor<[1,1,1024,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,128,bf16]>
tensor<[64,128,1,1,bf16]>
tensor<[1,1,4096,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (8192, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,128,bf16]>
tensor<[128,128,1,1,bf16]>
tensor<[1,1,5625,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,128,bf16]>
tensor<[128,1,3,3,bf16]>
tensor<[1,1,5625,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (384, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 128 : i32
in_channels: 128 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,128,bf16]>
tensor<[256,128,1,1,bf16]>
tensor<[1,1,5625,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,128,bf16]>
tensor<[32,128,3,3,bf16]>
tensor<[1,1,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14400,128,bf16]>
tensor<[128,128,3,3,bf16]>
tensor<[1,1,14400,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (49152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 90 : i32
input_width: 160 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14400,128,bf16]>
tensor<[512,128,1,1,bf16]>
tensor<[1,1,14400,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 128 : i32
input_height: 90 : i32
input_width: 160 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,14400,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,12,bf16]>
tensor<[12,1,3,3,bf16]>
tensor<[1,1,3136,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (36, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 12 : i32
in_channels: 12 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 12 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1312,bf16]>
tensor<[128,1312,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 41, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (167936, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1312 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1312,bf16]>
tensor<[128,1312,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 41, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (167936, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1312 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1344,bf16]>
tensor<[128,1344,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (172032, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1344 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1344,bf16]>
tensor<[1344,1344,1,1,bf16]>
tensor<[1,1,196,1344,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (1806336, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1344 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1344 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1344,bf16]>
tensor<[1344,168,3,3,bf16]>
tensor<[1,1,196,1344,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 3 + d2, d3), memory_config: (677376, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 8 : i32
in_channels: 1344 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1344 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1344,bf16]>
tensor<[2520,1344,1,1,bf16]>
tensor<[1,1,196,2520,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (3386880, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2520, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1344 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2520 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2520, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1344,bf16]>
tensor<[2520,1344,1,1,bf16]>
tensor<[1,1,49,2520,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (3386880, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1344 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2520 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,1344,bf16]>
tensor<[1344,168,3,3,bf16]>
tensor<[1,1,196,1344,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 42, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 3 + d2, d3), memory_config: (677376, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 8 : i32
in_channels: 1344 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1344 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1344,bf16]>
tensor<[128,1344,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 42, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (172032, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1344 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,136,bf16]>
tensor<[816,136,1,1,bf16]>
tensor<[1,1,361,816,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 + d2, d3), memory_config: (110976, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 136 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 816 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1376,bf16]>
tensor<[128,1376,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 43, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (176128, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1376 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1376,bf16]>
tensor<[128,1376,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 43, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (176128, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1376 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,1392,bf16]>
tensor<[1392,1,3,3,bf16]>
tensor<[1,1,100,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (4176, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1392 : i32
in_channels: 1392 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1392 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,1392,bf16]>
tensor<[1392,1,5,5,bf16]>
tensor<[1,1,100,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (6960, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1392 : i32
in_channels: 1392 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 1392 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,1392,bf16]>
tensor<[232,1392,1,1,bf16]>
tensor<[1,1,100,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (322944, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1392 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 232 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,1392,bf16]>
tensor<[384,1392,1,1,bf16]>
tensor<[1,1,100,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (534528, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 384, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1392 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 384 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 384, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1392,bf16]>
tensor<[1392,1392,1,1,bf16]>
tensor<[1,1,196,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (1937664, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1392 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1392 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1392,bf16]>
tensor<[1392,232,3,3,bf16]>
tensor<[1,1,196,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 3 + d2, d3), memory_config: (968832, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 6 : i32
in_channels: 1392 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1392 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1392,bf16]>
tensor<[3712,1392,1,1,bf16]>
tensor<[1,1,196,3712,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (5167104, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 3712, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1392 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 3712 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 3712, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1392,bf16]>
tensor<[3712,1392,1,1,bf16]>
tensor<[1,1,49,3712,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (5167104, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1392 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 3712 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,1392,bf16]>
tensor<[174,1392,1,1,bf16]>
tensor<[1,1,1,174,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (242208, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1392 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 174 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,1392,bf16]>
tensor<[348,1392,1,1,bf16]>
tensor<[1,1,1,348,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (484416, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1392 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 348 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,1392,bf16]>
tensor<[1392,232,3,3,bf16]>
tensor<[1,1,196,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 3 + d2, d3), memory_config: (968832, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 6 : i32
in_channels: 1392 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1392 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1408,bf16]>
tensor<[128,1408,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (180224, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1408 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1408,bf16]>
tensor<[128,1408,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 44, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (180224, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1408 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,142,bf16]>
tensor<[68,142,3,3,bf16]>
tensor<[1,1,3136,68,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 426 + d1 * 3 + d2, d3), memory_config: (28968, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 68, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 142 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 68 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 68, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1440,bf16]>
tensor<[128,1440,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 45, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (184320, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1440 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1440,bf16]>
tensor<[1024,1440,1,1,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 45, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (1474560, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1440 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1440,bf16]>
tensor<[128,1440,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 45, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (184320, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1440 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,144,bf16]>
tensor<[288,144,3,3,bf16]>
tensor<[1,1,196,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 3 + d2, d3), memory_config: (124416, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 288, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 288 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 288, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22801,144,bf16]>
tensor<[144,1,3,3,bf16]>
tensor<[1,1,5625,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22801 + d1 * 22801 + d2, d3), memory_config: (713, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 144 : i32
in_channels: 144 : i32
input_height: 151 : i32
input_width: 151 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,5625,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,36481,144,bf16]>
tensor<[144,1,3,3,bf16]>
tensor<[1,1,9025,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36481 + d1 * 36481 + d2, d3), memory_config: (1141, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 144 : i32
in_channels: 144 : i32
input_height: 191 : i32
input_width: 191 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,9025,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,144,bf16]>
tensor<[28,144,3,3,bf16]>
tensor<[1,1,784,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 3 + d2, d3), memory_config: (12096, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 28 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,144,bf16]>
tensor<[32,144,1,1,bf16]>
tensor<[1,1,784,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (4608, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,144,bf16]>
tensor<[40,144,1,1,bf16]>
tensor<[1,1,784,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5760, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,900,144,bf16]>
tensor<[40,144,1,1,bf16]>
tensor<[1,1,900,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 900 + d2, d3), memory_config: (29, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5760, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 30 : i32
input_width: 30 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,900,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1089,144,bf16]>
tensor<[48,144,1,1,bf16]>
tensor<[1,1,1089,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 1089 + d2, d3), memory_config: (35, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (6912, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 33 : i32
input_width: 33 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 48 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1089,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,144,bf16]>
tensor<[144,1,3,3,bf16]>
tensor<[1,1,3136,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 144 : i32
in_channels: 144 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 144 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,144,bf16]>
tensor<[144,1,3,3,bf16]>
tensor<[1,1,784,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 144 : i32
in_channels: 144 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 144 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,144,bf16]>
tensor<[24,144,1,1,bf16]>
tensor<[1,1,3136,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (3456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3481,144,bf16]>
tensor<[144,1,5,5,bf16]>
tensor<[1,1,784,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3481 + d1 * 3481 + d2, d3), memory_config: (109, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (720, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 144 : i32
in_channels: 144 : i32
input_height: 59 : i32
input_width: 59 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3600,144,bf16]>
tensor<[144,1,3,3,bf16]>
tensor<[1,1,3600,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 144 : i32
in_channels: 144 : i32
input_height: 60 : i32
input_width: 60 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 144 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3600,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3600,144,bf16]>
tensor<[24,144,1,1,bf16]>
tensor<[1,1,3600,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (3456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 60 : i32
input_width: 60 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3600,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3969,144,bf16]>
tensor<[144,1,5,5,bf16]>
tensor<[1,1,900,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3969 + d1 * 3969 + d2, d3), memory_config: (125, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (720, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 144 : i32
in_channels: 144 : i32
input_height: 63 : i32
input_width: 63 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,900,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4225,144,bf16]>
tensor<[144,1,3,3,bf16]>
tensor<[1,1,4225,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 4225 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 144 : i32
in_channels: 144 : i32
input_height: 65 : i32
input_width: 65 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 144 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4225,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4225,144,bf16]>
tensor<[24,144,1,1,bf16]>
tensor<[1,1,4225,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 4225 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (3456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 65 : i32
input_width: 65 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4225,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4761,144,bf16]>
tensor<[144,1,5,5,bf16]>
tensor<[1,1,1089,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4761 + d1 * 4761 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (720, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 144 : i32
in_channels: 144 : i32
input_height: 69 : i32
input_width: 69 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1089,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,144,bf16]>
tensor<[32,144,1,1,bf16]>
tensor<[1,1,5625,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (4608, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5625,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,144,bf16]>
tensor<[1024,144,1,1,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (147456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,144,bf16]>
tensor<[144,144,3,3,bf16]>
tensor<[1,1,49,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 3 + d2, d3), memory_config: (62208, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 144 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,144,bf16]>
tensor<[18,144,1,1,bf16]>
tensor<[1,1,49,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (2592, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 18, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 18 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 18, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,144,bf16]>
tensor<[256,144,1,1,bf16]>
tensor<[1,1,49,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (36864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,144,bf16]>
tensor<[36,144,1,1,bf16]>
tensor<[1,1,49,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5184, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 36, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 36 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 36, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,144,bf16]>
tensor<[72,144,1,1,bf16]>
tensor<[1,1,49,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (10368, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 72 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9025,144,bf16]>
tensor<[32,144,1,1,bf16]>
tensor<[1,1,9025,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 9025 + d2, d3), memory_config: (283, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (4608, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 144 : i32
input_height: 95 : i32
input_width: 95 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9025,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1472,bf16]>
tensor<[128,1472,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 46, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (188416, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1472 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1472,bf16]>
tensor<[128,1472,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 46, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (188416, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1472 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1504,bf16]>
tensor<[128,1504,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 47, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (192512, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1504 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1504,bf16]>
tensor<[128,1504,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 47, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (192512, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1504 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,152,bf16]>
tensor<[58,152,3,3,bf16]>
tensor<[1,1,784,58,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 456 + d1 * 3 + d2, d3), memory_config: (26448, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 152 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 58 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,1536,bf16]>
tensor<[1536,1536,1,1,bf16]>
tensor<[1,1,100,1536,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (2359296, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1536 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1536 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,1536,bf16]>
tensor<[1536,1,3,3,bf16]>
tensor<[1,1,100,1536,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (4608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1536 : i32
in_channels: 1536 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1536 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,1536,bf16]>
tensor<[2048,1536,1,1,bf16]>
tensor<[1,1,100,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (3145728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1536 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2048 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1536,bf16]>
tensor<[128,1536,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (196608, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1536 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1536,bf16]>
tensor<[128,1536,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (196608, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1536 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,1536,bf16]>
tensor<[256,1536,1,1,bf16]>
tensor<[1,1,64,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (393216, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1536 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,1536,bf16]>
tensor<[384,1536,1,1,bf16]>
tensor<[1,1,64,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (589824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 384, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1536 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 384 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 384, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1568,bf16]>
tensor<[128,1568,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 49, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (200704, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1568 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1568,bf16]>
tensor<[128,1568,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 49, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (200704, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1568 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,156,bf16]>
tensor<[68,156,3,3,bf16]>
tensor<[1,1,196,68,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 468 + d1 * 3 + d2, d3), memory_config: (31824, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 156 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 68 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1600,bf16]>
tensor<[128,1600,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 50, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (204800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1600 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1600,bf16]>
tensor<[128,1600,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 50, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (204800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1600 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,160,bf16]>
tensor<[320,160,3,3,bf16]>
tensor<[1,1,196,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 3 + d2, d3), memory_config: (153600, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 320 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,576,160,bf16]>
tensor<[960,160,1,1,bf16]>
tensor<[1,1,576,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (153600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 24 : i32
input_width: 24 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 960 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,576,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,160,bf16]>
tensor<[128,160,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (20480, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,160,bf16]>
tensor<[160,160,1,1,bf16]>
tensor<[1,1,784,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (25600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,160,bf16]>
tensor<[160,1,3,3,bf16]>
tensor<[1,1,784,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (480, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 160 : i32
in_channels: 160 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 160 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,160,bf16]>
tensor<[160,160,2,2,bf16]>
tensor<[1,1,256,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 2 + d2, d3), memory_config: (51200, 2, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 2 : i32
kernel_width: 2 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,256,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,160,bf16]>
tensor<[256,160,3,3,bf16]>
tensor<[1,1,256,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 3 + d2, d3), memory_config: (122880, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9,160,bf16]>
tensor<[960,160,1,1,bf16]>
tensor<[1,1,9,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (153600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 3 : i32
input_width: 3 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 960 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,160,bf16]>
tensor<[128,160,1,1,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (20480, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5329,160,bf16]>
tensor<[64,160,1,1,bf16]>
tensor<[1,1,5329,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (167, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (10240, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 73 : i32
input_width: 73 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,160,bf16]>
tensor<[320,160,3,3,bf16]>
tensor<[1,1,49,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 3 + d2, d3), memory_config: (153600, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 320 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,160,bf16]>
tensor<[480,160,1,1,bf16]>
tensor<[1,1,49,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (76800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 480 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,160,bf16]>
tensor<[960,160,1,1,bf16]>
tensor<[1,1,49,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (153600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 160 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 960 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,144,1632,bf16]>
tensor<[1632,1,3,3,bf16]>
tensor<[1,1,144,1632,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (4896, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1632 : i32
in_channels: 1632 : i32
input_height: 12 : i32
input_width: 12 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1632 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,144,1632,bf16]>
tensor<[1632,1,5,5,bf16]>
tensor<[1,1,144,1632,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (8160, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1632 : i32
in_channels: 1632 : i32
input_height: 12 : i32
input_width: 12 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 1632 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,144,1632,bf16]>
tensor<[272,1632,1,1,bf16]>
tensor<[1,1,144,272,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (443904, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1632 : i32
input_height: 12 : i32
input_width: 12 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 272 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,144,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,144,1632,bf16]>
tensor<[448,1632,1,1,bf16]>
tensor<[1,1,144,448,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (731136, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 448, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1632 : i32
input_height: 12 : i32
input_width: 12 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 448 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,144,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 448, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1632,bf16]>
tensor<[128,1632,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 51, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (208896, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1632 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1632,bf16]>
tensor<[128,1632,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 51, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (208896, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1632 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1664,bf16]>
tensor<[128,1664,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 52, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (212992, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1664 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1664,bf16]>
tensor<[128,1664,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 52, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (212992, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1664 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,168,bf16]>
tensor<[672,168,1,1,bf16]>
tensor<[1,1,1,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (112896, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 168 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1696,bf16]>
tensor<[128,1696,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 53, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (217088, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1696 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1696,bf16]>
tensor<[128,1696,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 53, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (217088, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1696 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,16,bf16]>
tensor<[16,16,1,1,bf16]>
tensor<[1,1,12544,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (256, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 16 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,16,bf16]>
tensor<[16,1,3,3,bf16]>
tensor<[1,1,12544,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (48, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 16 : i32
in_channels: 16 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,16,bf16]>
tensor<[16,1,3,3,bf16]>
tensor<[1,1,3136,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (48, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 16 : i32
in_channels: 16 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,16,bf16]>
tensor<[24,16,1,1,bf16]>
tensor<[1,1,12544,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,16,bf16]>
tensor<[64,16,1,1,bf16]>
tensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1024, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,16,bf16]>
tensor<[8,16,1,1,bf16]>
tensor<[1,1,12544,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (128, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 8 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,16,bf16]>
tensor<[96,16,1,1,bf16]>
tensor<[1,1,12544,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14400,16,bf16]>
tensor<[96,16,1,1,bf16]>
tensor<[1,1,14400,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 120 : i32
input_width: 120 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,14400,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16900,16,bf16]>
tensor<[96,16,1,1,bf16]>
tensor<[1,1,16900,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 16900 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 130 : i32
input_width: 130 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16900,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,16,bf16]>
tensor<[48,16,3,3,bf16]>
tensor<[1,1,196,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (2304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 48, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 48 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 48, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,16,bf16]>
tensor<[4,16,3,3,bf16]>
tensor<[1,1,196,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (192, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 4, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 4 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 4, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,25600,16,f32]>
tensor<[16,16,1,1,f32]>
tensor<[1,1,25600,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 25600 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (256, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 160 : i32
input_width: 160 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 16 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,25600,16,f32]>
tensor<[16,1,3,3,f32]>
tensor<[1,1,25600,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 25600 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (48, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 16 : i32
in_channels: 16 : i32
input_height: 160 : i32
input_width: 160 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,25600,16,f32]>
tensor<[64,16,1,1,f32]>
tensor<[1,1,25600,64,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 25600 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1024, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 64, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 160 : i32
input_width: 160 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,25600,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 64, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,16,bf16]>
tensor<[16,16,3,3,bf16]>
tensor<[1,1,50176,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (768, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,50176,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,16,bf16]>
tensor<[32,16,3,3,bf16]>
tensor<[1,1,12544,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (1536, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,16,bf16]>
tensor<[32,16,3,3,bf16]>
tensor<[1,1,784,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (1536, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,16,bf16]>
tensor<[24,16,1,1,bf16]>
tensor<[1,1,3136,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 16 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1728,bf16]>
tensor<[128,1728,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 54, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (221184, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1728 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1728,bf16]>
tensor<[128,1728,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 54, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (221184, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1728 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,172,bf16]>
tensor<[46,172,3,3,bf16]>
tensor<[1,1,784,46,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 516 + d1 * 3 + d2, d3), memory_config: (23736, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 172 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 46 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,174,bf16]>
tensor<[1392,174,1,1,bf16]>
tensor<[1,1,1,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (242208, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 174 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1392 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,174,bf16]>
tensor<[696,174,1,1,bf16]>
tensor<[1,1,1,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (121104, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 174 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 696 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1760,bf16]>
tensor<[128,1760,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 55, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (225280, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1760 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1760,bf16]>
tensor<[128,1760,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 55, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (225280, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1760 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,1792,bf16]>
tensor<[896,1792,1,1,bf16]>
tensor<[1,1,196,896,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 56, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (1605632, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 896, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1792 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 896 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 896, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1792,bf16]>
tensor<[128,1792,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 56, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (229376, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1792 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1824,bf16]>
tensor<[128,1824,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 57, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 + d2, d3), memory_config: (233472, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1824 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,184,bf16]>
tensor<[184,1,3,3,bf16]>
tensor<[1,1,196,184,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (552, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 184 : i32
in_channels: 184 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 184 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,184,bf16]>
tensor<[40,184,1,1,bf16]>
tensor<[1,1,196,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (7360, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 184 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,184,bf16]>
tensor<[80,184,1,1,bf16]>
tensor<[1,1,196,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (14720, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 184 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,184,f32]>
tensor<[184,1,3,3,f32]>
tensor<[1,1,400,184,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (552, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 184 : i32
in_channels: 184 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 184 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,184,f32]>
tensor<[80,184,1,1,f32]>
tensor<[1,1,400,80,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (14720, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 184 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,184,bf16]>
tensor<[184,1,1,5,bf16]>
tensor<[1,1,49,184,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (184, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 184 : i32
in_channels: 184 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 5 : i32
out_channels: 184 : i32
padding_height: 0 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,184,bf16]>
tensor<[184,1,5,1,bf16]>
tensor<[1,1,49,184,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (920, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 184 : i32
in_channels: 184 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 5 : i32
kernel_width: 1 : i32
out_channels: 184 : i32
padding_height: 2 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1856,bf16]>
tensor<[128,1856,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 58, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1856 + d1 + d2, d3), memory_config: (237568, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1856 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,185,bf16]>
tensor<[128,185,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 185 + d1 + d2, d3), memory_config: (23680, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 185 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,1888,bf16]>
tensor<[128,1888,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 59, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1888 + d1 + d2, d3), memory_config: (241664, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1888 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,18,bf16]>
tensor<[144,18,3,3,bf16]>
tensor<[1,1,49,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 3 + d2, d3), memory_config: (7776, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 18 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 144 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,18,bf16]>
tensor<[18,18,3,3,bf16]>
tensor<[1,1,196,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 3 + d2, d3), memory_config: (972, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 18 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 18 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,18,bf16]>
tensor<[72,18,3,3,bf16]>
tensor<[1,1,196,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 3 + d2, d3), memory_config: (3888, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 18 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 72 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,18,bf16]>
tensor<[128,18,1,1,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (2304, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 18 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,18,bf16]>
tensor<[18,18,3,3,bf16]>
tensor<[1,1,3136,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 3 + d2, d3), memory_config: (972, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 18 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 18 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,18,bf16]>
tensor<[18,18,3,3,bf16]>
tensor<[1,1,784,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 3 + d2, d3), memory_config: (972, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 18 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 18 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,18,bf16]>
tensor<[32,18,1,1,bf16]>
tensor<[1,1,3136,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 18 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,18,bf16]>
tensor<[36,18,3,3,bf16]>
tensor<[1,1,784,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 3 + d2, d3), memory_config: (1944, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 18 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 36 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,1920,bf16]>
tensor<[1280,1920,1,1,bf16]>
tensor<[1,1,256,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 60, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (2457600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1920 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,1920,bf16]>
tensor<[1280,1920,3,3,bf16]>
tensor<[1,1,256,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 60, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 3 + d2, d3), memory_config: (7372800, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1920 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1280 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,1920,bf16]>
tensor<[640,1920,1,1,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 60, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (1228800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1920 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 640 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,1920,bf16]>
tensor<[640,1920,3,3,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 60, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 3 + d2, d3), memory_config: (3686400, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1920 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 640 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,192,bf16]>
tensor<[192,192,1,1,bf16]>
tensor<[1,1,196,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (36864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,192,bf16]>
tensor<[192,1,3,3,bf16]>
tensor<[1,1,196,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 192 : i32
in_channels: 192 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 192 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,192,bf16]>
tensor<[64,192,1,1,bf16]>
tensor<[1,1,196,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,192,bf16]>
tensor<[192,192,3,3,bf16]>
tensor<[1,1,64,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 3 + d2, d3), memory_config: (110592, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,64,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,192,bf16]>
tensor<[192,192,7,1,bf16]>
tensor<[1,1,289,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (258048, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 7 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,192,bf16]>
tensor<[224,192,1,7,bf16]>
tensor<[1,1,289,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (43008, 7, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 7 : i32
out_channels: 224 : i32
padding_height: 0 : i32
padding_width: 3 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,192,bf16]>
tensor<[128,192,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (24576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,192,bf16]>
tensor<[16,192,1,1,bf16]>
tensor<[1,1,784,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (3072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 16 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,192,bf16]>
tensor<[192,1,3,3,bf16]>
tensor<[1,1,784,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 192 : i32
in_channels: 192 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 192 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,192,bf16]>
tensor<[192,1,3,3,bf16]>
tensor<[1,1,196,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 192 : i32
in_channels: 192 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 192 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,192,bf16]>
tensor<[32,192,1,1,bf16]>
tensor<[1,1,784,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,192,bf16]>
tensor<[64,192,1,1,bf16]>
tensor<[1,1,784,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,192,bf16]>
tensor<[96,192,1,1,bf16]>
tensor<[1,1,784,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (18432, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1225,192,bf16]>
tensor<[224,192,3,3,bf16]>
tensor<[1,1,1225,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 3 + d2, d3), memory_config: (129024, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 224, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 35 : i32
input_width: 35 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 224 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1225,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 224, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,192,bf16]>
tensor<[48,192,1,1,bf16]>
tensor<[1,1,1444,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (9216, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 48 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1444,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,2304,192,bf16]>
tensor<[56,192,1,1,bf16]>
tensor<[1,1,2304,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 2304 + d2, d3), memory_config: (72, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (10752, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 48 : i32
input_width: 48 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 56 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,2304,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,192,bf16]>
tensor<[128,192,1,1,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (24576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5041,192,bf16]>
tensor<[192,192,3,3,bf16]>
tensor<[1,1,1225,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 5041 + d2, d3), memory_config: (158, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 3 + d2, d3), memory_config: (110592, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 71 : i32
input_width: 71 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,192,bf16]>
tensor<[192,1,3,3,bf16]>
tensor<[1,1,5625,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 192 : i32
in_channels: 192 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 192 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5625,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,192,bf16]>
tensor<[32,192,1,1,bf16]>
tensor<[1,1,5625,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5625,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,6241,192,bf16]>
tensor<[192,1,5,5,bf16]>
tensor<[1,1,1444,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6241 + d1 * 6241 + d2, d3), memory_config: (196, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (960, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 192 : i32
in_channels: 192 : i32
input_height: 79 : i32
input_width: 79 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1444,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,192,bf16]>
tensor<[1152,192,1,1,bf16]>
tensor<[1,1,49,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (221184, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1152 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,192,bf16]>
tensor<[384,192,3,3,bf16]>
tensor<[1,1,49,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 3 + d2, d3), memory_config: (221184, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 384 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,192,bf16]>
tensor<[1152,192,1,1,bf16]>
tensor<[1,1,64,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (221184, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1152 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9025,192,bf16]>
tensor<[192,1,3,3,bf16]>
tensor<[1,1,9025,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 9025 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 192 : i32
in_channels: 192 : i32
input_height: 95 : i32
input_width: 95 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 192 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9025,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9025,192,bf16]>
tensor<[32,192,1,1,bf16]>
tensor<[1,1,9025,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 9025 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 192 : i32
input_height: 95 : i32
input_width: 95 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9025,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9801,192,bf16]>
tensor<[192,1,5,5,bf16]>
tensor<[1,1,2304,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9801 + d1 * 9801 + d2, d3), memory_config: (307, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (960, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 192 : i32
in_channels: 192 : i32
input_height: 99 : i32
input_width: 99 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,2304,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,196,bf16]>
tensor<[40,196,3,3,bf16]>
tensor<[1,1,196,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 588 + d1 * 3 + d2, d3), memory_config: (23520, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 196 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 40 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,1,bf16]>
tensor<[16,1,3,3,bf16]>
tensor<[1,1,784,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (48, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,1,bf16]>
tensor<[32,1,3,3,bf16]>
tensor<[1,1,676,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (96, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 26 + d2, d3), memory_config: (676, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 1 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,676,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 26 + d2, d3), memory_config: (676, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,200,bf16]>
tensor<[200,1,3,3,bf16]>
tensor<[1,1,196,200,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (600, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 200 : i32
in_channels: 200 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 200 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,200,bf16]>
tensor<[40,200,1,1,bf16]>
tensor<[1,1,196,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (8000, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 200 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,200,bf16]>
tensor<[80,200,1,1,bf16]>
tensor<[1,1,196,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (16000, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 200 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,200,f32]>
tensor<[200,1,3,3,f32]>
tensor<[1,1,400,200,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (600, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 200 : i32
in_channels: 200 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 200 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,200,f32]>
tensor<[80,200,1,1,f32]>
tensor<[1,1,400,80,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (16000, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 200 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,200,bf16]>
tensor<[200,1,1,5,bf16]>
tensor<[1,1,49,200,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (200, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 200 : i32
in_channels: 200 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 5 : i32
out_channels: 200 : i32
padding_height: 0 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,200,bf16]>
tensor<[200,1,5,1,bf16]>
tensor<[1,1,49,200,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1000, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 200 : i32
in_channels: 200 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 5 : i32
kernel_width: 1 : i32
out_channels: 200 : i32
padding_height: 2 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,2048,bf16]>
tensor<[2048,32,3,3,bf16]>
tensor<[1,1,49,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 2048 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 2048 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,300,2048,bf16]>
tensor<[2048,1,3,3,bf16]>
tensor<[1,1,300,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 300 + d2, d3), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 2048 : i32
in_channels: 2048 : i32
input_height: 15 : i32
input_width: 20 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 2048 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,300,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,920,2048,bf16]>
tensor<[256,2048,1,1,bf16]>
tensor<[1,1,920,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 920 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (524288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 2048 : i32
input_height: 23 : i32
input_width: 40 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,920,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,920,2048,bf16]>
tensor<[512,2048,1,1,bf16]>
tensor<[1,1,920,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 920 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (1048576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 2048 : i32
input_height: 23 : i32
input_width: 40 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,2048,bf16]>
tensor<[1024,2048,1,1,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (2097152, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 2048 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,2048,bf16]>
tensor<[2048,2048,1,1,bf16]>
tensor<[1,1,49,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (4194304, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 2048 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2048 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,2048,bf16]>
tensor<[2048,32,3,3,bf16]>
tensor<[1,1,49,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 2048 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 2048 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,2048,bf16]>
tensor<[512,2048,1,1,bf16]>
tensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (1048576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 2048 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,81,208,bf16]>
tensor<[1248,208,1,1,bf16]>
tensor<[1,1,81,1248,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (259584, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 208 : i32
input_height: 9 : i32
input_width: 9 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1248 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,20,bf16]>
tensor<[72,20,1,1,bf16]>
tensor<[1,1,1,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1440, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 20 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 72 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,20,bf16]>
tensor<[20,1,3,3,bf16]>
tensor<[1,1,784,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (60, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 20 : i32
in_channels: 20 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 20 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,218,bf16]>
tensor<[78,218,3,3,bf16]>
tensor<[1,1,784,78,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 654 + d1 * 3 + d2, d3), memory_config: (51012, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 78, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 218 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 78 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 78, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,224,bf16]>
tensor<[224,224,7,1,bf16]>
tensor<[1,1,289,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (351232, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 224 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 7 : i32
kernel_width: 1 : i32
out_channels: 224 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,224,bf16]>
tensor<[256,224,1,7,bf16]>
tensor<[1,1,289,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (57344, 7, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 224 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 7 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 3 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,224,bf16]>
tensor<[256,224,7,1,bf16]>
tensor<[1,1,289,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (401408, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 224 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 7 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,224,bf16]>
tensor<[128,224,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (28672, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 224 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1225,224,bf16]>
tensor<[256,224,3,3,bf16]>
tensor<[1,1,289,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 3 + d2, d3), memory_config: (172032, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 224 : i32
input_height: 35 : i32
input_width: 35 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,224,bf16]>
tensor<[128,224,1,1,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (28672, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 224 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,224,bf16]>
tensor<[224,1,3,3,bf16]>
tensor<[1,1,49,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (672, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 224 : i32
in_channels: 224 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 224 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,224,bf16]>
tensor<[224,224,1,1,bf16]>
tensor<[1,1,49,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (50176, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 224 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 224 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,232,bf16]>
tensor<[1392,232,1,1,bf16]>
tensor<[1,1,100,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (322944, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 232 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1392 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,232,bf16]>
tensor<[232,232,3,3,bf16]>
tensor<[1,1,3136,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 3 + d2, d3), memory_config: (161472, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 232 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 232 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,232,bf16]>
tensor<[58,232,1,1,bf16]>
tensor<[1,1,1,58,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (13456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 232 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 58 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,232,bf16]>
tensor<[8,232,1,1,bf16]>
tensor<[1,1,1,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (1856, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 232 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 8 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,232,bf16]>
tensor<[232,232,1,1,bf16]>
tensor<[1,1,3136,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (53824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 232 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 232 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,232,bf16]>
tensor<[232,232,3,3,bf16]>
tensor<[1,1,3136,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 3 + d2, d3), memory_config: (161472, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 232 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 232 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,232,bf16]>
tensor<[696,232,1,1,bf16]>
tensor<[1,1,3136,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (161472, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 696, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 232 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 696 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 696, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,232,bf16]>
tensor<[696,232,1,1,bf16]>
tensor<[1,1,784,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (161472, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 232 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 696 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,236,bf16]>
tensor<[68,236,3,3,bf16]>
tensor<[1,1,196,68,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 708 + d1 * 3 + d2, d3), memory_config: (48144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 236 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 68 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,240,bf16]>
tensor<[240,1,1,5,bf16]>
tensor<[1,1,196,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (240, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 240 : i32
in_channels: 240 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 5 : i32
out_channels: 240 : i32
padding_height: 0 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,240,bf16]>
tensor<[240,1,3,3,bf16]>
tensor<[1,1,196,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (720, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 240 : i32
in_channels: 240 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 240 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,240,bf16]>
tensor<[240,1,5,1,bf16]>
tensor<[1,1,196,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1200, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 240 : i32
in_channels: 240 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 5 : i32
kernel_width: 1 : i32
out_channels: 240 : i32
padding_height: 2 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,240,bf16]>
tensor<[40,240,1,1,bf16]>
tensor<[1,1,196,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (9600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 240 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,240,bf16]>
tensor<[80,240,1,1,bf16]>
tensor<[1,1,196,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (19200, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 240 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,225,240,bf16]>
tensor<[80,240,1,1,bf16]>
tensor<[1,1,225,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (19200, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 240 : i32
input_height: 15 : i32
input_width: 15 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,225,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,240,bf16]>
tensor<[960,240,1,1,bf16]>
tensor<[1,1,1,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (230400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 960, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 240 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 960 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 960, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,240,f32]>
tensor<[80,240,1,1,f32]>
tensor<[1,1,400,80,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (19200, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 240 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,240,bf16]>
tensor<[240,1,3,3,bf16]>
tensor<[1,1,196,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (720, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 240 : i32
in_channels: 240 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 240 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,240,bf16]>
tensor<[240,1,5,5,bf16]>
tensor<[1,1,784,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1200, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 240 : i32
in_channels: 240 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 240 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,240,bf16]>
tensor<[40,240,1,1,bf16]>
tensor<[1,1,784,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (9600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 240 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,841,240,bf16]>
tensor<[240,1,3,3,bf16]>
tensor<[1,1,196,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 841 + d1 * 841 + d2, d3), memory_config: (27, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (720, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 240 : i32
in_channels: 240 : i32
input_height: 29 : i32
input_width: 29 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 240 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,900,240,bf16]>
tensor<[240,1,5,5,bf16]>
tensor<[1,1,900,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 900 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1200, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 240 : i32
in_channels: 240 : i32
input_height: 30 : i32
input_width: 30 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 240 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,900,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,900,240,bf16]>
tensor<[40,240,1,1,bf16]>
tensor<[1,1,900,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 900 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (9600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 240 : i32
input_height: 30 : i32
input_width: 30 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,900,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,961,240,bf16]>
tensor<[240,1,3,3,bf16]>
tensor<[1,1,225,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 961 + d1 * 961 + d2, d3), memory_config: (31, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (720, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 240 : i32
in_channels: 240 : i32
input_height: 31 : i32
input_width: 31 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 240 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,225,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1600,240,f32]>
tensor<[240,1,3,3,f32]>
tensor<[1,1,400,240,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (720, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 240, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 240 : i32
in_channels: 240 : i32
input_height: 40 : i32
input_width: 40 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 240 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,400,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 240, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,24,bf16]>
tensor<[24,1,3,3,bf16]>
tensor<[1,1,12544,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (72, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 24 : i32
in_channels: 24 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 24 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,24,bf16]>
tensor<[64,24,3,3,bf16]>
tensor<[1,1,196,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 3 + d2, d3), memory_config: (4608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22500,24,bf16]>
tensor<[144,24,1,1,bf16]>
tensor<[1,1,22500,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (3456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 150 : i32
input_width: 150 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,22500,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,36100,24,bf16]>
tensor<[144,24,1,1,bf16]>
tensor<[1,1,36100,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 36100 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (3456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 190 : i32
input_width: 190 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,36100,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,24,bf16]>
tensor<[72,24,1,1,bf16]>
tensor<[1,1,1,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 72 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,24,bf16]>
tensor<[40,24,1,1,bf16]>
tensor<[1,1,784,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (960, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,24,bf16]>
tensor<[72,24,1,1,bf16]>
tensor<[1,1,784,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 72 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,24,bf16]>
tensor<[144,24,1,1,bf16]>
tensor<[1,1,3136,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (3456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,24,bf16]>
tensor<[14,24,3,3,bf16]>
tensor<[1,1,3136,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 3 + d2, d3), memory_config: (1008, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 14 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,24,bf16]>
tensor<[24,1,5,5,bf16]>
tensor<[1,1,784,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (120, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 24 : i32
in_channels: 24 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 24 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,24,bf16]>
tensor<[36,24,1,1,bf16]>
tensor<[1,1,3136,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 36 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,24,bf16]>
tensor<[72,24,1,1,bf16]>
tensor<[1,1,3136,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 72 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3600,24,bf16]>
tensor<[144,24,1,1,bf16]>
tensor<[1,1,3600,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (3456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 60 : i32
input_width: 60 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3600,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4225,24,bf16]>
tensor<[144,24,1,1,bf16]>
tensor<[1,1,4225,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 4225 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (3456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 65 : i32
input_width: 65 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4225,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,6400,24,f32]>
tensor<[72,24,1,1,f32]>
tensor<[1,1,6400,72,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 6400 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1728, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 24 : i32
input_height: 80 : i32
input_width: 80 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 72 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,6400,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,2520,bf16]>
tensor<[2520,168,3,3,bf16]>
tensor<[1,1,49,2520,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 79, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 3 + d2, d3), memory_config: (1270080, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 15 : i32
in_channels: 2520 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 2520 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,2520,bf16]>
tensor<[2520,2520,1,1,bf16]>
tensor<[1,1,49,2520,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 79, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (6350400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 2520 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2520 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,2560,bf16]>
tensor<[1280,2560,1,1,bf16]>
tensor<[1,1,256,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 80, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (3276800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 2560 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,2560,bf16]>
tensor<[1280,2560,3,3,bf16]>
tensor<[1,1,256,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 80, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 3 + d2, d3), memory_config: (9830400, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 2560 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1280 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,2560,bf16]>
tensor<[1280,2560,1,1,bf16]>
tensor<[1,1,64,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 80, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (3276800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 2560 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,2560,bf16]>
tensor<[1280,2560,3,3,bf16]>
tensor<[1,1,64,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 80, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 3 + d2, d3), memory_config: (9830400, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 2560 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1280 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,256,f32]>
tensor<[256,1,3,3,f32]>
tensor<[1,1,25,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (768, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 256, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 256 : i32
in_channels: 256 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,25,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 256, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,256,bf16]>
tensor<[128,256,3,3,bf16]>
tensor<[1,1,12544,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,19200,256,bf16]>
tensor<[256,1,3,3,bf16]>
tensor<[1,1,19200,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (768, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 256 : i32
in_channels: 256 : i32
input_height: 120 : i32
input_width: 160 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,19200,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,256,bf16]>
tensor<[150,256,1,1,bf16]>
tensor<[1,1,16384,150,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (38400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 150, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 150 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 150, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,256,bf16]>
tensor<[1024,256,1,1,bf16]>
tensor<[1,1,196,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,256,bf16]>
tensor<[128,256,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,256,bf16]>
tensor<[512,256,1,1,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,256,bf16]>
tensor<[512,256,1,1,bf16]>
tensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,256,bf16]>
tensor<[512,256,3,3,bf16]>
tensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (393216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,256,bf16]>
tensor<[256,256,1,1,bf16]>
tensor<[1,1,256,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,256,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,256,bf16]>
tensor<[512,256,3,3,bf16]>
tensor<[1,1,256,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (393216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,256,bf16]>
tensor<[256,256,1,7,bf16]>
tensor<[1,1,289,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65536, 7, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 7 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 3 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,256,bf16]>
tensor<[320,256,7,1,bf16]>
tensor<[1,1,289,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (573440, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 7 : i32
kernel_width: 1 : i32
out_channels: 320 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,57600,256,bf16]>
tensor<[128,256,1,1,bf16]>
tensor<[1,1,57600,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 180 : i32
input_width: 320 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,57600,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,57600,256,bf16]>
tensor<[512,256,1,1,bf16]>
tensor<[1,1,14400,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 180 : i32
input_width: 320 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,14400,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,57600,256,bf16]>
tensor<[64,256,1,1,bf16]>
tensor<[1,1,57600,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 180 : i32
input_width: 320 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,256,bf16]>
tensor<[256,256,1,1,bf16]>
tensor<[1,1,1,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[128,256,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[160,256,1,1,bf16]>
tensor<[1,1,784,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (40960, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[20,256,3,3,bf16]>
tensor<[1,1,784,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (15360, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 20 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[256,1,3,3,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (768, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 256 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[256,1,3,3,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (768, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 256 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[256,256,1,1,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[32,256,1,1,bf16]>
tensor<[1,1,784,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8192, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[512,256,1,1,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[512,256,3,3,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (393216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[512,256,3,3,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (393216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[512,256,3,3,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (393216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,256,bf16]>
tensor<[64,256,1,1,bf16]>
tensor<[1,1,784,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4,256,f32]>
tensor<[24,256,1,1,f32]>
tensor<[1,1,4,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (6144, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 24, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 2 : i32
input_width: 2 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 24, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,4,256,f32]>
tensor<[256,1,3,3,f32]>
tensor<[1,1,4,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (768, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 256 : i32
in_channels: 256 : i32
input_height: 2 : i32
input_width: 2 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,4,256,f32]>
tensor<[546,256,1,1,f32]>
tensor<[1,1,4,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (139776, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 546, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 2 : i32
input_width: 2 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 546 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 546, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,4,256,f32]>
tensor<[64,256,1,1,f32]>
tensor<[1,1,4,64,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (16384, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 64, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 2 : i32
input_width: 2 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 64, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,256,bf16]>
tensor<[128,256,1,1,bf16]>
tensor<[1,1,1024,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,256,bf16]>
tensor<[255,256,1,1,bf16]>
tensor<[1,1,1024,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65280, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 255 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,256,bf16]>
tensor<[256,256,1,1,bf16]>
tensor<[1,1,1024,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,1024,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,256,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,256,bf16]>
tensor<[512,256,3,3,bf16]>
tensor<[1,1,1024,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (393216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,256,bf16]>
tensor<[512,256,3,3,bf16]>
tensor<[1,1,256,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (393216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,256,bf16]>
tensor<[256,1,3,3,bf16]>
tensor<[1,1,1444,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (768, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 256 : i32
in_channels: 256 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,256,bf16]>
tensor<[256,256,1,1,bf16]>
tensor<[1,1,1444,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,256,bf16]>
tensor<[728,256,1,1,bf16]>
tensor<[1,1,1444,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (186368, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 728 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9,256,f32]>
tensor<[128,256,1,1,f32]>
tensor<[1,1,9,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (32768, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 3 : i32
input_width: 3 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,9,256,f32]>
tensor<[24,256,1,1,f32]>
tensor<[1,1,9,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (6144, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 24, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 3 : i32
input_width: 3 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 24, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,9,256,f32]>
tensor<[256,1,3,3,f32]>
tensor<[1,1,9,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (768, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 256 : i32
in_channels: 256 : i32
input_height: 3 : i32
input_width: 3 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,9,256,f32]>
tensor<[546,256,1,1,f32]>
tensor<[1,1,9,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (139776, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 546, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 3 : i32
input_width: 3 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 546 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 546, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,3600,256,bf16]>
tensor<[1024,256,1,1,bf16]>
tensor<[1,1,3600,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 45 : i32
input_width: 80 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3600,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3600,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,3600,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 45 : i32
input_width: 80 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,512,256,bf16]>
tensor<[1024,256,1,1,bf16]>
tensor<[1,1,512,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 512 + d2, d3), memory_config: (16, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 512 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,512,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[128,256,1,1,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[18,256,3,3,bf16]>
tensor<[1,1,3136,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (13824, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 18 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[256,256,1,1,bf16]>
tensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[256,4,3,3,bf16]>
tensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 3 + d2, d3), memory_config: (3072, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[36,256,3,3,bf16]>
tensor<[1,1,784,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (27648, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 36 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[512,256,1,1,bf16]>
tensor<[1,1,3136,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[512,256,1,1,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,256,bf16]>
tensor<[64,256,1,1,bf16]>
tensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,25,256,f32]>
tensor<[512,256,1,1,f32]>
tensor<[1,1,25,512,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (131072, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 5 : i32
input_width: 5 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,25,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,256,bf16]>
tensor<[128,256,1,1,bf16]>
tensor<[1,1,4096,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,256,bf16]>
tensor<[128,256,3,3,bf16]>
tensor<[1,1,4096,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,256,bf16]>
tensor<[255,256,1,1,bf16]>
tensor<[1,1,4096,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65280, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 255 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,256,bf16]>
tensor<[256,1,3,3,bf16]>
tensor<[1,1,4096,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (768, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 256 : i32
in_channels: 256 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,256,bf16]>
tensor<[512,256,3,3,bf16]>
tensor<[1,1,1024,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (393216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,256,bf16]>
tensor<[64,256,1,1,bf16]>
tensor<[1,1,4096,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,256,bf16]>
tensor<[256,1,3,3,bf16]>
tensor<[1,1,5625,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (768, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 256 : i32
in_channels: 256 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,256,bf16]>
tensor<[256,1,3,3,bf16]>
tensor<[1,1,1444,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (768, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 256 : i32
in_channels: 256 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,256,bf16]>
tensor<[256,256,1,1,bf16]>
tensor<[1,1,5625,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,256,bf16]>
tensor<[256,256,1,1,bf16]>
tensor<[1,1,1444,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,256,bf16]>
tensor<[1024,256,1,1,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,49,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,256,bf16]>
tensor<[512,256,1,1,bf16]>
tensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14400,256,bf16]>
tensor<[256,256,3,3,bf16]>
tensor<[1,1,3600,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (196608, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 256 : i32
input_height: 90 : i32
input_width: 160 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,262,bf16]>
tensor<[256,262,1,1,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262 + d1 + d2, d3), memory_config: (67072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 262 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,144,272,bf16]>
tensor<[1632,272,1,1,bf16]>
tensor<[1,1,144,1632,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (443904, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 272 : i32
input_height: 12 : i32
input_width: 12 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1632 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,272,bf16]>
tensor<[160,272,3,3,bf16]>
tensor<[1,1,49,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 * 3 + d2, d3), memory_config: (130560, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 272 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 160 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,276,bf16]>
tensor<[34,276,3,3,bf16]>
tensor<[1,1,784,34,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 828 + d1 * 3 + d2, d3), memory_config: (28152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 276 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 34 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,288,bf16]>
tensor<[128,288,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (36864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 288 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,288,bf16]>
tensor<[88,288,1,1,bf16]>
tensor<[1,1,289,88,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (25344, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 288 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 88 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,288,bf16]>
tensor<[96,288,1,1,bf16]>
tensor<[1,1,361,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (27648, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 288 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,288,bf16]>
tensor<[128,288,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (36864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 288 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1089,288,bf16]>
tensor<[288,1,5,5,bf16]>
tensor<[1,1,1089,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 1089 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1440, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 288 : i32
in_channels: 288 : i32
input_height: 33 : i32
input_width: 33 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 288 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1089,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1089,288,bf16]>
tensor<[48,288,1,1,bf16]>
tensor<[1,1,1089,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 1089 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (13824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 288 : i32
input_height: 33 : i32
input_width: 33 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 48 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1089,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1225,288,bf16]>
tensor<[288,1,3,3,bf16]>
tensor<[1,1,289,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (864, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 288, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 288 : i32
in_channels: 288 : i32
input_height: 35 : i32
input_width: 35 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 288 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,289,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 288, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,288,bf16]>
tensor<[288,1,5,5,bf16]>
tensor<[1,1,1444,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1440, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 288 : i32
in_channels: 288 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 288 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1444,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,288,bf16]>
tensor<[48,288,1,1,bf16]>
tensor<[1,1,1444,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (13824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 288 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 48 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1444,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1521,288,bf16]>
tensor<[288,1,3,3,bf16]>
tensor<[1,1,361,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1521 + d1 * 1521 + d2, d3), memory_config: (48, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (864, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 288, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 288 : i32
in_channels: 288 : i32
input_height: 39 : i32
input_width: 39 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 288 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,361,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 288, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,28,bf16]>
tensor<[16,28,3,3,bf16]>
tensor<[1,1,784,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (1344, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 28 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,296,bf16]>
tensor<[134,296,3,3,bf16]>
tensor<[1,1,784,134,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 888 + d1 * 3 + d2, d3), memory_config: (118992, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 134, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 296 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 134 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,134,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 134, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,304,bf16]>
tensor<[116,304,3,3,bf16]>
tensor<[1,1,196,116,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 912 + d1 * 3 + d2, d3), memory_config: (105792, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 304 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 116 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,10,3072,bf16]>
tensor<[3072,1,4,1,bf16]>
tensor<[1,1,13,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (13, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3072 : i32
in_channels: 3072 : i32
input_height: 10 : i32
input_width: 1 : i32
kernel_height: 4 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,13,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (13, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,11,3072,bf16]>
tensor<[3072,1,4,1,bf16]>
tensor<[1,1,14,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 * 11 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (14, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3072 : i32
in_channels: 3072 : i32
input_height: 11 : i32
input_width: 1 : i32
kernel_height: 4 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,14,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (14, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12,3072,bf16]>
tensor<[3072,1,4,1,bf16]>
tensor<[1,1,15,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (15, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3072 : i32
in_channels: 3072 : i32
input_height: 12 : i32
input_width: 1 : i32
kernel_height: 4 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,15,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (15, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,13,3072,bf16]>
tensor<[3072,1,4,1,bf16]>
tensor<[1,1,16,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (16, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3072 : i32
in_channels: 3072 : i32
input_height: 13 : i32
input_width: 1 : i32
kernel_height: 4 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (16, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14,3072,bf16]>
tensor<[3072,1,4,1,bf16]>
tensor<[1,1,17,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (17, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3072 : i32
in_channels: 3072 : i32
input_height: 14 : i32
input_width: 1 : i32
kernel_height: 4 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,17,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (17, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,15,3072,bf16]>
tensor<[3072,1,4,1,bf16]>
tensor<[1,1,18,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 * 15 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (18, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3072 : i32
in_channels: 3072 : i32
input_height: 15 : i32
input_width: 1 : i32
kernel_height: 4 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,18,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (18, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,6,3072,bf16]>
tensor<[3072,1,4,1,bf16]>
tensor<[1,1,9,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (9, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3072 : i32
in_channels: 3072 : i32
input_height: 6 : i32
input_width: 1 : i32
kernel_height: 4 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (9, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,7,3072,bf16]>
tensor<[3072,1,4,1,bf16]>
tensor<[1,1,10,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (10, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3072 : i32
in_channels: 3072 : i32
input_height: 7 : i32
input_width: 1 : i32
kernel_height: 4 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,10,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (10, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,8,3072,bf16]>
tensor<[3072,1,4,1,bf16]>
tensor<[1,1,11,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (11, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3072 : i32
in_channels: 3072 : i32
input_height: 8 : i32
input_width: 1 : i32
kernel_height: 4 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,11,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (11, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,8,3072,bf16]>
tensor<[768,768,1,1,bf16]>
tensor<[1,1,8,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (589824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 4 : i32
in_channels: 3072 : i32
input_height: 8 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 768 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9,3072,bf16]>
tensor<[3072,1,4,1,bf16]>
tensor<[1,1,12,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3072 : i32
in_channels: 3072 : i32
input_height: 9 : i32
input_width: 1 : i32
kernel_height: 4 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,310,bf16]>
tensor<[58,310,3,3,bf16]>
tensor<[1,1,784,58,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 930 + d1 * 3 + d2, d3), memory_config: (53940, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 310 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 58 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,320,bf16]>
tensor<[128,320,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (40960, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,320,bf16]>
tensor<[40,320,3,3,bf16]>
tensor<[1,1,196,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 3 + d2, d3), memory_config: (38400, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 40 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,320,bf16]>
tensor<[320,320,3,3,bf16]>
tensor<[1,1,64,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 3 + d2, d3), memory_config: (307200, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 320 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,320,bf16]>
tensor<[128,320,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (40960, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1200,320,bf16]>
tensor<[320,320,2,2,bf16]>
tensor<[1,1,300,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 2 + d2, d3), memory_config: (204800, 2, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 30 : i32
input_width: 40 : i32
kernel_height: 2 : i32
kernel_width: 2 : i32
out_channels: 320 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,300,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1200,320,bf16]>
tensor<[512,320,3,3,bf16]>
tensor<[1,1,300,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 3 + d2, d3), memory_config: (491520, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 30 : i32
input_width: 40 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,300,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1200,320,bf16]>
tensor<[64,320,1,1,bf16]>
tensor<[1,1,1200,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (20480, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 30 : i32
input_width: 40 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,320,bf16]>
tensor<[640,320,1,1,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (204800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 640 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,320,bf16]>
tensor<[640,320,3,3,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 3 + d2, d3), memory_config: (614400, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 640 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,320,bf16]>
tensor<[320,320,1,1,bf16]>
tensor<[1,1,4096,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (102400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 320 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,320,bf16]>
tensor<[320,320,3,3,bf16]>
tensor<[1,1,4096,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 3 + d2, d3), memory_config: (307200, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 320 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,320,bf16]>
tensor<[320,320,3,3,bf16]>
tensor<[1,1,1024,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 3 + d2, d3), memory_config: (307200, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 320 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1024,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,320,bf16]>
tensor<[4,320,3,3,bf16]>
tensor<[1,1,4096,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 3 + d2, d3), memory_config: (3840, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 4, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 4 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 4, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,320,bf16]>
tensor<[1280,320,1,1,bf16]>
tensor<[1,1,49,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (409600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,320,bf16]>
tensor<[1280,320,1,1,bf16]>
tensor<[1,1,64,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (409600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 320 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,328,bf16]>
tensor<[320,328,1,1,bf16]>
tensor<[1,1,784,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 328 + d1 + d2, d3), memory_config: (104960, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 328 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 320 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,32,bf16]>
tensor<[16,32,1,1,bf16]>
tensor<[1,1,12544,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (512, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 16 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,32,bf16]>
tensor<[232,32,1,1,bf16]>
tensor<[1,1,12544,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (7424, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 232, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 232 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 232, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,32,bf16]>
tensor<[232,32,1,1,bf16]>
tensor<[1,1,3136,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (7424, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 232 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,32,bf16]>
tensor<[32,1,3,3,bf16]>
tensor<[1,1,12544,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (96, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 32 : i32
in_channels: 32 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,32,bf16]>
tensor<[336,32,1,1,bf16]>
tensor<[1,1,12544,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (10752, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 336, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 336 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 336, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,32,bf16]>
tensor<[336,32,1,1,bf16]>
tensor<[1,1,3136,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (10752, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 336 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,32,bf16]>
tensor<[64,32,1,1,bf16]>
tensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (2048, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14400,32,bf16]>
tensor<[16,32,1,1,bf16]>
tensor<[1,1,14400,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (512, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 120 : i32
input_width: 120 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 16 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,14400,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14400,32,bf16]>
tensor<[32,1,3,3,bf16]>
tensor<[1,1,14400,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (96, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 32 : i32
in_channels: 32 : i32
input_height: 120 : i32
input_width: 120 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,14400,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,19200,32,bf16]>
tensor<[2,32,3,3,bf16]>
tensor<[1,1,19200,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (192, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 2, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 120 : i32
input_width: 160 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 2 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,19200,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 2, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,32,bf16]>
tensor<[32,32,1,1,bf16]>
tensor<[1,1,16384,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1024, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,32,bf16]>
tensor<[32,32,3,3,bf16]>
tensor<[1,1,16384,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (3072, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,32,bf16]>
tensor<[32,32,8,8,bf16]>
tensor<[1,1,256,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 8 + d2, d3), memory_config: (8192, 8, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 8 : i32
kernel_width: 8 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 8 : i32
stride_width: 8 : i32
tensor<[1,1,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,4096,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,16384,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16900,32,bf16]>
tensor<[16,32,1,1,bf16]>
tensor<[1,1,16900,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 16900 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (512, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 130 : i32
input_width: 130 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 16 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16900,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16900,32,bf16]>
tensor<[32,1,3,3,bf16]>
tensor<[1,1,16900,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 16900 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (96, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 32 : i32
in_channels: 32 : i32
input_height: 130 : i32
input_width: 130 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16900,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,21609,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,21609,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (676, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 147 : i32
input_width: 147 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,21609,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22201,32,bf16]>
tensor<[32,32,3,3,bf16]>
tensor<[1,1,21609,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 22201 + d2, d3), memory_config: (694, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (3072, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 149 : i32
input_width: 149 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,21609,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,32,bf16]>
tensor<[128,32,3,3,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,196,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22500,32,bf16]>
tensor<[24,32,1,1,bf16]>
tensor<[1,1,22500,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 150 : i32
input_width: 150 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,22500,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22500,32,bf16]>
tensor<[32,1,3,3,bf16]>
tensor<[1,1,22500,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (96, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 32 : i32
in_channels: 32 : i32
input_height: 150 : i32
input_width: 150 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22500,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,22500,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 150 : i32
input_width: 150 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,22500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,36100,32,bf16]>
tensor<[24,32,1,1,bf16]>
tensor<[1,1,36100,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 36100 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 190 : i32
input_width: 190 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,36100,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,36100,32,bf16]>
tensor<[32,1,3,3,bf16]>
tensor<[1,1,36100,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 36100 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (96, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 32 : i32
in_channels: 32 : i32
input_height: 190 : i32
input_width: 190 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,36100,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,32,bf16]>
tensor<[120,32,1,1,bf16]>
tensor<[1,1,1,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (3840, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 120 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,65536,32,bf16]>
tensor<[1,32,1,1,bf16]>
tensor<[1,1,65536,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (32, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 1, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 256 : i32
input_width: 256 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,65536,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 1, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,65536,32,bf16]>
tensor<[32,32,3,3,bf16]>
tensor<[1,1,65536,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (3072, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 256 : i32
input_width: 256 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,65536,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,65536,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 256 : i32
input_width: 256 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,65536,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,65536,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,16384,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 256 : i32
input_width: 256 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,676,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,576,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 676 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 26 : i32
input_width: 26 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,576,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,32,bf16]>
tensor<[192,32,1,1,bf16]>
tensor<[1,1,784,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (6144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,32,bf16]>
tensor<[96,32,3,3,bf16]>
tensor<[1,1,784,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (9216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 96 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1200,32,bf16]>
tensor<[2,32,3,3,bf16]>
tensor<[1,1,1200,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (192, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 2, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 30 : i32
input_width: 40 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 2 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1200,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 2, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,262144,32,bf16]>
tensor<[64,32,3,3,bf16]>
tensor<[1,1,65536,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 262144 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 512 : i32
input_width: 512 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,65536,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,32,bf16]>
tensor<[128,32,1,1,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (4096, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,32,bf16]>
tensor<[32,32,3,3,bf16]>
tensor<[1,1,3136,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (3072, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,32,bf16]>
tensor<[64,32,1,1,bf16]>
tensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (2048, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4800,32,bf16]>
tensor<[2,32,3,3,bf16]>
tensor<[1,1,4800,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (192, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 2, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 60 : i32
input_width: 80 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 2 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4800,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 2, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5625,32,bf16]>
tensor<[192,32,1,1,bf16]>
tensor<[1,1,5625,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (6144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 75 : i32
input_width: 75 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5625,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,32,bf16]>
tensor<[128,32,3,3,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9025,32,bf16]>
tensor<[192,32,1,1,bf16]>
tensor<[1,1,9025,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 9025 + d2, d3), memory_config: (283, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (6144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 32 : i32
input_height: 95 : i32
input_width: 95 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9025,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,336,bf16]>
tensor<[336,168,3,3,bf16]>
tensor<[1,1,3136,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 3 + d2, d3), memory_config: (169344, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 2 : i32
in_channels: 336 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 336 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,336,bf16]>
tensor<[336,1,3,3,bf16]>
tensor<[1,1,196,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1008, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 336 : i32
in_channels: 336 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 336 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,576,336,bf16]>
tensor<[112,336,1,1,bf16]>
tensor<[1,1,576,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (37632, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 336 : i32
input_height: 24 : i32
input_width: 24 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 112 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,576,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,2304,336,bf16]>
tensor<[336,1,5,5,bf16]>
tensor<[1,1,2304,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 2304 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1680, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 336 : i32
in_channels: 336 : i32
input_height: 48 : i32
input_width: 48 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 336 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,2304,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,2304,336,bf16]>
tensor<[56,336,1,1,bf16]>
tensor<[1,1,2304,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 2304 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (18816, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 336 : i32
input_height: 48 : i32
input_width: 48 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 56 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,2304,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,2401,336,bf16]>
tensor<[336,1,3,3,bf16]>
tensor<[1,1,576,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2401 + d1 * 2401 + d2, d3), memory_config: (76, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1008, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 336, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 336 : i32
in_channels: 336 : i32
input_height: 49 : i32
input_width: 49 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 336 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,576,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 336, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,336,bf16]>
tensor<[336,168,3,3,bf16]>
tensor<[1,1,3136,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 3 + d2, d3), memory_config: (169344, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 2 : i32
in_channels: 336 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 336 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,336,bf16]>
tensor<[336,336,1,1,bf16]>
tensor<[1,1,3136,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (112896, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 336 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 336 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,336,bf16]>
tensor<[672,336,1,1,bf16]>
tensor<[1,1,3136,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (225792, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 336 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 672, 'bf16', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.conv2dtensor<[1,1,3136,336,bf16]>
tensor<[672,336,1,1,bf16]>
tensor<[1,1,784,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (225792, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 336 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,348,bf16]>
tensor<[1392,348,1,1,bf16]>
tensor<[1,1,1,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (484416, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 348 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1392 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,348,bf16]>
tensor<[3712,348,1,1,bf16]>
tensor<[1,1,1,3712,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (1291776, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3712, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 348 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 3712 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3712, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,34,bf16]>
tensor<[20,34,3,3,bf16]>
tensor<[1,1,784,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102 + d1 * 3 + d2, d3), memory_config: (2040, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 34 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 20 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,352,bf16]>
tensor<[128,352,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (45056, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 352 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,352,bf16]>
tensor<[128,352,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (45056, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 352 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,81,352,bf16]>
tensor<[1280,352,1,1,bf16]>
tensor<[1,1,81,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 11, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (450560, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 352 : i32
input_height: 9 : i32
input_width: 9 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,81,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,360,bf16]>
tensor<[68,360,3,3,bf16]>
tensor<[1,1,196,68,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 3 + d2, d3), memory_config: (73440, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 360 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 68 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,368,bf16]>
tensor<[98,368,3,3,bf16]>
tensor<[1,1,784,98,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1104 + d1 * 3 + d2, d3), memory_config: (108192, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 98, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 368 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 98 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 98, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,36,bf16]>
tensor<[144,36,3,3,bf16]>
tensor<[1,1,49,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 3 + d2, d3), memory_config: (15552, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 36 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 144 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,36,bf16]>
tensor<[18,36,1,1,bf16]>
tensor<[1,1,784,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (648, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 36 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 18 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,36,bf16]>
tensor<[256,36,1,1,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (9216, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 36 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,36,bf16]>
tensor<[36,36,3,3,bf16]>
tensor<[1,1,784,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 3 + d2, d3), memory_config: (3888, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 36 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 36 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,36,bf16]>
tensor<[36,36,3,3,bf16]>
tensor<[1,1,196,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 3 + d2, d3), memory_config: (3888, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 36 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 36 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,36,bf16]>
tensor<[64,36,1,1,bf16]>
tensor<[1,1,784,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2304, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 36 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,36,bf16]>
tensor<[72,36,3,3,bf16]>
tensor<[1,1,196,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 3 + d2, d3), memory_config: (7776, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 36 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 72 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,36,bf16]>
tensor<[36,1,3,3,bf16]>
tensor<[1,1,3136,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (108, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 36 : i32
in_channels: 36 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 36 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,3712,bf16]>
tensor<[3712,232,3,3,bf16]>
tensor<[1,1,49,3712,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 116, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 3 + d2, d3), memory_config: (2583552, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 16 : i32
in_channels: 3712 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 3712 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,3712,bf16]>
tensor<[348,3712,1,1,bf16]>
tensor<[1,1,1,348,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (1291776, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3712 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 348 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,3712,bf16]>
tensor<[3712,3712,1,1,bf16]>
tensor<[1,1,49,3712,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 116, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (13778944, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3712 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 3712 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,384,bf16]>
tensor<[1280,384,1,1,bf16]>
tensor<[1,1,100,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (491520, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,384,bf16]>
tensor<[128,384,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (49152, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,384,bf16]>
tensor<[384,1,3,3,bf16]>
tensor<[1,1,196,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1152, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 384 : i32
in_channels: 384 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 384 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,384,bf16]>
tensor<[64,384,1,1,bf16]>
tensor<[1,1,196,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (24576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,384,bf16]>
tensor<[96,384,1,1,bf16]>
tensor<[1,1,196,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (36864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,384,bf16]>
tensor<[128,384,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (49152, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1225,384,bf16]>
tensor<[192,384,1,1,bf16]>
tensor<[1,1,1225,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (73728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 35 : i32
input_width: 35 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1225,384,bf16]>
tensor<[384,384,3,3,bf16]>
tensor<[1,1,289,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 3 + d2, d3), memory_config: (442368, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 35 : i32
input_width: 35 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 384 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1225,384,bf16]>
tensor<[64,384,1,1,bf16]>
tensor<[1,1,1225,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (24576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 35 : i32
input_width: 35 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1225,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1225,384,bf16]>
tensor<[96,384,1,1,bf16]>
tensor<[1,1,1225,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (36864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 35 : i32
input_width: 35 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,384,bf16]>
tensor<[128,384,1,1,bf16]>
tensor<[1,1,4096,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (49152, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,384,bf16]>
tensor<[256,384,1,3,bf16]>
tensor<[1,1,64,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (98304, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,384,bf16]>
tensor<[256,384,3,1,bf16]>
tensor<[1,1,64,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 3 + d2, d3), memory_config: (294912, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 3 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,384,bf16]>
tensor<[448,384,3,1,bf16]>
tensor<[1,1,64,448,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 3 + d2, d3), memory_config: (516096, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 448, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 384 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 3 : i32
kernel_width: 1 : i32
out_channels: 448 : i32
padding_height: 1 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 448, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1048576,3,f32]>
tensor<[192,3,4,4,f32]>
tensor<[1,1,65536,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1048576 + d1 * 1048576 + d2, d3), memory_config: (32768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 4 + d2, d3), memory_config: (2304, 4, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 1024 : i32
input_width: 1024 : i32
kernel_height: 4 : i32
kernel_width: 4 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 4 : i32
stride_width: 4 : i32
tensor<[1,1,65536,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[1024,3,16,16,bf16]>
tensor<[1,1,196,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 16 + d2, d3), memory_config: (49152, 16, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 16 : i32
kernel_width: 16 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 16 : i32
stride_width: 16 : i32
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[128,3,4,4,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 4 + d2, d3), memory_config: (1536, 4, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 4 : i32
kernel_width: 4 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 4 : i32
stride_width: 4 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[16,3,3,3,bf16]>
tensor<[1,1,12544,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[16,3,7,7,bf16]>
tensor<[1,1,50176,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 * 7 + d2, d3), memory_config: (336, 7, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 7 : i32
kernel_width: 7 : i32
out_channels: 16 : i32
padding_height: 3 : i32
padding_width: 3 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,50176,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[32,3,3,3,bf16]>
tensor<[1,1,12544,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[64,3,3,3,bf16]>
tensor<[1,1,50176,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[64,3,3,3,bf16]>
tensor<[1,1,50176,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[64,3,3,3,bf16]>
tensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[64,3,7,7,bf16]>
tensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 * 7 + d2, d3), memory_config: (1344, 7, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 7 : i32
kernel_width: 7 : i32
out_channels: 64 : i32
padding_height: 3 : i32
padding_width: 3 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[768,3,16,16,bf16]>
tensor<[1,1,196,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 16 + d2, d3), memory_config: (36864, 16, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 16 : i32
kernel_width: 16 : i32
out_channels: 768 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 16 : i32
stride_width: 16 : i32
tensor<[1,1,196,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,3,bf16]>
tensor<[768,3,32,32,bf16]>
tensor<[1,1,49,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 32 + d2, d3), memory_config: (73728, 32, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 32 : i32
kernel_width: 32 : i32
out_channels: 768 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 32 : i32
stride_width: 32 : i32
tensor<[1,1,49,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50625,3,bf16]>
tensor<[32,3,3,3,bf16]>
tensor<[1,1,12544,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50625 + d1 * 50625 + d2, d3), memory_config: (1583, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 225 : i32
input_width: 225 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,58081,3,bf16]>
tensor<[32,3,3,3,bf16]>
tensor<[1,1,14400,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58081 + d1 * 58081 + d2, d3), memory_config: (1816, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 241 : i32
input_width: 241 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,14400,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,65536,3,bf16]>
tensor<[32,3,3,3,bf16]>
tensor<[1,1,65536,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 256 : i32
input_width: 256 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,68121,3,bf16]>
tensor<[32,3,3,3,bf16]>
tensor<[1,1,16900,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68121 + d1 * 68121 + d2, d3), memory_config: (2129, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 261 : i32
input_width: 261 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,16900,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,89401,3,bf16]>
tensor<[32,3,3,3,bf16]>
tensor<[1,1,22201,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 89401 + d1 * 89401 + d2, d3), memory_config: (2794, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 149 + d2, d3), memory_config: (22201, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 299 : i32
input_width: 299 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,22201,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 149 + d2, d3), memory_config: (22201, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,89401,3,bf16]>
tensor<[32,3,3,3,bf16]>
tensor<[1,1,22500,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 89401 + d1 * 89401 + d2, d3), memory_config: (2794, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 299 : i32
input_width: 299 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,90601,3,bf16]>
tensor<[32,3,3,3,bf16]>
tensor<[1,1,22500,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90601 + d1 * 90601 + d2, d3), memory_config: (2832, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 301 : i32
input_width: 301 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,102400,3,f32]>
tensor<[16,3,3,3,f32]>
tensor<[1,1,25600,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102400 + d1 * 102400 + d2, d3), memory_config: (3200, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (144, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 320 : i32
input_width: 320 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,3,bf16]>
tensor<[768,3,4,4,bf16]>
tensor<[1,1,256,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 4 + d2, d3), memory_config: (9216, 4, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 32 : i32
input_width: 128 : i32
kernel_height: 4 : i32
kernel_width: 4 : i32
out_channels: 768 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 4 : i32
stride_width: 4 : i32
tensor<[1,1,256,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,145161,3,bf16]>
tensor<[32,3,3,3,bf16]>
tensor<[1,1,36100,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 145161 + d1 * 145161 + d2, d3), memory_config: (4537, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 381 : i32
input_width: 381 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,36100,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196608,3,bf16]>
tensor<[768,3,32,32,bf16]>
tensor<[1,1,192,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196608 + d1 * 196608 + d2, d3), memory_config: (6144, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 32 + d2, d3), memory_config: (73728, 32, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (192, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 384 : i32
input_width: 512 : i32
kernel_height: 32 : i32
kernel_width: 32 : i32
out_channels: 768 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 32 : i32
stride_width: 32 : i32
tensor<[1,1,192,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (192, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,307200,3,bf16]>
tensor<[64,3,7,7,bf16]>
tensor<[1,1,19200,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 307200 + d2, d3), memory_config: (9600, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 * 7 + d2, d3), memory_config: (1344, 7, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 480 : i32
input_width: 640 : i32
kernel_height: 7 : i32
kernel_width: 7 : i32
out_channels: 64 : i32
padding_height: 3 : i32
padding_width: 3 : i32
stride_height: 4 : i32
stride_width: 4 : i32
tensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,262144,3,f32]>
tensor<[192,3,4,4,f32]>
tensor<[1,1,16384,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 262144 + d2, d3), memory_config: (8192, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 4 + d2, d3), memory_config: (2304, 4, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 512 : i32
input_width: 512 : i32
kernel_height: 4 : i32
kernel_width: 4 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 4 : i32
stride_width: 4 : i32
tensor<[1,1,16384,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,262144,3,bf16]>
tensor<[32,3,3,3,bf16]>
tensor<[1,1,262144,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 262144 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (262144, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 512 : i32
input_width: 512 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,262144,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (262144, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,262144,3,bf16]>
tensor<[32,3,6,6,bf16]>
tensor<[1,1,65536,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 262144 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 * 6 + d2, d3), memory_config: (576, 6, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 512 : i32
input_width: 512 : i32
kernel_height: 6 : i32
kernel_width: 6 : i32
out_channels: 32 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,262144,3,bf16]>
tensor<[32,3,7,7,bf16]>
tensor<[1,1,16384,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 262144 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 * 7 + d2, d3), memory_config: (672, 7, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 512 : i32
input_width: 512 : i32
kernel_height: 7 : i32
kernel_width: 7 : i32
out_channels: 32 : i32
padding_height: 3 : i32
padding_width: 3 : i32
stride_height: 4 : i32
stride_width: 4 : i32
tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,344064,3,bf16]>
tensor<[192,3,16,16,bf16]>
tensor<[1,1,1344,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 344064 + d1 * 344064 + d2, d3), memory_config: (10752, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 16 + d2, d3), memory_config: (9216, 16, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 42 + d2, d3), memory_config: (1344, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 512 : i32
input_width: 672 : i32
kernel_height: 16 : i32
kernel_width: 16 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 16 : i32
stride_width: 16 : i32
tensor<[1,1,1344,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 42 + d2, d3), memory_config: (1344, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,268324,3,bf16]>
tensor<[1280,3,14,14,bf16]>
tensor<[1,1,1369,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 268324 + d1 * 268324 + d2, d3), memory_config: (8386, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (53760, 14, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1369 + d1 * 37 + d2, d3), memory_config: (1369, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 518 : i32
input_width: 518 : i32
kernel_height: 14 : i32
kernel_width: 14 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 14 : i32
stride_width: 14 : i32
tensor<[1,1,1369,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1369 + d1 * 37 + d2, d3), memory_config: (1369, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,921600,3,bf16]>
tensor<[64,3,7,7,bf16]>
tensor<[1,1,230400,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 921600 + d1 * 921600 + d2, d3), memory_config: (28800, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 * 7 + d2, d3), memory_config: (1344, 7, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 640 + d2, d3), memory_config: (230400, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 3 : i32
input_height: 720 : i32
input_width: 1280 : i32
kernel_height: 7 : i32
kernel_width: 7 : i32
out_channels: 64 : i32
padding_height: 3 : i32
padding_width: 3 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,230400,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 640 + d2, d3), memory_config: (230400, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,40,bf16]>
tensor<[120,40,1,1,bf16]>
tensor<[1,1,196,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (4800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 40 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 120 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,40,bf16]>
tensor<[240,40,1,1,bf16]>
tensor<[1,1,196,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (9600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 40 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 240 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,40,bf16]>
tensor<[40,1,3,3,bf16]>
tensor<[1,1,196,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (120, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 40 : i32
in_channels: 40 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 40 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,40,bf16]>
tensor<[80,40,1,1,bf16]>
tensor<[1,1,196,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (3200, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 40 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,40,bf16]>
tensor<[120,40,1,1,bf16]>
tensor<[1,1,784,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (4800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 40 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 120 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,40,bf16]>
tensor<[240,40,1,1,bf16]>
tensor<[1,1,784,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (9600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 40 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 240 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,40,bf16]>
tensor<[40,1,3,3,bf16]>
tensor<[1,1,196,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (120, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 40 : i32
in_channels: 40 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 40 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,40,bf16]>
tensor<[60,40,1,1,bf16]>
tensor<[1,1,784,60,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 40 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 60 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,900,40,bf16]>
tensor<[240,40,1,1,bf16]>
tensor<[1,1,900,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 900 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (9600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 40 : i32
input_height: 30 : i32
input_width: 30 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 240 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,900,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1600,40,f32]>
tensor<[120,40,1,1,f32]>
tensor<[1,1,1600,120,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (4800, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 40 : i32
input_height: 40 : i32
input_width: 40 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 120 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1600,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,1600,40,f32]>
tensor<[240,40,1,1,f32]>
tensor<[1,1,1600,240,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (9600, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 240, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 40 : i32
input_height: 40 : i32
input_width: 40 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 240 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1600,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 240, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,40,bf16]>
tensor<[14,40,3,3,bf16]>
tensor<[1,1,3136,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 3 + d2, d3), memory_config: (1680, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 40 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 14 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,416,bf16]>
tensor<[128,416,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 13, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (53248, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 416 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,416,bf16]>
tensor<[128,416,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 13, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (53248, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 416 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,428,bf16]>
tensor<[116,428,3,3,bf16]>
tensor<[1,1,196,116,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 14, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1284 + d1 * 3 + d2, d3), memory_config: (148944, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 428 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 116 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,144,448,bf16]>
tensor<[1280,448,1,1,bf16]>
tensor<[1,1,144,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 14, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (573440, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 448 : i32
input_height: 12 : i32
input_width: 12 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,144,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,448,bf16]>
tensor<[128,448,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 14, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (57344, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 448 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,448,bf16]>
tensor<[128,448,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 14, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (57344, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 448 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,448,bf16]>
tensor<[256,448,1,1,bf16]>
tensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 14, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (114688, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 448 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,448,bf16]>
tensor<[512,448,1,3,bf16]>
tensor<[1,1,64,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 14, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (229376, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 448 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,466,bf16]>
tensor<[168,466,3,3,bf16]>
tensor<[1,1,784,168,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1398 + d1 * 3 + d2, d3), memory_config: (234864, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 168, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 466 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 168 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 168, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,46,bf16]>
tensor<[16,46,3,3,bf16]>
tensor<[1,1,784,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 138 + d1 * 3 + d2, d3), memory_config: (2208, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 46 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,480,f32]>
tensor<[24,480,1,1,f32]>
tensor<[1,1,100,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (11520, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 24, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 24, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,480,f32]>
tensor<[256,480,1,1,f32]>
tensor<[1,1,100,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (122880, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 256, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 256, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,480,f32]>
tensor<[480,1,3,3,f32]>
tensor<[1,1,100,480,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1440, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 480 : i32
in_channels: 480 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 480 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,480,f32]>
tensor<[480,1,5,5,f32]>
tensor<[1,1,100,480,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (2400, 5, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 480 : i32
in_channels: 480 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 480 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,480,f32]>
tensor<[546,480,1,1,f32]>
tensor<[1,1,100,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (262080, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 546, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 546 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 546, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,480,f32]>
tensor<[80,480,1,1,f32]>
tensor<[1,1,100,80,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (38400, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,480,bf16]>
tensor<[112,480,1,1,bf16]>
tensor<[1,1,196,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (53760, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 112 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,480,bf16]>
tensor<[128,480,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (61440, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,480,bf16]>
tensor<[16,480,1,1,bf16]>
tensor<[1,1,196,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (7680, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 16 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,480,bf16]>
tensor<[192,480,1,1,bf16]>
tensor<[1,1,196,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (92160, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,480,bf16]>
tensor<[480,1,3,3,bf16]>
tensor<[1,1,196,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1440, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 480 : i32
in_channels: 480 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 480 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,480,bf16]>
tensor<[480,1,5,5,bf16]>
tensor<[1,1,196,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (2400, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 480 : i32
in_channels: 480 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 480 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,480,bf16]>
tensor<[56,480,1,1,bf16]>
tensor<[1,1,196,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (26880, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 56 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,480,bf16]>
tensor<[64,480,1,1,bf16]>
tensor<[1,1,196,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (30720, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,480,bf16]>
tensor<[80,480,1,1,bf16]>
tensor<[1,1,196,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (38400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,480,bf16]>
tensor<[96,480,1,1,bf16]>
tensor<[1,1,196,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (46080, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,225,480,bf16]>
tensor<[112,480,1,1,bf16]>
tensor<[1,1,225,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (53760, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 15 : i32
input_width: 15 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 112 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,225,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,225,480,bf16]>
tensor<[480,1,3,3,bf16]>
tensor<[1,1,225,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1440, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 480 : i32
in_channels: 480 : i32
input_height: 15 : i32
input_width: 15 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 480 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,225,480,bf16]>
tensor<[480,1,5,5,bf16]>
tensor<[1,1,225,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (2400, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 480 : i32
in_channels: 480 : i32
input_height: 15 : i32
input_width: 15 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 480 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,225,480,bf16]>
tensor<[80,480,1,1,bf16]>
tensor<[1,1,225,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (38400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 15 : i32
input_width: 15 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,225,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,480,bf16]>
tensor<[120,480,1,1,bf16]>
tensor<[1,1,1,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (57600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 120 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,480,f32]>
tensor<[112,480,1,1,f32]>
tensor<[1,1,400,112,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (53760, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 112 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,480,f32]>
tensor<[480,1,3,3,f32]>
tensor<[1,1,400,480,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1440, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 480 : i32
in_channels: 480 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 480 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,480,bf16]>
tensor<[128,480,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (61440, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 480 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,480,bf16]>
tensor<[480,1,1,5,bf16]>
tensor<[1,1,49,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (480, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 480 : i32
in_channels: 480 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 5 : i32
out_channels: 480 : i32
padding_height: 0 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,480,bf16]>
tensor<[480,1,3,3,bf16]>
tensor<[1,1,49,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1440, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 480 : i32
in_channels: 480 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 480 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,480,bf16]>
tensor<[480,1,5,1,bf16]>
tensor<[1,1,49,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (2400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 480 : i32
in_channels: 480 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 5 : i32
kernel_width: 1 : i32
out_channels: 480 : i32
padding_height: 2 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,48,bf16]>
tensor<[48,1,3,3,bf16]>
tensor<[1,1,3136,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 48, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 48 : i32
in_channels: 48 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 48 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 48, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1089,48,bf16]>
tensor<[288,48,1,1,bf16]>
tensor<[1,1,1089,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 1089 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (13824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 48 : i32
input_height: 33 : i32
input_width: 33 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 288 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1089,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,48,bf16]>
tensor<[288,48,1,1,bf16]>
tensor<[1,1,1444,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (13824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 48 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 288 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1444,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,48,bf16]>
tensor<[12,48,1,1,bf16]>
tensor<[1,1,3136,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 48 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 12 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,48,bf16]>
tensor<[128,48,3,3,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 3 + d2, d3), memory_config: (18432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 48 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,4,bf16]>
tensor<[320,4,3,3,bf16]>
tensor<[1,1,4096,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 3 + d2, d3), memory_config: (3840, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 4 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 320 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[1024,512,1,1,bf16]>
tensor<[1,1,196,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (524288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[1024,512,3,3,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (1572864, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[1024,512,3,3,bf16]>
tensor<[1,1,196,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (1572864, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[112,512,1,1,bf16]>
tensor<[1,1,196,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (57344, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 112 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[128,512,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[144,512,1,1,bf16]>
tensor<[1,1,196,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (73728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 144 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[160,512,1,1,bf16]>
tensor<[1,1,196,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (81920, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[192,512,1,1,bf16]>
tensor<[1,1,196,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (98304, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[24,512,1,1,bf16]>
tensor<[1,1,196,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[256,512,1,1,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[32,512,1,1,bf16]>
tensor<[1,1,196,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[512,1,3,3,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1536, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 512 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[512,1,3,3,bf16]>
tensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1536, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 512 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[512,512,1,1,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[512,512,3,3,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (786432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[512,512,3,3,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (786432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[512,512,3,3,bf16]>
tensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (786432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,512,bf16]>
tensor<[64,512,1,1,bf16]>
tensor<[1,1,196,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,300,512,bf16]>
tensor<[64,512,1,1,bf16]>
tensor<[1,1,300,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 300 + d2, d3), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (32768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 15 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,512,bf16]>
tensor<[1024,512,3,3,bf16]>
tensor<[1,1,256,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (1572864, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,512,bf16]>
tensor<[255,512,1,1,bf16]>
tensor<[1,1,256,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (130560, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 255 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,512,bf16]>
tensor<[256,512,1,1,bf16]>
tensor<[1,1,256,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,512,bf16]>
tensor<[512,512,1,1,bf16]>
tensor<[1,1,256,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,512,bf16]>
tensor<[512,512,3,3,bf16]>
tensor<[1,1,256,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (786432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,512,bf16]>
tensor<[1000,512,1,1,bf16]>
tensor<[1,1,1,1000,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512000, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1000, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1000 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,1000,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1000, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,512,bf16]>
tensor<[512,512,1,1,bf16]>
tensor<[1,1,1,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,920,512,bf16]>
tensor<[2048,512,1,1,bf16]>
tensor<[1,1,920,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 920 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (1048576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 23 : i32
input_width: 40 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2048 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,920,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,920,512,bf16]>
tensor<[512,512,3,3,bf16]>
tensor<[1,1,920,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 920 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (786432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 23 : i32
input_width: 40 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[1024,512,1,1,bf16]>
tensor<[1,1,784,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (524288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[1024,512,1,1,bf16]>
tensor<[1,1,196,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (524288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[128,512,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[128,512,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[19,512,1,1,bf16]>
tensor<[1,1,784,19,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (9728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 19 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[256,512,1,1,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[38,512,1,1,bf16]>
tensor<[1,1,784,38,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (19456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 38 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[512,1,3,3,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1536, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 512 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[512,1,3,3,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1536, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 2 : i32
dilation_width: 2 : i32
groups: 512 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[512,512,1,1,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[512,512,3,3,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (786432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[512,512,3,3,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (786432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[512,512,3,3,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (786432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,512,bf16]>
tensor<[512,8,3,3,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 512 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,512,bf16]>
tensor<[1024,512,3,3,bf16]>
tensor<[1,1,256,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (1572864, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1024 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,512,bf16]>
tensor<[128,512,1,1,bf16]>
tensor<[1,1,1024,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,512,bf16]>
tensor<[255,512,1,1,bf16]>
tensor<[1,1,1024,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (130560, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 255 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,512,bf16]>
tensor<[256,512,1,1,bf16]>
tensor<[1,1,1024,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,512,bf16]>
tensor<[256,512,3,3,bf16]>
tensor<[1,1,1024,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (393216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3600,512,bf16]>
tensor<[512,512,3,3,bf16]>
tensor<[1,1,920,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (786432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 45 : i32
input_width: 80 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,512,bf16]>
tensor<[256,512,3,3,bf16]>
tensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (393216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,512,bf16]>
tensor<[512,8,3,3,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 512 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,25,512,f32]>
tensor<[128,512,1,1,f32]>
tensor<[1,1,25,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (65536, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 128, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 5 : i32
input_width: 5 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,25,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 128, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,25,512,f32]>
tensor<[24,512,1,1,f32]>
tensor<[1,1,25,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (12288, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 24, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 5 : i32
input_width: 5 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,25,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 24, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,25,512,f32]>
tensor<[512,1,3,3,f32]>
tensor<[1,1,25,512,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1536, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 512 : i32
in_channels: 512 : i32
input_height: 5 : i32
input_width: 5 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,25,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,25,512,f32]>
tensor<[546,512,1,1,f32]>
tensor<[1,1,25,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (279552, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 546, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 5 : i32
input_width: 5 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 546 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,25,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 546, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,4800,512,bf16]>
tensor<[512,1,3,3,bf16]>
tensor<[1,1,4800,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1536, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 512 : i32
in_channels: 512 : i32
input_height: 60 : i32
input_width: 80 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4800,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,512,bf16]>
tensor<[1024,512,1,1,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (524288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,512,bf16]>
tensor<[2048,512,1,1,bf16]>
tensor<[1,1,49,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (1048576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 2048 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,512,bf16]>
tensor<[512,512,3,3,bf16]>
tensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (786432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 512 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,512,bf16]>
tensor<[256,512,1,3,bf16]>
tensor<[1,1,64,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (131072, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 3 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,512,bf16]>
tensor<[256,512,3,1,bf16]>
tensor<[1,1,64,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 3 + d2, d3), memory_config: (393216, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 3 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 1 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14400,512,bf16]>
tensor<[1024,512,1,1,bf16]>
tensor<[1,1,3600,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (524288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 90 : i32
input_width: 160 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3600,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14400,512,bf16]>
tensor<[128,512,1,1,bf16]>
tensor<[1,1,14400,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (65536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 90 : i32
input_width: 160 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14400,512,bf16]>
tensor<[256,512,1,1,bf16]>
tensor<[1,1,14400,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (131072, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 512 : i32
input_height: 90 : i32
input_width: 160 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,14400,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,528,bf16]>
tensor<[128,528,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (67584, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 528 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,528,bf16]>
tensor<[160,528,1,1,bf16]>
tensor<[1,1,196,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (84480, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 528 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,528,bf16]>
tensor<[256,528,1,1,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (135168, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 528 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,528,bf16]>
tensor<[32,528,1,1,bf16]>
tensor<[1,1,196,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (16896, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 528 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,528,bf16]>
tensor<[120,528,1,1,bf16]>
tensor<[1,1,289,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (63360, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 528 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 120 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,528,bf16]>
tensor<[528,1,3,3,bf16]>
tensor<[1,1,289,528,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1584, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 528 : i32
in_channels: 528 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 528 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,528,bf16]>
tensor<[528,1,5,5,bf16]>
tensor<[1,1,289,528,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (2640, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 528 : i32
in_channels: 528 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 528 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,528,bf16]>
tensor<[88,528,1,1,bf16]>
tensor<[1,1,289,88,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (46464, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 528 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 88 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,544,bf16]>
tensor<[128,544,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 544 + d1 + d2, d3), memory_config: (69632, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 544 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,544,bf16]>
tensor<[196,544,3,3,bf16]>
tensor<[1,1,196,196,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 * 3 + d2, d3), memory_config: (319872, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 196, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 544 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 196 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,196,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 196, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,54,bf16]>
tensor<[24,54,3,3,bf16]>
tensor<[1,1,3136,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 162 + d1 * 3 + d2, d3), memory_config: (3888, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 54 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 24 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,56,bf16]>
tensor<[56,1,3,3,bf16]>
tensor<[1,1,196,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (168, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 56 : i32
in_channels: 56 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 56 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,2304,56,bf16]>
tensor<[336,56,1,1,bf16]>
tensor<[1,1,2304,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 2304 + d2, d3), memory_config: (72, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (18816, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 56 : i32
input_height: 48 : i32
input_width: 48 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 336 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,2304,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,576,bf16]>
tensor<[128,576,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (73728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 576 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,576,bf16]>
tensor<[576,1,3,3,bf16]>
tensor<[1,1,196,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1728, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 576 : i32
in_channels: 576 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 576 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,576,bf16]>
tensor<[576,1,3,3,bf16]>
tensor<[1,1,49,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1728, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 576, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 576 : i32
in_channels: 576 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 576 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 576, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,576,bf16]>
tensor<[96,576,1,1,bf16]>
tensor<[1,1,196,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (55296, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 576 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,576,bf16]>
tensor<[136,576,1,1,bf16]>
tensor<[1,1,361,136,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (78336, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 576 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 136 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,576,bf16]>
tensor<[576,1,3,3,bf16]>
tensor<[1,1,361,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1728, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 576 : i32
in_channels: 576 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 576 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,576,bf16]>
tensor<[576,1,5,5,bf16]>
tensor<[1,1,361,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (2880, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 576 : i32
in_channels: 576 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 576 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,576,bf16]>
tensor<[96,576,1,1,bf16]>
tensor<[1,1,361,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (55296, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 576 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,576,bf16]>
tensor<[160,576,1,1,bf16]>
tensor<[1,1,49,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 18, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (92160, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 576 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,58,bf16]>
tensor<[232,58,1,1,bf16]>
tensor<[1,1,1,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (13456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 58 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 232 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,58,bf16]>
tensor<[696,58,1,1,bf16]>
tensor<[1,1,1,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (40368, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 58 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 696 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,58,bf16]>
tensor<[20,58,3,3,bf16]>
tensor<[1,1,784,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 * 3 + d2, d3), memory_config: (3480, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 58 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 20 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,608,bf16]>
tensor<[128,608,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 19, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 608 + d1 + d2, d3), memory_config: (77824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 608 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,60,bf16]>
tensor<[60,1,3,3,bf16]>
tensor<[1,1,784,60,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (180, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 60 : i32
in_channels: 60 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 60 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,62,bf16]>
tensor<[28,62,3,3,bf16]>
tensor<[1,1,784,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 186 + d1 * 3 + d2, d3), memory_config: (5208, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 62 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 28 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,640,bf16]>
tensor<[128,640,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (81920, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 640 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,640,bf16]>
tensor<[1280,640,1,1,bf16]>
tensor<[1,1,256,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (819200, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 640 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,256,640,bf16]>
tensor<[1280,640,3,3,bf16]>
tensor<[1,1,256,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 3 + d2, d3), memory_config: (2457600, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 640 : i32
input_height: 16 : i32
input_width: 16 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1280 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,640,bf16]>
tensor<[640,1,3,3,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (1920, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 640 : i32
in_channels: 640 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 640 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,640,bf16]>
tensor<[640,640,1,1,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (409600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 640 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 640 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,640,bf16]>
tensor<[640,640,3,3,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 3 + d2, d3), memory_config: (1228800, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 640 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 640 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,640,bf16]>
tensor<[640,640,3,3,bf16]>
tensor<[1,1,256,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 3 + d2, d3), memory_config: (1228800, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 640 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 640 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,256,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,640,bf16]>
tensor<[320,640,1,1,bf16]>
tensor<[1,1,4096,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (204800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 640 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 320 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,640,bf16]>
tensor<[320,640,3,3,bf16]>
tensor<[1,1,4096,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 3 + d2, d3), memory_config: (614400, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 640 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 320 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,640,bf16]>
tensor<[640,640,3,3,bf16]>
tensor<[1,1,4096,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 3 + d2, d3), memory_config: (1228800, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 640 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 640 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,640,bf16]>
tensor<[160,640,3,3,bf16]>
tensor<[1,1,49,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 3 + d2, d3), memory_config: (307200, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 640 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 160 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,64,bf16]>
tensor<[128,64,3,3,bf16]>
tensor<[1,1,12544,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,64,bf16]>
tensor<[128,64,3,3,bf16]>
tensor<[1,1,12544,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,64,bf16]>
tensor<[64,1,3,3,bf16]>
tensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (192, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 64 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,64,bf16]>
tensor<[64,1,3,3,bf16]>
tensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (192, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 64 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,64,bf16]>
tensor<[64,64,1,1,bf16]>
tensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (4096, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,64,bf16]>
tensor<[64,64,3,3,bf16]>
tensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,19200,64,bf16]>
tensor<[128,64,3,3,bf16]>
tensor<[1,1,4800,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 120 : i32
input_width: 160 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,4800,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,19200,64,bf16]>
tensor<[32,64,3,3,bf16]>
tensor<[1,1,19200,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 120 : i32
input_width: 160 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,19200,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,19200,64,bf16]>
tensor<[64,64,8,8,bf16]>
tensor<[1,1,300,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 8 + d2, d3), memory_config: (32768, 8, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 120 : i32
input_width: 160 : i32
kernel_height: 8 : i32
kernel_width: 8 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 8 : i32
stride_width: 8 : i32
tensor<[1,1,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,64,bf16]>
tensor<[128,64,3,3,bf16]>
tensor<[1,1,16384,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,64,bf16]>
tensor<[128,64,3,3,bf16]>
tensor<[1,1,4096,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,64,bf16]>
tensor<[32,64,1,1,bf16]>
tensor<[1,1,16384,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2048, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,64,bf16]>
tensor<[64,64,1,1,bf16]>
tensor<[1,1,16384,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (4096, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,16384,64,bf16]>
tensor<[64,64,3,3,bf16]>
tensor<[1,1,16384,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 128 : i32
input_width: 128 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,21609,64,bf16]>
tensor<[96,64,3,3,bf16]>
tensor<[1,1,5329,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (18432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 147 : i32
input_width: 147 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,5329,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,64,bf16]>
tensor<[384,64,1,1,bf16]>
tensor<[1,1,196,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (24576, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 384 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22500,64,bf16]>
tensor<[128,64,1,1,bf16]>
tensor<[1,1,22500,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (8192, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 150 : i32
input_width: 150 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22500,64,bf16]>
tensor<[128,64,1,1,bf16]>
tensor<[1,1,5625,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (8192, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 150 : i32
input_width: 150 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,22500,64,bf16]>
tensor<[64,1,3,3,bf16]>
tensor<[1,1,22500,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (192, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 64 : i32
input_height: 150 : i32
input_width: 150 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,22500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,25600,64,f32]>
tensor<[64,1,3,3,f32]>
tensor<[1,1,6400,64,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 25600 + d2, d3), memory_config: (800, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (192, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 64, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 64 : i32
input_height: 160 : i32
input_width: 160 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,6400,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 64, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,57600,64,bf16]>
tensor<[256,64,1,1,bf16]>
tensor<[1,1,57600,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 180 : i32
input_width: 320 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,57600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,57600,64,bf16]>
tensor<[64,64,1,1,bf16]>
tensor<[1,1,57600,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (4096, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 180 : i32
input_width: 320 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,57600,64,bf16]>
tensor<[64,64,3,3,bf16]>
tensor<[1,1,57600,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 180 : i32
input_width: 320 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,64,f32]>
tensor<[128,64,1,1,f32]>
tensor<[1,1,1,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (8192, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,64,bf16]>
tensor<[1,64,1,1,bf16]>
tensor<[1,1,50176,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (64, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 1, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,50176,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 1, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,64,bf16]>
tensor<[64,64,3,3,bf16]>
tensor<[1,1,50176,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,50176,64,bf16]>
tensor<[64,64,3,3,bf16]>
tensor<[1,1,50176,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 224 : i32
input_width: 224 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,65536,64,bf16]>
tensor<[128,64,3,3,bf16]>
tensor<[1,1,16384,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 256 : i32
input_width: 256 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,65536,64,bf16]>
tensor<[32,64,1,1,bf16]>
tensor<[1,1,65536,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2048, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 256 : i32
input_width: 256 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,65536,64,bf16]>
tensor<[32,64,3,3,bf16]>
tensor<[1,1,65536,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 256 : i32
input_width: 256 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,64,bf16]>
tensor<[128,64,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (8192, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,64,bf16]>
tensor<[256,64,1,1,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,64,bf16]>
tensor<[64,64,3,3,bf16]>
tensor<[1,1,784,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4,64,f32]>
tensor<[64,1,3,3,f32]>
tensor<[1,1,1,64,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (192, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 64 : i32
in_channels: 64 : i32
input_height: 2 : i32
input_width: 2 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,1200,64,bf16]>
tensor<[32,64,3,3,bf16]>
tensor<[1,1,1200,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 30 : i32
input_width: 40 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1200,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1225,64,bf16]>
tensor<[96,64,3,3,bf16]>
tensor<[1,1,1225,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (18432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 35 : i32
input_width: 35 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 96 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,307200,64,bf16]>
tensor<[1,64,3,3,bf16]>
tensor<[1,1,307200,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 307200 + d2, d3), memory_config: (9600, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (192, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 1, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 480 : i32
input_width: 640 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 1 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,307200,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 1, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,307200,64,bf16]>
tensor<[64,64,3,3,bf16]>
tensor<[1,1,307200,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 307200 + d2, d3), memory_config: (9600, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 480 : i32
input_width: 640 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,307200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,64,bf16]>
tensor<[128,64,1,1,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (8192, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,64,bf16]>
tensor<[128,64,1,1,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (8192, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,64,bf16]>
tensor<[128,64,3,3,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,64,bf16]>
tensor<[14,64,3,3,bf16]>
tensor<[1,1,3136,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (2688, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 14 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,64,bf16]>
tensor<[192,64,3,3,bf16]>
tensor<[1,1,3136,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (36864, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 192 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,64,bf16]>
tensor<[24,64,1,1,bf16]>
tensor<[1,1,3136,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (1536, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,64,bf16]>
tensor<[256,64,1,1,bf16]>
tensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (16384, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,64,bf16]>
tensor<[64,64,1,1,bf16]>
tensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (4096, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,64,bf16]>
tensor<[64,64,3,3,bf16]>
tensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4800,64,bf16]>
tensor<[32,64,3,3,bf16]>
tensor<[1,1,4800,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (6144, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 60 : i32
input_width: 80 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 32 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4800,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,64,bf16]>
tensor<[128,64,3,3,bf16]>
tensor<[1,1,4096,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (24576, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,64,bf16]>
tensor<[160,64,3,3,bf16]>
tensor<[1,1,1024,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (30720, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 160 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1024,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,64,bf16]>
tensor<[64,64,1,1,bf16]>
tensor<[1,1,4096,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (4096, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,64,bf16]>
tensor<[64,64,3,3,bf16]>
tensor<[1,1,4096,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (12288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 64 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,64,bf16]>
tensor<[64,64,4,4,bf16]>
tensor<[1,1,256,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 4 + d2, d3), memory_config: (16384, 4, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 4 : i32
kernel_width: 4 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 4 : i32
stride_width: 4 : i32
tensor<[1,1,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5329,64,bf16]>
tensor<[64,64,1,7,bf16]>
tensor<[1,1,5329,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (4096, 7, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 73 : i32
input_width: 73 : i32
kernel_height: 1 : i32
kernel_width: 7 : i32
out_channels: 64 : i32
padding_height: 0 : i32
padding_width: 3 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5329,64,bf16]>
tensor<[64,64,7,1,bf16]>
tensor<[1,1,5329,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 7 + d2, d3), memory_config: (28672, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 73 : i32
input_width: 73 : i32
kernel_height: 7 : i32
kernel_width: 1 : i32
out_channels: 64 : i32
padding_height: 3 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,5329,64,bf16]>
tensor<[96,64,3,3,bf16]>
tensor<[1,1,5041,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 3 + d2, d3), memory_config: (18432, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (5041, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 73 : i32
input_width: 73 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,5041,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (5041, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,6400,64,f32]>
tensor<[24,64,1,1,f32]>
tensor<[1,1,6400,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 6400 + d2, d3), memory_config: (200, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (1536, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 64 : i32
input_height: 80 : i32
input_width: 80 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,6400,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,654,bf16]>
tensor<[640,654,1,1,bf16]>
tensor<[1,1,196,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 654 + d1 + d2, d3), memory_config: (418560, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 654 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 640 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,672,f32]>
tensor<[80,672,1,1,f32]>
tensor<[1,1,100,80,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 21, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (53760, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,672,bf16]>
tensor<[112,672,1,1,bf16]>
tensor<[1,1,196,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (75264, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 112 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,672,bf16]>
tensor<[128,672,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (86016, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,672,bf16]>
tensor<[56,672,1,1,bf16]>
tensor<[1,1,196,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (37632, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 56 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,672,bf16]>
tensor<[672,1,3,3,bf16]>
tensor<[1,1,196,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (2016, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 672 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,672,bf16]>
tensor<[672,1,5,5,bf16]>
tensor<[1,1,196,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (3360, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 672 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,672,bf16]>
tensor<[672,1,5,5,bf16]>
tensor<[1,1,49,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (3360, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 672 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,225,672,bf16]>
tensor<[112,672,1,1,bf16]>
tensor<[1,1,225,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (75264, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 15 : i32
input_width: 15 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 112 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,225,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,225,672,bf16]>
tensor<[672,1,5,5,bf16]>
tensor<[1,1,225,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (3360, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 15 : i32
input_width: 15 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 672 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,225,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,672,bf16]>
tensor<[672,1,5,5,bf16]>
tensor<[1,1,49,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (3360, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,672,bf16]>
tensor<[672,1,5,5,bf16]>
tensor<[1,1,64,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (3360, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,64,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,672,bf16]>
tensor<[168,672,1,1,bf16]>
tensor<[1,1,1,168,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (112896, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 168, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 168 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 168, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,672,f32]>
tensor<[112,672,1,1,f32]>
tensor<[1,1,400,112,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (75264, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 112 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,672,f32]>
tensor<[24,672,1,1,f32]>
tensor<[1,1,400,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (16128, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 24, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 24, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,672,f32]>
tensor<[546,672,1,1,f32]>
tensor<[1,1,400,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (366912, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 546, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 546 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 546, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,672,f32]>
tensor<[672,1,3,3,f32]>
tensor<[1,1,400,672,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (2016, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 672 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,672,f32]>
tensor<[672,1,5,5,f32]>
tensor<[1,1,100,672,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (3360, 5, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 672, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 672 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,100,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 672, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,576,672,bf16]>
tensor<[112,672,1,1,bf16]>
tensor<[1,1,576,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (75264, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 24 : i32
input_width: 24 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 112 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,576,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,576,672,bf16]>
tensor<[160,672,1,1,bf16]>
tensor<[1,1,576,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (107520, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 24 : i32
input_width: 24 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,576,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,576,672,bf16]>
tensor<[672,1,3,3,bf16]>
tensor<[1,1,576,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (2016, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 24 : i32
input_width: 24 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 672 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,576,672,bf16]>
tensor<[672,1,5,5,bf16]>
tensor<[1,1,576,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (3360, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 24 : i32
input_width: 24 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 672 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,672,bf16]>
tensor<[1344,672,1,1,bf16]>
tensor<[1,1,784,1344,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (903168, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1344, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1344 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1344, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,672,bf16]>
tensor<[1344,672,1,1,bf16]>
tensor<[1,1,196,1344,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (903168, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1344 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,672,bf16]>
tensor<[672,168,3,3,bf16]>
tensor<[1,1,784,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 3 + d2, d3), memory_config: (338688, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 4 : i32
in_channels: 672 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 672 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,672,bf16]>
tensor<[672,672,1,1,bf16]>
tensor<[1,1,784,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (451584, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,672,bf16]>
tensor<[672,168,3,3,bf16]>
tensor<[1,1,784,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 3 + d2, d3), memory_config: (338688, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 4 : i32
in_channels: 672 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 672 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,672,bf16]>
tensor<[160,672,1,1,bf16]>
tensor<[1,1,49,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (107520, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,672,bf16]>
tensor<[192,672,1,1,bf16]>
tensor<[1,1,49,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (129024, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,672,bf16]>
tensor<[672,1,1,5,bf16]>
tensor<[1,1,49,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (672, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 5 : i32
out_channels: 672 : i32
padding_height: 0 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,672,bf16]>
tensor<[672,1,5,1,bf16]>
tensor<[1,1,49,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (3360, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 672 : i32
in_channels: 672 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 5 : i32
kernel_width: 1 : i32
out_channels: 672 : i32
padding_height: 2 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,672,bf16]>
tensor<[80,672,1,1,bf16]>
tensor<[1,1,49,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (53760, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,64,672,bf16]>
tensor<[192,672,1,1,bf16]>
tensor<[1,1,64,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (129024, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 672 : i32
input_height: 8 : i32
input_width: 8 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,64,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,68,bf16]>
tensor<[40,68,3,3,bf16]>
tensor<[1,1,196,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 3 + d2, d3), memory_config: (8160, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 68 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 40 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,696,bf16]>
tensor<[174,696,1,1,bf16]>
tensor<[1,1,1,174,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (121104, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 696 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 174 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,696,bf16]>
tensor<[58,696,1,1,bf16]>
tensor<[1,1,1,58,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (40368, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 696 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 58 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,696,bf16]>
tensor<[1392,696,1,1,bf16]>
tensor<[1,1,784,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (968832, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1392, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 696 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1392 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1392, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,696,bf16]>
tensor<[1392,696,1,1,bf16]>
tensor<[1,1,196,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (968832, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 696 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1392 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,696,bf16]>
tensor<[696,232,3,3,bf16]>
tensor<[1,1,784,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 3 + d2, d3), memory_config: (484416, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3 : i32
in_channels: 696 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 696 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,696,bf16]>
tensor<[696,696,1,1,bf16]>
tensor<[1,1,784,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (484416, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 696 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 696 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,696,bf16]>
tensor<[696,232,3,3,bf16]>
tensor<[1,1,784,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 22, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 3 + d2, d3), memory_config: (484416, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 3 : i32
in_channels: 696 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 696 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,704,bf16]>
tensor<[128,704,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 22, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 704 + d1 + d2, d3), memory_config: (90112, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 704 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,720,bf16]>
tensor<[120,720,1,1,bf16]>
tensor<[1,1,289,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (86400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 720 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 120 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,720,bf16]>
tensor<[720,1,5,5,bf16]>
tensor<[1,1,289,720,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (3600, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 720 : i32
in_channels: 720 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 720 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,441,720,bf16]>
tensor<[720,1,5,5,bf16]>
tensor<[1,1,81,720,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 441 + d1 * 441 + d2, d3), memory_config: (14, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (3600, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 720, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 720 : i32
in_channels: 720 : i32
input_height: 21 : i32
input_width: 21 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 720 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,81,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 720, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,81,720,bf16]>
tensor<[208,720,1,1,bf16]>
tensor<[1,1,81,208,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (149760, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 720 : i32
input_height: 9 : i32
input_width: 9 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 208 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,81,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,728,bf16]>
tensor<[1024,728,1,1,bf16]>
tensor<[1,1,361,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (745472, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 728 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,728,bf16]>
tensor<[1024,728,1,1,bf16]>
tensor<[1,1,100,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (745472, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 728 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,728,bf16]>
tensor<[728,1,3,3,bf16]>
tensor<[1,1,361,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (2184, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 728 : i32
in_channels: 728 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 728 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,728,bf16]>
tensor<[728,728,1,1,bf16]>
tensor<[1,1,361,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (529984, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 728 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 728 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,728,bf16]>
tensor<[728,1,3,3,bf16]>
tensor<[1,1,1444,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (2184, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 728 : i32
in_channels: 728 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 728 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,728,bf16]>
tensor<[728,1,3,3,bf16]>
tensor<[1,1,361,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (2184, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 728 : i32
in_channels: 728 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 728 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,728,bf16]>
tensor<[728,728,1,1,bf16]>
tensor<[1,1,1444,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (529984, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 728 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 728 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1444,728,bf16]>
tensor<[728,728,1,1,bf16]>
tensor<[1,1,361,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (529984, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 728 : i32
input_height: 38 : i32
input_width: 38 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 728 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,72,bf16]>
tensor<[128,72,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (9216, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,72,bf16]>
tensor<[144,72,3,3,bf16]>
tensor<[1,1,49,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 3 + d2, d3), memory_config: (31104, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 144 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,72,bf16]>
tensor<[18,72,1,1,bf16]>
tensor<[1,1,196,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (1296, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 18 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,72,bf16]>
tensor<[36,72,1,1,bf16]>
tensor<[1,1,196,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (2592, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 36 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,72,bf16]>
tensor<[512,72,1,1,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (36864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,72,bf16]>
tensor<[72,72,3,3,bf16]>
tensor<[1,1,196,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 3 + d2, d3), memory_config: (15552, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 72 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,72,bf16]>
tensor<[20,72,1,1,bf16]>
tensor<[1,1,1,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (1440, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 20, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 20 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 20, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,72,bf16]>
tensor<[24,72,1,1,bf16]>
tensor<[1,1,1,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (1728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,72,bf16]>
tensor<[20,72,1,1,bf16]>
tensor<[1,1,784,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (1440, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 20 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,72,bf16]>
tensor<[40,72,1,1,bf16]>
tensor<[1,1,784,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (2880, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,72,bf16]>
tensor<[72,1,1,5,bf16]>
tensor<[1,1,784,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (72, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 72 : i32
in_channels: 72 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 5 : i32
out_channels: 72 : i32
padding_height: 0 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,72,bf16]>
tensor<[72,1,5,1,bf16]>
tensor<[1,1,784,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (360, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 72 : i32
in_channels: 72 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 5 : i32
kernel_width: 1 : i32
out_channels: 72 : i32
padding_height: 2 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1600,72,f32]>
tensor<[40,72,1,1,f32]>
tensor<[1,1,1600,40,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (2880, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 40 : i32
input_width: 40 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 40 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1600,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,72,bf16]>
tensor<[12,72,1,1,bf16]>
tensor<[1,1,3136,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (864, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 12 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,72,bf16]>
tensor<[24,72,1,1,bf16]>
tensor<[1,1,3136,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (1728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,72,bf16]>
tensor<[72,1,3,3,bf16]>
tensor<[1,1,3136,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (216, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 72 : i32
in_channels: 72 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 72 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,72,bf16]>
tensor<[72,1,5,5,bf16]>
tensor<[1,1,784,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (360, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 72 : i32
in_channels: 72 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 72 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,6400,72,f32]>
tensor<[24,72,1,1,f32]>
tensor<[1,1,6400,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 6400 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (1728, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 72 : i32
input_height: 80 : i32
input_width: 80 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,6400,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,6400,72,f32]>
tensor<[72,1,3,3,f32]>
tensor<[1,1,6400,72,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 6400 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (216, 3, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 72 : i32
in_channels: 72 : i32
input_height: 80 : i32
input_width: 80 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 72 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,6400,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,6400,72,f32]>
tensor<[72,1,5,5,f32]>
tensor<[1,1,1600,72,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 6400 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (360, 5, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 72, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 72 : i32
in_channels: 72 : i32
input_height: 80 : i32
input_width: 80 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 72 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,1600,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 72, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,736,bf16]>
tensor<[128,736,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 736 + d1 + d2, d3), memory_config: (94208, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 736 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,736,bf16]>
tensor<[512,736,1,1,bf16]>
tensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 23, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 736 + d1 + d2, d3), memory_config: (376832, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 736 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 512 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,740,bf16]>
tensor<[334,740,3,3,bf16]>
tensor<[1,1,196,334,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2220 + d1 * 3 + d2, d3), memory_config: (741480, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 334, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 740 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 334 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,334,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 334, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,768,bf16]>
tensor<[128,768,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (98304, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 768 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,768,bf16]>
tensor<[768,768,1,1,bf16]>
tensor<[1,1,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (589824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 768 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 768 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,257,768,bf16]>
tensor<[27,768,1,1,bf16]>
tensor<[1,1,257,27,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 * 257 + d2, d3), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (20736, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 27, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 768 : i32
input_height: 257 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 27 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,257,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 27, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,257,768,bf16]>
tensor<[768,96,1,1,bf16]>
tensor<[1,1,257,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 * 257 + d2, d3), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (73728, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 8 : i32
in_channels: 768 : i32
input_height: 257 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 768 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,257,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3000,768,bf16]>
tensor<[768,768,3,1,bf16]>
tensor<[1,1,1500,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 * 3000 + d2, d3), memory_config: (94, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 3 + d2, d3), memory_config: (1769472, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 + d2, d3), memory_config: (1500, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 768 : i32
input_height: 3000 : i32
input_width: 1 : i32
kernel_height: 3 : i32
kernel_width: 1 : i32
out_channels: 768 : i32
padding_height: 1 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 1 : i32
tensor<[1,1,1500,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 + d2, d3), memory_config: (1500, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,768,bf16]>
tensor<[256,768,1,1,bf16]>
tensor<[1,1,1024,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (196608, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 768 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,768,bf16]>
tensor<[224,768,1,1,bf16]>
tensor<[1,1,49,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (172032, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 768 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 224 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,8,768,bf16]>
tensor<[3072,192,1,1,bf16]>
tensor<[1,1,8,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (589824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 3072, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 4 : i32
in_channels: 768 : i32
input_height: 8 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 3072 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,8,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 3072, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,8,768,bf16]>
tensor<[768,192,1,1,bf16]>
tensor<[1,1,8,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (147456, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 4 : i32
in_channels: 768 : i32
input_height: 8 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 768 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,8,768,bf16]>
tensor<[768,768,1,1,bf16]>
tensor<[1,1,8,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (589824, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 768 : i32
input_height: 8 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 768 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,782,bf16]>
tensor<[1024,782,1,1,bf16]>
tensor<[1,1,49,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 25, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 782 + d1 + d2, d3), memory_config: (800768, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 782 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1024 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,78,bf16]>
tensor<[16,78,3,3,bf16]>
tensor<[1,1,784,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 234 + d1 * 3 + d2, d3), memory_config: (3744, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 78 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 16 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,78,bf16]>
tensor<[34,78,3,3,bf16]>
tensor<[1,1,784,34,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 234 + d1 * 3 + d2, d3), memory_config: (7956, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 78 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 34 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,78,bf16]>
tensor<[24,78,3,3,bf16]>
tensor<[1,1,3136,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 234 + d1 * 3 + d2, d3), memory_config: (5616, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 78 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 24 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,800,bf16]>
tensor<[128,800,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 25, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 + d2, d3), memory_config: (102400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 800 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,800,bf16]>
tensor<[272,800,3,3,bf16]>
tensor<[1,1,49,272,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 25, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 3 + d2, d3), memory_config: (652800, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 272, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 800 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 272 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 272, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,80,f32]>
tensor<[480,80,1,1,f32]>
tensor<[1,1,100,480,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (38400, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 480 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,80,bf16]>
tensor<[100,80,1,1,bf16]>
tensor<[1,1,196,100,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (8000, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 100, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 100 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,100,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 100, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,80,bf16]>
tensor<[112,80,1,1,bf16]>
tensor<[1,1,196,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (8960, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 112 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,80,bf16]>
tensor<[184,80,1,1,bf16]>
tensor<[1,1,196,184,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (14720, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 184 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,80,bf16]>
tensor<[200,80,1,1,bf16]>
tensor<[1,1,196,200,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (16000, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 200 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,80,bf16]>
tensor<[240,80,1,1,bf16]>
tensor<[1,1,196,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (19200, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 240 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,80,bf16]>
tensor<[480,80,1,1,bf16]>
tensor<[1,1,196,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (38400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 480 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,80,bf16]>
tensor<[80,1,3,3,bf16]>
tensor<[1,1,196,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (240, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 80 : i32
in_channels: 80 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 80 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,80,bf16]>
tensor<[92,80,1,1,bf16]>
tensor<[1,1,196,92,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (7360, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 92 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,225,80,bf16]>
tensor<[480,80,1,1,bf16]>
tensor<[1,1,225,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (38400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 15 : i32
input_width: 15 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 480 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,80,f32]>
tensor<[184,80,1,1,f32]>
tensor<[1,1,400,184,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (14720, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 184 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,80,f32]>
tensor<[200,80,1,1,f32]>
tensor<[1,1,400,200,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (16000, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 200 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,400,80,f32]>
tensor<[480,80,1,1,f32]>
tensor<[1,1,400,480,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (38400, 1, 'f32', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 20 : i32
input_width: 20 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 480 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,400,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')nannan
ttnn.conv2dtensor<[1,1,3000,80,bf16]>
tensor<[768,80,3,1,bf16]>
tensor<[1,1,3000,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 * 3000 + d2, d3), memory_config: (94, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 3 + d2, d3), memory_config: (184320, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (3000, 768, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 3000 : i32
input_width: 1 : i32
kernel_height: 3 : i32
kernel_width: 1 : i32
out_channels: 768 : i32
padding_height: 1 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3000,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (3000, 768, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,80,bf16]>
tensor<[184,80,1,1,bf16]>
tensor<[1,1,49,184,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (14720, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 184 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,80,bf16]>
tensor<[200,80,1,1,bf16]>
tensor<[1,1,49,200,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (16000, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 200 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,80,bf16]>
tensor<[480,80,1,1,bf16]>
tensor<[1,1,49,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (38400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 80 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 480 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,80,bf16]>
tensor<[80,1,3,3,bf16]>
tensor<[1,1,49,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (240, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 80 : i32
in_channels: 80 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 80 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,100,816,bf16]>
tensor<[232,816,1,1,bf16]>
tensor<[1,1,100,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (189312, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 816 : i32
input_height: 10 : i32
input_width: 10 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 232 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,100,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,816,bf16]>
tensor<[136,816,1,1,bf16]>
tensor<[1,1,361,136,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (110976, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 816 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 136 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,816,bf16]>
tensor<[816,1,5,5,bf16]>
tensor<[1,1,361,816,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (4080, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 816 : i32
in_channels: 816 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 816 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,529,816,bf16]>
tensor<[816,1,5,5,bf16]>
tensor<[1,1,100,816,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 529 + d1 * 529 + d2, d3), memory_config: (17, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (4080, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 816, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 816 : i32
in_channels: 816 : i32
input_height: 23 : i32
input_width: 23 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 816 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,100,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 816, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,832,bf16]>
tensor<[128,832,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (106496, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 832 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,832,bf16]>
tensor<[128,832,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (106496, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 832 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,832,bf16]>
tensor<[160,832,1,1,bf16]>
tensor<[1,1,49,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (133120, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 832 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,832,bf16]>
tensor<[192,832,1,1,bf16]>
tensor<[1,1,49,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (159744, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 832 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 192 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,832,bf16]>
tensor<[256,832,1,1,bf16]>
tensor<[1,1,49,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (212992, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 832 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,832,bf16]>
tensor<[32,832,1,1,bf16]>
tensor<[1,1,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (26624, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 832 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 32 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,832,bf16]>
tensor<[384,832,1,1,bf16]>
tensor<[1,1,49,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (319488, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 832 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 384 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,832,bf16]>
tensor<[48,832,1,1,bf16]>
tensor<[1,1,49,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (39936, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 48, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 832 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 48 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 48, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,864,bf16]>
tensor<[128,864,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 27, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 + d2, d3), memory_config: (110592, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 864 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,289,88,bf16]>
tensor<[528,88,1,1,bf16]>
tensor<[1,1,289,528,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 + d2, d3), memory_config: (46464, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 88 : i32
input_height: 17 : i32
input_width: 17 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 528 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,896,bf16]>
tensor<[128,896,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 28, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (114688, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 896 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,896,bf16]>
tensor<[256,896,1,1,bf16]>
tensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 28, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (229376, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 896 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 256 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,896,bf16]>
tensor<[128,896,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 28, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (114688, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 896 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,8,bf16]>
tensor<[8,1,3,3,bf16]>
tensor<[1,1,12544,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (24, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 8 : i32
in_channels: 8 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 8 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,12544,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,8,bf16]>
tensor<[232,8,1,1,bf16]>
tensor<[1,1,1,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1856, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 8 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 232 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,928,bf16]>
tensor<[128,928,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (118784, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 928 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,928,bf16]>
tensor<[128,928,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (118784, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 928 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,92,bf16]>
tensor<[92,1,3,3,bf16]>
tensor<[1,1,196,92,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (276, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 92 : i32
in_channels: 92 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 92 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,94,bf16]>
tensor<[28,94,3,3,bf16]>
tensor<[1,1,784,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 282 + d1 * 3 + d2, d3), memory_config: (7896, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 94 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 28 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,144,960,bf16]>
tensor<[272,960,1,1,bf16]>
tensor<[1,1,144,272,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (261120, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 12 : i32
input_width: 12 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 272 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,144,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,960,bf16]>
tensor<[128,960,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (122880, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,960,bf16]>
tensor<[1280,960,1,1,bf16]>
tensor<[1,1,1,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (1228800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1280, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 1280 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1280, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1,960,bf16]>
tensor<[240,960,1,1,bf16]>
tensor<[1,1,1,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (230400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 240, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 1 : i32
input_width: 1 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 240 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 240, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,576,960,bf16]>
tensor<[160,960,1,1,bf16]>
tensor<[1,1,576,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (153600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 24 : i32
input_width: 24 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,576,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,576,960,bf16]>
tensor<[960,1,5,5,bf16]>
tensor<[1,1,576,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (4800, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 960 : i32
in_channels: 960 : i32
input_height: 24 : i32
input_width: 24 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 960 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,576,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,729,960,bf16]>
tensor<[960,1,5,5,bf16]>
tensor<[1,1,144,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 729 + d1 * 729 + d2, d3), memory_config: (23, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (4800, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 960, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 960 : i32
in_channels: 960 : i32
input_height: 27 : i32
input_width: 27 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 960 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,144,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 960, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,960,bf16]>
tensor<[640,960,1,1,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (614400, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 640 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1024,960,bf16]>
tensor<[640,960,3,3,bf16]>
tensor<[1,1,1024,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (1843200, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 32 : i32
input_width: 32 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 640 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9,960,bf16]>
tensor<[960,1,1,5,bf16]>
tensor<[1,1,9,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (960, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 960 : i32
in_channels: 960 : i32
input_height: 3 : i32
input_width: 3 : i32
kernel_height: 1 : i32
kernel_width: 5 : i32
out_channels: 960 : i32
padding_height: 0 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,9,960,bf16]>
tensor<[960,1,5,1,bf16]>
tensor<[1,1,9,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (4800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 960 : i32
in_channels: 960 : i32
input_height: 3 : i32
input_width: 3 : i32
kernel_height: 5 : i32
kernel_width: 1 : i32
out_channels: 960 : i32
padding_height: 2 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,960,bf16]>
tensor<[320,960,1,1,bf16]>
tensor<[1,1,4096,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (307200, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 320 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4096,960,bf16]>
tensor<[320,960,3,3,bf16]>
tensor<[1,1,4096,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (921600, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 64 : i32
input_width: 64 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 320 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,960,bf16]>
tensor<[128,960,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (122880, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,960,bf16]>
tensor<[160,960,1,1,bf16]>
tensor<[1,1,49,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (153600, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 160 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,960,bf16]>
tensor<[320,960,1,1,bf16]>
tensor<[1,1,49,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (307200, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 320 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,960,bf16]>
tensor<[80,960,1,1,bf16]>
tensor<[1,1,49,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (76800, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 960 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 80 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,960,bf16]>
tensor<[960,1,3,3,bf16]>
tensor<[1,1,49,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (2880, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 960 : i32
in_channels: 960 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 960 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,960,bf16]>
tensor<[960,1,5,5,bf16]>
tensor<[1,1,49,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (4800, 5, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 960 : i32
in_channels: 960 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 5 : i32
kernel_width: 5 : i32
out_channels: 960 : i32
padding_height: 2 : i32
padding_width: 2 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12544,96,bf16]>
tensor<[96,1,3,3,bf16]>
tensor<[1,1,3136,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 96 : i32
in_channels: 96 : i32
input_height: 112 : i32
input_width: 112 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 96 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,12769,96,bf16]>
tensor<[96,1,3,3,bf16]>
tensor<[1,1,3136,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12769 + d1 * 12769 + d2, d3), memory_config: (400, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 96 : i32
in_channels: 96 : i32
input_height: 113 : i32
input_width: 113 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3136,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,14641,96,bf16]>
tensor<[96,1,3,3,bf16]>
tensor<[1,1,3600,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14641 + d1 * 14641 + d2, d3), memory_config: (458, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 96 : i32
in_channels: 96 : i32
input_height: 121 : i32
input_width: 121 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,3600,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,17161,96,bf16]>
tensor<[96,1,3,3,bf16]>
tensor<[1,1,4225,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17161 + d1 * 17161 + d2, d3), memory_config: (537, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (288, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 96 : i32
in_channels: 96 : i32
input_height: 131 : i32
input_width: 131 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 96 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 2 : i32
stride_width: 2 : i32
tensor<[1,1,4225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,96,bf16]>
tensor<[208,96,3,3,bf16]>
tensor<[1,1,196,208,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 3 + d2, d3), memory_config: (59904, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 208, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 96 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 208 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 208, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,96,bf16]>
tensor<[576,96,1,1,bf16]>
tensor<[1,1,196,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (55296, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 96 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 576 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,361,96,bf16]>
tensor<[576,96,1,1,bf16]>
tensor<[1,1,361,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (55296, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 96 : i32
input_height: 19 : i32
input_width: 19 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 576 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,96,bf16]>
tensor<[128,96,3,3,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 3 + d2, d3), memory_config: (36864, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 96 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 128 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,1225,96,bf16]>
tensor<[96,96,3,3,bf16]>
tensor<[1,1,1225,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 3 + d2, d3), memory_config: (27648, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 96 : i32
input_height: 35 : i32
input_width: 35 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 96 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,1225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,96,bf16]>
tensor<[128,96,1,1,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 96 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3136,96,bf16]>
tensor<[24,96,1,1,bf16]>
tensor<[1,1,3136,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (2304, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 96 : i32
input_height: 56 : i32
input_width: 56 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,3600,96,bf16]>
tensor<[24,96,1,1,bf16]>
tensor<[1,1,3600,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (2304, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 96 : i32
input_height: 60 : i32
input_width: 60 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,3600,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,4225,96,bf16]>
tensor<[24,96,1,1,bf16]>
tensor<[1,1,4225,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 4225 + d2, d3), memory_config: (133, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (2304, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 96 : i32
input_height: 65 : i32
input_width: 65 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 24 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,4225,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,784,98,bf16]>
tensor<[20,98,3,3,bf16]>
tensor<[1,1,784,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 294 + d1 * 3 + d2, d3), memory_config: (5880, 3, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 98 : i32
input_height: 28 : i32
input_width: 28 : i32
kernel_height: 3 : i32
kernel_width: 3 : i32
out_channels: 20 : i32
padding_height: 1 : i32
padding_width: 1 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,196,992,bf16]>
tensor<[128,992,1,1,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 31, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (126976, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 992 : i32
input_height: 14 : i32
input_width: 14 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.conv2dtensor<[1,1,49,992,bf16]>
tensor<[128,992,1,1,bf16]>
tensor<[1,1,49,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 31, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (126976, 1, 'bf16', 'system_memory')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')
batch_size: 1 : i32
dilation_height: 1 : i32
dilation_width: 1 : i32
groups: 1 : i32
in_channels: 992 : i32
input_height: 7 : i32
input_width: 7 : i32
kernel_height: 1 : i32
kernel_width: 1 : i32
out_channels: 128 : i32
padding_height: 0 : i32
padding_width: 0 : i32
stride_height: 1 : i32
stride_width: 1 : i32
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan

ttnn.cos

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.costensor<[1,13,128,f32]>
tensor<[1,13,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.costensor<[1,1,128,f32]>
tensor<[1,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.costensor<[1,32,128,f32]>
tensor<[1,32,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan

ttnn.div

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.divtensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[4,16,1,1,f32]>
tensor<[4,16,1,1,f32]>
tensor<[4,16,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[121,6,144,144,f32]>
tensor<[121,6,144,144,f32]>
tensor<[121,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[16,8,49,49,f32]>
tensor<[16,8,49,49,f32]>
tensor<[16,8,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,8,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,10,10,f32]>
tensor<[1,12,10,10,f32]>
tensor<[1,12,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,10,f32]>
tensor<[1,12,1,10,f32]>
tensor<[1,12,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,11,f32]>
tensor<[1,12,1,11,f32]>
tensor<[1,12,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,12,f32]>
tensor<[1,12,1,12,f32]>
tensor<[1,12,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,1,f32]>
tensor<[1,12,1,1,f32]>
tensor<[1,12,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,2,f32]>
tensor<[1,12,1,2,f32]>
tensor<[1,12,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,3,f32]>
tensor<[1,12,1,3,f32]>
tensor<[1,12,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,46,f32]>
tensor<[1,12,1,46,f32]>
tensor<[1,12,1,46,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,47,f32]>
tensor<[1,12,1,47,f32]>
tensor<[1,12,1,47,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,48,f32]>
tensor<[1,12,1,48,f32]>
tensor<[1,12,1,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,49,f32]>
tensor<[1,12,1,49,f32]>
tensor<[1,12,1,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,4,f32]>
tensor<[1,12,1,4,f32]>
tensor<[1,12,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,50,f32]>
tensor<[1,12,1,50,f32]>
tensor<[1,12,1,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,51,f32]>
tensor<[1,12,1,51,f32]>
tensor<[1,12,1,51,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,52,f32]>
tensor<[1,12,1,52,f32]>
tensor<[1,12,1,52,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,53,f32]>
tensor<[1,12,1,53,f32]>
tensor<[1,12,1,53,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,54,f32]>
tensor<[1,12,1,54,f32]>
tensor<[1,12,1,54,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,55,f32]>
tensor<[1,12,1,55,f32]>
tensor<[1,12,1,55,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,56,f32]>
tensor<[1,12,1,56,f32]>
tensor<[1,12,1,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,57,f32]>
tensor<[1,12,1,57,f32]>
tensor<[1,12,1,57,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,58,f32]>
tensor<[1,12,1,58,f32]>
tensor<[1,12,1,58,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,59,f32]>
tensor<[1,12,1,59,f32]>
tensor<[1,12,1,59,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,5,f32]>
tensor<[1,12,1,5,f32]>
tensor<[1,12,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,60,f32]>
tensor<[1,12,1,60,f32]>
tensor<[1,12,1,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,61,f32]>
tensor<[1,12,1,61,f32]>
tensor<[1,12,1,61,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,62,f32]>
tensor<[1,12,1,62,f32]>
tensor<[1,12,1,62,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,63,f32]>
tensor<[1,12,1,63,f32]>
tensor<[1,12,1,63,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,64,f32]>
tensor<[1,12,1,64,f32]>
tensor<[1,12,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,65,f32]>
tensor<[1,12,1,65,f32]>
tensor<[1,12,1,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,66,f32]>
tensor<[1,12,1,66,f32]>
tensor<[1,12,1,66,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,67,f32]>
tensor<[1,12,1,67,f32]>
tensor<[1,12,1,67,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,68,f32]>
tensor<[1,12,1,68,f32]>
tensor<[1,12,1,68,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,69,f32]>
tensor<[1,12,1,69,f32]>
tensor<[1,12,1,69,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,6,f32]>
tensor<[1,12,1,6,f32]>
tensor<[1,12,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,70,f32]>
tensor<[1,12,1,70,f32]>
tensor<[1,12,1,70,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,71,f32]>
tensor<[1,12,1,71,f32]>
tensor<[1,12,1,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,72,f32]>
tensor<[1,12,1,72,f32]>
tensor<[1,12,1,72,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,73,f32]>
tensor<[1,12,1,73,f32]>
tensor<[1,12,1,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,74,f32]>
tensor<[1,12,1,74,f32]>
tensor<[1,12,1,74,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,75,f32]>
tensor<[1,12,1,75,f32]>
tensor<[1,12,1,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,76,f32]>
tensor<[1,12,1,76,f32]>
tensor<[1,12,1,76,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,77,f32]>
tensor<[1,12,1,77,f32]>
tensor<[1,12,1,77,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,78,f32]>
tensor<[1,12,1,78,f32]>
tensor<[1,12,1,78,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,79,f32]>
tensor<[1,12,1,79,f32]>
tensor<[1,12,1,79,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,7,f32]>
tensor<[1,12,1,7,f32]>
tensor<[1,12,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,80,f32]>
tensor<[1,12,1,80,f32]>
tensor<[1,12,1,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,81,f32]>
tensor<[1,12,1,81,f32]>
tensor<[1,12,1,81,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,82,f32]>
tensor<[1,12,1,82,f32]>
tensor<[1,12,1,82,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,83,f32]>
tensor<[1,12,1,83,f32]>
tensor<[1,12,1,83,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,84,f32]>
tensor<[1,12,1,84,f32]>
tensor<[1,12,1,84,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,85,f32]>
tensor<[1,12,1,85,f32]>
tensor<[1,12,1,85,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,86,f32]>
tensor<[1,12,1,86,f32]>
tensor<[1,12,1,86,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,87,f32]>
tensor<[1,12,1,87,f32]>
tensor<[1,12,1,87,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,88,f32]>
tensor<[1,12,1,88,f32]>
tensor<[1,12,1,88,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,89,f32]>
tensor<[1,12,1,89,f32]>
tensor<[1,12,1,89,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,8,f32]>
tensor<[1,12,1,8,f32]>
tensor<[1,12,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,90,f32]>
tensor<[1,12,1,90,f32]>
tensor<[1,12,1,90,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,91,f32]>
tensor<[1,12,1,91,f32]>
tensor<[1,12,1,91,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,92,f32]>
tensor<[1,12,1,92,f32]>
tensor<[1,12,1,92,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,93,f32]>
tensor<[1,12,1,93,f32]>
tensor<[1,12,1,93,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,94,f32]>
tensor<[1,12,1,94,f32]>
tensor<[1,12,1,94,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,95,f32]>
tensor<[1,12,1,95,f32]>
tensor<[1,12,1,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,96,f32]>
tensor<[1,12,1,96,f32]>
tensor<[1,12,1,96,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,97,f32]>
tensor<[1,12,1,97,f32]>
tensor<[1,12,1,97,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,98,f32]>
tensor<[1,12,1,98,f32]>
tensor<[1,12,1,98,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,99,f32]>
tensor<[1,12,1,99,f32]>
tensor<[1,12,1,99,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,9,f32]>
tensor<[1,12,1,9,f32]>
tensor<[1,12,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,201,201,f32]>
tensor<[1,12,201,201,f32]>
tensor<[1,12,201,201,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,201,201,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,257,257,f32]>
tensor<[1,12,257,257,f32]>
tensor<[1,12,257,257,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,257,257,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,45,45,f32]>
tensor<[1,12,45,45,f32]>
tensor<[1,12,45,45,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,8,8,f32]>
tensor<[1,12,8,8,f32]>
tensor<[1,12,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,10,10,f32]>
tensor<[1,16,10,10,f32]>
tensor<[1,16,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,197,197,f32]>
tensor<[1,16,197,197,f32]>
tensor<[1,16,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,1,f32]>
tensor<[1,16,1,1,f32]>
tensor<[1,16,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,2,f32]>
tensor<[1,16,1,2,f32]>
tensor<[1,16,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,3,f32]>
tensor<[1,16,1,3,f32]>
tensor<[1,16,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,4,f32]>
tensor<[1,16,1,4,f32]>
tensor<[1,16,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,5,f32]>
tensor<[1,16,1,5,f32]>
tensor<[1,16,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,6,f32]>
tensor<[1,16,1,6,f32]>
tensor<[1,16,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,32,32,f32]>
tensor<[1,16,32,32,f32]>
tensor<[1,16,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,5,5,f32]>
tensor<[1,16,5,5,f32]>
tensor<[1,16,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1,16384,256,f32]>
tensor<[1,1,16384,256,f32]>
tensor<[1,1,16384,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16384,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1,19200,300,f32]>
tensor<[1,1,19200,300,f32]>
tensor<[1,1,19200,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,19200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,27,257,f32]>
tensor<[1,27,257,f32]>
tensor<[1,27,257,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,2,4096,256,f32]>
tensor<[1,2,4096,256,f32]>
tensor<[1,2,4096,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,4096,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,2,4800,300,f32]>
tensor<[1,2,4800,300,f32]>
tensor<[1,2,4800,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,4800,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,49,49,f32]>
tensor<[1,32,49,49,f32]>
tensor<[1,32,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,50257,f32]>
tensor<[1,50257,f32]>
tensor<[1,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,5,1024,256,f32]>
tensor<[1,5,1024,256,f32]>
tensor<[1,5,1024,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,5,1200,300,f32]>
tensor<[1,5,1200,300,f32]>
tensor<[1,5,1200,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,15,15,f32]>
tensor<[1,6,15,15,f32]>
tensor<[1,6,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,10,f32]>
tensor<[1,6,1,10,f32]>
tensor<[1,6,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,11,f32]>
tensor<[1,6,1,11,f32]>
tensor<[1,6,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,12,f32]>
tensor<[1,6,1,12,f32]>
tensor<[1,6,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,13,f32]>
tensor<[1,6,1,13,f32]>
tensor<[1,6,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,14,f32]>
tensor<[1,6,1,14,f32]>
tensor<[1,6,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,15,f32]>
tensor<[1,6,1,15,f32]>
tensor<[1,6,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,16,f32]>
tensor<[1,6,1,16,f32]>
tensor<[1,6,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,17,f32]>
tensor<[1,6,1,17,f32]>
tensor<[1,6,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,18,f32]>
tensor<[1,6,1,18,f32]>
tensor<[1,6,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,19,f32]>
tensor<[1,6,1,19,f32]>
tensor<[1,6,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,1,f32]>
tensor<[1,6,1,1,f32]>
tensor<[1,6,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,20,f32]>
tensor<[1,6,1,20,f32]>
tensor<[1,6,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,2,f32]>
tensor<[1,6,1,2,f32]>
tensor<[1,6,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,3,f32]>
tensor<[1,6,1,3,f32]>
tensor<[1,6,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,4,f32]>
tensor<[1,6,1,4,f32]>
tensor<[1,6,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,5,f32]>
tensor<[1,6,1,5,f32]>
tensor<[1,6,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,6,f32]>
tensor<[1,6,1,6,f32]>
tensor<[1,6,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,7,f32]>
tensor<[1,6,1,7,f32]>
tensor<[1,6,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,8,f32]>
tensor<[1,6,1,8,f32]>
tensor<[1,6,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,9,f32]>
tensor<[1,6,1,9,f32]>
tensor<[1,6,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,10,10,f32]>
tensor<[1,8,10,10,f32]>
tensor<[1,8,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,10,f32]>
tensor<[1,8,1,10,f32]>
tensor<[1,8,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,11,f32]>
tensor<[1,8,1,11,f32]>
tensor<[1,8,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,12,f32]>
tensor<[1,8,1,12,f32]>
tensor<[1,8,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,13,f32]>
tensor<[1,8,1,13,f32]>
tensor<[1,8,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,14,f32]>
tensor<[1,8,1,14,f32]>
tensor<[1,8,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,15,f32]>
tensor<[1,8,1,15,f32]>
tensor<[1,8,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,16,f32]>
tensor<[1,8,1,16,f32]>
tensor<[1,8,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,17,f32]>
tensor<[1,8,1,17,f32]>
tensor<[1,8,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,18,f32]>
tensor<[1,8,1,18,f32]>
tensor<[1,8,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,19,f32]>
tensor<[1,8,1,19,f32]>
tensor<[1,8,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,1,f32]>
tensor<[1,8,1,1,f32]>
tensor<[1,8,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,20,f32]>
tensor<[1,8,1,20,f32]>
tensor<[1,8,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,2,f32]>
tensor<[1,8,1,2,f32]>
tensor<[1,8,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,3,f32]>
tensor<[1,8,1,3,f32]>
tensor<[1,8,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,4,f32]>
tensor<[1,8,1,4,f32]>
tensor<[1,8,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,5,f32]>
tensor<[1,8,1,5,f32]>
tensor<[1,8,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,6,f32]>
tensor<[1,8,1,6,f32]>
tensor<[1,8,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,7,f32]>
tensor<[1,8,1,7,f32]>
tensor<[1,8,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,8,f32]>
tensor<[1,8,1,8,f32]>
tensor<[1,8,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,9,f32]>
tensor<[1,8,1,9,f32]>
tensor<[1,8,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,2048,256,f32]>
tensor<[1,8,2048,256,f32]>
tensor<[1,8,2048,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,2048,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,256,2048,f32]>
tensor<[1,8,256,2048,f32]>
tensor<[1,8,256,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,300,300,f32]>
tensor<[1,8,300,300,f32]>
tensor<[1,8,300,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,300,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[2,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[36,12,144,144,f32]>
tensor<[36,12,144,144,f32]>
tensor<[36,12,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[36,24,144,144,f32]>
tensor<[36,24,144,144,f32]>
tensor<[36,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[484,6,144,144,f32]>
tensor<[484,6,144,144,f32]>
tensor<[484,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[4,16,49,49,f32]>
tensor<[4,16,49,49,f32]>
tensor<[4,16,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[4,48,144,144,f32]>
tensor<[4,48,144,144,f32]>
tensor<[4,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[64,1,13,f32]>
tensor<[64,1,13,f32]>
tensor<[64,1,13,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[64,4,49,49,f32]>
tensor<[64,4,49,49,f32]>
tensor<[64,4,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,4,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[8,100,100,f32]>
tensor<[8,100,100,f32]>
tensor<[8,100,100,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,100,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[8,100,920,f32]>
tensor<[8,100,920,f32]>
tensor<[8,100,920,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[8,920,920,f32]>
tensor<[8,920,920,f32]>
tensor<[8,920,920,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,920,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[9,24,144,144,f32]>
tensor<[9,24,144,144,f32]>
tensor<[9,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[9,48,144,144,f32]>
tensor<[9,48,144,144,f32]>
tensor<[9,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,512,7,7,f32]>
tensor<[1,512,7,7,f32]>
tensor<[1,512,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1280,16,16,bf16]>
tensor<[1,1280,16,16,bf16]>
tensor<[1,1280,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,12,197,197,bf16]>
tensor<[1,12,197,197,bf16]>
tensor<[1,12,197,197,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,12,201,201,bf16]>
tensor<[1,12,201,201,bf16]>
tensor<[1,12,201,201,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,201,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,12,8,8,bf16]>
tensor<[1,12,8,8,bf16]>
tensor<[1,12,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,16,197,197,bf16]>
tensor<[1,16,197,197,bf16]>
tensor<[1,16,197,197,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,6,f32]>
tensor<[1,16,1,6,f32]>
tensor<[1,16,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,5,5,f32]>
tensor<[1,16,5,5,f32]>
tensor<[1,16,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1,16384,256,bf16]>
tensor<[1,1,16384,256,bf16]>
tensor<[1,1,16384,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1,19200,300,bf16]>
tensor<[1,1,19200,300,bf16]>
tensor<[1,1,19200,300,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,19200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,256,1280,bf16]>
tensor<[1,256,1280,bf16]>
tensor<[1,256,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,2,4096,256,bf16]>
tensor<[1,2,4096,256,bf16]>
tensor<[1,2,4096,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,2,4800,300,bf16]>
tensor<[1,2,4800,300,bf16]>
tensor<[1,2,4800,300,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,4800,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,320,64,64,bf16]>
tensor<[1,320,64,64,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,4096,320,bf16]>
tensor<[1,4096,320,bf16]>
tensor<[1,4096,320,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,50257,f32]>
tensor<[1,50257,f32]>
tensor<[1,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,512,bf16]>
tensor<[1,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,5,1024,256,bf16]>
tensor<[1,5,1024,256,bf16]>
tensor<[1,5,1024,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,5,1200,300,bf16]>
tensor<[1,5,1200,300,bf16]>
tensor<[1,5,1200,300,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,640,32,32,bf16]>
tensor<[1,640,32,32,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,64,1280,bf16]>
tensor<[1,64,1280,bf16]>
tensor<[1,64,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,8,2048,256,bf16]>
tensor<[1,8,2048,256,bf16]>
tensor<[1,8,2048,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,2048,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,8,256,2048,bf16]>
tensor<[1,8,256,2048,bf16]>
tensor<[1,8,256,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,8,256,256,bf16]>
tensor<[1,8,256,256,bf16]>
tensor<[1,8,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,8,300,300,bf16]>
tensor<[1,8,300,300,bf16]>
tensor<[1,8,300,300,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,300,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[2,512,bf16]>
tensor<[2,512,bf16]>
tensor<[2,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[3234,1,f32]>
tensor<[3234,1,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[3234,1,f32]>
tensor<[3234,1,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[3,320,320,f32]>
tensor<[3,320,320,f32]>
tensor<[3,320,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1024,512,f32]>
tensor<[1,1024,512,f32]>
tensor<[1,1024,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1024,6144,f32]>
tensor<[1,1024,6144,f32]>
tensor<[1,1024,6144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,10,3072,f32]>
tensor<[1,10,3072,f32]>
tensor<[1,10,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1200,1280,f32]>
tensor<[1,1200,1280,f32]>
tensor<[1,1200,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1370,5120,f32]>
tensor<[1,1370,5120,f32]>
tensor<[1,1370,5120,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1445,768,f32]>
tensor<[1,1445,768,f32]>
tensor<[1,1445,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,14,14,2048,f32]>
tensor<[1,14,14,2048,f32]>
tensor<[1,14,14,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1500,3072,f32]>
tensor<[1,1500,3072,f32]>
tensor<[1,1500,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16384,128,f32]>
tensor<[1,16384,128,f32]>
tensor<[1,16384,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16384,1536,f32]>
tensor<[1,16384,1536,f32]>
tensor<[1,16384,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,3072,f32]>
tensor<[1,16,3072,f32]>
tensor<[1,16,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,19200,256,f32]>
tensor<[1,19200,256,f32]>
tensor<[1,19200,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,196,3072,f32]>
tensor<[1,196,3072,f32]>
tensor<[1,196,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,197,3072,f32]>
tensor<[1,197,3072,f32]>
tensor<[1,197,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,197,4096,f32]>
tensor<[1,197,4096,f32]>
tensor<[1,197,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,201,3072,f32]>
tensor<[1,201,3072,f32]>
tensor<[1,201,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,4096,f32]>
tensor<[1,256,4096,f32]>
tensor<[1,256,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,5120,f32]>
tensor<[1,256,5120,f32]>
tensor<[1,256,5120,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,6144,f32]>
tensor<[1,256,6144,f32]>
tensor<[1,256,6144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,257,3072,f32]>
tensor<[1,257,3072,f32]>
tensor<[1,257,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,25,3072,f32]>
tensor<[1,25,3072,f32]>
tensor<[1,25,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,28,28,1024,f32]>
tensor<[1,28,28,1024,f32]>
tensor<[1,28,28,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,300,2048,f32]>
tensor<[1,300,2048,f32]>
tensor<[1,300,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,3072,8,f32]>
tensor<[1,3072,8,f32]>
tensor<[1,3072,8,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4096,1280,f32]>
tensor<[1,4096,1280,f32]>
tensor<[1,4096,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4096,256,f32]>
tensor<[1,4096,256,f32]>
tensor<[1,4096,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4096,3072,f32]>
tensor<[1,4096,3072,f32]>
tensor<[1,4096,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4800,512,f32]>
tensor<[1,4800,512,f32]>
tensor<[1,4800,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,56,56,512,f32]>
tensor<[1,56,56,512,f32]>
tensor<[1,56,56,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,64,5120,f32]>
tensor<[1,64,5120,f32]>
tensor<[1,64,5120,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,65536,768,f32]>
tensor<[1,65536,768,f32]>
tensor<[1,65536,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,768,1500,f32]>
tensor<[1,768,1500,f32]>
tensor<[1,768,1500,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,768,3000,f32]>
tensor<[1,768,3000,f32]>
tensor<[1,768,3000,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,768,384,f32]>
tensor<[1,768,384,f32]>
tensor<[1,768,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,7,18176,f32]>
tensor<[1,7,18176,f32]>
tensor<[1,7,18176,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,7,7,4096,f32]>
tensor<[1,7,7,4096,f32]>
tensor<[1,7,7,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[4,1,4096,f32]>
tensor<[4,1,4096,f32]>
tensor<[4,1,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1024,1,1,bf16]>
tensor<[1,1024,1,1,bf16]>
tensor<[1,1024,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,11,1,f32]>
tensor<[1,11,1,f32]>
tensor<[1,11,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,120,1,1,f32]>
tensor<[1,120,1,1,f32]>
tensor<[1,120,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,12,1,f32]>
tensor<[1,12,1,f32]>
tensor<[1,12,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1392,1,1,bf16]>
tensor<[1,1392,1,1,bf16]>
tensor<[1,1392,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,13,1,f32]>
tensor<[1,13,1,f32]>
tensor<[1,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,13,1,f32]>
tensor<[1,13,1,f32]>
tensor<[1,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,14,1,f32]>
tensor<[1,14,1,f32]>
tensor<[1,14,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1536,1,1,bf16]>
tensor<[1,1536,1,1,bf16]>
tensor<[1,1536,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,15,1,f32]>
tensor<[1,15,1,f32]>
tensor<[1,15,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,15,1,f32]>
tensor<[1,15,1,f32]>
tensor<[1,15,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1920,1,1,bf16]>
tensor<[1,1920,1,1,bf16]>
tensor<[1,1920,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1024,bf16]>
tensor<[1,1024,bf16]>
tensor<[1,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,768,bf16]>
tensor<[1,768,bf16]>
tensor<[1,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,2048,1,1,bf16]>
tensor<[1,2048,1,1,bf16]>
tensor<[1,2048,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,2048,1,1,bf16]>
tensor<[1,2048,1,1,bf16]>
tensor<[1,2048,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,232,1,1,bf16]>
tensor<[1,232,1,1,bf16]>
tensor<[1,232,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,2520,1,1,bf16]>
tensor<[1,2520,1,1,bf16]>
tensor<[1,2520,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,32,1,f32]>
tensor<[1,32,1,f32]>
tensor<[1,32,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,f32]>
tensor<[1,32,1,f32]>
tensor<[1,32,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,3712,1,1,bf16]>
tensor<[1,3712,1,1,bf16]>
tensor<[1,3712,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,480,1,1,f32]>
tensor<[1,480,1,1,f32]>
tensor<[1,480,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,480,1,1,f32]>
tensor<[1,480,1,1,f32]>
tensor<[1,480,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,512,bf16]>
tensor<[1,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,672,1,1,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,672,1,1,f32]>
tensor<[1,672,1,1,f32]>
tensor<[1,672,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,696,1,1,bf16]>
tensor<[1,696,1,1,bf16]>
tensor<[1,696,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,6,1,f32]>
tensor<[1,6,1,f32]>
tensor<[1,6,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,72,1,1,f32]>
tensor<[1,72,1,1,f32]>
tensor<[1,72,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,7,1,f32]>
tensor<[1,7,1,f32]>
tensor<[1,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,f32]>
tensor<[1,8,1,f32]>
tensor<[1,8,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[2,13,1,f32]>
tensor<[2,13,1,f32]>
tensor<[2,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.divtensor<[1,1,f32]>
tensor<[1,1,f32]>
tensor<[1,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1200,1,f32]>
tensor<[1,1200,1,f32]>
tensor<[1,1200,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,f32]>
tensor<[1,12,1,f32]>
tensor<[1,12,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,12,1,f32]>
tensor<[1,12,1,f32]>
tensor<[1,12,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1370,1,f32]>
tensor<[1,1370,1,f32]>
tensor<[1,1370,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1445,1,f32]>
tensor<[1,1445,1,f32]>
tensor<[1,1445,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,14,1,f32]>
tensor<[1,14,1,f32]>
tensor<[1,14,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,14,14,1,f32]>
tensor<[1,14,14,1,f32]>
tensor<[1,14,14,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,14,14,1,f32]>
tensor<[1,14,14,1,f32]>
tensor<[1,14,14,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,14,1,f32]>
tensor<[1,14,1,f32]>
tensor<[1,14,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1500,1,f32]>
tensor<[1,1500,1,f32]>
tensor<[1,1500,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1,f32]>
tensor<[1,1,f32]>
tensor<[1,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,16,1,f32]>
tensor<[1,16,1,f32]>
tensor<[1,16,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,19200,1,f32]>
tensor<[1,19200,1,f32]>
tensor<[1,19200,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,196,1,f32]>
tensor<[1,196,1,f32]>
tensor<[1,196,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,197,1,f32]>
tensor<[1,197,1,f32]>
tensor<[1,197,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,197,1,f32]>
tensor<[1,197,1,f32]>
tensor<[1,197,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,201,1,f32]>
tensor<[1,201,1,f32]>
tensor<[1,201,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,2048,1,f32]>
tensor<[1,2048,1,f32]>
tensor<[1,2048,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,257,1,f32]>
tensor<[1,257,1,f32]>
tensor<[1,257,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,25,1,f32]>
tensor<[1,25,1,f32]>
tensor<[1,25,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,27,1,f32]>
tensor<[1,27,1,f32]>
tensor<[1,27,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,28,28,1,f32]>
tensor<[1,28,28,1,f32]>
tensor<[1,28,28,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,28,28,1,f32]>
tensor<[1,28,28,1,f32]>
tensor<[1,28,28,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,f32]>
tensor<[1,32,1,f32]>
tensor<[1,32,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,45,1,f32]>
tensor<[1,45,1,f32]>
tensor<[1,45,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,4800,1,f32]>
tensor<[1,4800,1,f32]>
tensor<[1,4800,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,50,1,f32]>
tensor<[1,50,1,f32]>
tensor<[1,50,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,56,56,1,f32]>
tensor<[1,56,56,1,f32]>
tensor<[1,56,56,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,5,1,f32]>
tensor<[1,5,1,f32]>
tensor<[1,5,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,64,1,f32]>
tensor<[1,64,1,f32]>
tensor<[1,64,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,65536,1,f32]>
tensor<[1,65536,1,f32]>
tensor<[1,65536,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,6,1,f32]>
tensor<[1,6,1,f32]>
tensor<[1,6,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,1,f32]>
tensor<[1,1,f32]>
tensor<[1,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,7,1,f32]>
tensor<[1,7,1,f32]>
tensor<[1,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,7,1,f32]>
tensor<[1,7,1,f32]>
tensor<[1,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,7,7,1,f32]>
tensor<[1,7,7,1,f32]>
tensor<[1,7,7,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,7,7,1,f32]>
tensor<[1,7,7,1,f32]>
tensor<[1,7,7,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,8,1,f32]>
tensor<[1,8,1,f32]>
tensor<[1,8,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[2,7,1,f32]>
tensor<[2,7,1,f32]>
tensor<[2,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[4,1,1,f32]>
tensor<[4,1,1,f32]>
tensor<[4,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.divtensor<[920,1,1,f32]>
tensor<[920,1,1,f32]>
tensor<[920,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan

ttnn.embedding

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.embeddingtensor<[1,1,ui32]>
tensor<[151936,1536,bf16]>
tensor<[1,1,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4748, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,12,ui32]>
tensor<[151936,1536,bf16]>
tensor<[1,12,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4748, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,13,ui32]>
tensor<[152064,3584,bf16]>
tensor<[1,13,3584,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4752, 112, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')
tensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[2,1,ui32]>
tensor<[2048,128,bf16]>
tensor<[2,1,128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[2,1,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,1,ui32]>
tensor<[2050,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (65, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,6,ui32]>
tensor<[2050,1024,bf16]>
tensor<[1,6,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (65, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,10,ui32]>
tensor<[250002,768,bf16]>
tensor<[1,10,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7813, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,32,ui32]>
tensor<[250880,1536,bf16]>
tensor<[1,32,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7840, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,32,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,2048,ui32]>
tensor<[262,768,bf16]>
tensor<[1,2048,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2048, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,256,ui32]>
tensor<[2,1024,bf16]>
tensor<[1,256,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,12,ui32]>
tensor<[2,128,bf16]>
tensor<[1,12,128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,14,ui32]>
tensor<[2,128,bf16]>
tensor<[1,14,128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,9,ui32]>
tensor<[2,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,193,ui32]>
tensor<[2,768,bf16]>
tensor<[1,193,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 193, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 193 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,193,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 193 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,8,ui32]>
tensor<[2,768,bf16]>
tensor<[1,8,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,12,ui32]>
tensor<[30000,128,bf16]>
tensor<[1,12,128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (938, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,14,ui32]>
tensor<[30000,128,bf16]>
tensor<[1,14,128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (938, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,9,ui32]>
tensor<[30000,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (938, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,256,ui32]>
tensor<[30522,1024,bf16]>
tensor<[1,256,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (954, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,16,ui32]>
tensor<[30522,768,bf16]>
tensor<[1,16,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (954, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,25,ui32]>
tensor<[30522,768,bf16]>
tensor<[1,25,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (954, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,8,ui32]>
tensor<[30522,768,bf16]>
tensor<[1,8,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (954, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,8,ui32]>
tensor<[30528,768,bf16]>
tensor<[1,8,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (954, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,32,ui32]>
tensor<[32000,4096,bf16]>
tensor<[1,32,4096,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1000, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
tensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,1,ui32]>
tensor<[32128,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1004, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,10,ui32]>
tensor<[32128,1024,bf16]>
tensor<[1,10,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1004, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,1,ui32]>
tensor<[32128,512,bf16]>
tensor<[1,1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1004, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,10,ui32]>
tensor<[32128,512,bf16]>
tensor<[1,10,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1004, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,15,ui32]>
tensor<[32128,512,bf16]>
tensor<[1,15,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1004, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,1,ui32]>
tensor<[32128,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1004, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,10,ui32]>
tensor<[32128,768,bf16]>
tensor<[1,10,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1004, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[2,13,ui32]>
tensor<[32128,768,bf16]>
tensor<[2,13,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 13, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1004, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[2,13,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[2,7,ui32]>
tensor<[49408,512,bf16]>
tensor<[2,7,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 7, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1544, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,1,ui32]>
tensor<[50257,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1571, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,45,ui32]>
tensor<[50257,768,bf16]>
tensor<[1,45,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 45, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1571, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,7,ui32]>
tensor<[50257,768,bf16]>
tensor<[1,7,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1571, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,1,ui32]>
tensor<[50272,512,bf16]>
tensor<[1,1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1571, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,6,ui32]>
tensor<[50272,512,bf16]>
tensor<[1,6,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1571, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[1,6,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,10,ui32]>
tensor<[50280,1536,bf16]>
tensor<[1,10,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,10,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,11,ui32]>
tensor<[50280,1536,bf16]>
tensor<[1,11,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,11,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,12,ui32]>
tensor<[50280,1536,bf16]>
tensor<[1,12,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,13,ui32]>
tensor<[50280,1536,bf16]>
tensor<[1,13,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,13,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,14,ui32]>
tensor<[50280,1536,bf16]>
tensor<[1,14,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,14,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,15,ui32]>
tensor<[50280,1536,bf16]>
tensor<[1,15,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,15,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,6,ui32]>
tensor<[50280,1536,bf16]>
tensor<[1,6,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,6,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,7,ui32]>
tensor<[50280,1536,bf16]>
tensor<[1,7,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,7,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,8,ui32]>
tensor<[50280,1536,bf16]>
tensor<[1,8,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,8,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,9,ui32]>
tensor<[50280,1536,bf16]>
tensor<[1,9,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,9,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,1,ui32]>
tensor<[51200,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1600, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,5,ui32]>
tensor<[51200,1024,bf16]>
tensor<[1,5,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1600, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,10,ui32]>
tensor<[514,768,bf16]>
tensor<[1,10,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (17, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,1,ui32]>
tensor<[51865,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1621, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,7,ui32]>
tensor<[65024,4544,bf16]>
tensor<[1,7,4544,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2032, 142, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')
tensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,1,ui32]>
tensor<[2048,32,bf16]>
tensor<[1,1,32,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.embeddingtensor<[1,5,ui32]>
tensor<[2048,32,bf16]>
tensor<[1,5,32,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1,5,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan

ttnn.empty

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<1x12x12x12>
tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<1x12x12x12>
tensor<[1,12,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x12x14x14>
tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x12x14x14>
tensor<[1,12,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<563x47>>, >
shape: #ttnn.shape<1x12x1500x1500>
tensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<563x47>>, >
shape: #ttnn.shape<1x12x1500x1500>
tensor<[1,12,1500,1500,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x12x16x16>
tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x12x16x16>
tensor<[1,12,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<74x7>>, >
shape: #ttnn.shape<1x12x197x197>
tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<74x7>>, >
shape: #ttnn.shape<1x12x197x197>
tensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x13>
tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x13>
tensor<[1,12,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x14>
tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x14>
tensor<[1,12,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x15>
tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x15>
tensor<[1,12,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x16>
tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x16>
tensor<[1,12,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x17>
tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x17>
tensor<[1,12,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x18>
tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x18>
tensor<[1,12,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x19>
tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x19>
tensor<[1,12,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x20>
tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x20>
tensor<[1,12,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x21>
tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x21>
tensor<[1,12,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x22>
tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x22>
tensor<[1,12,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x23>
tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x23>
tensor<[1,12,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x24>
tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x24>
tensor<[1,12,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x25>
tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x25>
tensor<[1,12,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x26>
tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x26>
tensor<[1,12,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x27>
tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x27>
tensor<[1,12,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x28>
tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x28>
tensor<[1,12,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x29>
tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x29>
tensor<[1,12,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<1x12x25x25>
tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<1x12x25x25>
tensor<[1,12,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x2>>, >
shape: #ttnn.shape<1x12x50x50>
tensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x2>>, >
shape: #ttnn.shape<1x12x50x50>
tensor<[1,12,50,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x12x7x7>
tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x12x7x7>
tensor<[1,12,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x12x9x9>
tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x12x9x9>
tensor<[1,12,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<685x43>>, >
shape: #ttnn.shape<1x16x1370x1370>
tensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<685x43>>, >
shape: #ttnn.shape<1x16x1370x1370>
tensor<[1,16,1370,1370,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x10>
tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x10>
tensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x11>
tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x11>
tensor<[1,16,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x12>
tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x12>
tensor<[1,16,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x13>
tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x13>
tensor<[1,16,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x14>
tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x14>
tensor<[1,16,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x15>
tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x15>
tensor<[1,16,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x16>
tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x16>
tensor<[1,16,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x17>
tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x17>
tensor<[1,16,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x18>
tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x18>
tensor<[1,16,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x19>
tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x19>
tensor<[1,16,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x20>
tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x20>
tensor<[1,16,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x21>
tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x21>
tensor<[1,16,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x22>
tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x22>
tensor<[1,16,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x23>
tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x23>
tensor<[1,16,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x24>
tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x24>
tensor<[1,16,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x25>
tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x25>
tensor<[1,16,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x26>
tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x26>
tensor<[1,16,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x27>
tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x27>
tensor<[1,16,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x28>
tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x28>
tensor<[1,16,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x29>
tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x29>
tensor<[1,16,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x7>
tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x7>
tensor<[1,16,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x8>
tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x8>
tensor<[1,16,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x9>
tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x9>
tensor<[1,16,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x8>>, >
shape: #ttnn.shape<1x16x256x256>
tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x8>>, >
shape: #ttnn.shape<1x16x256x256>
tensor<[1,16,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x16x6x6>
tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x16x6x6>
tensor<[1,16,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<1x16x9x9>
tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<1x16x9x9>
tensor<[1,16,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x24x32x32>
tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x24x32x32>
tensor<[1,24,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x1>>, >
shape: #ttnn.shape<1x28x13x13>
tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x1>>, >
shape: #ttnn.shape<1x28x13x13>
tensor<[1,28,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x32x32x32>
tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x32x32x32>
tensor<[1,32,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<136x46>>, >
shape: #ttnn.shape<1x3x1445x1445>
tensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<136x46>>, >
shape: #ttnn.shape<1x3x1445x1445>
tensor<[1,3,1445,1445,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x64x9x9>
tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x64x9x9>
tensor<[1,64,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x71x7x7>
tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x71x7x7>
tensor<[1,71,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x32>>, >
shape: #ttnn.shape<1x8x1024x1024>
tensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x32>>, >
shape: #ttnn.shape<1x8x1024x1024>
tensor<[1,8,1024,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x8x1024x9>
tensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x8x1024x9>
tensor<[1,8,1024,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x8>>, >
shape: #ttnn.shape<1x8x256x256>
tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x8>>, >
shape: #ttnn.shape<1x8x256x256>
tensor<[1,8,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x8x256x9>
tensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x8x256x9>
tensor<[1,8,256,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >
shape: #ttnn.shape<1x8x4096x4096>
tensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >
shape: #ttnn.shape<1x8x4096x4096>
tensor<[1,8,4096,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x1>>, >
shape: #ttnn.shape<1x8x4096x9>
tensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x1>>, >
shape: #ttnn.shape<1x8x4096x9>
tensor<[1,8,4096,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x2>>, >
shape: #ttnn.shape<1x8x64x64>
tensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x2>>, >
shape: #ttnn.shape<1x8x64x64>
tensor<[1,8,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x8x64x9>
tensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x8x64x9>
tensor<[1,8,64,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<2x8x7x7>
tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<2x8x7x7>
tensor<[2,8,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<4x16x1x1>
tensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<4x16x1x1>
tensor<[4,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3267x5>>, >
shape: #ttnn.shape<121x6x144x144>
tensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x2>>, >
shape: #ttnn.shape<16x8x49x49>
tensor<[16,8,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x12x10x10>
tensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<74x7>>, >
shape: #ttnn.shape<1x12x197x197>
tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x10>
tensor<[1,12,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x11>
tensor<[1,12,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x12>
tensor<[1,12,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x13>
tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x14>
tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x15>
tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x16>
tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x17>
tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x18>
tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x19>
tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x1>
tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x20>
tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x2>
tensor<[1,12,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x3>
tensor<[1,12,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x46>
tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x47>
tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x48>
tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x49>
tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x4>
tensor<[1,12,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x50>
tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x51>
tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x52>
tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x53>
tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x54>
tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x55>
tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x56>
tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x57>
tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x58>
tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x59>
tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x5>
tensor<[1,12,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x60>
tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x61>
tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x62>
tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x63>
tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x64>
tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x65>
tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x66>
tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x67>
tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x68>
tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x69>
tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x6>
tensor<[1,12,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x70>
tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x71>
tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x72>
tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x73>
tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x74>
tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x75>
tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x76>
tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x77>
tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x78>
tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x79>
tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x7>
tensor<[1,12,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x80>
tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x81>
tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x82>
tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x83>
tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x84>
tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x85>
tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x86>
tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x87>
tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x88>
tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x89>
tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x8>
tensor<[1,12,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x90>
tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x91>
tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x92>
tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x93>
tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x94>
tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x95>
tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x96>
tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x97>
tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x98>
tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x99>
tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x9>
tensor<[1,12,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<76x7>>, >
shape: #ttnn.shape<1x12x201x201>
tensor<[1,12,201,201,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<97x9>>, >
shape: #ttnn.shape<1x12x257x257>
tensor<[1,12,257,257,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<17x2>>, >
shape: #ttnn.shape<1x12x45x45>
tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x12x8x8>
tensor<[1,12,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<1x16x10x10>
tensor<[1,16,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<99x7>>, >
shape: #ttnn.shape<1x16x197x197>
tensor<[1,16,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x10>
tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x11>
tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x12>
tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x13>
tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x14>
tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x15>
tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x16>
tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x17>
tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x18>
tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x19>
tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x1>
tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x20>
tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x21>
tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x22>
tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x23>
tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x24>
tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x2>
tensor<[1,16,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x3>
tensor<[1,16,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x4>
tensor<[1,16,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x5>
tensor<[1,16,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x6>
tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x7>
tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x8>
tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x9>
tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x16x32x32>
tensor<[1,16,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x16x5x5>
tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x1x16384x256>
tensor<[1,1,16384,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x10>>, >
shape: #ttnn.shape<1x1x19200x300>
tensor<[1,1,19200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x9>>, >
shape: #ttnn.shape<1x27x257>
tensor<[1,27,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x8>>, >
shape: #ttnn.shape<1x2x4096x256>
tensor<[1,2,4096,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x10>>, >
shape: #ttnn.shape<1x2x4800x300>
tensor<[1,2,4800,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x2>>, >
shape: #ttnn.shape<1x32x49x49>
tensor<[1,32,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1571>>, >
shape: #ttnn.shape<1x50257>
tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<160x8>>, >
shape: #ttnn.shape<1x5x1024x256>
tensor<[1,5,1024,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<188x10>>, >
shape: #ttnn.shape<1x5x1200x300>
tensor<[1,5,1200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x6x15x15>
tensor<[1,6,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x10>
tensor<[1,6,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x11>
tensor<[1,6,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x12>
tensor<[1,6,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x13>
tensor<[1,6,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x14>
tensor<[1,6,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x15>
tensor<[1,6,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x16>
tensor<[1,6,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x17>
tensor<[1,6,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x18>
tensor<[1,6,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x19>
tensor<[1,6,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x1>
tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x20>
tensor<[1,6,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x2>
tensor<[1,6,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x3>
tensor<[1,6,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x4>
tensor<[1,6,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x5>
tensor<[1,6,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x6>
tensor<[1,6,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x7>
tensor<[1,6,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x8>
tensor<[1,6,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x9>
tensor<[1,6,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x8x10x10>
tensor<[1,8,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x10>
tensor<[1,8,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x11>
tensor<[1,8,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x12>
tensor<[1,8,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x13>
tensor<[1,8,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x14>
tensor<[1,8,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x15>
tensor<[1,8,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x16>
tensor<[1,8,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x17>
tensor<[1,8,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x18>
tensor<[1,8,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x19>
tensor<[1,8,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x1>
tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x20>
tensor<[1,8,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x2>
tensor<[1,8,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x3>
tensor<[1,8,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x4>
tensor<[1,8,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x5>
tensor<[1,8,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x6>
tensor<[1,8,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x7>
tensor<[1,8,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x8>
tensor<[1,8,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x9>
tensor<[1,8,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x8x2048x256>
tensor<[1,8,2048,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x64>>, >
shape: #ttnn.shape<1x8x256x2048>
tensor<[1,8,256,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x8>>, >
shape: #ttnn.shape<1x8x256x256>
tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<75x10>>, >
shape: #ttnn.shape<1x8x300x300>
tensor<[1,8,300,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<2x12x13x13>
tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1944x5>>, >
shape: #ttnn.shape<36x12x144x144>
tensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3888x5>>, >
shape: #ttnn.shape<36x24x144x144>
tensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<13068x5>>, >
shape: #ttnn.shape<484x6x144x144>
tensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x2>>, >
shape: #ttnn.shape<4x16x49x49>
tensor<[4,16,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<864x5>>, >
shape: #ttnn.shape<4x48x144x144>
tensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<64x1x13>
tensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x2>>, >
shape: #ttnn.shape<64x4x49x49>
tensor<[64,4,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x4>>, >
shape: #ttnn.shape<8x100x100>
tensor<[8,100,100,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x29>>, >
shape: #ttnn.shape<8x100x920>
tensor<[8,100,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<230x29>>, >
shape: #ttnn.shape<8x920x920>
tensor<[8,920,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<972x5>>, >
shape: #ttnn.shape<9x24x144x144>
tensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1944x5>>, >
shape: #ttnn.shape<9x48x144x144>
tensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<100x1x1>
tensor<[100,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x8>>, >
shape: #ttnn.shape<100x1x256>
tensor<[100,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x8>>, >
shape: #ttnn.shape<100x1x256>
tensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x64>>, >
shape: #ttnn.shape<100x2048>
tensor<[100,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x8>>, >
shape: #ttnn.shape<100x256>
tensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<100x4>
tensor<[100,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x3>>, >
shape: #ttnn.shape<100x92>
tensor<[100,92,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1024x1536>
tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x5>>, >
shape: #ttnn.shape<1024x160>
tensor<[1024,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x96>>, >
shape: #ttnn.shape<1024x3072>
tensor<[1024,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x160>>, >
shape: #ttnn.shape<1024x5120>
tensor<[1024,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x192>>, >
shape: #ttnn.shape<1024x6144>
tensor<[1024,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1024x640>
tensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x24>>, >
shape: #ttnn.shape<1024x768>
tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x7813>>, >
shape: #ttnn.shape<10x250002>
tensor<[10,250002,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<10x3072>
tensor<[10,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<10x768>
tensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x40>>, >
shape: #ttnn.shape<1200x1280>
tensor<[1200,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x10>>, >
shape: #ttnn.shape<1200x320>
tensor<[1200,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6534x5>>, >
shape: #ttnn.shape<121x12x144x144>
tensor<[121,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3267x5>>, >
shape: #ttnn.shape<121x6x144x144>
tensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x48>>, >
shape: #ttnn.shape<1296x1536>
tensor<[1296,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x72>>, >
shape: #ttnn.shape<1296x2304>
tensor<[1296,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x144>>, >
shape: #ttnn.shape<1296x4608>
tensor<[1296,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x24>>, >
shape: #ttnn.shape<1296x768>
tensor<[1296,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<12x1536>
tensor<[12,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x8>>, >
shape: #ttnn.shape<12x256>
tensor<[12,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x2>
tensor<[12,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<12x3072>
tensor<[12,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<12x768>
tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1370x1280>
tensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x120>>, >
shape: #ttnn.shape<1370x3840>
tensor<[1370,3840,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x160>>, >
shape: #ttnn.shape<1370x5120>
tensor<[1370,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<13x2>
tensor<[13,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x112>>, >
shape: #ttnn.shape<13x3584>
tensor<[13,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<13x512>
tensor<[13,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1445x192>
tensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x24>>, >
shape: #ttnn.shape<1445x768>
tensor<[1445,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<14x2048>
tensor<[14,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<14x2>
tensor<[14,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<14x3072>
tensor<[14,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<14x512>
tensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<14x768>
tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x96>>, >
shape: #ttnn.shape<1500x3072>
tensor<[1500,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1500x768>
tensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<16384x128>
tensor<[16384,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x48>>, >
shape: #ttnn.shape<16384x1536>
tensor<[16384,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x6>>, >
shape: #ttnn.shape<16384x192>
tensor<[16384,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<16384x32>
tensor<[16384,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x12>>, >
shape: #ttnn.shape<16384x384>
tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x24>>, >
shape: #ttnn.shape<16384x768>
tensor<[16384,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<16x3072>
tensor<[16,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<16x768>
tensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x2>>, >
shape: #ttnn.shape<16x8x49x49>
tensor<[16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x36>>, >
shape: #ttnn.shape<17424x1152>
tensor<[17424,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x6>>, >
shape: #ttnn.shape<17424x192>
tensor<[17424,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x12>>, >
shape: #ttnn.shape<17424x384>
tensor<[17424,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x18>>, >
shape: #ttnn.shape<17424x576>
tensor<[17424,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x8>>, >
shape: #ttnn.shape<19200x256>
tensor<[19200,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<19200x64>
tensor<[19200,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x48>>, >
shape: #ttnn.shape<196x1536>
tensor<[196,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<196x3072>
tensor<[196,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<196x512>
tensor<[196,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<196x768>
tensor<[196,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<197x1024>
tensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<197x3072>
tensor<[197,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x128>>, >
shape: #ttnn.shape<197x4096>
tensor<[197,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<197x768>
tensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1>
tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x100x14x14>
tensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1024x10x10>
tensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1024x10x10>
tensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x1024x14x14>
tensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x1024x14x14>
tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1x1024x1536>
tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1x1024x1536>
tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x5>>, >
shape: #ttnn.shape<1x1024x160>
tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x5>>, >
shape: #ttnn.shape<1x1024x160>
tensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x1024x16x16>
tensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x1024x16x16>
tensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<608x1>>, >
shape: #ttnn.shape<1x1024x19x19>
tensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x1024x1>
tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x8>>, >
shape: #ttnn.shape<1x1024x256>
tensor<[1,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x1>>, >
shape: #ttnn.shape<1x1024x28x28>
tensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x96>>, >
shape: #ttnn.shape<1x1024x3072>
tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x3>>, >
shape: #ttnn.shape<1x1024x45x80>
tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x3>>, >
shape: #ttnn.shape<1x1024x45x80>
tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1x1024x640>
tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1x1024x640>
tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x24>>, >
shape: #ttnn.shape<1x1024x768>
tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x24>>, >
shape: #ttnn.shape<1x1024x768>
tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x1024x7x7>
tensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x1024x7x7>
tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<462x1>>, >
shape: #ttnn.shape<1x1056x14x14>
tensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<231x1>>, >
shape: #ttnn.shape<1x1056x7x7>
tensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<476x1>>, >
shape: #ttnn.shape<1x1088x14x14>
tensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x1088x7x7>
tensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x10x1024>
tensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x10x1536>
tensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10x1>
tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10x1>
tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x10x3072>
tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x10x512>
tensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<490x1>>, >
shape: #ttnn.shape<1x1120x14x14>
tensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<245x1>>, >
shape: #ttnn.shape<1x1120x7x7>
tensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x112x14x14>
tensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x112x14x14>
tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x112x15x15>
tensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x112x15x15>
tensor<[1,112,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x112x20x20>
tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x112x20x20>
tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x112x24x24>
tensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x112x24x24>
tensor<[1,112,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x112x7x7>
tensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x1>>, >
shape: #ttnn.shape<1x1152x14x14>
tensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x1152x7x7>
tensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<288x1>>, >
shape: #ttnn.shape<1x1152x8x8>
tensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<51x1>>, >
shape: #ttnn.shape<1x116x14x14>
tensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<518x1>>, >
shape: #ttnn.shape<1x1184x14x14>
tensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<259x1>>, >
shape: #ttnn.shape<1x1184x7x7>
tensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x11x1536>
tensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11x1>
tensor<[1,11,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x11x3072>
tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x1200x1>
tensor<[1,1200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x10>>, >
shape: #ttnn.shape<1x1200x320>
tensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x10>>, >
shape: #ttnn.shape<1x1200x320>
tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x120x14x14>
tensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x120x17x17>
tensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x120x17x17>
tensor<[1,120,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x120x28x28>
tensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x2>>, >
shape: #ttnn.shape<1x120x40x40>
tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<532x1>>, >
shape: #ttnn.shape<1x1216x14x14>
tensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<266x1>>, >
shape: #ttnn.shape<1x1216x7x7>
tensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6534x5>>, >
shape: #ttnn.shape<1x121x12x144x144>
tensor<[1,121,12,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3267x5>>, >
shape: #ttnn.shape<1x121x6x144x144>
tensor<[1,121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<546x1>>, >
shape: #ttnn.shape<1x1248x14x14>
tensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<273x1>>, >
shape: #ttnn.shape<1x1248x7x7>
tensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<351x1>>, >
shape: #ttnn.shape<1x1248x9x9>
tensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x40>>, >
shape: #ttnn.shape<1x1280>
tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<400x1>>, >
shape: #ttnn.shape<1x1280x10x10>
tensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<480x1>>, >
shape: #ttnn.shape<1x1280x12x12>
tensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<560x1>>, >
shape: #ttnn.shape<1x1280x14x14>
tensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x1>>, >
shape: #ttnn.shape<1x1280x32x32>
tensor<[1,1280,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x1280x7x7>
tensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x1>>, >
shape: #ttnn.shape<1x1280x9x9>
tensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x128>
tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x4>>, >
shape: #ttnn.shape<1x128x112x112>
tensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<1x128x128x128>
tensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<1x128x128x128>
tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x128x14x14>
tensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x5>>, >
shape: #ttnn.shape<1x128x150x150>
tensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<68x1>>, >
shape: #ttnn.shape<1x128x17x17>
tensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x10>>, >
shape: #ttnn.shape<1x128x180x320>
tensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x128x1x1>
tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x128x2x2>
tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x128x32x32>
tensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x128x32x32>
tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x1>>, >
shape: #ttnn.shape<1x128x3x3>
tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x2>>, >
shape: #ttnn.shape<1x128x56x56>
tensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x2>>, >
shape: #ttnn.shape<1x128x56x56>
tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x1>>, >
shape: #ttnn.shape<1x128x5x5>
tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x2>>, >
shape: #ttnn.shape<1x128x64x64>
tensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x3>>, >
shape: #ttnn.shape<1x128x75x75>
tensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x3>>, >
shape: #ttnn.shape<1x128x75x75>
tensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x128x7x7>
tensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x5>>, >
shape: #ttnn.shape<1x128x90x160>
tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x12x10x10>
tensor<[1,12,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x12x10x10>
tensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x12x10x10>
tensor<[1,12,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x4>>, >
shape: #ttnn.shape<1x12x12x128>
tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<1x12x12x12>
tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<2x12x13x13>
tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x12x14x14>
tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x12x1536>
tensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x12x16x16>
tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<74x7>>, >
shape: #ttnn.shape<1x12x197x197>
tensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1>
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1>
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1>
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x10>
tensor<[1,12,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x10>
tensor<[1,12,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x11>
tensor<[1,12,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x128>
tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x12>
tensor<[1,12,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x13>
tensor<[1,12,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x13>
tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x14>
tensor<[1,12,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x14>
tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x15>
tensor<[1,12,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x15>
tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x16>
tensor<[1,12,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x16>
tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x17>
tensor<[1,12,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x17>
tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x18>
tensor<[1,12,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x18>
tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x19>
tensor<[1,12,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x19>
tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x1>
tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x20>
tensor<[1,12,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x20>
tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x21>
tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x22>
tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x23>
tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x24>
tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x25>
tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x26>
tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x27>
tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x28>
tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x29>
tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x2>
tensor<[1,12,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x3>
tensor<[1,12,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x46>
tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x47>
tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x48>
tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x49>
tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x4>
tensor<[1,12,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x50>
tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x51>
tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x52>
tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x53>
tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x54>
tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x55>
tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x56>
tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x57>
tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x58>
tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x59>
tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x5>
tensor<[1,12,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x60>
tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x61>
tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x62>
tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x63>
tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x64>
tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x65>
tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x66>
tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x67>
tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x68>
tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x69>
tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x6>
tensor<[1,12,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x70>
tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x71>
tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x72>
tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x73>
tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x74>
tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x75>
tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x76>
tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x77>
tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x78>
tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x79>
tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x7>
tensor<[1,12,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x80>
tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x81>
tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x82>
tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x83>
tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x84>
tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x85>
tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x86>
tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x87>
tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x88>
tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x89>
tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x8>
tensor<[1,12,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x90>
tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x91>
tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x92>
tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x93>
tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x94>
tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x95>
tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x96>
tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x97>
tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x98>
tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x99>
tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x9>
tensor<[1,12,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<76x7>>, >
shape: #ttnn.shape<1x12x201x201>
tensor<[1,12,201,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<1x12x25x25>
tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x12x3072>
tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x12x3072>
tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x12x3072>
tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<17x2>>, >
shape: #ttnn.shape<1x12x45x45>
tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x2>>, >
shape: #ttnn.shape<1x12x56x56>
tensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x12x768>
tensor<[1,12,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x12x768>
tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x12x7x7>
tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x12x8x8>
tensor<[1,12,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x12x9x9>
tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<574x1>>, >
shape: #ttnn.shape<1x1312x14x14>
tensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<287x1>>, >
shape: #ttnn.shape<1x1312x7x7>
tensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x1344x14x14>
tensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x1344x14x14>
tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x1>>, >
shape: #ttnn.shape<1x1344x28x28>
tensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x1344x7x7>
tensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<118x1>>, >
shape: #ttnn.shape<1x134x28x28>
tensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<1x136x19x19>
tensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<1x136x19x19>
tensor<[1,136,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1x1370x1280>
tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1x1370x1280>
tensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x1>>, >
shape: #ttnn.shape<1x1370x1>
tensor<[1,1370,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<602x1>>, >
shape: #ttnn.shape<1x1376x14x14>
tensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<301x1>>, >
shape: #ttnn.shape<1x1376x7x7>
tensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<435x1>>, >
shape: #ttnn.shape<1x1392x10x10>
tensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x1392x14x14>
tensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x1392x14x14>
tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1218x1>>, >
shape: #ttnn.shape<1x1392x28x28>
tensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x13x1536>
tensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13x1>
tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13x1>
tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x13x3072>
tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x112>>, >
shape: #ttnn.shape<1x13x3584>
tensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<616x1>>, >
shape: #ttnn.shape<1x1408x14x14>
tensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x1408x7x7>
tensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<630x1>>, >
shape: #ttnn.shape<1x1440x14x14>
tensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<315x1>>, >
shape: #ttnn.shape<1x1440x7x7>
tensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1x1445x192>
tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1x1445x192>
tensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x1>>, >
shape: #ttnn.shape<1x1445x1>
tensor<[1,1445,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x144x14x14>
tensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<675x5>>, >
shape: #ttnn.shape<1x144x150x150>
tensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<855x6>>, >
shape: #ttnn.shape<1x144x190x190>
tensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x144x28x28>
tensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<135x1>>, >
shape: #ttnn.shape<1x144x30x30>
tensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<149x2>>, >
shape: #ttnn.shape<1x144x33x33>
tensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x2>>, >
shape: #ttnn.shape<1x144x56x56>
tensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<270x2>>, >
shape: #ttnn.shape<1x144x60x60>
tensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<293x3>>, >
shape: #ttnn.shape<1x144x65x65>
tensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<338x3>>, >
shape: #ttnn.shape<1x144x75x75>
tensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x144x7x7>
tensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x144x7x7>
tensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<428x3>>, >
shape: #ttnn.shape<1x144x95x95>
tensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<644x1>>, >
shape: #ttnn.shape<1x1472x14x14>
tensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x1472x7x7>
tensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x14x128>
tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x14x128>
tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x14x14x1024>
tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x14x14x1>
tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x64>>, >
shape: #ttnn.shape<1x14x14x2048>
tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x14x14x512>
tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x14x14x512>
tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x14x1536>
tensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14x1>
tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14x1>
tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x14x3072>
tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x14x3072>
tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x14x3072>
tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x2>>, >
shape: #ttnn.shape<1x14x56x56>
tensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x14x768>
tensor<[1,14,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x14x768>
tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x1>>, >
shape: #ttnn.shape<1x1500x1>
tensor<[1,1500,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1x1500x768>
tensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1x1500x768>
tensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1x1500x768>
tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<658x1>>, >
shape: #ttnn.shape<1x1504x14x14>
tensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<329x1>>, >
shape: #ttnn.shape<1x1504x7x7>
tensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<480x1>>, >
shape: #ttnn.shape<1x1536x10x10>
tensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<672x1>>, >
shape: #ttnn.shape<1x1536x14x14>
tensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x1536x7x7>
tensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<686x1>>, >
shape: #ttnn.shape<1x1568x14x14>
tensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<343x1>>, >
shape: #ttnn.shape<1x1568x7x7>
tensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x15x1024>
tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x15x1024>
tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x15x1536>
tensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15x1>
tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15x1>
tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x15x3072>
tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x15x512>
tensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<700x1>>, >
shape: #ttnn.shape<1x1600x14x14>
tensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<350x1>>, >
shape: #ttnn.shape<1x1600x7x7>
tensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x160x14x14>
tensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x1>>, >
shape: #ttnn.shape<1x160x24x24>
tensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x1>>, >
shape: #ttnn.shape<1x160x24x24>
tensor<[1,160,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<140x1>>, >
shape: #ttnn.shape<1x160x28x28>
tensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x2>>, >
shape: #ttnn.shape<1x160x56x56>
tensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x160x7x7>
tensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x160x7x7>
tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<612x1>>, >
shape: #ttnn.shape<1x1632x12x12>
tensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<714x1>>, >
shape: #ttnn.shape<1x1632x14x14>
tensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<357x1>>, >
shape: #ttnn.shape<1x1632x7x7>
tensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x6>>, >
shape: #ttnn.shape<1x16384x192>
tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x6>>, >
shape: #ttnn.shape<1x16384x192>
tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x1>
tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x16384x256>
tensor<[1,16384,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x32>
tensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x32>
tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x12>>, >
shape: #ttnn.shape<1x16384x384>
tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x12>>, >
shape: #ttnn.shape<1x16384x384>
tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x24>>, >
shape: #ttnn.shape<1x16384x768>
tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<728x1>>, >
shape: #ttnn.shape<1x1664x14x14>
tensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x1664x7x7>
tensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x168x28x28>
tensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<742x1>>, >
shape: #ttnn.shape<1x1696x14x14>
tensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<371x1>>, >
shape: #ttnn.shape<1x1696x7x7>
tensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<1x16x10x10>
tensor<[1,16,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<1x16x10x10>
tensor<[1,16,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x4>>, >
shape: #ttnn.shape<1x16x112x112>
tensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x4>>, >
shape: #ttnn.shape<1x16x112x112>
tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x4>>, >
shape: #ttnn.shape<1x16x120x120>
tensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<65x5>>, >
shape: #ttnn.shape<1x16x130x130>
tensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x16x14x14>
tensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x5>>, >
shape: #ttnn.shape<1x16x160x160>
tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x5>>, >
shape: #ttnn.shape<1x16x160x160>
tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<99x7>>, >
shape: #ttnn.shape<1x16x197x197>
tensor<[1,16,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1>
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x10>
tensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x10>
tensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x11>
tensor<[1,16,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x11>
tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x12>
tensor<[1,16,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x12>
tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x13>
tensor<[1,16,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x13>
tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x14>
tensor<[1,16,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x14>
tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x15>
tensor<[1,16,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x15>
tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x16>
tensor<[1,16,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x16>
tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x17>
tensor<[1,16,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x17>
tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x18>
tensor<[1,16,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x18>
tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x19>
tensor<[1,16,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x19>
tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x1>
tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x20>
tensor<[1,16,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x20>
tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x21>
tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x22>
tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x23>
tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x24>
tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x25>
tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x26>
tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x27>
tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x28>
tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x29>
tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x2>
tensor<[1,16,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x3>
tensor<[1,16,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x4>
tensor<[1,16,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x5>
tensor<[1,16,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x6>
tensor<[1,16,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x6>
tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x7>
tensor<[1,16,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x7>
tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x8>
tensor<[1,16,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x8>
tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x9>
tensor<[1,16,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x9>
tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x7>>, >
shape: #ttnn.shape<1x16x224x224>
tensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x8>>, >
shape: #ttnn.shape<1x16x256x256>
tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x16x28x28>
tensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x16x32x32>
tensor<[1,16,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x2>>, >
shape: #ttnn.shape<1x16x56x56>
tensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x16x5x5>
tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x16x6x6>
tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x16x768>
tensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x16x768>
tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x2>>, >
shape: #ttnn.shape<1x16x8x49x49>
tensor<[1,16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<1x16x9x9>
tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<756x1>>, >
shape: #ttnn.shape<1x1728x14x14>
tensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<378x1>>, >
shape: #ttnn.shape<1x1728x7x7>
tensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<770x1>>, >
shape: #ttnn.shape<1x1760x14x14>
tensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<385x1>>, >
shape: #ttnn.shape<1x1760x7x7>
tensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<784x1>>, >
shape: #ttnn.shape<1x1792x14x14>
tensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x1792x7x7>
tensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<399x1>>, >
shape: #ttnn.shape<1x1824x7x7>
tensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<1x184x14x14>
tensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<115x1>>, >
shape: #ttnn.shape<1x184x20x20>
tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x184x7x7>
tensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x1>>, >
shape: #ttnn.shape<1x1856x7x7>
tensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<413x1>>, >
shape: #ttnn.shape<1x1888x7x7>
tensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x18x14x14>
tensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x18x28x28>
tensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<1x18x56x56>
tensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<1x18x56x56>
tensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x18x7x7>
tensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x1>>, >
shape: #ttnn.shape<1x19200x1>
tensor<[1,19200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<1x19200x64>
tensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<1x19200x64>
tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x1920x16x16>
tensor<[1,1920,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1920x1>>, >
shape: #ttnn.shape<1x1920x32x32>
tensor<[1,1920,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x1920x7x7>
tensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x192x14x14>
tensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x192x17x17>
tensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x192x28x28>
tensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x2>>, >
shape: #ttnn.shape<1x192x35x35>
tensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<228x2>>, >
shape: #ttnn.shape<1x192x38x38>
tensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<288x2>>, >
shape: #ttnn.shape<1x192x48x48>
tensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x2>>, >
shape: #ttnn.shape<1x192x56x56>
tensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<450x3>>, >
shape: #ttnn.shape<1x192x75x75>
tensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x1>>, >
shape: #ttnn.shape<1x192x7x7>
tensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x1>>, >
shape: #ttnn.shape<1x192x7x7>
tensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x192x8x8>
tensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x192x8x8>
tensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<570x3>>, >
shape: #ttnn.shape<1x192x95x95>
tensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x193x768>
tensor<[1,193,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 193 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<86x1>>, >
shape: #ttnn.shape<1x196x14x14>
tensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x196x1>
tensor<[1,196,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x196x768>
tensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x196x768>
tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x197x1024>
tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x197x1024>
tensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x197x1>
tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x197x768>
tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x197x768>
tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x12x12>
tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x13x13>
tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1x1536>
tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x16x32>
tensor<[1,1,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1>
tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1>
tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x10>
tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x11>
tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x12>
tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x13>
tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x14>
tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x15>
tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x16>
tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x17>
tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x18>
tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x19>
tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x20>
tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x21>
tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x22>
tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x23>
tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x24>
tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x25>
tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x26>
tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x27>
tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x28>
tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x29>
tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x46>
tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x47>
tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x48>
tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x49>
tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x50>
tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x51>
tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x52>
tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x53>
tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x54>
tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x55>
tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x56>
tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x57>
tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x58>
tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x59>
tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x60>
tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x61>
tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x62>
tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x63>
tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x64>
tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x65>
tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x66>
tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x67>
tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x68>
tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x69>
tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x6>
tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x70>
tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x71>
tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x72>
tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x73>
tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x74>
tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x75>
tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x76>
tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x77>
tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x78>
tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x79>
tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x7>
tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x80>
tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x81>
tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x82>
tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x83>
tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x84>
tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x85>
tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x86>
tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x87>
tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x88>
tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x89>
tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x8>
tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x90>
tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x91>
tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x92>
tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x93>
tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x94>
tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x95>
tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x96>
tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x1x97>
tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x1x98>
tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x1x99>
tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x9>
tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x7>>, >
shape: #ttnn.shape<1x1x224x224>
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x7>>, >
shape: #ttnn.shape<1x1x224x224>
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x7>>, >
shape: #ttnn.shape<1x1x224x224>
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x1x3072>
tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x1x3072>
tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x32x32>
tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x4096>
tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x4096>
tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x1x45x45>
tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x512>
tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x5x5>
tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x7x64>
tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x7x7>
tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<88x1>>, >
shape: #ttnn.shape<1x200x14x14>
tensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<125x1>>, >
shape: #ttnn.shape<1x200x20x20>
tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x200x7x7>
tensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x201x1>
tensor<[1,201,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x201x768>
tensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x201x768>
tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x2048x10x10>
tensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x1>>, >
shape: #ttnn.shape<1x2048x14x14>
tensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x2048x1>
tensor<[1,2048,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1472x2>>, >
shape: #ttnn.shape<1x2048x23x40>
tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1472x2>>, >
shape: #ttnn.shape<1x2048x23x40>
tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<1x2048x768>
tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<1x2048x768>
tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<1x2048x768>
tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x2048x7x7>
tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x2048x7x7>
tensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<91x1>>, >
shape: #ttnn.shape<1x208x14x14>
tensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<59x1>>, >
shape: #ttnn.shape<1x208x9x9>
tensor<[1,208,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<59x1>>, >
shape: #ttnn.shape<1x208x9x9>
tensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x20x28x28>
tensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x683>>, >
shape: #ttnn.shape<1x21843>
tensor<[1,21843,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x1>>, >
shape: #ttnn.shape<1x224x14x14>
tensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<119x1>>, >
shape: #ttnn.shape<1x224x17x17>
tensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x224x28x28>
tensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<245x2>>, >
shape: #ttnn.shape<1x224x35x35>
tensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x2>>, >
shape: #ttnn.shape<1x224x56x56>
tensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x224x7x7>
tensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<73x1>>, >
shape: #ttnn.shape<1x232x10x10>
tensor<[1,232,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<73x1>>, >
shape: #ttnn.shape<1x232x10x10>
tensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<812x4>>, >
shape: #ttnn.shape<1x232x112x112>
tensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x2>>, >
shape: #ttnn.shape<1x232x56x56>
tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x2>>, >
shape: #ttnn.shape<1x232x56x56>
tensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x240x14x14>
tensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<113x1>>, >
shape: #ttnn.shape<1x240x15x15>
tensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x240x20x20>
tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x240x28x28>
tensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<225x1>>, >
shape: #ttnn.shape<1x240x30x30>
tensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x2>>, >
shape: #ttnn.shape<1x240x40x40>
tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x4>>, >
shape: #ttnn.shape<1x24x112x112>
tensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x24x14x14>
tensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<113x5>>, >
shape: #ttnn.shape<1x24x150x150>
tensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<143x6>>, >
shape: #ttnn.shape<1x24x190x190>
tensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x24x28x28>
tensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x4>>, >
shape: #ttnn.shape<1x24x32x128>
tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x24x32x32>
tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x2>>, >
shape: #ttnn.shape<1x24x56x56>
tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x2>>, >
shape: #ttnn.shape<1x24x56x56>
tensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<45x2>>, >
shape: #ttnn.shape<1x24x60x60>
tensor<[1,24,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<45x2>>, >
shape: #ttnn.shape<1x24x60x60>
tensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x3>>, >
shape: #ttnn.shape<1x24x65x65>
tensor<[1,24,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x3>>, >
shape: #ttnn.shape<1x24x65x65>
tensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x3>>, >
shape: #ttnn.shape<1x24x80x80>
tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x3>>, >
shape: #ttnn.shape<1x24x80x80>
tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1103x1>>, >
shape: #ttnn.shape<1x2520x14x14>
tensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<552x1>>, >
shape: #ttnn.shape<1x2520x7x7>
tensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<552x1>>, >
shape: #ttnn.shape<1x2520x7x7>
tensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x1>>, >
shape: #ttnn.shape<1x2560x16x16>
tensor<[1,2560,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x2560x8x8>
tensor<[1,2560,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x8>>, >
shape: #ttnn.shape<1x256>
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<1x256x1024>
tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<1x256x1024>
tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x256x10x10>
tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<1x256x1280>
tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<1x256x1280>
tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x4>>, >
shape: #ttnn.shape<1x256x128x128>
tensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x256x14x14>
tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x256x14x14>
tensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x48>>, >
shape: #ttnn.shape<1x256x1536>
tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x48>>, >
shape: #ttnn.shape<1x256x1536>
tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x5>>, >
shape: #ttnn.shape<1x256x160>
tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x256x16x16>
tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x256x16x16>
tensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<136x1>>, >
shape: #ttnn.shape<1x256x17x17>
tensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x10>>, >
shape: #ttnn.shape<1x256x180x320>
tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x10>>, >
shape: #ttnn.shape<1x256x180x320>
tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x256x256>
tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x256x256>
tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x256x28x28>
tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x256x28x28>
tensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x256x2x2>
tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x96>>, >
shape: #ttnn.shape<1x256x3072>
tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x32>
tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x256x32x32>
tensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<304x2>>, >
shape: #ttnn.shape<1x256x38x38>
tensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<304x2>>, >
shape: #ttnn.shape<1x256x38x38>
tensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x256x3x3>
tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x3>>, >
shape: #ttnn.shape<1x256x45x80>
tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<1x256x512>
tensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<1x256x512>
tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x2>>, >
shape: #ttnn.shape<1x256x56x56>
tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x2>>, >
shape: #ttnn.shape<1x256x56x56>
tensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x256x5x5>
tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x256x64>
tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x2>>, >
shape: #ttnn.shape<1x256x64x64>
tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x2>>, >
shape: #ttnn.shape<1x256x64x64>
tensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x3>>, >
shape: #ttnn.shape<1x256x75x75>
tensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x3>>, >
shape: #ttnn.shape<1x256x75x75>
tensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x256x7x7>
tensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x256x8x8>
tensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x5>>, >
shape: #ttnn.shape<1x256x90x160>
tensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x1>>, >
shape: #ttnn.shape<1x257x1>
tensor<[1,257,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<1x257x768>
tensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<1x257x768>
tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25x1>
tensor<[1,25,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x25x768>
tensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x25x768>
tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x272x12x12>
tensor<[1,272,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x272x12x12>
tensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x1>>, >
shape: #ttnn.shape<1x272x7x7>
tensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27x1>
tensor<[1,27,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x27x768>
tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x288x14x14>
tensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<153x1>>, >
shape: #ttnn.shape<1x288x17x17>
tensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<171x1>>, >
shape: #ttnn.shape<1x288x19x19>
tensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x288x28x28>
tensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<297x2>>, >
shape: #ttnn.shape<1x288x33x33>
tensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<342x2>>, >
shape: #ttnn.shape<1x288x38x38>
tensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x4>>, >
shape: #ttnn.shape<1x28x13x128>
tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x1>>, >
shape: #ttnn.shape<1x28x13x13>
tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x32>>, >
shape: #ttnn.shape<1x28x28x1024>
tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x28x28x1>
tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<1x28x28x256>
tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<1x28x28x256>
tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x28x28x28>
tensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x16>>, >
shape: #ttnn.shape<1x28x28x512>
tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x2>
tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x2x12x128>
tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x2x1x128>
tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x4>>, >
shape: #ttnn.shape<1x300x128>
tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<1x300x1>
tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x10>>, >
shape: #ttnn.shape<1x300x320>
tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<1x300x512>
tensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<1x300x512>
tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<1x300x64>
tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x3072>
tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x10>
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x11>
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x12>
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x13>
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x14>
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x15>
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x16>
tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x6>
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x7>
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x9>
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x98>>, >
shape: #ttnn.shape<1x3129>
tensor<[1,3129,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<140x1>>, >
shape: #ttnn.shape<1x320x14x14>
tensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<170x1>>, >
shape: #ttnn.shape<1x320x17x17>
tensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x320x28x28>
tensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x320x32x32>
tensor<[1,320,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x320x7x7>
tensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x320x8x8>
tensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x4>>, >
shape: #ttnn.shape<1x32x112x112>
tensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x4>>, >
shape: #ttnn.shape<1x32x120x120>
tensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x5>>, >
shape: #ttnn.shape<1x32x120x160>
tensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x4>>, >
shape: #ttnn.shape<1x32x128x128>
tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x4>>, >
shape: #ttnn.shape<1x32x128x128>
tensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<130x5>>, >
shape: #ttnn.shape<1x32x130x130>
tensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x5>>, >
shape: #ttnn.shape<1x32x147x147>
tensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<149x5>>, >
shape: #ttnn.shape<1x32x149x149>
tensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x32x14x14>
tensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x5>>, >
shape: #ttnn.shape<1x32x150x150>
tensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x32x1536>
tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x32x1536>
tensor<[1,32,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<190x6>>, >
shape: #ttnn.shape<1x32x190x190>
tensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1>
tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1>
tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x8>>, >
shape: #ttnn.shape<1x32x256x256>
tensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x32x28x28>
tensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x32x28x28>
tensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x32x3072>
tensor<[1,32,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x2>>, >
shape: #ttnn.shape<1x32x30x40>
tensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x4>>, >
shape: #ttnn.shape<1x32x32x128>
tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x32x32x32>
tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x32x4096>
tensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x2>>, >
shape: #ttnn.shape<1x32x49x49>
tensor<[1,32,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x16>>, >
shape: #ttnn.shape<1x32x512x512>
tensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x2>>, >
shape: #ttnn.shape<1x32x56x56>
tensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x3>>, >
shape: #ttnn.shape<1x32x60x80>
tensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<1x32x6144>
tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<1x32x6144>
tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<75x3>>, >
shape: #ttnn.shape<1x32x75x75>
tensor<[1,32,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<75x3>>, >
shape: #ttnn.shape<1x32x75x75>
tensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x32x7x7>
tensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<95x3>>, >
shape: #ttnn.shape<1x32x95x95>
tensor<[1,32,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<95x3>>, >
shape: #ttnn.shape<1x32x95x95>
tensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x334x14x14>
tensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x4>>, >
shape: #ttnn.shape<1x336x112x112>
tensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x336x14x14>
tensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x336x24x24>
tensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x2>>, >
shape: #ttnn.shape<1x336x48x48>
tensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x2>>, >
shape: #ttnn.shape<1x336x56x56>
tensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x2>>, >
shape: #ttnn.shape<1x336x56x56>
tensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x34x28x28>
tensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<154x1>>, >
shape: #ttnn.shape<1x352x14x14>
tensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x352x28x28>
tensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<99x1>>, >
shape: #ttnn.shape<1x352x9x9>
tensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1944x5>>, >
shape: #ttnn.shape<1x36x12x144x144>
tensor<[1,36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x36x14x14>
tensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3888x5>>, >
shape: #ttnn.shape<1x36x24x144x144>
tensor<[1,36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x36x28x28>
tensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x36x28x28>
tensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x2>>, >
shape: #ttnn.shape<1x36x56x56>
tensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x36x7x7>
tensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1624x1>>, >
shape: #ttnn.shape<1x3712x14x14>
tensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<812x1>>, >
shape: #ttnn.shape<1x3712x7x7>
tensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<812x1>>, >
shape: #ttnn.shape<1x3712x7x7>
tensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x1>>, >
shape: #ttnn.shape<1x384x10x10>
tensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x384x14x14>
tensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<204x1>>, >
shape: #ttnn.shape<1x384x17x17>
tensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x384x28x28>
tensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x384x7x7>
tensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x384x8x8>
tensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x3>
tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x3x16x16x2>
tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3x32x32x2>
tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<384x1>>, >
shape: #ttnn.shape<1x3x64x64x2>
tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x4096>
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x48>>, >
shape: #ttnn.shape<1x4096x1536>
tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x4096x1>
tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x8>>, >
shape: #ttnn.shape<1x4096x256>
tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<1x4096x320>
tensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<1x4096x320>
tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x12>>, >
shape: #ttnn.shape<1x4096x384>
tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x12>>, >
shape: #ttnn.shape<1x4096x384>
tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x4096x64>
tensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x4096x64>
tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<1x4096x768>
tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<1x4096x768>
tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x40x14x14>
tensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x40x28x28>
tensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x40x28x28>
tensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x40x30x30>
tensor<[1,40,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x40x30x30>
tensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x2>>, >
shape: #ttnn.shape<1x40x40x40>
tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x2>>, >
shape: #ttnn.shape<1x40x40x40>
tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x2>>, >
shape: #ttnn.shape<1x40x56x56>
tensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<182x1>>, >
shape: #ttnn.shape<1x416x14x14>
tensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x416x28x28>
tensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x448x12x12>
tensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x448x14x14>
tensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x448x28x28>
tensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x448x8x8>
tensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x45x1>
tensor<[1,45,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x45x3072>
tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x45x3072>
tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x45x768>
tensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x45x768>
tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x462x7x7>
tensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x46x28x28>
tensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x4>>, >
shape: #ttnn.shape<1x4800x128>
tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x4>>, >
shape: #ttnn.shape<1x4800x128>
tensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x4800x1>
tensor<[1,4800,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x480x10x10>
tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<225x1>>, >
shape: #ttnn.shape<1x480x15x15>
tensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x1>>, >
shape: #ttnn.shape<1x480x20x20>
tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x480x28x28>
tensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x480x7x7>
tensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<13068x5>>, >
shape: #ttnn.shape<1x484x6x144x144>
tensor<[1,484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x48x14x14>
tensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x2>>, >
shape: #ttnn.shape<1x48x33x33>
tensor<[1,48,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x2>>, >
shape: #ttnn.shape<1x48x33x33>
tensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<57x2>>, >
shape: #ttnn.shape<1x48x38x38>
tensor<[1,48,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<57x2>>, >
shape: #ttnn.shape<1x48x38x38>
tensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x2>>, >
shape: #ttnn.shape<1x48x56x56>
tensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x48x7x7>
tensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x4x13x128>
tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x2>>, >
shape: #ttnn.shape<1x4x16x49x49>
tensor<[1,4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<864x5>>, >
shape: #ttnn.shape<1x4x48x144x144>
tensor<[1,4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x50x1>
tensor<[1,50,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x50x768>
tensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x50x768>
tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1600>>, >
shape: #ttnn.shape<1x51200>
tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x512x16x16>
tensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<368x2>>, >
shape: #ttnn.shape<1x512x23x40>
tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x512x28x28>
tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x512x28x28>
tensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x512x32x32>
tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x512x32x32>
tensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x3>>, >
shape: #ttnn.shape<1x512x45x80>
tensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x2>>, >
shape: #ttnn.shape<1x512x56x56>
tensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x512x5x5>
tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x512x7x7>
tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x512x7x7>
tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x512x8x8>
tensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x5>>, >
shape: #ttnn.shape<1x512x90x160>
tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x5>>, >
shape: #ttnn.shape<1x512x90x160>
tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<281x1>>, >
shape: #ttnn.shape<1x528x17x17>
tensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x544x14x14>
tensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x56x14x14>
tensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x2>>, >
shape: #ttnn.shape<1x56x48x48>
tensor<[1,56,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x2>>, >
shape: #ttnn.shape<1x56x48x48>
tensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<1x56x56x128>
tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<1x56x56x128>
tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x1>>, >
shape: #ttnn.shape<1x56x56x1>
tensor<[1,56,56,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x16>>, >
shape: #ttnn.shape<1x56x56x512>
tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x576x14x14>
tensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<342x1>>, >
shape: #ttnn.shape<1x576x19x19>
tensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x576x7x7>
tensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<51x1>>, >
shape: #ttnn.shape<1x58x28x28>
tensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x5x1024>
tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x5x1024>
tensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x5x16x32>
tensor<[1,5,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x5x1>
tensor<[1,5,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x5x4096>
tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x5x4096>
tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<266x1>>, >
shape: #ttnn.shape<1x608x14x14>
tensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x60x28x28>
tensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x640x14x14>
tensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x640x16x16>
tensor<[1,640,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x2>>, >
shape: #ttnn.shape<1x640x64x64>
tensor<[1,640,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x64>
tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x4>>, >
shape: #ttnn.shape<1x64x112x112>
tensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x5>>, >
shape: #ttnn.shape<1x64x120x160>
tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x5>>, >
shape: #ttnn.shape<1x64x120x160>
tensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<1x64x1280>
tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<1x64x1280>
tensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x4>>, >
shape: #ttnn.shape<1x64x128x128>
tensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x5>>, >
shape: #ttnn.shape<1x64x147x147>
tensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x64x14x14>
tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x64x14x14>
tensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x5>>, >
shape: #ttnn.shape<1x64x150x150>
tensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x5>>, >
shape: #ttnn.shape<1x64x160x160>
tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x10>>, >
shape: #ttnn.shape<1x64x180x320>
tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x1>
tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x1x1>
tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x7>>, >
shape: #ttnn.shape<1x64x224x224>
tensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x64x256x256>
tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x64x256x256>
tensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x64x28x28>
tensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x64x2x2>
tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x2>>, >
shape: #ttnn.shape<1x64x30x40>
tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x2>>, >
shape: #ttnn.shape<1x64x30x40>
tensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x2>>, >
shape: #ttnn.shape<1x64x35x35>
tensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x20>>, >
shape: #ttnn.shape<1x64x360x640>
tensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x2>>, >
shape: #ttnn.shape<1x64x4x49x49>
tensor<[1,64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x2>>, >
shape: #ttnn.shape<1x64x56x56>
tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x2>>, >
shape: #ttnn.shape<1x64x56x56>
tensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x3>>, >
shape: #ttnn.shape<1x64x60x80>
tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x3>>, >
shape: #ttnn.shape<1x64x60x80>
tensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x64x64x64>
tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x64x64x64>
tensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<146x3>>, >
shape: #ttnn.shape<1x64x73x73>
tensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<160x3>>, >
shape: #ttnn.shape<1x64x80x80>
tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x64x9x9>
tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >
shape: #ttnn.shape<1x65536x192>
tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >
shape: #ttnn.shape<1x65536x192>
tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x1>>, >
shape: #ttnn.shape<1x65536x1>
tensor<[1,65536,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x672x10x10>
tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<315x1>>, >
shape: #ttnn.shape<1x672x15x15>
tensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x672x20x20>
tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x1>>, >
shape: #ttnn.shape<1x672x24x24>
tensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x672x28x28>
tensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x672x28x28>
tensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x2>>, >
shape: #ttnn.shape<1x672x56x56>
tensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x672x7x7>
tensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x672x8x8>
tensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x68x14x14>
tensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<119x2>>, >
shape: #ttnn.shape<1x68x56x56>
tensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x696x28x28>
tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x696x28x28>
tensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1218x2>>, >
shape: #ttnn.shape<1x696x56x56>
tensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6>
tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x6x1024>
tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x6x1024>
tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x6x1536>
tensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x6x15x15>
tensor<[1,6,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x6x15x15>
tensor<[1,6,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1>
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x10>
tensor<[1,6,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x11>
tensor<[1,6,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x12>
tensor<[1,6,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x13>
tensor<[1,6,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x14>
tensor<[1,6,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x15>
tensor<[1,6,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x15>
tensor<[1,6,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x16>
tensor<[1,6,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x17>
tensor<[1,6,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x18>
tensor<[1,6,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x19>
tensor<[1,6,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x1>
tensor<[1,6,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x20>
tensor<[1,6,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x2>
tensor<[1,6,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x3>
tensor<[1,6,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x4>
tensor<[1,6,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x5>
tensor<[1,6,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x6>
tensor<[1,6,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x7>
tensor<[1,6,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x8>
tensor<[1,6,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x9>
tensor<[1,6,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x6x3072>
tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x704x14x14>
tensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x2>>, >
shape: #ttnn.shape<1x71x7x64>
tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x71x7x7>
tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<383x1>>, >
shape: #ttnn.shape<1x720x17x17>
tensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<203x1>>, >
shape: #ttnn.shape<1x720x9x9>
tensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<433x1>>, >
shape: #ttnn.shape<1x728x19x19>
tensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<433x1>>, >
shape: #ttnn.shape<1x728x19x19>
tensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<865x2>>, >
shape: #ttnn.shape<1x728x38x38>
tensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<865x2>>, >
shape: #ttnn.shape<1x728x38x38>
tensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x72x14x14>
tensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x72x14x14>
tensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x72x28x28>
tensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<90x2>>, >
shape: #ttnn.shape<1x72x40x40>
tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x2>>, >
shape: #ttnn.shape<1x72x56x56>
tensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x72x7x7>
tensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<180x3>>, >
shape: #ttnn.shape<1x72x80x80>
tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x736x14x14>
tensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x768>
tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x768x14x14>
tensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x12>>, >
shape: #ttnn.shape<1x768x384>
tensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x768x8>
tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x25>>, >
shape: #ttnn.shape<1x784>
tensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<69x1>>, >
shape: #ttnn.shape<1x78x28x28>
tensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x7x1536>
tensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7x1>
tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x7x3072>
tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x7x3072>
tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x7x3072>
tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x142>>, >
shape: #ttnn.shape<1x7x4544>
tensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x142>>, >
shape: #ttnn.shape<1x7x4544>
tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x7x768>
tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x7x768>
tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<1x7x7x1024>
tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<1x7x7x1024>
tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x7x7x1>
tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x64>>, >
shape: #ttnn.shape<1x7x7x2048>
tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x128>>, >
shape: #ttnn.shape<1x7x7x4096>
tensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<350x1>>, >
shape: #ttnn.shape<1x800x14x14>
tensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x80x10x10>
tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x80x10x10>
tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x80x14x14>
tensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x80x14x14>
tensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x80x15x15>
tensor<[1,80,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x80x15x15>
tensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x1>>, >
shape: #ttnn.shape<1x80x20x20>
tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x1>>, >
shape: #ttnn.shape<1x80x20x20>
tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x80x7x7>
tensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<255x1>>, >
shape: #ttnn.shape<1x816x10x10>
tensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<485x1>>, >
shape: #ttnn.shape<1x816x19x19>
tensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x832x14x14>
tensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<378x1>>, >
shape: #ttnn.shape<1x864x14x14>
tensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x1>>, >
shape: #ttnn.shape<1x88x17x17>
tensor<[1,88,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x1>>, >
shape: #ttnn.shape<1x88x17x17>
tensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x896x14x14>
tensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x896x7x7>
tensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x8x10x10>
tensor<[1,8,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x8x10x10>
tensor<[1,8,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x4>>, >
shape: #ttnn.shape<1x8x112x112>
tensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x8x1536>
tensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1>
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1>
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x10>
tensor<[1,8,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x10>
tensor<[1,8,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x11>
tensor<[1,8,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x12>
tensor<[1,8,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x13>
tensor<[1,8,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x14>
tensor<[1,8,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x15>
tensor<[1,8,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x16>
tensor<[1,8,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x17>
tensor<[1,8,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x18>
tensor<[1,8,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x19>
tensor<[1,8,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x1>
tensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x20>
tensor<[1,8,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x2>
tensor<[1,8,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x3>
tensor<[1,8,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x4>
tensor<[1,8,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x5>
tensor<[1,8,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x6>
tensor<[1,8,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x7>
tensor<[1,8,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x8>
tensor<[1,8,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x9>
tensor<[1,8,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x64>>, >
shape: #ttnn.shape<1x8x256x2048>
tensor<[1,8,256,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x8x3072>
tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x4>>, >
shape: #ttnn.shape<1x8x32x128>
tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x8x768>
tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x8x768>
tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x1>>, >
shape: #ttnn.shape<1x928x14x14>
tensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<203x1>>, >
shape: #ttnn.shape<1x928x7x7>
tensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x92x14x14>
tensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x1>>, >
shape: #ttnn.shape<1x960x12x12>
tensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x960x14x14>
tensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x1>>, >
shape: #ttnn.shape<1x960x24x24>
tensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x960x32x32>
tensor<[1,960,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<90x1>>, >
shape: #ttnn.shape<1x960x3x3>
tensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1920x2>>, >
shape: #ttnn.shape<1x960x64x64>
tensor<[1,960,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x4>>, >
shape: #ttnn.shape<1x96x112x112>
tensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x4>>, >
shape: #ttnn.shape<1x96x120x120>
tensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<390x5>>, >
shape: #ttnn.shape<1x96x130x130>
tensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x1>>, >
shape: #ttnn.shape<1x96x14x14>
tensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x1>>, >
shape: #ttnn.shape<1x96x14x14>
tensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<57x1>>, >
shape: #ttnn.shape<1x96x19x19>
tensor<[1,96,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<57x1>>, >
shape: #ttnn.shape<1x96x19x19>
tensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x96x28x28>
tensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x2>>, >
shape: #ttnn.shape<1x96x35x35>
tensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x2>>, >
shape: #ttnn.shape<1x96x56x56>
tensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<180x2>>, >
shape: #ttnn.shape<1x96x60x60>
tensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<195x3>>, >
shape: #ttnn.shape<1x96x65x65>
tensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<213x3>>, >
shape: #ttnn.shape<1x96x71x71>
tensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<219x3>>, >
shape: #ttnn.shape<1x96x73x73>
tensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<86x1>>, >
shape: #ttnn.shape<1x98x28x28>
tensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<434x1>>, >
shape: #ttnn.shape<1x992x14x14>
tensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<217x1>>, >
shape: #ttnn.shape<1x992x7x7>
tensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x9x1024>
tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x9x1024>
tensor<[1,9,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x9x1536>
tensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<1x9x16384>
tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<1x9x16384>
tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9x1>
tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9x1>
tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x9x2048>
tensor<[1,9,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x9x2048>
tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<972x5>>, >
shape: #ttnn.shape<1x9x24x144x144>
tensor<[1,9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x9x3072>
tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x9x3072>
tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x9x3072>
tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1944x5>>, >
shape: #ttnn.shape<1x9x48x144x144>
tensor<[1,9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x9x768>
tensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x9x768>
tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x9x8192>
tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x9x8192>
tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<201x3072>
tensor<[201,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<201x768>
tensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x40>>, >
shape: #ttnn.shape<2048x1280>
tensor<[2048,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x8>>, >
shape: #ttnn.shape<2048x256>
tensor<[2048,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x9>>, >
shape: #ttnn.shape<2048x262>
tensor<[2048,262,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<2048x768>
tensor<[2048,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x320>>, >
shape: #ttnn.shape<256x10240>
tensor<[256,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<256x1024>
tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<256x1280>
tensor<[256,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x48>>, >
shape: #ttnn.shape<256x1536>
tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x5>>, >
shape: #ttnn.shape<256x160>
tensor<[256,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<256x256>
tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<256x2>
tensor<[256,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<256x32>
tensor<[256,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x128>>, >
shape: #ttnn.shape<256x4096>
tensor<[256,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<256x512>
tensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x192>>, >
shape: #ttnn.shape<256x6144>
tensor<[256,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<256x64>
tensor<[256,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x24>>, >
shape: #ttnn.shape<256x768>
tensor<[256,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x72>>, >
shape: #ttnn.shape<257x2304>
tensor<[257,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x96>>, >
shape: #ttnn.shape<257x3072>
tensor<[257,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<257x768>
tensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<25x2>
tensor<[25,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<25x3072>
tensor<[25,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<25x768>
tensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x954>>, >
shape: #ttnn.shape<27x30522>
tensor<[27,30522,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<27x38>
tensor<[27,38,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1571>>, >
shape: #ttnn.shape<27x50257>
tensor<[27,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<2x128x1>
tensor<[2,128,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<2x12x13x13>
tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x13x1>
tensor<[2,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<2x13x768>
tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x1x7x7>
tensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x7x1>
tensor<[2,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x7x512>
tensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x7x512>
tensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x7x512>
tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<2x8x7x7>
tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x4>>, >
shape: #ttnn.shape<300x128>
tensor<[300,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x64>>, >
shape: #ttnn.shape<300x2048>
tensor<[300,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x10>>, >
shape: #ttnn.shape<300x320>
tensor<[300,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<300x512>
tensor<[300,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<300x64>
tensor<[300,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<3136x128>
tensor<[3136,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x12>>, >
shape: #ttnn.shape<3136x384>
tensor<[3136,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x102>>, >
shape: #ttnn.shape<3234>
tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<32x1536>
tensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x144>>, >
shape: #ttnn.shape<32x4608>
tensor<[32,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<32x6144>
tensor<[32,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1944x5>>, >
shape: #ttnn.shape<36x12x144x144>
tensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3888x5>>, >
shape: #ttnn.shape<36x24x144x144>
tensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x48>>, >
shape: #ttnn.shape<4096x1536>
tensor<[4096,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x80>>, >
shape: #ttnn.shape<4096x2560>
tensor<[4096,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x8>>, >
shape: #ttnn.shape<4096x256>
tensor<[4096,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x96>>, >
shape: #ttnn.shape<4096x3072>
tensor<[4096,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<4096x320>
tensor<[4096,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x12>>, >
shape: #ttnn.shape<4096x384>
tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<4096x64>
tensor<[4096,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<4096x768>
tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<45x3072>
tensor<[45,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<45x768>
tensor<[45,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x4>>, >
shape: #ttnn.shape<4800x128>
tensor<[4800,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x16>>, >
shape: #ttnn.shape<4800x512>
tensor<[4800,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<13068x5>>, >
shape: #ttnn.shape<484x6x144x144>
tensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<49x1024>
tensor<[49,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<49x3072>
tensor<[49,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<4x16x1x13>
tensor<[4,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x2>>, >
shape: #ttnn.shape<4x16x49x49>
tensor<[4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<4x1x1024>
tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<4x1x1024>
tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<4x1x1>
tensor<[4,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<864x5>>, >
shape: #ttnn.shape<4x48x144x144>
tensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<50x3072>
tensor<[50,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<50x768>
tensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x36>>, >
shape: #ttnn.shape<5184x1152>
tensor<[5184,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x72>>, >
shape: #ttnn.shape<5184x2304>
tensor<[5184,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x12>>, >
shape: #ttnn.shape<5184x384>
tensor<[5184,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x24>>, >
shape: #ttnn.shape<5184x768>
tensor<[5184,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<52x1024>
tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x48>>, >
shape: #ttnn.shape<576x1536>
tensor<[576,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x144>>, >
shape: #ttnn.shape<576x4608>
tensor<[576,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<5x1024>
tensor<[5,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<5x4096>
tensor<[5,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1600>>, >
shape: #ttnn.shape<5x51200>
tensor<[5,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x320>>, >
shape: #ttnn.shape<64x10240>
tensor<[64,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<64x1280>
tensor<[64,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x2>>, >
shape: #ttnn.shape<64x4x49x49>
tensor<[64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >
shape: #ttnn.shape<65536x192>
tensor<[65536,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x24>>, >
shape: #ttnn.shape<65536x768>
tensor<[65536,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2178x6>>, >
shape: #ttnn.shape<69696x192>
tensor<[69696,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2178x18>>, >
shape: #ttnn.shape<69696x576>
tensor<[69696,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6>
tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<6x1024>
tensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<6x1024>
tensor<[6,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x8>>, >
shape: #ttnn.shape<6x1x100x256>
tensor<[6,1,100,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x1>>, >
shape: #ttnn.shape<6x1x100x4>
tensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x3>>, >
shape: #ttnn.shape<6x1x100x92>
tensor<[6,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<6x4096>
tensor<[6,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x7>>, >
shape: #ttnn.shape<768x196>
tensor<[768,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<784x256>
tensor<[784,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x24>>, >
shape: #ttnn.shape<784x768>
tensor<[784,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x72>>, >
shape: #ttnn.shape<7x2304>
tensor<[7,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<7x3072>
tensor<[7,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<7x768>
tensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<8x2048>
tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x1>>, >
shape: #ttnn.shape<920x1x1>
tensor<[920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x8>>, >
shape: #ttnn.shape<920x1x256>
tensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x8>>, >
shape: #ttnn.shape<920x1x256>
tensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x64>>, >
shape: #ttnn.shape<920x2048>
tensor<[920,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x8>>, >
shape: #ttnn.shape<920x256>
tensor<[920,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<9x1024>
tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<9x128>
tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<9x16384>
tensor<[9,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<9x2048>
tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<972x5>>, >
shape: #ttnn.shape<9x24x144x144>
tensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x938>>, >
shape: #ttnn.shape<9x30000>
tensor<[9,30000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<9x3072>
tensor<[9,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<9x4096>
tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1944x5>>, >
shape: #ttnn.shape<9x48x144x144>
tensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<9x768>
tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<9x8192>
tensor<[9,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1>
tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<2x128x1>
tensor<[2,128,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<11>
tensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12>
tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<13>
tensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<14>
tensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<15>
tensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16>
tensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<17>
tensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<18>
tensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<19>
tensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<20>
tensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<21>
tensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<22>
tensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<23>
tensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<24>
tensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<25>
tensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<26>
tensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<27>
tensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<28>
tensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<29>
tensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<32>
tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5>
tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6>
tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<7>
tensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8>
tensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<9>
tensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<32>
tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x512x7x7>
tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x29>>, >
shape: #ttnn.shape<8x100x920>
tensor<[8,100,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<230x29>>, >
shape: #ttnn.shape<8x920x920>
tensor<[8,920,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1>
tensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<120x28x28>
tensor<[120,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1280x16x32>
tensor<[1280,16,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1280x16x16>
tensor<[1280,16,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x1>>, >
shape: #ttnn.shape<1280x32x32>
tensor<[1280,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1280x8x16>
tensor<[1280,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<128x32x64>
tensor<[128,32,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x2>>, >
shape: #ttnn.shape<128x49x49>
tensor<[128,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<128x49x32>
tensor<[128,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x2>>, >
shape: #ttnn.shape<128x64x64>
tensor<[128,64,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<12x10x64>
tensor<[12,10,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<12x10x10>
tensor<[12,10,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<12x12x12>
tensor<[12,12,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x4>>, >
shape: #ttnn.shape<12x12x128>
tensor<[12,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<12x12x64>
tensor<[12,12,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<12x12x12>
tensor<[12,12,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<12x14x64>
tensor<[12,14,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<12x14x14>
tensor<[12,14,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<563x2>>, >
shape: #ttnn.shape<12x1500x64>
tensor<[12,1500,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<563x47>>, >
shape: #ttnn.shape<12x1500x1500>
tensor<[12,1500,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<12x16x64>
tensor<[12,16,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<12x16x16>
tensor<[12,16,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<74x2>>, >
shape: #ttnn.shape<12x197x64>
tensor<[12,197,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<74x7>>, >
shape: #ttnn.shape<12x197x197>
tensor<[12,197,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x13>
tensor<[12,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x14>
tensor<[12,1,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x15>
tensor<[12,1,15,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x16>
tensor<[12,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x17>
tensor<[12,1,17,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x18>
tensor<[12,1,18,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x19>
tensor<[12,1,19,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x20>
tensor<[12,1,20,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x21>
tensor<[12,1,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x22>
tensor<[12,1,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x23>
tensor<[12,1,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x24>
tensor<[12,1,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x25>
tensor<[12,1,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x26>
tensor<[12,1,26,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x27>
tensor<[12,1,27,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x28>
tensor<[12,1,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x29>
tensor<[12,1,29,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x128>
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x1>
tensor<[12,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x10>
tensor<[12,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x11>
tensor<[12,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x12>
tensor<[12,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x13>
tensor<[12,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x14>
tensor<[12,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x15>
tensor<[12,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x16>
tensor<[12,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x17>
tensor<[12,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x18>
tensor<[12,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x19>
tensor<[12,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x2>
tensor<[12,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x20>
tensor<[12,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x3>
tensor<[12,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x4>
tensor<[12,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x46>
tensor<[12,1,46,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x47>
tensor<[12,1,47,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x48>
tensor<[12,1,48,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x49>
tensor<[12,1,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x5>
tensor<[12,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x50>
tensor<[12,1,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x51>
tensor<[12,1,51,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x52>
tensor<[12,1,52,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x53>
tensor<[12,1,53,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x54>
tensor<[12,1,54,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x55>
tensor<[12,1,55,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x56>
tensor<[12,1,56,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x57>
tensor<[12,1,57,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x58>
tensor<[12,1,58,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x59>
tensor<[12,1,59,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x6>
tensor<[12,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x60>
tensor<[12,1,60,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x61>
tensor<[12,1,61,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x62>
tensor<[12,1,62,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x63>
tensor<[12,1,63,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x65>
tensor<[12,1,65,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x66>
tensor<[12,1,66,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x67>
tensor<[12,1,67,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x68>
tensor<[12,1,68,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x69>
tensor<[12,1,69,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x7>
tensor<[12,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x70>
tensor<[12,1,70,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x71>
tensor<[12,1,71,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x72>
tensor<[12,1,72,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x73>
tensor<[12,1,73,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x74>
tensor<[12,1,74,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x75>
tensor<[12,1,75,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x76>
tensor<[12,1,76,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x77>
tensor<[12,1,77,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x78>
tensor<[12,1,78,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x79>
tensor<[12,1,79,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x8>
tensor<[12,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x80>
tensor<[12,1,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x81>
tensor<[12,1,81,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x82>
tensor<[12,1,82,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x83>
tensor<[12,1,83,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x84>
tensor<[12,1,84,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x85>
tensor<[12,1,85,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x86>
tensor<[12,1,86,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x87>
tensor<[12,1,87,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x88>
tensor<[12,1,88,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x89>
tensor<[12,1,89,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x1x9>
tensor<[12,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x90>
tensor<[12,1,90,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x91>
tensor<[12,1,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x92>
tensor<[12,1,92,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x93>
tensor<[12,1,93,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x94>
tensor<[12,1,94,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x95>
tensor<[12,1,95,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<12x1x96>
tensor<[12,1,96,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x97>
tensor<[12,1,97,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x98>
tensor<[12,1,98,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<12x1x99>
tensor<[12,1,99,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<12x1x64>
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<76x2>>, >
shape: #ttnn.shape<12x201x64>
tensor<[12,201,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<76x7>>, >
shape: #ttnn.shape<12x201x201>
tensor<[12,201,201,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<97x2>>, >
shape: #ttnn.shape<12x257x64>
tensor<[12,257,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<97x9>>, >
shape: #ttnn.shape<12x257x257>
tensor<[12,257,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<12x25x64>
tensor<[12,25,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<12x25x25>
tensor<[12,25,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<17x2>>, >
shape: #ttnn.shape<12x45x64>
tensor<[12,45,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<17x2>>, >
shape: #ttnn.shape<12x45x45>
tensor<[12,45,45,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x2>>, >
shape: #ttnn.shape<12x50x64>
tensor<[12,50,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x2>>, >
shape: #ttnn.shape<12x50x50>
tensor<[12,50,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<12x7x7>
tensor<[12,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<12x7x64>
tensor<[12,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<12x8x8>
tensor<[12,8,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<12x8x64>
tensor<[12,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<12x9x9>
tensor<[12,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<12x9x64>
tensor<[12,9,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6534x1>>, >
shape: #ttnn.shape<1452x144x32>
tensor<[1452,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6534x5>>, >
shape: #ttnn.shape<1452x144x144>
tensor<[1452,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x1>>, >
shape: #ttnn.shape<1536x16x32>
tensor<[1536,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1536x1>>, >
shape: #ttnn.shape<1536x32x32>
tensor<[1536,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1536x1>>, >
shape: #ttnn.shape<1536x32x32>
tensor<[1536,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3072x1>>, >
shape: #ttnn.shape<1536x64x32>
tensor<[1536,64,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<16x10x64>
tensor<[16,10,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<16x10x10>
tensor<[16,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<685x3>>, >
shape: #ttnn.shape<16x1370x80>
tensor<[16,1370,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<685x43>>, >
shape: #ttnn.shape<16x1370x1370>
tensor<[16,1370,1370,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<99x2>>, >
shape: #ttnn.shape<16x197x64>
tensor<[16,197,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<99x7>>, >
shape: #ttnn.shape<16x197x197>
tensor<[16,197,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x1>
tensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x10>
tensor<[16,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x11>
tensor<[16,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x12>
tensor<[16,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x13>
tensor<[16,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x14>
tensor<[16,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x15>
tensor<[16,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x16>
tensor<[16,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x17>
tensor<[16,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x18>
tensor<[16,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x19>
tensor<[16,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x2>
tensor<[16,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x20>
tensor<[16,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x21>
tensor<[16,1,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x22>
tensor<[16,1,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x23>
tensor<[16,1,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x24>
tensor<[16,1,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x25>
tensor<[16,1,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x26>
tensor<[16,1,26,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x27>
tensor<[16,1,27,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x28>
tensor<[16,1,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x29>
tensor<[16,1,29,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x3>
tensor<[16,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x4>
tensor<[16,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x5>
tensor<[16,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x6>
tensor<[16,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x7>
tensor<[16,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x8>
tensor<[16,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<16x1x9>
tensor<[16,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<16x1x64>
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<16x256x64>
tensor<[16,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x8>>, >
shape: #ttnn.shape<16x256x256>
tensor<[16,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x3>>, >
shape: #ttnn.shape<16x32x96>
tensor<[16,32,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<16x5x64>
tensor<[16,5,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<16x5x5>
tensor<[16,5,5,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<16x6x6>
tensor<[16,6,6,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<16x6x64>
tensor<[16,6,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<16x7x7>
tensor<[16,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<16x7x64>
tensor<[16,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<16x9x9>
tensor<[16,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x1>>, >
shape: #ttnn.shape<16x9x9>
tensor<[16,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x4>>, >
shape: #ttnn.shape<16x9x128>
tensor<[16,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<16x9x64>
tensor<[16,9,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<184x14x14>
tensor<[184,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<184x7x14>
tensor<[184,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<18x14x56>
tensor<[18,14,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x2>>, >
shape: #ttnn.shape<18x28x56>
tensor<[18,28,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<18x56x56>
tensor<[18,56,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<18x56x56>
tensor<[18,56,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<18x56x56>
tensor<[18,56,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<18x7x56>
tensor<[18,7,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x8>>, >
shape: #ttnn.shape<192x128x256>
tensor<[192,128,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (768, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<864x1>>, >
shape: #ttnn.shape<192x144x32>
tensor<[192,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<864x5>>, >
shape: #ttnn.shape<192x144x144>
tensor<[192,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1536x8>>, >
shape: #ttnn.shape<192x256x256>
tensor<[192,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x10x128>
tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x10x1536>
tensor<[1,10,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x11x128>
tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x11x1536>
tensor<[1,11,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x12x1536>
tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x16>
tensor<[1,12,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x13x128>
tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x13x1536>
tensor<[1,13,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x14x128>
tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x14x1536>
tensor<[1,14,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x15x128>
tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x15x1536>
tensor<[1,15,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x32>
tensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x16384x256>
tensor<[1,16384,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<1x19200x64>
tensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x10>>, >
shape: #ttnn.shape<1x19200x300>
tensor<[1,19200,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4748>>, >
shape: #ttnn.shape<1x1x151936>
tensor<[1,1,151936,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x27x768>
tensor<[1,27,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x1>
tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x512x12>
tensor<[1,512,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x1>
tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x12>
tensor<[1,64,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x13>
tensor<[1,64,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x32>
tensor<[1,64,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x6x128>
tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x6x1536>
tensor<[1,6,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x7x128>
tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x7x1536>
tensor<[1,7,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x8x128>
tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x8x1536>
tensor<[1,8,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x9x1536>
tensor<[1,9,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<88x1>>, >
shape: #ttnn.shape<200x14x14>
tensor<[200,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<200x7x14>
tensor<[200,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<972x1>>, >
shape: #ttnn.shape<216x144x32>
tensor<[216,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<972x5>>, >
shape: #ttnn.shape<216x144x144>
tensor<[216,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<240x14x28>
tensor<[240,14,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<240x28x28>
tensor<[240,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<24x13x64>
tensor<[24,13,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<24x13x13>
tensor<[24,13,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<24x32x32>
tensor<[24,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x4>>, >
shape: #ttnn.shape<24x32x128>
tensor<[24,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x4>>, >
shape: #ttnn.shape<256x128x128>
tensor<[256,128,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x4>>, >
shape: #ttnn.shape<256x128x128>
tensor<[256,128,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x4>>, >
shape: #ttnn.shape<256x128x128>
tensor<[256,128,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x4>>, >
shape: #ttnn.shape<256x128x128>
tensor<[256,128,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x4>>, >
shape: #ttnn.shape<256x16x128>
tensor<[256,16,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<256x16x32>
tensor<[256,16,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<256x32x32>
tensor<[256,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x4>>, >
shape: #ttnn.shape<256x32x128>
tensor<[256,32,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x2>>, >
shape: #ttnn.shape<256x49x49>
tensor<[256,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<256x49x32>
tensor<[256,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<256x64x128>
tensor<[256,64,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x1>>, >
shape: #ttnn.shape<28x13x13>
tensor<[28,13,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x4>>, >
shape: #ttnn.shape<28x13x128>
tensor<[28,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<13068x1>>, >
shape: #ttnn.shape<2904x144x32>
tensor<[2904,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<13068x5>>, >
shape: #ttnn.shape<2904x144x144>
tensor<[2904,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<2x4096x32>
tensor<[2,4096,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x8>>, >
shape: #ttnn.shape<2x4096x256>
tensor<[2,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x2>>, >
shape: #ttnn.shape<2x4800x64>
tensor<[2,4800,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x10>>, >
shape: #ttnn.shape<2x4800x300>
tensor<[2,4800,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<32x32x32>
tensor<[32,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x4>>, >
shape: #ttnn.shape<32x32x128>
tensor<[32,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x2>>, >
shape: #ttnn.shape<32x49x49>
tensor<[32,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<32x49x32>
tensor<[32,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<36x14x28>
tensor<[36,14,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<36x28x28>
tensor<[36,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<36x28x28>
tensor<[36,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<36x7x28>
tensor<[36,7,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1536x4>>, >
shape: #ttnn.shape<384x128x128>
tensor<[384,128,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3072x1>>, >
shape: #ttnn.shape<384x256x32>
tensor<[384,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<384x1>>, >
shape: #ttnn.shape<384x32x32>
tensor<[384,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (384, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x4>>, >
shape: #ttnn.shape<384x64x128>
tensor<[384,64,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x16>>, >
shape: #ttnn.shape<3x1024x512>
tensor<[3,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (96, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<136x2>>, >
shape: #ttnn.shape<3x1445x64>
tensor<[3,1445,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<136x46>>, >
shape: #ttnn.shape<3x1445x1445>
tensor<[3,1445,1445,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x10>>, >
shape: #ttnn.shape<3x320x320>
tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x16>>, >
shape: #ttnn.shape<3x512x512>
tensor<[3,512,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (48, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1944x1>>, >
shape: #ttnn.shape<432x144x32>
tensor<[432,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1944x5>>, >
shape: #ttnn.shape<432x144x144>
tensor<[432,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<480x14x14>
tensor<[480,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<480x7x14>
tensor<[480,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<160x1>>, >
shape: #ttnn.shape<5x1024x32>
tensor<[5,1024,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<160x8>>, >
shape: #ttnn.shape<5x1024x256>
tensor<[5,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<188x2>>, >
shape: #ttnn.shape<5x1200x64>
tensor<[5,1200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<188x10>>, >
shape: #ttnn.shape<5x1200x300>
tensor<[5,1200,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<640x32x64>
tensor<[640,32,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x2>>, >
shape: #ttnn.shape<640x64x64>
tensor<[640,64,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x5>>, >
shape: #ttnn.shape<64x120x160>
tensor<[64,120,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 120 + d1, d2), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x8>>, >
shape: #ttnn.shape<64x160x240>
tensor<[64,160,240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (320, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<64x1x64>
tensor<[64,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<64x1x64>
tensor<[64,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<64x1x1>
tensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<64x1x13>
tensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<64x20x30>
tensor<[64,20,30,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<480x10>>, >
shape: #ttnn.shape<64x240x320>
tensor<[64,240,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 240 + d1, d2), memory_config: (480, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x2>>, >
shape: #ttnn.shape<64x30x40>
tensor<[64,30,40,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 30 + d1, d2), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x15>>, >
shape: #ttnn.shape<64x320x480>
tensor<[64,320,480,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (640, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x2>>, >
shape: #ttnn.shape<64x40x60>
tensor<[64,40,60,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (80, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x20>>, >
shape: #ttnn.shape<64x480x640>
tensor<[64,480,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 480 + d1, d2), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x2>>, >
shape: #ttnn.shape<64x49x49>
tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x1>>, >
shape: #ttnn.shape<64x49x32>
tensor<[64,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x3>>, >
shape: #ttnn.shape<64x60x80>
tensor<[64,60,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<160x4>>, >
shape: #ttnn.shape<64x80x120>
tensor<[64,80,120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (160, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<64x9x9>
tensor<[64,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x2>>, >
shape: #ttnn.shape<64x9x64>
tensor<[64,9,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<672x14x14>
tensor<[672,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<672x7x14>
tensor<[672,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<6x15x64>
tensor<[6,15,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<6x15x15>
tensor<[6,15,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x1>
tensor<[6,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x10>
tensor<[6,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x11>
tensor<[6,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x12>
tensor<[6,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x13>
tensor<[6,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x14>
tensor<[6,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x15>
tensor<[6,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x16>
tensor<[6,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x17>
tensor<[6,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x18>
tensor<[6,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x19>
tensor<[6,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x2>
tensor<[6,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x20>
tensor<[6,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x3>
tensor<[6,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x4>
tensor<[6,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x5>
tensor<[6,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x6>
tensor<[6,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x7>
tensor<[6,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x8>
tensor<[6,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x1x9>
tensor<[6,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<6x1x64>
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<71x7x7>
tensor<[71,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x2>>, >
shape: #ttnn.shape<71x7x64>
tensor<[71,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3267x1>>, >
shape: #ttnn.shape<726x144x32>
tensor<[726,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3267x5>>, >
shape: #ttnn.shape<726x144x144>
tensor<[726,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<72x14x14>
tensor<[72,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x2>>, >
shape: #ttnn.shape<72x28x56>
tensor<[72,28,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x2>>, >
shape: #ttnn.shape<72x56x56>
tensor<[72,56,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<72x7x14>
tensor<[72,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3072x1>>, >
shape: #ttnn.shape<768x128x32>
tensor<[768,128,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x1>>, >
shape: #ttnn.shape<768x32x32>
tensor<[768,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x2>>, >
shape: #ttnn.shape<768x32x64>
tensor<[768,32,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1536x2>>, >
shape: #ttnn.shape<768x64x64>
tensor<[768,64,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3888x1>>, >
shape: #ttnn.shape<864x144x32>
tensor<[864,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3888x5>>, >
shape: #ttnn.shape<864x144x144>
tensor<[864,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<8x100x32>
tensor<[8,100,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x4>>, >
shape: #ttnn.shape<8x100x100>
tensor<[8,100,100,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<8x100x32>
tensor<[8,100,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x3>>, >
shape: #ttnn.shape<8x1024x80>
tensor<[8,1024,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x32>>, >
shape: #ttnn.shape<8x1024x1024>
tensor<[8,1024,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<8x1024x9>
tensor<[8,1024,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x3>>, >
shape: #ttnn.shape<8x1024x80>
tensor<[8,1024,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<8x10x64>
tensor<[8,10,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<8x10x10>
tensor<[8,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x1>
tensor<[8,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x10>
tensor<[8,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x11>
tensor<[8,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x12>
tensor<[8,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x13>
tensor<[8,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x14>
tensor<[8,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x15>
tensor<[8,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x16>
tensor<[8,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x17>
tensor<[8,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x18>
tensor<[8,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x19>
tensor<[8,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x2>
tensor<[8,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x20>
tensor<[8,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x3>
tensor<[8,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x4>
tensor<[8,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x5>
tensor<[8,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x6>
tensor<[8,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x7>
tensor<[8,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x8>
tensor<[8,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1x9>
tensor<[8,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<8x1x64>
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x3>>, >
shape: #ttnn.shape<8x2048x96>
tensor<[8,2048,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<8x2048x256>
tensor<[8,2048,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x8>>, >
shape: #ttnn.shape<8x256x256>
tensor<[8,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<8x256x9>
tensor<[8,256,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x5>>, >
shape: #ttnn.shape<8x256x160>
tensor<[8,256,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x5>>, >
shape: #ttnn.shape<8x256x160>
tensor<[8,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<8x256x32>
tensor<[8,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x64>>, >
shape: #ttnn.shape<8x256x2048>
tensor<[8,256,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x8>>, >
shape: #ttnn.shape<8x256x256>
tensor<[8,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x5>>, >
shape: #ttnn.shape<8x256x160>
tensor<[8,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<75x2>>, >
shape: #ttnn.shape<8x300x64>
tensor<[8,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<75x10>>, >
shape: #ttnn.shape<8x300x300>
tensor<[8,300,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x2>>, >
shape: #ttnn.shape<8x4096x40>
tensor<[8,4096,40,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >
shape: #ttnn.shape<8x4096x4096>
tensor<[8,4096,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x1>>, >
shape: #ttnn.shape<8x4096x9>
tensor<[8,4096,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x2>>, >
shape: #ttnn.shape<8x4096x40>
tensor<[8,4096,40,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x2>>, >
shape: #ttnn.shape<8x64x64>
tensor<[8,64,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<8x64x9>
tensor<[8,64,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x5>>, >
shape: #ttnn.shape<8x64x160>
tensor<[8,64,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x5>>, >
shape: #ttnn.shape<8x64x160>
tensor<[8,64,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<230x1>>, >
shape: #ttnn.shape<8x920x32>
tensor<[8,920,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<90x1>>, >
shape: #ttnn.shape<960x3x7>
tensor<[960,3,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<960x7x7>
tensor<[960,7,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1x1370x1280>
tensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x16x64>
tensor<[1,1,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1x1445x192>
tensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x7>>, >
shape: #ttnn.shape<1x3x224x224>
tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x128>
tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x7x64>
tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x197x768>
tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<1x257x768>
tensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x50x768>
tensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<88x1>>, >
shape: #ttnn.shape<1x200x14x14>
tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11>
tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<231x1>>, >
shape: #ttnn.shape<1x528x14x14>
tensor<[1,528,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 14 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x128>
tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x2x64>
tensor<[1,12,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x12x11x64>
tensor<[1,12,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 132 + d1 * 11 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x12x12x64>
tensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x12x13x64>
tensor<[1,12,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x4>>, >
shape: #ttnn.shape<1x12x12x128>
tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<1x12x14x64>
tensor<[1,12,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<1x12x15x64>
tensor<[1,12,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<1x12x16x64>
tensor<[1,12,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x2>>, >
shape: #ttnn.shape<1x12x17x64>
tensor<[1,12,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x2>>, >
shape: #ttnn.shape<1x12x18x64>
tensor<[1,12,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x12x19x64>
tensor<[1,12,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x12x20x64>
tensor<[1,12,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 20 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x12x3x64>
tensor<[1,12,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x12x4x64>
tensor<[1,12,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x12x5x64>
tensor<[1,12,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x2>>, >
shape: #ttnn.shape<1x12x46x64>
tensor<[1,12,46,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 552 + d1 * 46 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x2>>, >
shape: #ttnn.shape<1x12x47x64>
tensor<[1,12,47,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 564 + d1 * 47 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x2>>, >
shape: #ttnn.shape<1x12x48x64>
tensor<[1,12,48,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 48 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x2>>, >
shape: #ttnn.shape<1x12x49x64>
tensor<[1,12,49,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 588 + d1 * 49 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x2>>, >
shape: #ttnn.shape<1x12x50x64>
tensor<[1,12,50,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x12x6x64>
tensor<[1,12,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x2>>, >
shape: #ttnn.shape<1x12x51x64>
tensor<[1,12,51,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 612 + d1 * 51 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x2>>, >
shape: #ttnn.shape<1x12x52x64>
tensor<[1,12,52,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 624 + d1 * 52 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x2>>, >
shape: #ttnn.shape<1x12x53x64>
tensor<[1,12,53,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 636 + d1 * 53 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x2>>, >
shape: #ttnn.shape<1x12x54x64>
tensor<[1,12,54,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 648 + d1 * 54 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x2>>, >
shape: #ttnn.shape<1x12x55x64>
tensor<[1,12,55,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 660 + d1 * 55 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x2>>, >
shape: #ttnn.shape<1x12x56x64>
tensor<[1,12,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x2>>, >
shape: #ttnn.shape<1x24x56x56>
tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<22x2>>, >
shape: #ttnn.shape<1x12x57x64>
tensor<[1,12,57,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 684 + d1 * 57 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<22x2>>, >
shape: #ttnn.shape<1x12x58x64>
tensor<[1,12,58,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 58 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<23x2>>, >
shape: #ttnn.shape<1x12x59x64>
tensor<[1,12,59,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 708 + d1 * 59 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<23x2>>, >
shape: #ttnn.shape<1x12x60x64>
tensor<[1,12,60,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 * 60 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x12x7x64>
tensor<[1,12,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<23x2>>, >
shape: #ttnn.shape<1x12x61x64>
tensor<[1,12,61,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 732 + d1 * 61 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x2>>, >
shape: #ttnn.shape<1x12x62x64>
tensor<[1,12,62,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 744 + d1 * 62 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x2>>, >
shape: #ttnn.shape<1x12x63x64>
tensor<[1,12,63,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 756 + d1 * 63 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x2>>, >
shape: #ttnn.shape<1x12x64x64>
tensor<[1,12,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x2>>, >
shape: #ttnn.shape<1x12x65x64>
tensor<[1,12,65,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 780 + d1 * 65 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x2>>, >
shape: #ttnn.shape<1x12x66x64>
tensor<[1,12,66,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 66 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<26x2>>, >
shape: #ttnn.shape<1x12x67x64>
tensor<[1,12,67,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 804 + d1 * 67 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<26x2>>, >
shape: #ttnn.shape<1x12x68x64>
tensor<[1,12,68,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 * 68 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<26x2>>, >
shape: #ttnn.shape<1x12x69x64>
tensor<[1,12,69,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 828 + d1 * 69 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<27x2>>, >
shape: #ttnn.shape<1x12x70x64>
tensor<[1,12,70,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 840 + d1 * 70 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x12x8x64>
tensor<[1,12,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<27x2>>, >
shape: #ttnn.shape<1x12x71x64>
tensor<[1,12,71,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 852 + d1 * 71 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<27x2>>, >
shape: #ttnn.shape<1x12x72x64>
tensor<[1,12,72,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 72 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x2>>, >
shape: #ttnn.shape<1x12x73x64>
tensor<[1,12,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 876 + d1 * 73 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x2>>, >
shape: #ttnn.shape<1x12x74x64>
tensor<[1,12,74,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 888 + d1 * 74 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x2>>, >
shape: #ttnn.shape<1x12x75x64>
tensor<[1,12,75,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 75 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x2>>, >
shape: #ttnn.shape<1x12x76x64>
tensor<[1,12,76,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 912 + d1 * 76 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x2>>, >
shape: #ttnn.shape<1x12x77x64>
tensor<[1,12,77,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 924 + d1 * 77 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x2>>, >
shape: #ttnn.shape<1x12x78x64>
tensor<[1,12,78,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 936 + d1 * 78 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x2>>, >
shape: #ttnn.shape<1x12x79x64>
tensor<[1,12,79,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 948 + d1 * 79 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x2>>, >
shape: #ttnn.shape<1x12x80x64>
tensor<[1,12,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 80 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x12x9x64>
tensor<[1,12,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<31x2>>, >
shape: #ttnn.shape<1x12x81x64>
tensor<[1,12,81,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 972 + d1 * 81 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<31x2>>, >
shape: #ttnn.shape<1x12x82x64>
tensor<[1,12,82,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 984 + d1 * 82 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<1x12x83x64>
tensor<[1,12,83,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 996 + d1 * 83 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<1x12x84x64>
tensor<[1,12,84,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 84 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<1x12x85x64>
tensor<[1,12,85,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1020 + d1 * 85 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<33x2>>, >
shape: #ttnn.shape<1x12x86x64>
tensor<[1,12,86,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1032 + d1 * 86 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<33x2>>, >
shape: #ttnn.shape<1x12x87x64>
tensor<[1,12,87,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1044 + d1 * 87 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<33x2>>, >
shape: #ttnn.shape<1x12x88x64>
tensor<[1,12,88,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 * 88 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<34x2>>, >
shape: #ttnn.shape<1x12x89x64>
tensor<[1,12,89,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1068 + d1 * 89 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<34x2>>, >
shape: #ttnn.shape<1x12x90x64>
tensor<[1,12,90,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 90 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x12x10x64>
tensor<[1,12,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x2>>, >
shape: #ttnn.shape<1x12x91x64>
tensor<[1,12,91,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 91 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x2>>, >
shape: #ttnn.shape<1x12x92x64>
tensor<[1,12,92,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1104 + d1 * 92 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x2>>, >
shape: #ttnn.shape<1x12x93x64>
tensor<[1,12,93,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1116 + d1 * 93 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<36x2>>, >
shape: #ttnn.shape<1x12x94x64>
tensor<[1,12,94,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1128 + d1 * 94 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<36x2>>, >
shape: #ttnn.shape<1x12x95x64>
tensor<[1,12,95,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1140 + d1 * 95 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<36x2>>, >
shape: #ttnn.shape<1x12x96x64>
tensor<[1,12,96,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 96 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<37x2>>, >
shape: #ttnn.shape<1x12x97x64>
tensor<[1,12,97,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1164 + d1 * 97 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<37x2>>, >
shape: #ttnn.shape<1x12x98x64>
tensor<[1,12,98,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1176 + d1 * 98 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x2>>, >
shape: #ttnn.shape<1x12x99x64>
tensor<[1,12,99,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1188 + d1 * 99 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x240x28x28>
tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x3>>, >
shape: #ttnn.shape<1x16128x85>
tensor<[1,16128,85,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16128 + d1, d2), memory_config: (504, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x4>>, >
shape: #ttnn.shape<1x256x112x112>
tensor<[1,256,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 112 + d2, d3), memory_config: (896, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x24>>, >
shape: #ttnn.shape<1x128x128x768>
tensor<[1,128,128,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x448x28x28>
tensor<[1,448,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x256x28x28>
tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x1>>, >
shape: #ttnn.shape<1x185x28x28>
tensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (162, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x480x28x28>
tensor<[1,480,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x512x28x28>
tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x480x28x28>
tensor<[1,480,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x448x28x28>
tensor<[1,448,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x416x28x28>
tensor<[1,416,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x384x28x28>
tensor<[1,384,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x352x28x28>
tensor<[1,352,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x320x28x28>
tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x288x28x28>
tensor<[1,288,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x256x28x28>
tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x224x28x28>
tensor<[1,224,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x192x28x28>
tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<140x1>>, >
shape: #ttnn.shape<1x160x28x28>
tensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x256x32x32>
tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x2>>, >
shape: #ttnn.shape<1x256x64x64>
tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x2>>, >
shape: #ttnn.shape<1x384x64x64>
tensor<[1,384,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 64 + d2, d3), memory_config: (768, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x1>>, >
shape: #ttnn.shape<1x2560x16x16>
tensor<[1,2560,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x1920x16x16>
tensor<[1,1920,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1920x1>>, >
shape: #ttnn.shape<1x1920x32x32>
tensor<[1,1920,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x2560x8x8>
tensor<[1,2560,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13>
tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x13x128>
tensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14>
tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x14x14x1024>
tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<217x2>>, >
shape: #ttnn.shape<1x124x56x56>
tensor<[1,124,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 56 + d2, d3), memory_config: (217, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<249x2>>, >
shape: #ttnn.shape<1x142x56x56>
tensor<[1,142,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7952 + d1 * 56 + d2, d3), memory_config: (249, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<179x2>>, >
shape: #ttnn.shape<1x102x56x56>
tensor<[1,102,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5712 + d1 * 56 + d2, d3), memory_config: (179, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<95x2>>, >
shape: #ttnn.shape<1x54x56x56>
tensor<[1,54,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3024 + d1 * 56 + d2, d3), memory_config: (95, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<137x2>>, >
shape: #ttnn.shape<1x78x56x56>
tensor<[1,78,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4368 + d1 * 56 + d2, d3), memory_config: (137, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15>
tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3072x1>>, >
shape: #ttnn.shape<1x3072x32x32>
tensor<[1,3072,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 32 + d2, d3), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16>
tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x16x2x64>
tensor<[1,16,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<1x16x11x64>
tensor<[1,16,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<1x16x11x64>
tensor<[1,16,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<1x16x12x64>
tensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<1x16x12x64>
tensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x2>>, >
shape: #ttnn.shape<1x16x13x64>
tensor<[1,16,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x2>>, >
shape: #ttnn.shape<1x16x13x64>
tensor<[1,16,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x2>>, >
shape: #ttnn.shape<1x16x14x64>
tensor<[1,16,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x2>>, >
shape: #ttnn.shape<1x16x14x64>
tensor<[1,16,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x16x15x64>
tensor<[1,16,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x16x15x64>
tensor<[1,16,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x16x16x64>
tensor<[1,16,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x16x16x64>
tensor<[1,16,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x2>>, >
shape: #ttnn.shape<1x16x17x64>
tensor<[1,16,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x2>>, >
shape: #ttnn.shape<1x16x17x64>
tensor<[1,16,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x96>>, >
shape: #ttnn.shape<1x16x16x3072>
tensor<[1,16,16,3072,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x2>>, >
shape: #ttnn.shape<1x16x18x64>
tensor<[1,16,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x2>>, >
shape: #ttnn.shape<1x16x18x64>
tensor<[1,16,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<1x16x19x64>
tensor<[1,16,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<1x16x19x64>
tensor<[1,16,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<1x16x20x64>
tensor<[1,16,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<1x16x20x64>
tensor<[1,16,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x16x3x64>
tensor<[1,16,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x2>>, >
shape: #ttnn.shape<1x16x21x64>
tensor<[1,16,21,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x2>>, >
shape: #ttnn.shape<1x16x21x64>
tensor<[1,16,21,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x2>>, >
shape: #ttnn.shape<1x16x22x64>
tensor<[1,16,22,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x2>>, >
shape: #ttnn.shape<1x16x22x64>
tensor<[1,16,22,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x2>>, >
shape: #ttnn.shape<1x16x23x64>
tensor<[1,16,23,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x2>>, >
shape: #ttnn.shape<1x16x23x64>
tensor<[1,16,23,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x2>>, >
shape: #ttnn.shape<1x16x24x64>
tensor<[1,16,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x2>>, >
shape: #ttnn.shape<1x16x24x64>
tensor<[1,16,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<13x2>>, >
shape: #ttnn.shape<1x16x25x64>
tensor<[1,16,25,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 25 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<13x2>>, >
shape: #ttnn.shape<1x16x26x64>
tensor<[1,16,26,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 * 26 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x2>>, >
shape: #ttnn.shape<1x16x27x64>
tensor<[1,16,27,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 27 + d2, d3), memory_config: (14, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x2>>, >
shape: #ttnn.shape<1x16x28x64>
tensor<[1,16,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x144x28x28>
tensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<230x1>>, >
shape: #ttnn.shape<1x262x28x28>
tensor<[1,262,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7336 + d1 * 28 + d2, d3), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<151x1>>, >
shape: #ttnn.shape<1x172x28x28>
tensor<[1,172,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4816 + d1 * 28 + d2, d3), memory_config: (151, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<191x1>>, >
shape: #ttnn.shape<1x218x28x28>
tensor<[1,218,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6104 + d1 * 28 + d2, d3), memory_config: (191, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<259x1>>, >
shape: #ttnn.shape<1x296x28x28>
tensor<[1,296,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 28 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<107x1>>, >
shape: #ttnn.shape<1x122x28x28>
tensor<[1,122,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3416 + d1 * 28 + d2, d3), memory_config: (107, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<55x1>>, >
shape: #ttnn.shape<1x62x28x28>
tensor<[1,62,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1736 + d1 * 28 + d2, d3), memory_config: (55, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<83x1>>, >
shape: #ttnn.shape<1x94x28x28>
tensor<[1,94,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2632 + d1 * 28 + d2, d3), memory_config: (83, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x2>>, >
shape: #ttnn.shape<1x16x29x64>
tensor<[1,16,29,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 464 + d1 * 29 + d2, d3), memory_config: (15, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x16x4x64>
tensor<[1,16,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x16x5x64>
tensor<[1,16,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x16x6x64>
tensor<[1,16,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x16x7x64>
tensor<[1,16,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x16x7x64>
tensor<[1,16,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x16x8x64>
tensor<[1,16,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x16x8x64>
tensor<[1,16,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x16x9x64>
tensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x16x9x64>
tensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x16x10x64>
tensor<[1,16,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x16x10x64>
tensor<[1,16,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<172x1>>, >
shape: #ttnn.shape<1x782x7x7>
tensor<[1,782,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5474 + d1 * 7 + d2, d3), memory_config: (172, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<235x1>>, >
shape: #ttnn.shape<1x1072x7x7>
tensor<[1,1072,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7504 + d1 * 7 + d2, d3), memory_config: (235, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<175x1>>, >
shape: #ttnn.shape<1x800x7x7>
tensor<[1,800,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5600 + d1 * 7 + d2, d3), memory_config: (175, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x17>
tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x18>
tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x19>
tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3072x8>>, >
shape: #ttnn.shape<1x384x256x256>
tensor<[1,384,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 256 + d2, d3), memory_config: (3072, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x2>>, >
shape: #ttnn.shape<1x384x35x35>
tensor<[1,384,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<384x1>>, >
shape: #ttnn.shape<1x1536x8x8>
tensor<[1,1536,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 8 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20>
tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x2>
tensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x2x1x128>
tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x2x13x128>
tensor<[1,2,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 * 13 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x2x12x128>
tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x2x14x128>
tensor<[1,2,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 14 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x2x15x128>
tensor<[1,2,15,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 15 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x2x16x128>
tensor<[1,2,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 16 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x17x128>
tensor<[1,2,17,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 * 17 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x18x128>
tensor<[1,2,18,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 18 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x19x128>
tensor<[1,2,19,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38 + d1 * 19 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x20x128>
tensor<[1,2,20,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 20 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x21x128>
tensor<[1,2,21,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 21 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x22x128>
tensor<[1,2,22,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 44 + d1 * 22 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x23x128>
tensor<[1,2,23,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 * 23 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x24x128>
tensor<[1,2,24,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 24 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x25x128>
tensor<[1,2,25,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50 + d1 * 25 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x26x128>
tensor<[1,2,26,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 26 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x27x128>
tensor<[1,2,27,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 27 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x28x128>
tensor<[1,2,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 28 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x2x29x128>
tensor<[1,2,29,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 * 29 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<287x1>>, >
shape: #ttnn.shape<1x328x28x28>
tensor<[1,328,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 28 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x40x28x28>
tensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<242x1>>, >
shape: #ttnn.shape<1x276x28x28>
tensor<[1,276,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7728 + d1 * 28 + d2, d3), memory_config: (242, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<272x1>>, >
shape: #ttnn.shape<1x310x28x28>
tensor<[1,310,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8680 + d1 * 28 + d2, d3), memory_config: (272, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x368x28x28>
tensor<[1,368,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 28 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<408x1>>, >
shape: #ttnn.shape<1x466x28x28>
tensor<[1,466,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13048 + d1 * 28 + d2, d3), memory_config: (408, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<133x1>>, >
shape: #ttnn.shape<1x152x28x28>
tensor<[1,152,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4256 + d1 * 28 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<69x1>>, >
shape: #ttnn.shape<1x78x28x28>
tensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<104x1>>, >
shape: #ttnn.shape<1x118x28x28>
tensor<[1,118,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3304 + d1 * 28 + d2, d3), memory_config: (104, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x21>
tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x22>
tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x23>
tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24>
tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x4>>, >
shape: #ttnn.shape<1x48x112x112>
tensor<[1,48,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 112 + d2, d3), memory_config: (168, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x4>>, >
shape: #ttnn.shape<1x24x32x128>
tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x3234x4>
tensor<[1,3234,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3234 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x3>>, >
shape: #ttnn.shape<1x3234x91>
tensor<[1,3234,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3234 + d1, d2), memory_config: (102, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25>
tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4096x4>>, >
shape: #ttnn.shape<1x1024x128x128>
tensor<[1,1024,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 131072 + d1 * 128 + d2, d3), memory_config: (4096, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x896x14x14>
tensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<784x1>>, >
shape: #ttnn.shape<1x1792x14x14>
tensor<[1,1792,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<770x1>>, >
shape: #ttnn.shape<1x1760x14x14>
tensor<[1,1760,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<756x1>>, >
shape: #ttnn.shape<1x1728x14x14>
tensor<[1,1728,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<742x1>>, >
shape: #ttnn.shape<1x1696x14x14>
tensor<[1,1696,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<728x1>>, >
shape: #ttnn.shape<1x1664x14x14>
tensor<[1,1664,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<714x1>>, >
shape: #ttnn.shape<1x1632x14x14>
tensor<[1,1632,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<700x1>>, >
shape: #ttnn.shape<1x1600x14x14>
tensor<[1,1600,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<686x1>>, >
shape: #ttnn.shape<1x1568x14x14>
tensor<[1,1568,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<672x1>>, >
shape: #ttnn.shape<1x1536x14x14>
tensor<[1,1536,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<658x1>>, >
shape: #ttnn.shape<1x1504x14x14>
tensor<[1,1504,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<644x1>>, >
shape: #ttnn.shape<1x1472x14x14>
tensor<[1,1472,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<630x1>>, >
shape: #ttnn.shape<1x1440x14x14>
tensor<[1,1440,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<616x1>>, >
shape: #ttnn.shape<1x1408x14x14>
tensor<[1,1408,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<602x1>>, >
shape: #ttnn.shape<1x1376x14x14>
tensor<[1,1376,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x1344x14x14>
tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<574x1>>, >
shape: #ttnn.shape<1x1312x14x14>
tensor<[1,1312,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<560x1>>, >
shape: #ttnn.shape<1x1280x14x14>
tensor<[1,1280,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<546x1>>, >
shape: #ttnn.shape<1x1248x14x14>
tensor<[1,1248,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<532x1>>, >
shape: #ttnn.shape<1x1216x14x14>
tensor<[1,1216,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<518x1>>, >
shape: #ttnn.shape<1x1184x14x14>
tensor<[1,1184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x1>>, >
shape: #ttnn.shape<1x1152x14x14>
tensor<[1,1152,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<490x1>>, >
shape: #ttnn.shape<1x1120x14x14>
tensor<[1,1120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<476x1>>, >
shape: #ttnn.shape<1x1088x14x14>
tensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<462x1>>, >
shape: #ttnn.shape<1x1056x14x14>
tensor<[1,1056,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x1024x14x14>
tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<434x1>>, >
shape: #ttnn.shape<1x992x14x14>
tensor<[1,992,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x960x14x14>
tensor<[1,960,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x1>>, >
shape: #ttnn.shape<1x928x14x14>
tensor<[1,928,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x896x14x14>
tensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<378x1>>, >
shape: #ttnn.shape<1x864x14x14>
tensor<[1,864,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x832x14x14>
tensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<350x1>>, >
shape: #ttnn.shape<1x800x14x14>
tensor<[1,800,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x768x14x14>
tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x736x14x14>
tensor<[1,736,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x704x14x14>
tensor<[1,704,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x640x14x14>
tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<266x1>>, >
shape: #ttnn.shape<1x608x14x14>
tensor<[1,608,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x576x14x14>
tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x544x14x14>
tensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x448x14x14>
tensor<[1,448,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<182x1>>, >
shape: #ttnn.shape<1x416x14x14>
tensor<[1,416,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x384x14x14>
tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<154x1>>, >
shape: #ttnn.shape<1x352x14x14>
tensor<[1,352,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<140x1>>, >
shape: #ttnn.shape<1x320x14x14>
tensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x288x14x14>
tensor<[1,288,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x832x14x14>
tensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x512x16x16>
tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<644x1>>, >
shape: #ttnn.shape<1x736x28x28>
tensor<[1,736,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 28 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x512x32x32>
tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x1>>, >
shape: #ttnn.shape<1x768x32x32>
tensor<[1,768,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x2>>, >
shape: #ttnn.shape<1x512x56x56>
tensor<[1,512,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<182x1>>, >
shape: #ttnn.shape<1x832x7x7>
tensor<[1,832,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x512x8x8>
tensor<[1,512,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<384x1>>, >
shape: #ttnn.shape<1x1536x8x8>
tensor<[1,1536,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 8 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x26>
tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27>
tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x28>
tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x4>>, >
shape: #ttnn.shape<1x28x13x128>
tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x16>>, >
shape: #ttnn.shape<1x28x28x512>
tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x29>
tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x30>
tensor<[1,30,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x3>
tensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x3>>, >
shape: #ttnn.shape<1x3x16x16x85>
tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x3>>, >
shape: #ttnn.shape<1x3x32x32x85>
tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<384x3>>, >
shape: #ttnn.shape<1x3x64x64x85>
tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x4>>, >
shape: #ttnn.shape<1x64x128x128>
tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x64x256x256>
tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1x32x32x1536>
tensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x4>>, >
shape: #ttnn.shape<1x32x32x128>
tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x96>>, >
shape: #ttnn.shape<1x32x32x3072>
tensor<[1,32,32,3072,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x32x128>
tensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x2>>, >
shape: #ttnn.shape<1x640x64x64>
tensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x2>>, >
shape: #ttnn.shape<1x72x56x56>
tensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3072x4>>, >
shape: #ttnn.shape<1x768x128x128>
tensor<[1,768,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 128 + d2, d3), memory_config: (3072, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<544x1>>, >
shape: #ttnn.shape<1x1024x17x17>
tensor<[1,1024,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17408 + d1 * 17 + d2, d3), memory_config: (544, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<544x1>>, >
shape: #ttnn.shape<1x1024x17x17>
tensor<[1,1024,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17408 + d1 * 17 + d2, d3), memory_config: (544, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5760x1>>, >
shape: #ttnn.shape<1x5760x32x32>
tensor<[1,5760,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184320 + d1 * 32 + d2, d3), memory_config: (5760, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x1024x7x7>
tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x4>
tensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x4x13x128>
tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<69x1>>, >
shape: #ttnn.shape<1x156x14x14>
tensor<[1,156,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 14 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<104x1>>, >
shape: #ttnn.shape<1x236x14x14>
tensor<[1,236,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3304 + d1 * 14 + d2, d3), memory_config: (104, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<158x1>>, >
shape: #ttnn.shape<1x360x14x14>
tensor<[1,360,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5040 + d1 * 14 + d2, d3), memory_config: (158, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<287x1>>, >
shape: #ttnn.shape<1x654x14x14>
tensor<[1,654,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9156 + d1 * 14 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x80x14x14>
tensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<324x1>>, >
shape: #ttnn.shape<1x740x14x14>
tensor<[1,740,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10360 + d1 * 14 + d2, d3), memory_config: (324, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x544x14x14>
tensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<133x1>>, >
shape: #ttnn.shape<1x304x14x14>
tensor<[1,304,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4256 + d1 * 14 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<188x1>>, >
shape: #ttnn.shape<1x428x14x14>
tensor<[1,428,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5992 + d1 * 14 + d2, d3), memory_config: (188, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x46>
tensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x47>
tensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x48>
tensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x49>
tensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x50>
tensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x5>
tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x5x16x64>
tensor<[1,5,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x51>
tensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<476x1>>, >
shape: #ttnn.shape<1x1088x14x14>
tensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x1>>, >
shape: #ttnn.shape<1x1024x28x28>
tensor<[1,1024,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x1280x7x7>
tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x52>
tensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x53>
tensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x54>
tensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x55>
tensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x56>
tensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x112x14x14>
tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x57>
tensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x58>
tensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x59>
tensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x60>
tensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6>
tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x6x2x64>
tensor<[1,6,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x6x11x64>
tensor<[1,6,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 66 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x6x12x64>
tensor<[1,6,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x6x13x64>
tensor<[1,6,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 * 13 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x6x14x64>
tensor<[1,6,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 14 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x6x15x64>
tensor<[1,6,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x6x16x64>
tensor<[1,6,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x6x17x64>
tensor<[1,6,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102 + d1 * 17 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x6x18x64>
tensor<[1,6,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 18 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x6x19x64>
tensor<[1,6,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 114 + d1 * 19 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x6x20x64>
tensor<[1,6,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 20 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x6x3x64>
tensor<[1,6,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x6x4x64>
tensor<[1,6,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x6x5x64>
tensor<[1,6,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 5 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x6x6x64>
tensor<[1,6,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x6x7x64>
tensor<[1,6,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x6x8x64>
tensor<[1,6,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x6x9x64>
tensor<[1,6,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 9 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x6x10x64>
tensor<[1,6,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 10 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x120x28x28>
tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x61>
tensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x62>
tensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x63>
tensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x64>
tensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<480x5>>, >
shape: #ttnn.shape<1x128x120x160>
tensor<[1,128,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 120 + d2, d3), memory_config: (480, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<1x128x128x128>
tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x7>>, >
shape: #ttnn.shape<1x128x224x224>
tensor<[1,128,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 224 + d2, d3), memory_config: (896, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x256x28x28>
tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x2>>, >
shape: #ttnn.shape<1x128x30x40>
tensor<[1,128,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 30 + d2, d3), memory_config: (120, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<784x2>>, >
shape: #ttnn.shape<1x448x56x56>
tensor<[1,448,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 56 + d2, d3), memory_config: (784, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x2>>, >
shape: #ttnn.shape<1x256x56x56>
tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x2>>, >
shape: #ttnn.shape<1x224x56x56>
tensor<[1,224,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x2>>, >
shape: #ttnn.shape<1x192x56x56>
tensor<[1,192,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x2>>, >
shape: #ttnn.shape<1x160x56x56>
tensor<[1,160,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x2>>, >
shape: #ttnn.shape<1x128x56x56>
tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x2>>, >
shape: #ttnn.shape<1x96x56x56>
tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x2>>, >
shape: #ttnn.shape<1x128x56x56>
tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x3>>, >
shape: #ttnn.shape<1x128x60x80>
tensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<1x64x64x768>
tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x48>>, >
shape: #ttnn.shape<1x64x64x1536>
tensor<[1,64,64,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x2>>, >
shape: #ttnn.shape<1x128x64x64>
tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<365x3>>, >
shape: #ttnn.shape<1x160x73x73>
tensor<[1,160,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11680 + d1 * 73 + d2, d3), memory_config: (365, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x960x32x32>
tensor<[1,960,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x1>>, >
shape: #ttnn.shape<1x1280x32x32>
tensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1920x2>>, >
shape: #ttnn.shape<1x960x64x64>
tensor<[1,960,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x65>
tensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x66>
tensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x67>
tensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x68>
tensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x69>
tensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x70>
tensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7>
tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x64>>, >
shape: #ttnn.shape<1x7x7x2048>
tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x71>
tensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x2>>, >
shape: #ttnn.shape<1x71x7x64>
tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x72>
tensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x73>
tensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x74>
tensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x75>
tensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x76>
tensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3072x2>>, >
shape: #ttnn.shape<1x1536x64x64>
tensor<[1,1536,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 64 + d2, d3), memory_config: (3072, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<315x1>>, >
shape: #ttnn.shape<1x1440x7x7>
tensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x77>
tensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x78>
tensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x79>
tensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x80>
tensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8>
tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x8x2x64>
tensor<[1,8,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x8x11x64>
tensor<[1,8,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x8x12x64>
tensor<[1,8,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x4>>, >
shape: #ttnn.shape<1x16x112x112>
tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x8x13x64>
tensor<[1,8,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 104 + d1 * 13 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x8x14x64>
tensor<[1,8,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 14 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x8x15x64>
tensor<[1,8,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 15 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x8x16x64>
tensor<[1,8,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 16 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x8x17x64>
tensor<[1,8,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 * 17 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x8x18x64>
tensor<[1,8,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 18 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x8x19x64>
tensor<[1,8,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 152 + d1 * 19 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x8x20x64>
tensor<[1,8,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 20 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x8x3x64>
tensor<[1,8,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x8x4x64>
tensor<[1,8,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x4>>, >
shape: #ttnn.shape<1x8x32x128>
tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x8x5x64>
tensor<[1,8,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x8x6x64>
tensor<[1,8,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x8x7x64>
tensor<[1,8,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x8x8x64>
tensor<[1,8,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x201x768>
tensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x8x9x64>
tensor<[1,8,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x8x10x64>
tensor<[1,8,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x160x7x7>
tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x81>
tensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x82>
tensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x83>
tensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x84>
tensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x85>
tensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x86>
tensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x87>
tensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x88>
tensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x89>
tensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x1920x7x7>
tensor<[1,1920,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<413x1>>, >
shape: #ttnn.shape<1x1888x7x7>
tensor<[1,1888,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x1>>, >
shape: #ttnn.shape<1x1856x7x7>
tensor<[1,1856,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<399x1>>, >
shape: #ttnn.shape<1x1824x7x7>
tensor<[1,1824,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x1792x7x7>
tensor<[1,1792,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<385x1>>, >
shape: #ttnn.shape<1x1760x7x7>
tensor<[1,1760,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<378x1>>, >
shape: #ttnn.shape<1x1728x7x7>
tensor<[1,1728,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<371x1>>, >
shape: #ttnn.shape<1x1696x7x7>
tensor<[1,1696,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x1664x7x7>
tensor<[1,1664,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<357x1>>, >
shape: #ttnn.shape<1x1632x7x7>
tensor<[1,1632,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<350x1>>, >
shape: #ttnn.shape<1x1600x7x7>
tensor<[1,1600,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<343x1>>, >
shape: #ttnn.shape<1x1568x7x7>
tensor<[1,1568,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x1536x7x7>
tensor<[1,1536,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<329x1>>, >
shape: #ttnn.shape<1x1504x7x7>
tensor<[1,1504,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x1472x7x7>
tensor<[1,1472,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<315x1>>, >
shape: #ttnn.shape<1x1440x7x7>
tensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x1408x7x7>
tensor<[1,1408,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<301x1>>, >
shape: #ttnn.shape<1x1376x7x7>
tensor<[1,1376,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x1344x7x7>
tensor<[1,1344,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<287x1>>, >
shape: #ttnn.shape<1x1312x7x7>
tensor<[1,1312,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x1280x7x7>
tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<273x1>>, >
shape: #ttnn.shape<1x1248x7x7>
tensor<[1,1248,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<266x1>>, >
shape: #ttnn.shape<1x1216x7x7>
tensor<[1,1216,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<259x1>>, >
shape: #ttnn.shape<1x1184x7x7>
tensor<[1,1184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x1152x7x7>
tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<245x1>>, >
shape: #ttnn.shape<1x1120x7x7>
tensor<[1,1120,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x1088x7x7>
tensor<[1,1088,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<231x1>>, >
shape: #ttnn.shape<1x1056x7x7>
tensor<[1,1056,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x1024x7x7>
tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<217x1>>, >
shape: #ttnn.shape<1x992x7x7>
tensor<[1,992,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<203x1>>, >
shape: #ttnn.shape<1x928x7x7>
tensor<[1,928,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x90>
tensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x7>>, >
shape: #ttnn.shape<1x201>
tensor<[1,201,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9>
tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x91>
tensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x92>
tensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<1x184x14x14>
tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x93>
tensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x94>
tensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x95>
tensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x96>
tensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x2>>, >
shape: #ttnn.shape<1x384x35x35>
tensor<[1,384,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<426x3>>, >
shape: #ttnn.shape<1x192x71x71>
tensor<[1,192,71,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13632 + d1 * 71 + d2, d3), memory_config: (426, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x97>
tensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x98>
tensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x99>
tensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x100>
tensor<[1,100,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<4x13x768>
tensor<[4,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<4x13>
tensor<[4,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<3234x2>
tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1024>>, >
shape: #ttnn.shape<1x1x100x1024>
tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1024>>, >
shape: #ttnn.shape<1x1x100x1024>
tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1536>>, >
shape: #ttnn.shape<1x1x100x1536>
tensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x256>>, >
shape: #ttnn.shape<1x1x16384x256>
tensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1024>>, >
shape: #ttnn.shape<1x1x196x1024>
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1024>>, >
shape: #ttnn.shape<1x1x196x1024>
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1024>>, >
shape: #ttnn.shape<1x1x196x1024>
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x2048>>, >
shape: #ttnn.shape<1x1x196x2048>
tensor<[1,1,196,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x2048>>, >
shape: #ttnn.shape<1x1x49x2048>
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x512>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1024>>, >
shape: #ttnn.shape<1x1x256x1024>
tensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x1024x16x16>
tensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x255>>, >
shape: #ttnn.shape<1x1x256x255>
tensor<[1,1,256,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x255x16x16>
tensor<[1,255,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x512>>, >
shape: #ttnn.shape<1x1x256x512>
tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x128>>, >
shape: #ttnn.shape<1x1x289x128>
tensor<[1,1,289,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x192>>, >
shape: #ttnn.shape<1x1x289x192>
tensor<[1,1,289,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x256>>, >
shape: #ttnn.shape<1x1x289x256>
tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x384>>, >
shape: #ttnn.shape<1x1x289x384>
tensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1024>>, >
shape: #ttnn.shape<1x1x100x1024>
tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1024>>, >
shape: #ttnn.shape<1x1x1x1024>
tensor<[1,1,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x1024x1x1>
tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1024>>, >
shape: #ttnn.shape<1x1x196x1024>
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<920x2048>>, >
shape: #ttnn.shape<1x1x920x2048>
tensor<[1,1,920,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x256>>, >
shape: #ttnn.shape<1x1x3600x256>
tensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x512>>, >
shape: #ttnn.shape<1x1x3600x512>
tensor<[1,1,3600,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<512x256>>, >
shape: #ttnn.shape<1x1x512x256>
tensor<[1,1,512,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<1x256x512>
tensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x2048>>, >
shape: #ttnn.shape<1x1x49x2048>
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x2048x7x7>
tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x2048>>, >
shape: #ttnn.shape<1x1x49x2048>
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x40>>, >
shape: #ttnn.shape<1x1x3136x40>
tensor<[1,1,3136,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x462>>, >
shape: #ttnn.shape<1x1x49x462>
tensor<[1,1,49,462,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 462, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x768>>, >
shape: #ttnn.shape<1x1x196x768>
tensor<[1,1,196,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x112>>, >
shape: #ttnn.shape<1x1x49x112>
tensor<[1,1,49,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 112, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x224>>, >
shape: #ttnn.shape<1x1x196x224>
tensor<[1,1,196,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 224, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x336>>, >
shape: #ttnn.shape<1x1x196x336>
tensor<[1,1,196,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x672>>, >
shape: #ttnn.shape<1x1x196x672>
tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<225x672>>, >
shape: #ttnn.shape<1x1x225x672>
tensor<[1,1,225,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x672>>, >
shape: #ttnn.shape<1x1x400x672>
tensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x672>>, >
shape: #ttnn.shape<1x1x576x672>
tensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x160>>, >
shape: #ttnn.shape<1x1x49x160>
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x672>>, >
shape: #ttnn.shape<1x1x49x672>
tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1152>>, >
shape: #ttnn.shape<1x1x49x1152>
tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1152>>, >
shape: #ttnn.shape<1x1x49x1152>
tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x192>>, >
shape: #ttnn.shape<1x1x49x192>
tensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x320>>, >
shape: #ttnn.shape<1x1x49x320>
tensor<[1,1,49,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x1152>>, >
shape: #ttnn.shape<1x1x64x1152>
tensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x1152>>, >
shape: #ttnn.shape<1x1x64x1152>
tensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x192>>, >
shape: #ttnn.shape<1x1x64x192>
tensor<[1,1,64,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x320>>, >
shape: #ttnn.shape<1x1x64x320>
tensor<[1,1,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x40>>, >
shape: #ttnn.shape<1x1x196x40>
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x34>>, >
shape: #ttnn.shape<1x1x784x34>
tensor<[1,1,784,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x120>>, >
shape: #ttnn.shape<1x1x196x120>
tensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x120>>, >
shape: #ttnn.shape<1x1x196x120>
tensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x720>>, >
shape: #ttnn.shape<1x1x289x720>
tensor<[1,1,289,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1x32>
tensor<[1,1,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x480>>, >
shape: #ttnn.shape<1x1x1x480>
tensor<[1,1,1,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x1>>, >
shape: #ttnn.shape<1x480x1x1>
tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x120>>, >
shape: #ttnn.shape<1x1x784x120>
tensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x120>>, >
shape: #ttnn.shape<1x1x784x120>
tensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x20>>, >
shape: #ttnn.shape<1x1x784x20>
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x40>>, >
shape: #ttnn.shape<1x1x784x40>
tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1600x120>>, >
shape: #ttnn.shape<1x1x1600x120>
tensor<[1,1,1600,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1600x40>>, >
shape: #ttnn.shape<1x1x1600x40>
tensor<[1,1,1600,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x46>>, >
shape: #ttnn.shape<1x1x784x46>
tensor<[1,1,784,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<81x1248>>, >
shape: #ttnn.shape<1x1x81x1248>
tensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<81x1248>>, >
shape: #ttnn.shape<1x1x81x1248>
tensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<81x208>>, >
shape: #ttnn.shape<1x1x81x208>
tensor<[1,1,81,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<81x352>>, >
shape: #ttnn.shape<1x1x81x352>
tensor<[1,1,81,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 352, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1280>>, >
shape: #ttnn.shape<1x1x256x1280>
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1280>>, >
shape: #ttnn.shape<1x1x256x1280>
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x1280>>, >
shape: #ttnn.shape<1x1x64x1280>
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1200x1280>>, >
shape: #ttnn.shape<1x1x1200x1280>
tensor<[1,1,1200,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1200x2>>, >
shape: #ttnn.shape<1x1280x30x40>
tensor<[1,1280,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38400 + d1 * 30 + d2, d3), memory_config: (1200, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x1280>>, >
shape: #ttnn.shape<1x1x1024x1280>
tensor<[1,1,1024,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x1>>, >
shape: #ttnn.shape<1x1280x32x32>
tensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x512>>, >
shape: #ttnn.shape<1x1x49x512>
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x1280>>, >
shape: #ttnn.shape<1x1x64x1280>
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x1280>>, >
shape: #ttnn.shape<1x1x64x1280>
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x128>>, >
shape: #ttnn.shape<1x1x12544x128>
tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x4>>, >
shape: #ttnn.shape<1x128x112x112>
tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x128>>, >
shape: #ttnn.shape<1x1x12544x128>
tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<19200x64>>, >
shape: #ttnn.shape<1x1x19200x64>
tensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x5>>, >
shape: #ttnn.shape<1x64x120x160>
tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x128>>, >
shape: #ttnn.shape<1x1x16384x128>
tensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<1x128x128x128>
tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x256>>, >
shape: #ttnn.shape<1x1x4096x256>
tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x64>>, >
shape: #ttnn.shape<1x1x16384x64>
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x64>>, >
shape: #ttnn.shape<1x1x16384x64>
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x32>>, >
shape: #ttnn.shape<1x1x196x32>
tensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x512>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22500x128>>, >
shape: #ttnn.shape<1x1x22500x128>
tensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22500x128>>, >
shape: #ttnn.shape<1x1x22500x128>
tensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x128>>, >
shape: #ttnn.shape<1x1x5625x128>
tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14400x128>>, >
shape: #ttnn.shape<1x1x14400x128>
tensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x1x128>
tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x1x24>
tensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24x1x1>
tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x546>>, >
shape: #ttnn.shape<1x1x1x546>
tensor<[1,1,1,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 546, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x546x1x1>
tensor<[1,546,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<50176x64>>, >
shape: #ttnn.shape<1x1x50176x64>
tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x16>>, >
shape: #ttnn.shape<1x1x784x16>
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x192>>, >
shape: #ttnn.shape<1x1x784x192>
tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x19>>, >
shape: #ttnn.shape<1x1x784x19>
tensor<[1,1,784,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<17x1>>, >
shape: #ttnn.shape<1x19x28x28>
tensor<[1,19,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x256>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x32>>, >
shape: #ttnn.shape<1x1x784x32>
tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x38>>, >
shape: #ttnn.shape<1x1x784x38>
tensor<[1,1,784,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<34x1>>, >
shape: #ttnn.shape<1x38x28x28>
tensor<[1,38,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x512x28x28>
tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x256>>, >
shape: #ttnn.shape<1x1x4x256>
tensor<[1,1,4,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1200x64>>, >
shape: #ttnn.shape<1x1x1200x64>
tensor<[1,1,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x2>>, >
shape: #ttnn.shape<1x64x30x40>
tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >
shape: #ttnn.shape<1x1x1024x128>
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >
shape: #ttnn.shape<1x1x1024x128>
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x256>>, >
shape: #ttnn.shape<1x1x1024x256>
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x128>>, >
shape: #ttnn.shape<1x1x4x128>
tensor<[1,1,4,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 128, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x256>>, >
shape: #ttnn.shape<1x1x9x256>
tensor<[1,1,9,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >
shape: #ttnn.shape<1x1x3136x256>
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >
shape: #ttnn.shape<1x1x3136x256>
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x2>>, >
shape: #ttnn.shape<1x256x56x56>
tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x256>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x256x28x28>
tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >
shape: #ttnn.shape<1x1x3136x256>
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x32>>, >
shape: #ttnn.shape<1x1x3136x32>
tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x64>>, >
shape: #ttnn.shape<1x1x3136x64>
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x128>>, >
shape: #ttnn.shape<1x1x9x128>
tensor<[1,1,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<300x128>>, >
shape: #ttnn.shape<1x1x300x128>
tensor<[1,1,300,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x1>>, >
shape: #ttnn.shape<1x128x15x20>
tensor<[1,128,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 15 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1200x320>>, >
shape: #ttnn.shape<1x1x1200x320>
tensor<[1,1,1200,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x2>>, >
shape: #ttnn.shape<1x320x30x40>
tensor<[1,320,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4800x64>>, >
shape: #ttnn.shape<1x1x4800x64>
tensor<[1,1,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x3>>, >
shape: #ttnn.shape<1x64x60x80>
tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4800x64>>, >
shape: #ttnn.shape<1x1x4800x64>
tensor<[1,1,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x3>>, >
shape: #ttnn.shape<1x64x60x80>
tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x128>>, >
shape: #ttnn.shape<1x1x4096x128>
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x128>>, >
shape: #ttnn.shape<1x1x4096x128>
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >
shape: #ttnn.shape<1x1x1024x128>
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x255>>, >
shape: #ttnn.shape<1x1x4096x255>
tensor<[1,1,4096,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<510x2>>, >
shape: #ttnn.shape<1x255x64x64>
tensor<[1,255,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x256>>, >
shape: #ttnn.shape<1x1x4096x256>
tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x256>>, >
shape: #ttnn.shape<1x1x1024x256>
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x64>>, >
shape: #ttnn.shape<1x1x4096x64>
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x128>>, >
shape: #ttnn.shape<1x1x5625x128>
tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x128>>, >
shape: #ttnn.shape<1x1x5625x128>
tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x256>>, >
shape: #ttnn.shape<1x1x5625x256>
tensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x32>>, >
shape: #ttnn.shape<1x1x49x32>
tensor<[1,1,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14400x128>>, >
shape: #ttnn.shape<1x1x14400x128>
tensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14400x512>>, >
shape: #ttnn.shape<1x1x14400x512>
tensor<[1,1,14400,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x12>>, >
shape: #ttnn.shape<1x1x3136x12>
tensor<[1,1,3136,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1344>>, >
shape: #ttnn.shape<1x1x196x1344>
tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1344>>, >
shape: #ttnn.shape<1x1x196x1344>
tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x2520>>, >
shape: #ttnn.shape<1x1x196x2520>
tensor<[1,1,196,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2520, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x2520>>, >
shape: #ttnn.shape<1x1x49x2520>
tensor<[1,1,49,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1344>>, >
shape: #ttnn.shape<1x1x196x1344>
tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x816>>, >
shape: #ttnn.shape<1x1x361x816>
tensor<[1,1,361,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1392>>, >
shape: #ttnn.shape<1x1x100x1392>
tensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1392>>, >
shape: #ttnn.shape<1x1x100x1392>
tensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x232>>, >
shape: #ttnn.shape<1x1x100x232>
tensor<[1,1,100,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x384>>, >
shape: #ttnn.shape<1x1x100x384>
tensor<[1,1,100,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 384, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1392>>, >
shape: #ttnn.shape<1x1x196x1392>
tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1392>>, >
shape: #ttnn.shape<1x1x196x1392>
tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x3712>>, >
shape: #ttnn.shape<1x1x196x3712>
tensor<[1,1,196,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 3712, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x3712>>, >
shape: #ttnn.shape<1x1x49x3712>
tensor<[1,1,49,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x174>>, >
shape: #ttnn.shape<1x1x1x174>
tensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x174x1x1>
tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x348>>, >
shape: #ttnn.shape<1x1x1x348>
tensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x348x1x1>
tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1392>>, >
shape: #ttnn.shape<1x1x196x1392>
tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x68>>, >
shape: #ttnn.shape<1x1x3136x68>
tensor<[1,1,3136,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 68, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x288>>, >
shape: #ttnn.shape<1x1x196x288>
tensor<[1,1,196,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 288, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x144>>, >
shape: #ttnn.shape<1x1x5625x144>
tensor<[1,1,5625,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9025x144>>, >
shape: #ttnn.shape<1x1x9025x144>
tensor<[1,1,9025,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x28>>, >
shape: #ttnn.shape<1x1x784x28>
tensor<[1,1,784,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x32>>, >
shape: #ttnn.shape<1x1x784x32>
tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x40>>, >
shape: #ttnn.shape<1x1x784x40>
tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<900x40>>, >
shape: #ttnn.shape<1x1x900x40>
tensor<[1,1,900,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1089x48>>, >
shape: #ttnn.shape<1x1x1089x48>
tensor<[1,1,1089,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x144>>, >
shape: #ttnn.shape<1x1x3136x144>
tensor<[1,1,3136,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x144>>, >
shape: #ttnn.shape<1x1x784x144>
tensor<[1,1,784,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x24>>, >
shape: #ttnn.shape<1x1x3136x24>
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x144>>, >
shape: #ttnn.shape<1x1x784x144>
tensor<[1,1,784,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x144>>, >
shape: #ttnn.shape<1x1x3600x144>
tensor<[1,1,3600,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x24>>, >
shape: #ttnn.shape<1x1x3600x24>
tensor<[1,1,3600,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<900x144>>, >
shape: #ttnn.shape<1x1x900x144>
tensor<[1,1,900,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4225x144>>, >
shape: #ttnn.shape<1x1x4225x144>
tensor<[1,1,4225,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4225x24>>, >
shape: #ttnn.shape<1x1x4225x24>
tensor<[1,1,4225,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1089x144>>, >
shape: #ttnn.shape<1x1x1089x144>
tensor<[1,1,1089,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x32>>, >
shape: #ttnn.shape<1x1x5625x32>
tensor<[1,1,5625,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x144>>, >
shape: #ttnn.shape<1x1x49x144>
tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x18>>, >
shape: #ttnn.shape<1x1x49x18>
tensor<[1,1,49,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 18, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x256>>, >
shape: #ttnn.shape<1x1x49x256>
tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x36>>, >
shape: #ttnn.shape<1x1x49x36>
tensor<[1,1,49,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 36, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x72>>, >
shape: #ttnn.shape<1x1x49x72>
tensor<[1,1,49,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9025x32>>, >
shape: #ttnn.shape<1x1x9025x32>
tensor<[1,1,9025,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x58>>, >
shape: #ttnn.shape<1x1x784x58>
tensor<[1,1,784,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1536>>, >
shape: #ttnn.shape<1x1x100x1536>
tensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1536>>, >
shape: #ttnn.shape<1x1x100x1536>
tensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x2048>>, >
shape: #ttnn.shape<1x1x100x2048>
tensor<[1,1,100,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x256>>, >
shape: #ttnn.shape<1x1x64x256>
tensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x384>>, >
shape: #ttnn.shape<1x1x64x384>
tensor<[1,1,64,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 384, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x68>>, >
shape: #ttnn.shape<1x1x196x68>
tensor<[1,1,196,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x320>>, >
shape: #ttnn.shape<1x1x196x320>
tensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x960>>, >
shape: #ttnn.shape<1x1x576x960>
tensor<[1,1,576,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x160>>, >
shape: #ttnn.shape<1x1x784x160>
tensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x160>>, >
shape: #ttnn.shape<1x1x784x160>
tensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x160>>, >
shape: #ttnn.shape<1x1x256x160>
tensor<[1,1,256,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x160x16x16>
tensor<[1,160,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 16 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x256>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x256x16x16>
tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x960>>, >
shape: #ttnn.shape<1x1x9x960>
tensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5329x64>>, >
shape: #ttnn.shape<1x1x5329x64>
tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x320>>, >
shape: #ttnn.shape<1x1x49x320>
tensor<[1,1,49,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x480>>, >
shape: #ttnn.shape<1x1x49x480>
tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x960>>, >
shape: #ttnn.shape<1x1x49x960>
tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x1632>>, >
shape: #ttnn.shape<1x1x144x1632>
tensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x1632>>, >
shape: #ttnn.shape<1x1x144x1632>
tensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x272>>, >
shape: #ttnn.shape<1x1x144x272>
tensor<[1,1,144,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x448>>, >
shape: #ttnn.shape<1x1x144x448>
tensor<[1,1,144,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 448, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x672>>, >
shape: #ttnn.shape<1x1x1x672>
tensor<[1,1,1,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x672x1x1>
tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x16>>, >
shape: #ttnn.shape<1x1x12544x16>
tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x16>>, >
shape: #ttnn.shape<1x1x12544x16>
tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x16>>, >
shape: #ttnn.shape<1x1x3136x16>
tensor<[1,1,3136,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x24>>, >
shape: #ttnn.shape<1x1x12544x24>
tensor<[1,1,12544,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x64>>, >
shape: #ttnn.shape<1x1x12544x64>
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x8>>, >
shape: #ttnn.shape<1x1x12544x8>
tensor<[1,1,12544,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x96>>, >
shape: #ttnn.shape<1x1x12544x96>
tensor<[1,1,12544,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14400x96>>, >
shape: #ttnn.shape<1x1x14400x96>
tensor<[1,1,14400,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16900x96>>, >
shape: #ttnn.shape<1x1x16900x96>
tensor<[1,1,16900,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x48>>, >
shape: #ttnn.shape<1x1x196x48>
tensor<[1,1,196,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 48, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x4>>, >
shape: #ttnn.shape<1x1x196x4>
tensor<[1,1,196,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x4x14x14>
tensor<[1,4,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25600x16>>, >
shape: #ttnn.shape<1x1x25600x16>
tensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25600x16>>, >
shape: #ttnn.shape<1x1x25600x16>
tensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25600x64>>, >
shape: #ttnn.shape<1x1x25600x64>
tensor<[1,1,25600,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 64, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<50176x16>>, >
shape: #ttnn.shape<1x1x50176x16>
tensor<[1,1,50176,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x32>>, >
shape: #ttnn.shape<1x1x12544x32>
tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x32>>, >
shape: #ttnn.shape<1x1x784x32>
tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x24>>, >
shape: #ttnn.shape<1x1x3136x24>
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x46>>, >
shape: #ttnn.shape<1x1x784x46>
tensor<[1,1,784,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1392>>, >
shape: #ttnn.shape<1x1x1x1392>
tensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x1392x1x1>
tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x696>>, >
shape: #ttnn.shape<1x1x1x696>
tensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<22x1>>, >
shape: #ttnn.shape<1x696x1x1>
tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x896>>, >
shape: #ttnn.shape<1x1x196x896>
tensor<[1,1,196,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 896, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x184>>, >
shape: #ttnn.shape<1x1x196x184>
tensor<[1,1,196,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x40>>, >
shape: #ttnn.shape<1x1x196x40>
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x80>>, >
shape: #ttnn.shape<1x1x196x80>
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x184>>, >
shape: #ttnn.shape<1x1x400x184>
tensor<[1,1,400,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x80>>, >
shape: #ttnn.shape<1x1x400x80>
tensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x184>>, >
shape: #ttnn.shape<1x1x49x184>
tensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x184>>, >
shape: #ttnn.shape<1x1x49x184>
tensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x144>>, >
shape: #ttnn.shape<1x1x49x144>
tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x18>>, >
shape: #ttnn.shape<1x1x196x18>
tensor<[1,1,196,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x72>>, >
shape: #ttnn.shape<1x1x196x72>
tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x18>>, >
shape: #ttnn.shape<1x1x3136x18>
tensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x18>>, >
shape: #ttnn.shape<1x1x784x18>
tensor<[1,1,784,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x32>>, >
shape: #ttnn.shape<1x1x3136x32>
tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x36>>, >
shape: #ttnn.shape<1x1x784x36>
tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1280>>, >
shape: #ttnn.shape<1x1x256x1280>
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1280>>, >
shape: #ttnn.shape<1x1x256x1280>
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x192>>, >
shape: #ttnn.shape<1x1x196x192>
tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x192>>, >
shape: #ttnn.shape<1x1x196x192>
tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x64>>, >
shape: #ttnn.shape<1x1x196x64>
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x192>>, >
shape: #ttnn.shape<1x1x64x192>
tensor<[1,1,64,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x192>>, >
shape: #ttnn.shape<1x1x289x192>
tensor<[1,1,289,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x224>>, >
shape: #ttnn.shape<1x1x289x224>
tensor<[1,1,289,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x16>>, >
shape: #ttnn.shape<1x1x784x16>
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x192>>, >
shape: #ttnn.shape<1x1x784x192>
tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x192>>, >
shape: #ttnn.shape<1x1x196x192>
tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x32>>, >
shape: #ttnn.shape<1x1x784x32>
tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x64>>, >
shape: #ttnn.shape<1x1x784x64>
tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x96>>, >
shape: #ttnn.shape<1x1x784x96>
tensor<[1,1,784,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1225x224>>, >
shape: #ttnn.shape<1x1x1225x224>
tensor<[1,1,1225,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 224, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x48>>, >
shape: #ttnn.shape<1x1x1444x48>
tensor<[1,1,1444,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2304x56>>, >
shape: #ttnn.shape<1x1x2304x56>
tensor<[1,1,2304,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1225x192>>, >
shape: #ttnn.shape<1x1x1225x192>
tensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x192>>, >
shape: #ttnn.shape<1x1x5625x192>
tensor<[1,1,5625,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x32>>, >
shape: #ttnn.shape<1x1x5625x32>
tensor<[1,1,5625,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x192>>, >
shape: #ttnn.shape<1x1x1444x192>
tensor<[1,1,1444,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1152>>, >
shape: #ttnn.shape<1x1x49x1152>
tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x384>>, >
shape: #ttnn.shape<1x1x49x384>
tensor<[1,1,49,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x1152>>, >
shape: #ttnn.shape<1x1x64x1152>
tensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9025x192>>, >
shape: #ttnn.shape<1x1x9025x192>
tensor<[1,1,9025,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9025x32>>, >
shape: #ttnn.shape<1x1x9025x32>
tensor<[1,1,9025,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2304x192>>, >
shape: #ttnn.shape<1x1x2304x192>
tensor<[1,1,2304,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x40>>, >
shape: #ttnn.shape<1x1x196x40>
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x16>>, >
shape: #ttnn.shape<1x1x784x16>
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x16x28x28>
tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<676x32>>, >
shape: #ttnn.shape<1x1x676x32>
tensor<[1,1,676,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 26 + d2, d3), memory_config: (676, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<26x1>>, >
shape: #ttnn.shape<1x32x26x26>
tensor<[1,32,26,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x200>>, >
shape: #ttnn.shape<1x1x196x200>
tensor<[1,1,196,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x40>>, >
shape: #ttnn.shape<1x1x196x40>
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x80>>, >
shape: #ttnn.shape<1x1x196x80>
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x200>>, >
shape: #ttnn.shape<1x1x400x200>
tensor<[1,1,400,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x80>>, >
shape: #ttnn.shape<1x1x400x80>
tensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x200>>, >
shape: #ttnn.shape<1x1x49x200>
tensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x200>>, >
shape: #ttnn.shape<1x1x49x200>
tensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x2048>>, >
shape: #ttnn.shape<1x1x49x2048>
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<300x2048>>, >
shape: #ttnn.shape<1x1x300x2048>
tensor<[1,1,300,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x2048x15x20>
tensor<[1,2048,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 15 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<920x256>>, >
shape: #ttnn.shape<1x1x920x256>
tensor<[1,1,920,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<184x2>>, >
shape: #ttnn.shape<1x256x23x40>
tensor<[1,256,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5888 + d1 * 23 + d2, d3), memory_config: (184, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<920x512>>, >
shape: #ttnn.shape<1x1x920x512>
tensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x2048>>, >
shape: #ttnn.shape<1x1x49x2048>
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x2048>>, >
shape: #ttnn.shape<1x1x49x2048>
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x512>>, >
shape: #ttnn.shape<1x1x49x512>
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<81x1248>>, >
shape: #ttnn.shape<1x1x81x1248>
tensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x72>>, >
shape: #ttnn.shape<1x1x1x72>
tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x72x1x1>
tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x20>>, >
shape: #ttnn.shape<1x1x784x20>
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x78>>, >
shape: #ttnn.shape<1x1x784x78>
tensor<[1,1,784,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 78, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x224>>, >
shape: #ttnn.shape<1x1x289x224>
tensor<[1,1,289,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x256>>, >
shape: #ttnn.shape<1x1x289x256>
tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x256>>, >
shape: #ttnn.shape<1x1x289x256>
tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x256>>, >
shape: #ttnn.shape<1x1x289x256>
tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x224>>, >
shape: #ttnn.shape<1x1x49x224>
tensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x224>>, >
shape: #ttnn.shape<1x1x49x224>
tensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1392>>, >
shape: #ttnn.shape<1x1x100x1392>
tensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x232>>, >
shape: #ttnn.shape<1x1x3136x232>
tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x58>>, >
shape: #ttnn.shape<1x1x1x58>
tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x58x1x1>
tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x8>>, >
shape: #ttnn.shape<1x1x1x8>
tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x1>
tensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x232>>, >
shape: #ttnn.shape<1x1x3136x232>
tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x232>>, >
shape: #ttnn.shape<1x1x3136x232>
tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x696>>, >
shape: #ttnn.shape<1x1x3136x696>
tensor<[1,1,3136,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 696, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x696>>, >
shape: #ttnn.shape<1x1x784x696>
tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x68>>, >
shape: #ttnn.shape<1x1x196x68>
tensor<[1,1,196,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x240>>, >
shape: #ttnn.shape<1x1x196x240>
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x240>>, >
shape: #ttnn.shape<1x1x196x240>
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x240>>, >
shape: #ttnn.shape<1x1x196x240>
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x40>>, >
shape: #ttnn.shape<1x1x196x40>
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x80>>, >
shape: #ttnn.shape<1x1x196x80>
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<225x80>>, >
shape: #ttnn.shape<1x1x225x80>
tensor<[1,1,225,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x960>>, >
shape: #ttnn.shape<1x1x1x960>
tensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 960, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x960x1x1>
tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x80>>, >
shape: #ttnn.shape<1x1x400x80>
tensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x240>>, >
shape: #ttnn.shape<1x1x196x240>
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x240>>, >
shape: #ttnn.shape<1x1x784x240>
tensor<[1,1,784,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x40>>, >
shape: #ttnn.shape<1x1x784x40>
tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x240>>, >
shape: #ttnn.shape<1x1x196x240>
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<900x240>>, >
shape: #ttnn.shape<1x1x900x240>
tensor<[1,1,900,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<900x40>>, >
shape: #ttnn.shape<1x1x900x40>
tensor<[1,1,900,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<225x240>>, >
shape: #ttnn.shape<1x1x225x240>
tensor<[1,1,225,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x240>>, >
shape: #ttnn.shape<1x1x400x240>
tensor<[1,1,400,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 240, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x24>>, >
shape: #ttnn.shape<1x1x12544x24>
tensor<[1,1,12544,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x64>>, >
shape: #ttnn.shape<1x1x196x64>
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22500x144>>, >
shape: #ttnn.shape<1x1x22500x144>
tensor<[1,1,22500,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<36100x144>>, >
shape: #ttnn.shape<1x1x36100x144>
tensor<[1,1,36100,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x72>>, >
shape: #ttnn.shape<1x1x1x72>
tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x72x1x1>
tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x40>>, >
shape: #ttnn.shape<1x1x784x40>
tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x72>>, >
shape: #ttnn.shape<1x1x784x72>
tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x144>>, >
shape: #ttnn.shape<1x1x3136x144>
tensor<[1,1,3136,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x14>>, >
shape: #ttnn.shape<1x1x3136x14>
tensor<[1,1,3136,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x24>>, >
shape: #ttnn.shape<1x1x784x24>
tensor<[1,1,784,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x36>>, >
shape: #ttnn.shape<1x1x3136x36>
tensor<[1,1,3136,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x72>>, >
shape: #ttnn.shape<1x1x3136x72>
tensor<[1,1,3136,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x144>>, >
shape: #ttnn.shape<1x1x3600x144>
tensor<[1,1,3600,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4225x144>>, >
shape: #ttnn.shape<1x1x4225x144>
tensor<[1,1,4225,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6400x72>>, >
shape: #ttnn.shape<1x1x6400x72>
tensor<[1,1,6400,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x2520>>, >
shape: #ttnn.shape<1x1x49x2520>
tensor<[1,1,49,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x2520>>, >
shape: #ttnn.shape<1x1x49x2520>
tensor<[1,1,49,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1280>>, >
shape: #ttnn.shape<1x1x256x1280>
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1280>>, >
shape: #ttnn.shape<1x1x256x1280>
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x1280>>, >
shape: #ttnn.shape<1x1x64x1280>
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x1280>>, >
shape: #ttnn.shape<1x1x64x1280>
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25x256>>, >
shape: #ttnn.shape<1x1x25x256>
tensor<[1,1,25,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 256, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x128>>, >
shape: #ttnn.shape<1x1x12544x128>
tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<19200x256>>, >
shape: #ttnn.shape<1x1x19200x256>
tensor<[1,1,19200,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x5>>, >
shape: #ttnn.shape<1x256x120x160>
tensor<[1,256,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 120 + d2, d3), memory_config: (960, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x150>>, >
shape: #ttnn.shape<1x1x16384x150>
tensor<[1,1,16384,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 150, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x4>>, >
shape: #ttnn.shape<1x150x128x128>
tensor<[1,150,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 128 + d2, d3), memory_config: (600, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1024>>, >
shape: #ttnn.shape<1x1x196x1024>
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x512>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x512>>, >
shape: #ttnn.shape<1x1x49x512>
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x512>>, >
shape: #ttnn.shape<1x1x49x512>
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x256>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x256>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x512>>, >
shape: #ttnn.shape<1x1x256x512>
tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x256>>, >
shape: #ttnn.shape<1x1x289x256>
tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x320>>, >
shape: #ttnn.shape<1x1x289x320>
tensor<[1,1,289,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<57600x128>>, >
shape: #ttnn.shape<1x1x57600x128>
tensor<[1,1,57600,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14400x512>>, >
shape: #ttnn.shape<1x1x14400x512>
tensor<[1,1,14400,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<57600x64>>, >
shape: #ttnn.shape<1x1x57600x64>
tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x1x1x256>
tensor<[1,1,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1x1>
tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x160>>, >
shape: #ttnn.shape<1x1x784x160>
tensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x20>>, >
shape: #ttnn.shape<1x1x784x20>
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x256>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x256>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x256>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x32>>, >
shape: #ttnn.shape<1x1x784x32>
tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x512x28x28>
tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x512>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x64>>, >
shape: #ttnn.shape<1x1x784x64>
tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x24>>, >
shape: #ttnn.shape<1x1x4x24>
tensor<[1,1,4,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 24, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x24x2x2>
tensor<[1,24,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 2 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x256>>, >
shape: #ttnn.shape<1x1x4x256>
tensor<[1,1,4,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x546>>, >
shape: #ttnn.shape<1x1x4x546>
tensor<[1,1,4,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 546, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x546x2x2>
tensor<[1,546,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 2 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x64>>, >
shape: #ttnn.shape<1x1x4x64>
tensor<[1,1,4,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 64, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >
shape: #ttnn.shape<1x1x1024x128>
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x255>>, >
shape: #ttnn.shape<1x1x1024x255>
tensor<[1,1,1024,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<255x1>>, >
shape: #ttnn.shape<1x255x32x32>
tensor<[1,255,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x256>>, >
shape: #ttnn.shape<1x1x1024x256>
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x256>>, >
shape: #ttnn.shape<1x1x1024x256>
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x256>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x512>>, >
shape: #ttnn.shape<1x1x1024x512>
tensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x512>>, >
shape: #ttnn.shape<1x1x256x512>
tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x256>>, >
shape: #ttnn.shape<1x1x1444x256>
tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x256>>, >
shape: #ttnn.shape<1x1x1444x256>
tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x728>>, >
shape: #ttnn.shape<1x1x1444x728>
tensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x128>>, >
shape: #ttnn.shape<1x1x9x128>
tensor<[1,1,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<1x1x9x24>
tensor<[1,1,9,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 24, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x24x3x3>
tensor<[1,24,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 3 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x256>>, >
shape: #ttnn.shape<1x1x9x256>
tensor<[1,1,9,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x546>>, >
shape: #ttnn.shape<1x1x9x546>
tensor<[1,1,9,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 546, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<52x1>>, >
shape: #ttnn.shape<1x546x3x3>
tensor<[1,546,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1638 + d1 * 3 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x1024>>, >
shape: #ttnn.shape<1x1x3600x1024>
tensor<[1,1,3600,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x256>>, >
shape: #ttnn.shape<1x1x3600x256>
tensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<512x1024>>, >
shape: #ttnn.shape<1x1x512x1024>
tensor<[1,1,512,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x16>>, >
shape: #ttnn.shape<1x1024x512>
tensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x18>>, >
shape: #ttnn.shape<1x1x3136x18>
tensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >
shape: #ttnn.shape<1x1x3136x256>
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >
shape: #ttnn.shape<1x1x3136x256>
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x2>>, >
shape: #ttnn.shape<1x256x56x56>
tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >
shape: #ttnn.shape<1x1x3136x256>
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x256>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >
shape: #ttnn.shape<1x1x3136x256>
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x36>>, >
shape: #ttnn.shape<1x1x784x36>
tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x512>>, >
shape: #ttnn.shape<1x1x3136x512>
tensor<[1,1,3136,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x64>>, >
shape: #ttnn.shape<1x1x3136x64>
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25x512>>, >
shape: #ttnn.shape<1x1x25x512>
tensor<[1,1,25,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x128>>, >
shape: #ttnn.shape<1x1x4096x128>
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x128>>, >
shape: #ttnn.shape<1x1x4096x128>
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x255>>, >
shape: #ttnn.shape<1x1x4096x255>
tensor<[1,1,4096,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<510x2>>, >
shape: #ttnn.shape<1x255x64x64>
tensor<[1,255,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x256>>, >
shape: #ttnn.shape<1x1x4096x256>
tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x2>>, >
shape: #ttnn.shape<1x256x64x64>
tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x512>>, >
shape: #ttnn.shape<1x1x1024x512>
tensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x64>>, >
shape: #ttnn.shape<1x1x4096x64>
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x256>>, >
shape: #ttnn.shape<1x1x5625x256>
tensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x256>>, >
shape: #ttnn.shape<1x1x1444x256>
tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x256>>, >
shape: #ttnn.shape<1x1x5625x256>
tensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x256>>, >
shape: #ttnn.shape<1x1x1444x256>
tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x256>>, >
shape: #ttnn.shape<1x1x49x256>
tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x512>>, >
shape: #ttnn.shape<1x1x49x512>
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x256>>, >
shape: #ttnn.shape<1x1x3600x256>
tensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x256>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x1632>>, >
shape: #ttnn.shape<1x1x144x1632>
tensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x160>>, >
shape: #ttnn.shape<1x1x49x160>
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x34>>, >
shape: #ttnn.shape<1x1x784x34>
tensor<[1,1,784,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x88>>, >
shape: #ttnn.shape<1x1x289x88>
tensor<[1,1,289,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x96>>, >
shape: #ttnn.shape<1x1x361x96>
tensor<[1,1,361,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1089x288>>, >
shape: #ttnn.shape<1x1x1089x288>
tensor<[1,1,1089,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1089x48>>, >
shape: #ttnn.shape<1x1x1089x48>
tensor<[1,1,1089,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x288>>, >
shape: #ttnn.shape<1x1x289x288>
tensor<[1,1,289,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 288, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x288>>, >
shape: #ttnn.shape<1x1x1444x288>
tensor<[1,1,1444,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x48>>, >
shape: #ttnn.shape<1x1x1444x48>
tensor<[1,1,1444,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x288>>, >
shape: #ttnn.shape<1x1x361x288>
tensor<[1,1,361,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 288, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x16>>, >
shape: #ttnn.shape<1x1x784x16>
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x134>>, >
shape: #ttnn.shape<1x1x784x134>
tensor<[1,1,784,134,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 134, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x116>>, >
shape: #ttnn.shape<1x1x196x116>
tensor<[1,1,196,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<13x3072>>, >
shape: #ttnn.shape<1x1x13x3072>
tensor<[1,1,13,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (13, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x13>
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14x3072>>, >
shape: #ttnn.shape<1x1x14x3072>
tensor<[1,1,14,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (14, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x14>
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<15x3072>>, >
shape: #ttnn.shape<1x1x15x3072>
tensor<[1,1,15,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (15, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x15>
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16x3072>>, >
shape: #ttnn.shape<1x1x16x3072>
tensor<[1,1,16,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (16, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x16>
tensor<[1,3072,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<17x3072>>, >
shape: #ttnn.shape<1x1x17x3072>
tensor<[1,1,17,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (17, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x17>
tensor<[1,3072,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<18x3072>>, >
shape: #ttnn.shape<1x1x18x3072>
tensor<[1,1,18,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (18, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x18>
tensor<[1,3072,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x3072>>, >
shape: #ttnn.shape<1x1x9x3072>
tensor<[1,1,9,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (9, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x9>
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<10x3072>>, >
shape: #ttnn.shape<1x1x10x3072>
tensor<[1,1,10,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (10, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x10>
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<11x3072>>, >
shape: #ttnn.shape<1x1x11x3072>
tensor<[1,1,11,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (11, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x11>
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x768>>, >
shape: #ttnn.shape<1x1x8x768>
tensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x768x8>
tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12x3072>>, >
shape: #ttnn.shape<1x1x12x3072>
tensor<[1,1,12,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x12>
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x58>>, >
shape: #ttnn.shape<1x1x784x58>
tensor<[1,1,784,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x40>>, >
shape: #ttnn.shape<1x1x196x40>
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x320>>, >
shape: #ttnn.shape<1x1x64x320>
tensor<[1,1,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<300x320>>, >
shape: #ttnn.shape<1x1x300x320>
tensor<[1,1,300,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x320x15x20>
tensor<[1,320,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 15 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<300x512>>, >
shape: #ttnn.shape<1x1x300x512>
tensor<[1,1,300,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x1>>, >
shape: #ttnn.shape<1x512x15x20>
tensor<[1,512,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 15 + d2, d3), memory_config: (240, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1200x64>>, >
shape: #ttnn.shape<1x1x1200x64>
tensor<[1,1,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x2>>, >
shape: #ttnn.shape<1x64x30x40>
tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x320>>, >
shape: #ttnn.shape<1x1x4096x320>
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x320>>, >
shape: #ttnn.shape<1x1x4096x320>
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x320>>, >
shape: #ttnn.shape<1x1x1024x320>
tensor<[1,1,1024,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x320x32x32>
tensor<[1,320,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x4>>, >
shape: #ttnn.shape<1x1x4096x4>
tensor<[1,1,4096,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x4x64x64>
tensor<[1,4,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 64 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1280>>, >
shape: #ttnn.shape<1x1x49x1280>
tensor<[1,1,49,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x1280>>, >
shape: #ttnn.shape<1x1x64x1280>
tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x320>>, >
shape: #ttnn.shape<1x1x784x320>
tensor<[1,1,784,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x16>>, >
shape: #ttnn.shape<1x1x12544x16>
tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x232>>, >
shape: #ttnn.shape<1x1x12544x232>
tensor<[1,1,12544,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 232, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x232>>, >
shape: #ttnn.shape<1x1x3136x232>
tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x32>>, >
shape: #ttnn.shape<1x1x12544x32>
tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x336>>, >
shape: #ttnn.shape<1x1x12544x336>
tensor<[1,1,12544,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 336, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x336>>, >
shape: #ttnn.shape<1x1x3136x336>
tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x64>>, >
shape: #ttnn.shape<1x1x12544x64>
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x64>>, >
shape: #ttnn.shape<1x1x12544x64>
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x64>>, >
shape: #ttnn.shape<1x1x3136x64>
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14400x16>>, >
shape: #ttnn.shape<1x1x14400x16>
tensor<[1,1,14400,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14400x32>>, >
shape: #ttnn.shape<1x1x14400x32>
tensor<[1,1,14400,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<19200x2>>, >
shape: #ttnn.shape<1x1x19200x2>
tensor<[1,1,19200,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 2, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x5>>, >
shape: #ttnn.shape<1x2x120x160>
tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x32>>, >
shape: #ttnn.shape<1x1x16384x32>
tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x32>>, >
shape: #ttnn.shape<1x1x16384x32>
tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x32>>, >
shape: #ttnn.shape<1x1x256x32>
tensor<[1,1,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x32x16x16>
tensor<[1,32,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x64>>, >
shape: #ttnn.shape<1x1x4096x64>
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x64x64x64>
tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x64>>, >
shape: #ttnn.shape<1x1x16384x64>
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16900x16>>, >
shape: #ttnn.shape<1x1x16900x16>
tensor<[1,1,16900,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16900x32>>, >
shape: #ttnn.shape<1x1x16900x32>
tensor<[1,1,16900,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<21609x64>>, >
shape: #ttnn.shape<1x1x21609x64>
tensor<[1,1,21609,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<21609x32>>, >
shape: #ttnn.shape<1x1x21609x32>
tensor<[1,1,21609,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x64>>, >
shape: #ttnn.shape<1x1x196x64>
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22500x24>>, >
shape: #ttnn.shape<1x1x22500x24>
tensor<[1,1,22500,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22500x32>>, >
shape: #ttnn.shape<1x1x22500x32>
tensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22500x64>>, >
shape: #ttnn.shape<1x1x22500x64>
tensor<[1,1,22500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<36100x24>>, >
shape: #ttnn.shape<1x1x36100x24>
tensor<[1,1,36100,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<36100x32>>, >
shape: #ttnn.shape<1x1x36100x32>
tensor<[1,1,36100,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x120>>, >
shape: #ttnn.shape<1x1x1x120>
tensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x120x1x1>
tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<65536x1>>, >
shape: #ttnn.shape<1x1x65536x1>
tensor<[1,1,65536,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 1, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<65536x32>>, >
shape: #ttnn.shape<1x1x65536x32>
tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<65536x64>>, >
shape: #ttnn.shape<1x1x65536x64>
tensor<[1,1,65536,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x64>>, >
shape: #ttnn.shape<1x1x16384x64>
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x64>>, >
shape: #ttnn.shape<1x1x576x64>
tensor<[1,1,576,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x64x24x24>
tensor<[1,64,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x192>>, >
shape: #ttnn.shape<1x1x784x192>
tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x96>>, >
shape: #ttnn.shape<1x1x784x96>
tensor<[1,1,784,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1200x2>>, >
shape: #ttnn.shape<1x1x1200x2>
tensor<[1,1,1200,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 2, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x2x30x40>
tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<65536x64>>, >
shape: #ttnn.shape<1x1x65536x64>
tensor<[1,1,65536,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x32>>, >
shape: #ttnn.shape<1x1x3136x32>
tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x64>>, >
shape: #ttnn.shape<1x1x3136x64>
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4800x2>>, >
shape: #ttnn.shape<1x1x4800x2>
tensor<[1,1,4800,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 2, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x3>>, >
shape: #ttnn.shape<1x2x60x80>
tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x192>>, >
shape: #ttnn.shape<1x1x5625x192>
tensor<[1,1,5625,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9025x192>>, >
shape: #ttnn.shape<1x1x9025x192>
tensor<[1,1,9025,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x336>>, >
shape: #ttnn.shape<1x1x3136x336>
tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x336>>, >
shape: #ttnn.shape<1x1x196x336>
tensor<[1,1,196,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x112>>, >
shape: #ttnn.shape<1x1x576x112>
tensor<[1,1,576,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2304x336>>, >
shape: #ttnn.shape<1x1x2304x336>
tensor<[1,1,2304,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2304x56>>, >
shape: #ttnn.shape<1x1x2304x56>
tensor<[1,1,2304,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x336>>, >
shape: #ttnn.shape<1x1x576x336>
tensor<[1,1,576,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 336, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x336>>, >
shape: #ttnn.shape<1x1x3136x336>
tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x336>>, >
shape: #ttnn.shape<1x1x3136x336>
tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x672>>, >
shape: #ttnn.shape<1x1x3136x672>
tensor<[1,1,3136,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x672>>, >
shape: #ttnn.shape<1x1x784x672>
tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1392>>, >
shape: #ttnn.shape<1x1x1x1392>
tensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x1392x1x1>
tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x3712>>, >
shape: #ttnn.shape<1x1x1x3712>
tensor<[1,1,1,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3712, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<116x1>>, >
shape: #ttnn.shape<1x3712x1x1>
tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x20>>, >
shape: #ttnn.shape<1x1x784x20>
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<81x1280>>, >
shape: #ttnn.shape<1x1x81x1280>
tensor<[1,1,81,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x68>>, >
shape: #ttnn.shape<1x1x196x68>
tensor<[1,1,196,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x98>>, >
shape: #ttnn.shape<1x1x784x98>
tensor<[1,1,784,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 98, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x144>>, >
shape: #ttnn.shape<1x1x49x144>
tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x18>>, >
shape: #ttnn.shape<1x1x784x18>
tensor<[1,1,784,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x256>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x36>>, >
shape: #ttnn.shape<1x1x784x36>
tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x36>>, >
shape: #ttnn.shape<1x1x196x36>
tensor<[1,1,196,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x64>>, >
shape: #ttnn.shape<1x1x784x64>
tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x72>>, >
shape: #ttnn.shape<1x1x196x72>
tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x36>>, >
shape: #ttnn.shape<1x1x3136x36>
tensor<[1,1,3136,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x3712>>, >
shape: #ttnn.shape<1x1x49x3712>
tensor<[1,1,49,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x348>>, >
shape: #ttnn.shape<1x1x1x348>
tensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x348x1x1>
tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x3712>>, >
shape: #ttnn.shape<1x1x49x3712>
tensor<[1,1,49,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1280>>, >
shape: #ttnn.shape<1x1x100x1280>
tensor<[1,1,100,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x384>>, >
shape: #ttnn.shape<1x1x196x384>
tensor<[1,1,196,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x64>>, >
shape: #ttnn.shape<1x1x196x64>
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x96>>, >
shape: #ttnn.shape<1x1x196x96>
tensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1225x192>>, >
shape: #ttnn.shape<1x1x1225x192>
tensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x384>>, >
shape: #ttnn.shape<1x1x289x384>
tensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1225x64>>, >
shape: #ttnn.shape<1x1x1225x64>
tensor<[1,1,1225,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1225x96>>, >
shape: #ttnn.shape<1x1x1225x96>
tensor<[1,1,1225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x128>>, >
shape: #ttnn.shape<1x1x4096x128>
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x256>>, >
shape: #ttnn.shape<1x1x64x256>
tensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x256>>, >
shape: #ttnn.shape<1x1x64x256>
tensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x448>>, >
shape: #ttnn.shape<1x1x64x448>
tensor<[1,1,64,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 448, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<65536x192>>, >
shape: #ttnn.shape<1x1x65536x192>
tensor<[1,1,65536,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1536x8>>, >
shape: #ttnn.shape<1x192x256x256>
tensor<[1,192,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1024>>, >
shape: #ttnn.shape<1x1x196x1024>
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x1024x14x14>
tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x2>>, >
shape: #ttnn.shape<1x128x56x56>
tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x16>>, >
shape: #ttnn.shape<1x1x12544x16>
tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<50176x16>>, >
shape: #ttnn.shape<1x1x50176x16>
tensor<[1,1,50176,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x32>>, >
shape: #ttnn.shape<1x1x12544x32>
tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<50176x64>>, >
shape: #ttnn.shape<1x1x50176x64>
tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x7>>, >
shape: #ttnn.shape<1x64x224x224>
tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<50176x64>>, >
shape: #ttnn.shape<1x1x50176x64>
tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x64>>, >
shape: #ttnn.shape<1x1x12544x64>
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x64>>, >
shape: #ttnn.shape<1x1x12544x64>
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x768>>, >
shape: #ttnn.shape<1x1x196x768>
tensor<[1,1,196,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x768x14x14>
tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x768>>, >
shape: #ttnn.shape<1x1x49x768>
tensor<[1,1,49,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x32>>, >
shape: #ttnn.shape<1x1x12544x32>
tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14400x32>>, >
shape: #ttnn.shape<1x1x14400x32>
tensor<[1,1,14400,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<65536x32>>, >
shape: #ttnn.shape<1x1x65536x32>
tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16900x32>>, >
shape: #ttnn.shape<1x1x16900x32>
tensor<[1,1,16900,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22201x32>>, >
shape: #ttnn.shape<1x1x22201x32>
tensor<[1,1,22201,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 149 + d2, d3), memory_config: (22201, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22500x32>>, >
shape: #ttnn.shape<1x1x22500x32>
tensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22500x32>>, >
shape: #ttnn.shape<1x1x22500x32>
tensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25600x16>>, >
shape: #ttnn.shape<1x1x25600x16>
tensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x768>>, >
shape: #ttnn.shape<1x1x256x768>
tensor<[1,1,256,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<192x1>>, >
shape: #ttnn.shape<1x768x8x32>
tensor<[1,768,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<36100x32>>, >
shape: #ttnn.shape<1x1x36100x32>
tensor<[1,1,36100,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<192x768>>, >
shape: #ttnn.shape<1x1x192x768>
tensor<[1,1,192,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (192, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<288x1>>, >
shape: #ttnn.shape<1x768x12x16>
tensor<[1,768,12,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 12 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<19200x64>>, >
shape: #ttnn.shape<1x1x19200x64>
tensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x5>>, >
shape: #ttnn.shape<1x64x120x160>
tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x192>>, >
shape: #ttnn.shape<1x1x16384x192>
tensor<[1,1,16384,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x4>>, >
shape: #ttnn.shape<1x192x128x128>
tensor<[1,192,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<262144x32>>, >
shape: #ttnn.shape<1x1x262144x32>
tensor<[1,1,262144,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (262144, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<65536x32>>, >
shape: #ttnn.shape<1x1x65536x32>
tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x32>>, >
shape: #ttnn.shape<1x1x16384x32>
tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x4>>, >
shape: #ttnn.shape<1x32x128x128>
tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1344x192>>, >
shape: #ttnn.shape<1x1x1344x192>
tensor<[1,1,1344,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 42 + d2, d3), memory_config: (1344, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<192x2>>, >
shape: #ttnn.shape<1x192x32x42>
tensor<[1,192,32,42,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 32 + d2, d3), memory_config: (192, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1369x1280>>, >
shape: #ttnn.shape<1x1x1369x1280>
tensor<[1,1,1369,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1369 + d1 * 37 + d2, d3), memory_config: (1369, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1480x2>>, >
shape: #ttnn.shape<1x1280x37x37>
tensor<[1,1280,37,37,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47360 + d1 * 37 + d2, d3), memory_config: (1480, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<230400x64>>, >
shape: #ttnn.shape<1x1x230400x64>
tensor<[1,1,230400,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 640 + d2, d3), memory_config: (230400, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x120>>, >
shape: #ttnn.shape<1x1x196x120>
tensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x240>>, >
shape: #ttnn.shape<1x1x196x240>
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x40>>, >
shape: #ttnn.shape<1x1x196x40>
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x80>>, >
shape: #ttnn.shape<1x1x196x80>
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x120>>, >
shape: #ttnn.shape<1x1x784x120>
tensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x240>>, >
shape: #ttnn.shape<1x1x784x240>
tensor<[1,1,784,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x40>>, >
shape: #ttnn.shape<1x1x196x40>
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x60>>, >
shape: #ttnn.shape<1x1x784x60>
tensor<[1,1,784,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<900x240>>, >
shape: #ttnn.shape<1x1x900x240>
tensor<[1,1,900,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1600x120>>, >
shape: #ttnn.shape<1x1x1600x120>
tensor<[1,1,1600,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1600x240>>, >
shape: #ttnn.shape<1x1x1600x240>
tensor<[1,1,1600,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 240, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x14>>, >
shape: #ttnn.shape<1x1x3136x14>
tensor<[1,1,3136,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x116>>, >
shape: #ttnn.shape<1x1x196x116>
tensor<[1,1,196,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x1280>>, >
shape: #ttnn.shape<1x1x144x1280>
tensor<[1,1,144,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >
shape: #ttnn.shape<1x1x3136x256>
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x512>>, >
shape: #ttnn.shape<1x1x64x512>
tensor<[1,1,64,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x168>>, >
shape: #ttnn.shape<1x1x784x168>
tensor<[1,1,784,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 168, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x16>>, >
shape: #ttnn.shape<1x1x784x16>
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x24>>, >
shape: #ttnn.shape<1x1x100x24>
tensor<[1,1,100,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 24, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x24x10x10>
tensor<[1,24,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 10 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x256>>, >
shape: #ttnn.shape<1x1x100x256>
tensor<[1,1,100,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 256, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x480>>, >
shape: #ttnn.shape<1x1x100x480>
tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x480>>, >
shape: #ttnn.shape<1x1x100x480>
tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x546>>, >
shape: #ttnn.shape<1x1x100x546>
tensor<[1,1,100,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 546, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<171x1>>, >
shape: #ttnn.shape<1x546x10x10>
tensor<[1,546,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5460 + d1 * 10 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x80>>, >
shape: #ttnn.shape<1x1x100x80>
tensor<[1,1,100,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x112>>, >
shape: #ttnn.shape<1x1x196x112>
tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x16>>, >
shape: #ttnn.shape<1x1x196x16>
tensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x192>>, >
shape: #ttnn.shape<1x1x196x192>
tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x480>>, >
shape: #ttnn.shape<1x1x196x480>
tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x480>>, >
shape: #ttnn.shape<1x1x196x480>
tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x56>>, >
shape: #ttnn.shape<1x1x196x56>
tensor<[1,1,196,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x64>>, >
shape: #ttnn.shape<1x1x196x64>
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x80>>, >
shape: #ttnn.shape<1x1x196x80>
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x96>>, >
shape: #ttnn.shape<1x1x196x96>
tensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<225x112>>, >
shape: #ttnn.shape<1x1x225x112>
tensor<[1,1,225,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<225x480>>, >
shape: #ttnn.shape<1x1x225x480>
tensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<225x480>>, >
shape: #ttnn.shape<1x1x225x480>
tensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<225x80>>, >
shape: #ttnn.shape<1x1x225x80>
tensor<[1,1,225,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x120>>, >
shape: #ttnn.shape<1x1x1x120>
tensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x120x1x1>
tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x112>>, >
shape: #ttnn.shape<1x1x400x112>
tensor<[1,1,400,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x480>>, >
shape: #ttnn.shape<1x1x400x480>
tensor<[1,1,400,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x480>>, >
shape: #ttnn.shape<1x1x49x480>
tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x480>>, >
shape: #ttnn.shape<1x1x49x480>
tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x480>>, >
shape: #ttnn.shape<1x1x49x480>
tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x48>>, >
shape: #ttnn.shape<1x1x3136x48>
tensor<[1,1,3136,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 48, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1089x288>>, >
shape: #ttnn.shape<1x1x1089x288>
tensor<[1,1,1089,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x288>>, >
shape: #ttnn.shape<1x1x1444x288>
tensor<[1,1,1444,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x12>>, >
shape: #ttnn.shape<1x1x3136x12>
tensor<[1,1,3136,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x320>>, >
shape: #ttnn.shape<1x1x4096x320>
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1024>>, >
shape: #ttnn.shape<1x1x196x1024>
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x1024x7x7>
tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1024>>, >
shape: #ttnn.shape<1x1x196x1024>
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x112>>, >
shape: #ttnn.shape<1x1x196x112>
tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x144>>, >
shape: #ttnn.shape<1x1x196x144>
tensor<[1,1,196,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x160>>, >
shape: #ttnn.shape<1x1x196x160>
tensor<[1,1,196,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x192>>, >
shape: #ttnn.shape<1x1x196x192>
tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x24>>, >
shape: #ttnn.shape<1x1x196x24>
tensor<[1,1,196,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x32>>, >
shape: #ttnn.shape<1x1x196x32>
tensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x512>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x512>>, >
shape: #ttnn.shape<1x1x49x512>
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x512>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x512>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x512>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x512>>, >
shape: #ttnn.shape<1x1x49x512>
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x64>>, >
shape: #ttnn.shape<1x1x196x64>
tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<300x64>>, >
shape: #ttnn.shape<1x1x300x64>
tensor<[1,1,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x64x15x20>
tensor<[1,64,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1024>>, >
shape: #ttnn.shape<1x1x256x1024>
tensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x255>>, >
shape: #ttnn.shape<1x1x256x255>
tensor<[1,1,256,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x255x16x16>
tensor<[1,255,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x256>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x512>>, >
shape: #ttnn.shape<1x1x256x512>
tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x512>>, >
shape: #ttnn.shape<1x1x256x512>
tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1000>>, >
shape: #ttnn.shape<1x1x1x1000>
tensor<[1,1,1,1000,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1000, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x1000x1x1>
tensor<[1,1000,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1000 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<1x1x1x512>
tensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x512x1x1>
tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<920x2048>>, >
shape: #ttnn.shape<1x1x920x2048>
tensor<[1,1,920,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<920x512>>, >
shape: #ttnn.shape<1x1x920x512>
tensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x1024>>, >
shape: #ttnn.shape<1x1x784x1024>
tensor<[1,1,784,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1024>>, >
shape: #ttnn.shape<1x1x196x1024>
tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x19>>, >
shape: #ttnn.shape<1x1x784x19>
tensor<[1,1,784,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<17x1>>, >
shape: #ttnn.shape<1x19x28x28>
tensor<[1,19,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x256>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x38>>, >
shape: #ttnn.shape<1x1x784x38>
tensor<[1,1,784,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<34x1>>, >
shape: #ttnn.shape<1x38x28x28>
tensor<[1,38,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x512x28x28>
tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x512>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1024>>, >
shape: #ttnn.shape<1x1x256x1024>
tensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >
shape: #ttnn.shape<1x1x1024x128>
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x255>>, >
shape: #ttnn.shape<1x1x1024x255>
tensor<[1,1,1024,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<255x1>>, >
shape: #ttnn.shape<1x255x32x32>
tensor<[1,255,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x256>>, >
shape: #ttnn.shape<1x1x1024x256>
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x256>>, >
shape: #ttnn.shape<1x1x1024x256>
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<920x512>>, >
shape: #ttnn.shape<1x1x920x512>
tensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >
shape: #ttnn.shape<1x1x3136x256>
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25x128>>, >
shape: #ttnn.shape<1x1x25x128>
tensor<[1,1,25,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 128, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25x24>>, >
shape: #ttnn.shape<1x1x25x24>
tensor<[1,1,25,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 24, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x24x5x5>
tensor<[1,24,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 5 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25x512>>, >
shape: #ttnn.shape<1x1x25x512>
tensor<[1,1,25,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25x546>>, >
shape: #ttnn.shape<1x1x25x546>
tensor<[1,1,25,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 546, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<86x1>>, >
shape: #ttnn.shape<1x546x5x5>
tensor<[1,546,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2730 + d1 * 5 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4800x512>>, >
shape: #ttnn.shape<1x1x4800x512>
tensor<[1,1,4800,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x3>>, >
shape: #ttnn.shape<1x512x60x80>
tensor<[1,512,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 60 + d2, d3), memory_config: (960, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x2048>>, >
shape: #ttnn.shape<1x1x49x2048>
tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x512>>, >
shape: #ttnn.shape<1x1x49x512>
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x256>>, >
shape: #ttnn.shape<1x1x64x256>
tensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x256>>, >
shape: #ttnn.shape<1x1x64x256>
tensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x1024>>, >
shape: #ttnn.shape<1x1x3600x1024>
tensor<[1,1,3600,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14400x128>>, >
shape: #ttnn.shape<1x1x14400x128>
tensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14400x256>>, >
shape: #ttnn.shape<1x1x14400x256>
tensor<[1,1,14400,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x160>>, >
shape: #ttnn.shape<1x1x196x160>
tensor<[1,1,196,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x32>>, >
shape: #ttnn.shape<1x1x196x32>
tensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x120>>, >
shape: #ttnn.shape<1x1x289x120>
tensor<[1,1,289,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x528>>, >
shape: #ttnn.shape<1x1x289x528>
tensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x528>>, >
shape: #ttnn.shape<1x1x289x528>
tensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x88>>, >
shape: #ttnn.shape<1x1x289x88>
tensor<[1,1,289,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x196>>, >
shape: #ttnn.shape<1x1x196x196>
tensor<[1,1,196,196,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 196, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x24>>, >
shape: #ttnn.shape<1x1x3136x24>
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x56>>, >
shape: #ttnn.shape<1x1x196x56>
tensor<[1,1,196,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2304x336>>, >
shape: #ttnn.shape<1x1x2304x336>
tensor<[1,1,2304,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x576>>, >
shape: #ttnn.shape<1x1x196x576>
tensor<[1,1,196,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x576>>, >
shape: #ttnn.shape<1x1x49x576>
tensor<[1,1,49,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 576, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x96>>, >
shape: #ttnn.shape<1x1x196x96>
tensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x136>>, >
shape: #ttnn.shape<1x1x361x136>
tensor<[1,1,361,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x576>>, >
shape: #ttnn.shape<1x1x361x576>
tensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x576>>, >
shape: #ttnn.shape<1x1x361x576>
tensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x96>>, >
shape: #ttnn.shape<1x1x361x96>
tensor<[1,1,361,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x160>>, >
shape: #ttnn.shape<1x1x49x160>
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x232>>, >
shape: #ttnn.shape<1x1x1x232>
tensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x232x1x1>
tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x696>>, >
shape: #ttnn.shape<1x1x1x696>
tensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<22x1>>, >
shape: #ttnn.shape<1x696x1x1>
tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x20>>, >
shape: #ttnn.shape<1x1x784x20>
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x60>>, >
shape: #ttnn.shape<1x1x784x60>
tensor<[1,1,784,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x28>>, >
shape: #ttnn.shape<1x1x784x28>
tensor<[1,1,784,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1280>>, >
shape: #ttnn.shape<1x1x256x1280>
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1280>>, >
shape: #ttnn.shape<1x1x256x1280>
tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x640>>, >
shape: #ttnn.shape<1x1x256x640>
tensor<[1,1,256,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x640x16x16>
tensor<[1,640,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x320>>, >
shape: #ttnn.shape<1x1x4096x320>
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x320>>, >
shape: #ttnn.shape<1x1x4096x320>
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x640>>, >
shape: #ttnn.shape<1x1x4096x640>
tensor<[1,1,4096,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x2>>, >
shape: #ttnn.shape<1x640x64x64>
tensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x160>>, >
shape: #ttnn.shape<1x1x49x160>
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x128>>, >
shape: #ttnn.shape<1x1x12544x128>
tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x4>>, >
shape: #ttnn.shape<1x128x112x112>
tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x128>>, >
shape: #ttnn.shape<1x1x12544x128>
tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x64>>, >
shape: #ttnn.shape<1x1x12544x64>
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x64>>, >
shape: #ttnn.shape<1x1x3136x64>
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x64>>, >
shape: #ttnn.shape<1x1x12544x64>
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x64>>, >
shape: #ttnn.shape<1x1x3136x64>
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4800x128>>, >
shape: #ttnn.shape<1x1x4800x128>
tensor<[1,1,4800,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x3>>, >
shape: #ttnn.shape<1x128x60x80>
tensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<19200x32>>, >
shape: #ttnn.shape<1x1x19200x32>
tensor<[1,1,19200,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x5>>, >
shape: #ttnn.shape<1x32x120x160>
tensor<[1,32,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<300x64>>, >
shape: #ttnn.shape<1x1x300x64>
tensor<[1,1,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x64x15x20>
tensor<[1,64,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x128>>, >
shape: #ttnn.shape<1x1x16384x128>
tensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x128>>, >
shape: #ttnn.shape<1x1x4096x128>
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x32>>, >
shape: #ttnn.shape<1x1x16384x32>
tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x64>>, >
shape: #ttnn.shape<1x1x16384x64>
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x64>>, >
shape: #ttnn.shape<1x1x16384x64>
tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5329x96>>, >
shape: #ttnn.shape<1x1x5329x96>
tensor<[1,1,5329,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x384>>, >
shape: #ttnn.shape<1x1x196x384>
tensor<[1,1,196,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22500x128>>, >
shape: #ttnn.shape<1x1x22500x128>
tensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5625x128>>, >
shape: #ttnn.shape<1x1x5625x128>
tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<22500x64>>, >
shape: #ttnn.shape<1x1x22500x64>
tensor<[1,1,22500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6400x64>>, >
shape: #ttnn.shape<1x1x6400x64>
tensor<[1,1,6400,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 64, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<57600x256>>, >
shape: #ttnn.shape<1x1x57600x256>
tensor<[1,1,57600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<57600x64>>, >
shape: #ttnn.shape<1x1x57600x64>
tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<57600x64>>, >
shape: #ttnn.shape<1x1x57600x64>
tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x1x128>
tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<50176x1>>, >
shape: #ttnn.shape<1x1x50176x1>
tensor<[1,1,50176,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 1, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x7>>, >
shape: #ttnn.shape<1x1x224x224>
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<50176x64>>, >
shape: #ttnn.shape<1x1x50176x64>
tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x7>>, >
shape: #ttnn.shape<1x64x224x224>
tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<50176x64>>, >
shape: #ttnn.shape<1x1x50176x64>
tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x128>>, >
shape: #ttnn.shape<1x1x16384x128>
tensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<65536x32>>, >
shape: #ttnn.shape<1x1x65536x32>
tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<65536x32>>, >
shape: #ttnn.shape<1x1x65536x32>
tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x256>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x64>>, >
shape: #ttnn.shape<1x1x784x64>
tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x1x1x64>
tensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1200x32>>, >
shape: #ttnn.shape<1x1x1200x32>
tensor<[1,1,1200,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x2>>, >
shape: #ttnn.shape<1x32x30x40>
tensor<[1,32,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1225x96>>, >
shape: #ttnn.shape<1x1x1225x96>
tensor<[1,1,1225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<307200x1>>, >
shape: #ttnn.shape<1x1x307200x1>
tensor<[1,1,307200,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 1, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x20>>, >
shape: #ttnn.shape<1x1x480x640>
tensor<[1,1,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<307200x64>>, >
shape: #ttnn.shape<1x1x307200x64>
tensor<[1,1,307200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x20>>, >
shape: #ttnn.shape<1x64x480x640>
tensor<[1,64,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x14>>, >
shape: #ttnn.shape<1x1x3136x14>
tensor<[1,1,3136,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x192>>, >
shape: #ttnn.shape<1x1x3136x192>
tensor<[1,1,3136,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x24>>, >
shape: #ttnn.shape<1x1x3136x24>
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >
shape: #ttnn.shape<1x1x3136x256>
tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x64>>, >
shape: #ttnn.shape<1x1x3136x64>
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x64>>, >
shape: #ttnn.shape<1x1x3136x64>
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4800x32>>, >
shape: #ttnn.shape<1x1x4800x32>
tensor<[1,1,4800,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x3>>, >
shape: #ttnn.shape<1x32x60x80>
tensor<[1,32,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x128>>, >
shape: #ttnn.shape<1x1x4096x128>
tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x160>>, >
shape: #ttnn.shape<1x1x1024x160>
tensor<[1,1,1024,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<160x1>>, >
shape: #ttnn.shape<1x160x32x32>
tensor<[1,160,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 32 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x64>>, >
shape: #ttnn.shape<1x1x4096x64>
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x64>>, >
shape: #ttnn.shape<1x1x4096x64>
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x64>>, >
shape: #ttnn.shape<1x1x256x64>
tensor<[1,1,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x64x16x16>
tensor<[1,64,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 16 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5329x64>>, >
shape: #ttnn.shape<1x1x5329x64>
tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5329x64>>, >
shape: #ttnn.shape<1x1x5329x64>
tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5041x96>>, >
shape: #ttnn.shape<1x1x5041x96>
tensor<[1,1,5041,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (5041, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6400x24>>, >
shape: #ttnn.shape<1x1x6400x24>
tensor<[1,1,6400,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x640>>, >
shape: #ttnn.shape<1x1x196x640>
tensor<[1,1,196,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x80>>, >
shape: #ttnn.shape<1x1x100x80>
tensor<[1,1,100,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x112>>, >
shape: #ttnn.shape<1x1x196x112>
tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x56>>, >
shape: #ttnn.shape<1x1x196x56>
tensor<[1,1,196,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x672>>, >
shape: #ttnn.shape<1x1x196x672>
tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x672>>, >
shape: #ttnn.shape<1x1x196x672>
tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x672>>, >
shape: #ttnn.shape<1x1x49x672>
tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<225x112>>, >
shape: #ttnn.shape<1x1x225x112>
tensor<[1,1,225,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<225x672>>, >
shape: #ttnn.shape<1x1x225x672>
tensor<[1,1,225,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x672>>, >
shape: #ttnn.shape<1x1x49x672>
tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x672>>, >
shape: #ttnn.shape<1x1x64x672>
tensor<[1,1,64,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x168>>, >
shape: #ttnn.shape<1x1x1x168>
tensor<[1,1,1,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 168, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x168x1x1>
tensor<[1,168,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x112>>, >
shape: #ttnn.shape<1x1x400x112>
tensor<[1,1,400,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x24>>, >
shape: #ttnn.shape<1x1x400x24>
tensor<[1,1,400,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 24, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x1>>, >
shape: #ttnn.shape<1x24x20x20>
tensor<[1,24,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 20 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x546>>, >
shape: #ttnn.shape<1x1x400x546>
tensor<[1,1,400,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 546, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<342x1>>, >
shape: #ttnn.shape<1x546x20x20>
tensor<[1,546,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10920 + d1 * 20 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x672>>, >
shape: #ttnn.shape<1x1x400x672>
tensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x672>>, >
shape: #ttnn.shape<1x1x100x672>
tensor<[1,1,100,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 672, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x112>>, >
shape: #ttnn.shape<1x1x576x112>
tensor<[1,1,576,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x160>>, >
shape: #ttnn.shape<1x1x576x160>
tensor<[1,1,576,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x672>>, >
shape: #ttnn.shape<1x1x576x672>
tensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x672>>, >
shape: #ttnn.shape<1x1x576x672>
tensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x1344>>, >
shape: #ttnn.shape<1x1x784x1344>
tensor<[1,1,784,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1344, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1344>>, >
shape: #ttnn.shape<1x1x196x1344>
tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x672>>, >
shape: #ttnn.shape<1x1x784x672>
tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x672>>, >
shape: #ttnn.shape<1x1x784x672>
tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x672>>, >
shape: #ttnn.shape<1x1x784x672>
tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x160>>, >
shape: #ttnn.shape<1x1x49x160>
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x192>>, >
shape: #ttnn.shape<1x1x49x192>
tensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x672>>, >
shape: #ttnn.shape<1x1x49x672>
tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x672>>, >
shape: #ttnn.shape<1x1x49x672>
tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x80>>, >
shape: #ttnn.shape<1x1x49x80>
tensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x192>>, >
shape: #ttnn.shape<1x1x64x192>
tensor<[1,1,64,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x40>>, >
shape: #ttnn.shape<1x1x196x40>
tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x174>>, >
shape: #ttnn.shape<1x1x1x174>
tensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x174x1x1>
tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x58>>, >
shape: #ttnn.shape<1x1x1x58>
tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x58x1x1>
tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x1392>>, >
shape: #ttnn.shape<1x1x784x1392>
tensor<[1,1,784,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1392, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1392>>, >
shape: #ttnn.shape<1x1x196x1392>
tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x696>>, >
shape: #ttnn.shape<1x1x784x696>
tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x696>>, >
shape: #ttnn.shape<1x1x784x696>
tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x696>>, >
shape: #ttnn.shape<1x1x784x696>
tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x120>>, >
shape: #ttnn.shape<1x1x289x120>
tensor<[1,1,289,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x720>>, >
shape: #ttnn.shape<1x1x289x720>
tensor<[1,1,289,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<81x720>>, >
shape: #ttnn.shape<1x1x81x720>
tensor<[1,1,81,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 720, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<81x208>>, >
shape: #ttnn.shape<1x1x81x208>
tensor<[1,1,81,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x1024>>, >
shape: #ttnn.shape<1x1x361x1024>
tensor<[1,1,361,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x1024>>, >
shape: #ttnn.shape<1x1x100x1024>
tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x728>>, >
shape: #ttnn.shape<1x1x361x728>
tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x728>>, >
shape: #ttnn.shape<1x1x361x728>
tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x728>>, >
shape: #ttnn.shape<1x1x1444x728>
tensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x728>>, >
shape: #ttnn.shape<1x1x361x728>
tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1444x728>>, >
shape: #ttnn.shape<1x1x1444x728>
tensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x728>>, >
shape: #ttnn.shape<1x1x361x728>
tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x144>>, >
shape: #ttnn.shape<1x1x49x144>
tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x18>>, >
shape: #ttnn.shape<1x1x196x18>
tensor<[1,1,196,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x36>>, >
shape: #ttnn.shape<1x1x196x36>
tensor<[1,1,196,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x512>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x72>>, >
shape: #ttnn.shape<1x1x196x72>
tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x20>>, >
shape: #ttnn.shape<1x1x1x20>
tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 20, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20x1x1>
tensor<[1,20,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x1x24>
tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24x1x1>
tensor<[1,24,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x20>>, >
shape: #ttnn.shape<1x1x784x20>
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x40>>, >
shape: #ttnn.shape<1x1x784x40>
tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x72>>, >
shape: #ttnn.shape<1x1x784x72>
tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x72>>, >
shape: #ttnn.shape<1x1x784x72>
tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1600x40>>, >
shape: #ttnn.shape<1x1x1600x40>
tensor<[1,1,1600,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x12>>, >
shape: #ttnn.shape<1x1x3136x12>
tensor<[1,1,3136,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x24>>, >
shape: #ttnn.shape<1x1x3136x24>
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x72>>, >
shape: #ttnn.shape<1x1x3136x72>
tensor<[1,1,3136,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x72>>, >
shape: #ttnn.shape<1x1x784x72>
tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6400x24>>, >
shape: #ttnn.shape<1x1x6400x24>
tensor<[1,1,6400,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6400x72>>, >
shape: #ttnn.shape<1x1x6400x72>
tensor<[1,1,6400,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1600x72>>, >
shape: #ttnn.shape<1x1x1600x72>
tensor<[1,1,1600,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 72, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x512>>, >
shape: #ttnn.shape<1x1x784x512>
tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x334>>, >
shape: #ttnn.shape<1x1x196x334>
tensor<[1,1,196,334,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 334, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x768>>, >
shape: #ttnn.shape<1x1x1x768>
tensor<[1,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x768x1x1>
tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<257x27>>, >
shape: #ttnn.shape<1x1x257x27>
tensor<[1,1,257,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 27, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<257x768>>, >
shape: #ttnn.shape<1x1x257x768>
tensor<[1,1,257,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1500x768>>, >
shape: #ttnn.shape<1x1x1500x768>
tensor<[1,1,1500,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 + d2, d3), memory_config: (1500, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x47>>, >
shape: #ttnn.shape<1x768x1500>
tensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x256>>, >
shape: #ttnn.shape<1x1x1024x256>
tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x224>>, >
shape: #ttnn.shape<1x1x49x224>
tensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x3072>>, >
shape: #ttnn.shape<1x1x8x3072>
tensor<[1,1,8,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 3072, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x768>>, >
shape: #ttnn.shape<1x1x8x768>
tensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x768x8>
tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x768>>, >
shape: #ttnn.shape<1x1x8x768>
tensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x768x8>
tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x1024>>, >
shape: #ttnn.shape<1x1x49x1024>
tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x16>>, >
shape: #ttnn.shape<1x1x784x16>
tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x34>>, >
shape: #ttnn.shape<1x1x784x34>
tensor<[1,1,784,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x24>>, >
shape: #ttnn.shape<1x1x3136x24>
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x272>>, >
shape: #ttnn.shape<1x1x49x272>
tensor<[1,1,49,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 272, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x480>>, >
shape: #ttnn.shape<1x1x100x480>
tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x100>>, >
shape: #ttnn.shape<1x1x196x100>
tensor<[1,1,196,100,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 100, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x112>>, >
shape: #ttnn.shape<1x1x196x112>
tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x184>>, >
shape: #ttnn.shape<1x1x196x184>
tensor<[1,1,196,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x200>>, >
shape: #ttnn.shape<1x1x196x200>
tensor<[1,1,196,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x240>>, >
shape: #ttnn.shape<1x1x196x240>
tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x480>>, >
shape: #ttnn.shape<1x1x196x480>
tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x80>>, >
shape: #ttnn.shape<1x1x196x80>
tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x92>>, >
shape: #ttnn.shape<1x1x196x92>
tensor<[1,1,196,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<225x480>>, >
shape: #ttnn.shape<1x1x225x480>
tensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x184>>, >
shape: #ttnn.shape<1x1x400x184>
tensor<[1,1,400,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x200>>, >
shape: #ttnn.shape<1x1x400x200>
tensor<[1,1,400,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<400x480>>, >
shape: #ttnn.shape<1x1x400x480>
tensor<[1,1,400,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3000x768>>, >
shape: #ttnn.shape<1x1x3000x768>
tensor<[1,1,3000,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (3000, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x94>>, >
shape: #ttnn.shape<1x768x3000>
tensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x184>>, >
shape: #ttnn.shape<1x1x49x184>
tensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x200>>, >
shape: #ttnn.shape<1x1x49x200>
tensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x480>>, >
shape: #ttnn.shape<1x1x49x480>
tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x80>>, >
shape: #ttnn.shape<1x1x49x80>
tensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x232>>, >
shape: #ttnn.shape<1x1x100x232>
tensor<[1,1,100,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x136>>, >
shape: #ttnn.shape<1x1x361x136>
tensor<[1,1,361,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x816>>, >
shape: #ttnn.shape<1x1x361x816>
tensor<[1,1,361,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x816>>, >
shape: #ttnn.shape<1x1x100x816>
tensor<[1,1,100,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 816, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x160>>, >
shape: #ttnn.shape<1x1x49x160>
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x192>>, >
shape: #ttnn.shape<1x1x49x192>
tensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x256>>, >
shape: #ttnn.shape<1x1x49x256>
tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x32>>, >
shape: #ttnn.shape<1x1x49x32>
tensor<[1,1,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x384>>, >
shape: #ttnn.shape<1x1x49x384>
tensor<[1,1,49,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x48>>, >
shape: #ttnn.shape<1x1x49x48>
tensor<[1,1,49,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 48, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<289x528>>, >
shape: #ttnn.shape<1x1x289x528>
tensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x1x196x256>
tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x8>>, >
shape: #ttnn.shape<1x1x12544x8>
tensor<[1,1,12544,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x232>>, >
shape: #ttnn.shape<1x1x1x232>
tensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x232x1x1>
tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x92>>, >
shape: #ttnn.shape<1x1x196x92>
tensor<[1,1,196,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x28>>, >
shape: #ttnn.shape<1x1x784x28>
tensor<[1,1,784,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x272>>, >
shape: #ttnn.shape<1x1x144x272>
tensor<[1,1,144,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1280>>, >
shape: #ttnn.shape<1x1x1x1280>
tensor<[1,1,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x1280x1x1>
tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x240>>, >
shape: #ttnn.shape<1x1x1x240>
tensor<[1,1,1,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 240, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x240x1x1>
tensor<[1,240,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x160>>, >
shape: #ttnn.shape<1x1x576x160>
tensor<[1,1,576,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<576x960>>, >
shape: #ttnn.shape<1x1x576x960>
tensor<[1,1,576,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x960>>, >
shape: #ttnn.shape<1x1x144x960>
tensor<[1,1,144,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 960, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x640>>, >
shape: #ttnn.shape<1x1x1024x640>
tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x960>>, >
shape: #ttnn.shape<1x1x9x960>
tensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x960>>, >
shape: #ttnn.shape<1x1x9x960>
tensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x320>>, >
shape: #ttnn.shape<1x1x4096x320>
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x320>>, >
shape: #ttnn.shape<1x1x4096x320>
tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x160>>, >
shape: #ttnn.shape<1x1x49x160>
tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x320>>, >
shape: #ttnn.shape<1x1x49x320>
tensor<[1,1,49,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x80>>, >
shape: #ttnn.shape<1x1x49x80>
tensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x960>>, >
shape: #ttnn.shape<1x1x49x960>
tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x960>>, >
shape: #ttnn.shape<1x1x49x960>
tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x96>>, >
shape: #ttnn.shape<1x1x3136x96>
tensor<[1,1,3136,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x96>>, >
shape: #ttnn.shape<1x1x3136x96>
tensor<[1,1,3136,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x96>>, >
shape: #ttnn.shape<1x1x3600x96>
tensor<[1,1,3600,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4225x96>>, >
shape: #ttnn.shape<1x1x4225x96>
tensor<[1,1,4225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x208>>, >
shape: #ttnn.shape<1x1x196x208>
tensor<[1,1,196,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 208, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x576>>, >
shape: #ttnn.shape<1x1x196x576>
tensor<[1,1,196,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<361x576>>, >
shape: #ttnn.shape<1x1x361x576>
tensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1225x96>>, >
shape: #ttnn.shape<1x1x1225x96>
tensor<[1,1,1225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x24>>, >
shape: #ttnn.shape<1x1x3136x24>
tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3600x24>>, >
shape: #ttnn.shape<1x1x3600x24>
tensor<[1,1,3600,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4225x24>>, >
shape: #ttnn.shape<1x1x4225x24>
tensor<[1,1,4225,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x20>>, >
shape: #ttnn.shape<1x1x784x20>
tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x128>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x128>>, >
shape: #ttnn.shape<1x1x49x128>
tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x13x128>
tensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x128>
tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x32x128>
tensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x1>
tensor<[1,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10x1x1>
tensor<[1,10,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10x1x1>
tensor<[1,10,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11x1x1>
tensor<[1,11,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1x1>
tensor<[1,12,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13x1x1>
tensor<[1,13,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14x1x1>
tensor<[1,14,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15x1x1>
tensor<[1,15,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x1>
tensor<[1,16,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x17x1x1>
tensor<[1,17,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x18x1x1>
tensor<[1,18,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x19x1x1>
tensor<[1,19,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20x1x1>
tensor<[1,20,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x21x1x1>
tensor<[1,21,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x22x1x1>
tensor<[1,22,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x23x1x1>
tensor<[1,23,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24x1x1>
tensor<[1,24,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25x1x1>
tensor<[1,25,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x26x1x1>
tensor<[1,26,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27x1x1>
tensor<[1,27,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x28x1x1>
tensor<[1,28,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x29x1x1>
tensor<[1,29,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 29 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x5x1x1>
tensor<[1,5,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1x1>
tensor<[1,6,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7x1x1>
tensor<[1,7,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x1>
tensor<[1,8,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9x1x1>
tensor<[1,9,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<45x1x1x1>
tensor<[45,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5x1x1x1>
tensor<[5,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<74x7>>, >
shape: #ttnn.shape<1x12x197x197>
tensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<76x7>>, >
shape: #ttnn.shape<1x12x201x201>
tensor<[1,12,201,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x12x8x8>
tensor<[1,12,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<99x7>>, >
shape: #ttnn.shape<1x16x197x197>
tensor<[1,16,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x10>
tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x11>
tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x12>
tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x13>
tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x14>
tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x15>
tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x16>
tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x17>
tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x18>
tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x19>
tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x20>
tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x21>
tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x22>
tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x23>
tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x24>
tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x6>
tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x7>
tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x8>
tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1x9>
tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x16x5x5>
tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x1x16384x256>
tensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x10>>, >
shape: #ttnn.shape<1x1x19200x300>
tensor<[1,1,19200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<1x256x1280>
tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x8>>, >
shape: #ttnn.shape<1x2x4096x256>
tensor<[1,2,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x10>>, >
shape: #ttnn.shape<1x2x4800x300>
tensor<[1,2,4800,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<1x4096x320>
tensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1571>>, >
shape: #ttnn.shape<1x50257>
tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x512>
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<160x8>>, >
shape: #ttnn.shape<1x5x1024x256>
tensor<[1,5,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<188x10>>, >
shape: #ttnn.shape<1x5x1200x300>
tensor<[1,5,1200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<1x64x1280>
tensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x8x2048x256>
tensor<[1,8,2048,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x64>>, >
shape: #ttnn.shape<1x8x256x2048>
tensor<[1,8,256,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x8>>, >
shape: #ttnn.shape<1x8x256x256>
tensor<[1,8,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<75x10>>, >
shape: #ttnn.shape<1x8x300x300>
tensor<[1,8,300,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x512>
tensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x10>>, >
shape: #ttnn.shape<3x320x320>
tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1x1536>
tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x12x1536>
tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x112>>, >
shape: #ttnn.shape<1x13x3584>
tensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<2x1x128>
tensor<[2,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x6x1024>
tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x32x1536>
tensor<[1,32,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<1x2048x768>
tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<1x256x1024>
tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x14x128>
tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x193x768>
tensor<[1,193,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 193 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x8x768>
tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x14x128>
tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<1x256x1024>
tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x16x768>
tensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x25x768>
tensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x8x768>
tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x8x768>
tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x32x4096>
tensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x10x1024>
tensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x512>
tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x10x512>
tensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x15x512>
tensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<2x13x768>
tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x7x512>
tensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x45x768>
tensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x7x768>
tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x512>
tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x6x512>
tensor<[1,6,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x10x1536>
tensor<[1,10,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x11x1536>
tensor<[1,11,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x12x1536>
tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x13x1536>
tensor<[1,13,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x14x1536>
tensor<[1,14,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x15x1536>
tensor<[1,15,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x6x1536>
tensor<[1,6,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x7x1536>
tensor<[1,7,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x8x1536>
tensor<[1,8,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x9x1536>
tensor<[1,9,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x5x1024>
tensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x142>>, >
shape: #ttnn.shape<1x7x4544>
tensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11>
tensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13>
tensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14>
tensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15>
tensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16>
tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x17>
tensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x18>
tensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x19>
tensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20>
tensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x21>
tensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x22>
tensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x23>
tensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24>
tensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25>
tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x26>
tensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27>
tensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x28>
tensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x29>
tensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6>
tensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7>
tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8>
tensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9>
tensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x12>
tensor<[12,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<13x13>
tensor<[13,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<32x32>
tensor<[32,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5x5>
tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x6>
tensor<[6,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11>
tensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13>
tensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14>
tensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15>
tensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16>
tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x17>
tensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x18>
tensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x19>
tensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x12x12>
tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x13x13>
tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x10>
tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x11>
tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x12>
tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x13>
tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x14>
tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x15>
tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x16>
tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x17>
tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x18>
tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x19>
tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x20>
tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x21>
tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x22>
tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x23>
tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x24>
tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x25>
tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x26>
tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x27>
tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x28>
tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x29>
tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x46>
tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x47>
tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x48>
tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x49>
tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x50>
tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x51>
tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x52>
tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x53>
tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x54>
tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x55>
tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x56>
tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x57>
tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x58>
tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x59>
tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x60>
tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x61>
tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x62>
tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x63>
tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x64>
tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x65>
tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x66>
tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x67>
tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x68>
tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x69>
tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x6>
tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x70>
tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x71>
tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x72>
tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x73>
tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x74>
tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x75>
tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x76>
tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x77>
tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x78>
tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x79>
tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x7>
tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x80>
tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x81>
tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x82>
tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x83>
tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x84>
tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x85>
tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x86>
tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x87>
tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x88>
tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x89>
tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x8>
tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x90>
tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x91>
tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x92>
tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x93>
tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x94>
tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x95>
tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x96>
tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x1x97>
tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x1x98>
tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x1x99>
tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x9>
tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x32x32>
tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x1x45x45>
tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x5x5>
tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x7x7>
tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20>
tensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x21>
tensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x22>
tensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x23>
tensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24>
tensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25>
tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x26>
tensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27>
tensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x28>
tensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x29>
tensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x5>
tensor<[1,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6>
tensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7>
tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7>
tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8>
tensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9>
tensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x2>>, >
shape: #ttnn.shape<4x49x49>
tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x2>>, >
shape: #ttnn.shape<64x49x49>
tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1>
tensor<[8,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x2>
tensor<[8,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x3072x10x16>
tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1056x1>>, >
shape: #ttnn.shape<1x3072x11x16>
tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1152x1>>, >
shape: #ttnn.shape<1x3072x12x16>
tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1248x1>>, >
shape: #ttnn.shape<1x3072x13x16>
tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1344x1>>, >
shape: #ttnn.shape<1x3072x14x16>
tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x1>>, >
shape: #ttnn.shape<1x3072x15x16>
tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<576x1>>, >
shape: #ttnn.shape<1x3072x6x16>
tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<672x1>>, >
shape: #ttnn.shape<1x3072x7x16>
tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x1>>, >
shape: #ttnn.shape<1x3072x8x16>
tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<864x1>>, >
shape: #ttnn.shape<1x3072x9x16>
tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<3072x16>
tensor<[3072,16,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x10x10>
tensor<[1,1,10,10,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x12x12>
tensor<[1,1,12,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x14x14>
tensor<[1,1,14,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x16x16>
tensor<[1,1,16,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x16x2>
tensor<[1,1,1,16,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x25x25>
tensor<[1,1,25,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x6x6>
tensor<[1,1,6,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x7x7>
tensor<[1,1,7,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x9x9>
tensor<[1,1,9,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<142x1>>, >
shape: #ttnn.shape<1x71x64x7>
tensor<[1,71,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4544 + d1 * 64 + d2, d3), memory_config: (142, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x2>>, >
shape: #ttnn.shape<1x71x7x64>
tensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x4>>, >
shape: #ttnn.shape<1x2x6x12x128>
tensor<[1,2,6,12,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 144 + d1 * 72 + d2 * 12 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x4>>, >
shape: #ttnn.shape<1x2x6x13x128>
tensor<[1,2,6,13,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 156 + d1 * 78 + d2 * 13 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x4>>, >
shape: #ttnn.shape<1x2x6x14x128>
tensor<[1,2,6,14,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 168 + d1 * 84 + d2 * 14 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x4>>, >
shape: #ttnn.shape<1x2x6x15x128>
tensor<[1,2,6,15,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 180 + d1 * 90 + d2 * 15 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x4>>, >
shape: #ttnn.shape<1x2x6x16x128>
tensor<[1,2,6,16,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 192 + d1 * 96 + d2 * 16 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x4>>, >
shape: #ttnn.shape<1x2x6x17x128>
tensor<[1,2,6,17,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 204 + d1 * 102 + d2 * 17 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x4>>, >
shape: #ttnn.shape<1x2x6x18x128>
tensor<[1,2,6,18,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 216 + d1 * 108 + d2 * 18 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x4>>, >
shape: #ttnn.shape<1x2x6x19x128>
tensor<[1,2,6,19,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 228 + d1 * 114 + d2 * 19 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x4>>, >
shape: #ttnn.shape<1x2x6x20x128>
tensor<[1,2,6,20,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 240 + d1 * 120 + d2 * 20 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x4>>, >
shape: #ttnn.shape<1x2x6x21x128>
tensor<[1,2,6,21,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 252 + d1 * 126 + d2 * 21 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x4>>, >
shape: #ttnn.shape<1x2x6x22x128>
tensor<[1,2,6,22,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 264 + d1 * 132 + d2 * 22 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x4>>, >
shape: #ttnn.shape<1x2x6x23x128>
tensor<[1,2,6,23,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 276 + d1 * 138 + d2 * 23 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x4>>, >
shape: #ttnn.shape<1x2x6x24x128>
tensor<[1,2,6,24,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 288 + d1 * 144 + d2 * 24 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x4>>, >
shape: #ttnn.shape<1x2x6x25x128>
tensor<[1,2,6,25,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 300 + d1 * 150 + d2 * 25 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x4>>, >
shape: #ttnn.shape<1x2x6x26x128>
tensor<[1,2,6,26,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 312 + d1 * 156 + d2 * 26 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x4>>, >
shape: #ttnn.shape<1x2x6x27x128>
tensor<[1,2,6,27,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 324 + d1 * 162 + d2 * 27 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x4>>, >
shape: #ttnn.shape<1x2x6x28x128>
tensor<[1,2,6,28,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 336 + d1 * 168 + d2 * 28 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x4>>, >
shape: #ttnn.shape<1x2x6x29x128>
tensor<[1,2,6,29,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 348 + d1 * 174 + d2 * 29 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x4>>, >
shape: #ttnn.shape<1x4x7x13x128>
tensor<[1,4,7,13,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 364 + d1 * 91 + d2 * 13 + d3, d4), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x5x1x16x2>
tensor<[1,5,1,16,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 80 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x4>>, >
shape: #ttnn.shape<1x8x3x32x128>
tensor<[1,8,3,32,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 96 + d2 * 32 + d3, d4), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x1x7x7>
tensor<[2,1,7,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<13x13>
tensor<[13,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11>
tensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13>
tensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14>
tensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15>
tensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16>
tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x17>
tensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x18>
tensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x19>
tensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20>
tensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x21>
tensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x22>
tensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x23>
tensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24>
tensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25>
tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x26>
tensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27>
tensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x28>
tensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x29>
tensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6>
tensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7>
tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8>
tensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9>
tensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<32x32>
tensor<[32,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5x5>
tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x6>
tensor<[6,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x96>>, >
shape: #ttnn.shape<1x1024x3072>
tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x16>>, >
shape: #ttnn.shape<1x1024x512>
tensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x16>>, >
shape: #ttnn.shape<1x1024x512>
tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x192>>, >
shape: #ttnn.shape<1x1024x6144>
tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1x1024x640>
tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1x1024x640>
tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x10x3072>
tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x10x3072>
tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x40>>, >
shape: #ttnn.shape<1x1200x1280>
tensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x40>>, >
shape: #ttnn.shape<1x1200x1280>
tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x160>>, >
shape: #ttnn.shape<1x1370x5120>
tensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x160>>, >
shape: #ttnn.shape<1x1370x5120>
tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x24>>, >
shape: #ttnn.shape<1x1445x768>
tensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x24>>, >
shape: #ttnn.shape<1x1445x768>
tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x64>>, >
shape: #ttnn.shape<1x14x14x2048>
tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x64>>, >
shape: #ttnn.shape<1x14x14x2048>
tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x96>>, >
shape: #ttnn.shape<1x1500x3072>
tensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x96>>, >
shape: #ttnn.shape<1x1500x3072>
tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<1x16384x128>
tensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<1x16384x128>
tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x48>>, >
shape: #ttnn.shape<1x16384x1536>
tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x24>>, >
shape: #ttnn.shape<1x16384x768>
tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x16x3072>
tensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x16x3072>
tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x8>>, >
shape: #ttnn.shape<1x19200x256>
tensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x8>>, >
shape: #ttnn.shape<1x19200x256>
tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<1x196x3072>
tensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<1x196x3072>
tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<1x197x3072>
tensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<1x197x3072>
tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x128>>, >
shape: #ttnn.shape<1x197x4096>
tensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x128>>, >
shape: #ttnn.shape<1x197x4096>
tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<1x201x3072>
tensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<1x201x3072>
tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<1x2048x768>
tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<1x2048x768>
tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<1x256x1024>
tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<1x256x1024>
tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<1x256x1280>
tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<1x256x1280>
tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x256x256>
tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x256x256>
tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x128>>, >
shape: #ttnn.shape<1x256x4096>
tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x128>>, >
shape: #ttnn.shape<1x256x4096>
tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x160>>, >
shape: #ttnn.shape<1x256x5120>
tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x160>>, >
shape: #ttnn.shape<1x256x5120>
tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x192>>, >
shape: #ttnn.shape<1x256x6144>
tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x96>>, >
shape: #ttnn.shape<1x257x3072>
tensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x96>>, >
shape: #ttnn.shape<1x257x3072>
tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x25x3072>
tensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x25x3072>
tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x32>>, >
shape: #ttnn.shape<1x28x28x1024>
tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x32>>, >
shape: #ttnn.shape<1x28x28x1024>
tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x64>>, >
shape: #ttnn.shape<1x300x2048>
tensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x64>>, >
shape: #ttnn.shape<1x300x2048>
tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x40>>, >
shape: #ttnn.shape<1x4096x1280>
tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x40>>, >
shape: #ttnn.shape<1x4096x1280>
tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x48>>, >
shape: #ttnn.shape<1x4096x1536>
tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x8>>, >
shape: #ttnn.shape<1x4096x256>
tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x8>>, >
shape: #ttnn.shape<1x4096x256>
tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x96>>, >
shape: #ttnn.shape<1x4096x3072>
tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x16>>, >
shape: #ttnn.shape<1x4800x512>
tensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x16>>, >
shape: #ttnn.shape<1x4800x512>
tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x16>>, >
shape: #ttnn.shape<1x56x56x512>
tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x16>>, >
shape: #ttnn.shape<1x56x56x512>
tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x160>>, >
shape: #ttnn.shape<1x64x5120>
tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x160>>, >
shape: #ttnn.shape<1x64x5120>
tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x24>>, >
shape: #ttnn.shape<1x65536x768>
tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x47>>, >
shape: #ttnn.shape<1x768x1500>
tensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x47>>, >
shape: #ttnn.shape<1x768x1500>
tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x94>>, >
shape: #ttnn.shape<1x768x3000>
tensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x94>>, >
shape: #ttnn.shape<1x768x3000>
tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x12>>, >
shape: #ttnn.shape<1x768x384>
tensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x12>>, >
shape: #ttnn.shape<1x768x384>
tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x568>>, >
shape: #ttnn.shape<1x7x18176>
tensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x568>>, >
shape: #ttnn.shape<1x7x18176>
tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x128>>, >
shape: #ttnn.shape<1x7x7x4096>
tensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x128>>, >
shape: #ttnn.shape<1x7x7x4096>
tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<4x1x4096>
tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11>
tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11>
tensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x12>
tensor<[12,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x12>
tensor<[12,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<13x13>
tensor<[13,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<13x13>
tensor<[13,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13>
tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13>
tensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14>
tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14>
tensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15>
tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15>
tensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16>
tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16>
tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x17>
tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x17>
tensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x18>
tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x18>
tensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x19>
tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x19>
tensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20>
tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20>
tensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x21>
tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x21>
tensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x22>
tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x22>
tensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x23>
tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x23>
tensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24>
tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24>
tensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25>
tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25>
tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x26>
tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x26>
tensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27>
tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27>
tensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x28>
tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x28>
tensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x29>
tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x29>
tensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<32x32>
tensor<[32,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<32x32>
tensor<[32,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<45x45>
tensor<[45,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<45x45>
tensor<[45,45,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x46>
tensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x46>
tensor<[1,46,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x47>
tensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x47>
tensor<[1,47,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x48>
tensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x48>
tensor<[1,48,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x49>
tensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x49>
tensor<[1,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x50>
tensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x50>
tensor<[1,50,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x51>
tensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x51>
tensor<[1,51,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x52>
tensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x52>
tensor<[1,52,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x53>
tensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x53>
tensor<[1,53,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x54>
tensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x54>
tensor<[1,54,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x55>
tensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x55>
tensor<[1,55,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x56>
tensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x56>
tensor<[1,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x57>
tensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x57>
tensor<[1,57,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x58>
tensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x58>
tensor<[1,58,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x59>
tensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x59>
tensor<[1,59,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5x5>
tensor<[5,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5x5>
tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x60>
tensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x60>
tensor<[1,60,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x61>
tensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x61>
tensor<[1,61,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x62>
tensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x62>
tensor<[1,62,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x63>
tensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x63>
tensor<[1,63,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x64>
tensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x64>
tensor<[1,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x65>
tensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x65>
tensor<[1,65,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x66>
tensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x66>
tensor<[1,66,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x67>
tensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x67>
tensor<[1,67,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x68>
tensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x68>
tensor<[1,68,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x69>
tensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x69>
tensor<[1,69,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6>
tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6>
tensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x70>
tensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x70>
tensor<[1,70,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x71>
tensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x71>
tensor<[1,71,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x72>
tensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x72>
tensor<[1,72,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x73>
tensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x73>
tensor<[1,73,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x74>
tensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x74>
tensor<[1,74,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x75>
tensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x75>
tensor<[1,75,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x76>
tensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x76>
tensor<[1,76,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x77>
tensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x77>
tensor<[1,77,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x78>
tensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x78>
tensor<[1,78,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x79>
tensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x79>
tensor<[1,79,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7>
tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7>
tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x80>
tensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x80>
tensor<[1,80,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x81>
tensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x81>
tensor<[1,81,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
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memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x82>
tensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x82>
tensor<[1,82,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x83>
tensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x83>
tensor<[1,83,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x84>
tensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x84>
tensor<[1,84,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x85>
tensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x85>
tensor<[1,85,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x86>
tensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x86>
tensor<[1,86,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x87>
tensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x87>
tensor<[1,87,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x88>
tensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x88>
tensor<[1,88,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x89>
tensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x89>
tensor<[1,89,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8>
tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8>
tensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x90>
tensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x90>
tensor<[1,90,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x91>
tensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x91>
tensor<[1,91,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x92>
tensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x92>
tensor<[1,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x93>
tensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x93>
tensor<[1,93,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x94>
tensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x94>
tensor<[1,94,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x95>
tensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x95>
tensor<[1,95,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x96>
tensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x96>
tensor<[1,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x97>
tensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x97>
tensor<[1,97,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x98>
tensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x98>
tensor<[1,98,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x99>
tensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x99>
tensor<[1,99,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9>
tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9>
tensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x120x1x1>
tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1x1>
tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x1>>, >
shape: #ttnn.shape<1x480x1x1>
tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x512x1x1>
tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x672x1x1>
tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x72x1x1>
tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x768x1x1>
tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x960x1x1>
tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x4>>, >
shape: #ttnn.shape<1x16x112x112>
tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x5>>, >
shape: #ttnn.shape<1x16x160x160>
tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<1x184x14x14>
tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<115x1>>, >
shape: #ttnn.shape<1x184x20x20>
tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<88x1>>, >
shape: #ttnn.shape<1x200x14x14>
tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<125x1>>, >
shape: #ttnn.shape<1x200x20x20>
tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x240x14x14>
tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x240x20x20>
tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x240x28x28>
tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x2>>, >
shape: #ttnn.shape<1x240x40x40>
tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x480x10x10>
tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x1>>, >
shape: #ttnn.shape<1x480x20x20>
tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x672x10x10>
tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x672x20x20>
tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x672x7x7>
tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x1152x7x7>
tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<288x1>>, >
shape: #ttnn.shape<1x1152x8x8>
tensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<51x1>>, >
shape: #ttnn.shape<1x116x14x14>
tensor<[1,116,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<351x1>>, >
shape: #ttnn.shape<1x1248x9x9>
tensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<400x1>>, >
shape: #ttnn.shape<1x1280x10x10>
tensor<[1,1280,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<480x1>>, >
shape: #ttnn.shape<1x1280x12x12>
tensor<[1,1280,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x1280x7x7>
tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x1>>, >
shape: #ttnn.shape<1x1280x9x9>
tensor<[1,1280,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x128x1x1>
tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x128x2x2>
tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x1>>, >
shape: #ttnn.shape<1x128x3x3>
tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x2>>, >
shape: #ttnn.shape<1x128x56x56>
tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x1>>, >
shape: #ttnn.shape<1x128x5x5>
tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<118x1>>, >
shape: #ttnn.shape<1x134x28x28>
tensor<[1,134,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<435x1>>, >
shape: #ttnn.shape<1x1392x10x10>
tensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<675x5>>, >
shape: #ttnn.shape<1x144x150x150>
tensor<[1,144,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<855x6>>, >
shape: #ttnn.shape<1x144x190x190>
tensor<[1,144,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x144x28x28>
tensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<135x1>>, >
shape: #ttnn.shape<1x144x30x30>
tensor<[1,144,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<149x2>>, >
shape: #ttnn.shape<1x144x33x33>
tensor<[1,144,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x2>>, >
shape: #ttnn.shape<1x144x56x56>
tensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<270x2>>, >
shape: #ttnn.shape<1x144x60x60>
tensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<293x3>>, >
shape: #ttnn.shape<1x144x65x65>
tensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<338x3>>, >
shape: #ttnn.shape<1x144x75x75>
tensor<[1,144,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<428x3>>, >
shape: #ttnn.shape<1x144x95x95>
tensor<[1,144,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x2>>, >
shape: #ttnn.shape<1x14x56x56>
tensor<[1,14,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x160x7x7>
tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<612x1>>, >
shape: #ttnn.shape<1x1632x12x12>
tensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x168x28x28>
tensor<[1,168,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x16x28x28>
tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x192x14x14>
tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x192x28x28>
tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<228x2>>, >
shape: #ttnn.shape<1x192x38x38>
tensor<[1,192,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<288x2>>, >
shape: #ttnn.shape<1x192x48x48>
tensor<[1,192,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<450x3>>, >
shape: #ttnn.shape<1x192x75x75>
tensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<570x3>>, >
shape: #ttnn.shape<1x192x95x95>
tensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<86x1>>, >
shape: #ttnn.shape<1x196x14x14>
tensor<[1,196,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x20x28x28>
tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x240x14x14>
tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<113x1>>, >
shape: #ttnn.shape<1x240x15x15>
tensor<[1,240,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x240x28x28>
tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<225x1>>, >
shape: #ttnn.shape<1x240x30x30>
tensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x2>>, >
shape: #ttnn.shape<1x24x56x56>
tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x256x10x10>
tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x256x14x14>
tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x256x28x28>
tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x256x2x2>
tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x256x3x3>
tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x256x5x5>
tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x1>>, >
shape: #ttnn.shape<1x272x7x7>
tensor<[1,272,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<153x1>>, >
shape: #ttnn.shape<1x288x17x17>
tensor<[1,288,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<171x1>>, >
shape: #ttnn.shape<1x288x19x19>
tensor<[1,288,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<297x2>>, >
shape: #ttnn.shape<1x288x33x33>
tensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<342x2>>, >
shape: #ttnn.shape<1x288x38x38>
tensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x28x28x28>
tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x320x28x28>
tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x4>>, >
shape: #ttnn.shape<1x32x112x112>
tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x4>>, >
shape: #ttnn.shape<1x32x120x120>
tensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<130x5>>, >
shape: #ttnn.shape<1x32x130x130>
tensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x5>>, >
shape: #ttnn.shape<1x32x150x150>
tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<190x6>>, >
shape: #ttnn.shape<1x32x190x190>
tensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x334x14x14>
tensor<[1,334,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x336x24x24>
tensor<[1,336,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x2>>, >
shape: #ttnn.shape<1x336x48x48>
tensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x34x28x28>
tensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x384x14x14>
tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x40x14x14>
tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x2>>, >
shape: #ttnn.shape<1x40x56x56>
tensor<[1,40,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x462x7x7>
tensor<[1,462,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x46x28x28>
tensor<[1,46,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x480x10x10>
tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<225x1>>, >
shape: #ttnn.shape<1x480x15x15>
tensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x512x5x5>
tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x512x7x7>
tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<281x1>>, >
shape: #ttnn.shape<1x528x17x17>
tensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x576x14x14>
tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<342x1>>, >
shape: #ttnn.shape<1x576x19x19>
tensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x576x7x7>
tensor<[1,576,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<51x1>>, >
shape: #ttnn.shape<1x58x28x28>
tensor<[1,58,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x640x14x14>
tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x4>>, >
shape: #ttnn.shape<1x64x112x112>
tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x1x1>
tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x64x2x2>
tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x2>>, >
shape: #ttnn.shape<1x64x56x56>
tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<315x1>>, >
shape: #ttnn.shape<1x672x15x15>
tensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x672x20x20>
tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x1>>, >
shape: #ttnn.shape<1x672x24x24>
tensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x672x7x7>
tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x672x8x8>
tensor<[1,672,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x68x14x14>
tensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<119x2>>, >
shape: #ttnn.shape<1x68x56x56>
tensor<[1,68,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<383x1>>, >
shape: #ttnn.shape<1x720x17x17>
tensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<203x1>>, >
shape: #ttnn.shape<1x720x9x9>
tensor<[1,720,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<69x1>>, >
shape: #ttnn.shape<1x78x28x28>
tensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<255x1>>, >
shape: #ttnn.shape<1x816x10x10>
tensor<[1,816,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<485x1>>, >
shape: #ttnn.shape<1x816x19x19>
tensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x1>>, >
shape: #ttnn.shape<1x960x12x12>
tensor<[1,960,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x1>>, >
shape: #ttnn.shape<1x960x24x24>
tensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x4>>, >
shape: #ttnn.shape<1x96x112x112>
tensor<[1,96,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x4>>, >
shape: #ttnn.shape<1x96x120x120>
tensor<[1,96,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<390x5>>, >
shape: #ttnn.shape<1x96x130x130>
tensor<[1,96,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x2>>, >
shape: #ttnn.shape<1x96x56x56>
tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<180x2>>, >
shape: #ttnn.shape<1x96x60x60>
tensor<[1,96,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<195x3>>, >
shape: #ttnn.shape<1x96x65x65>
tensor<[1,96,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<86x1>>, >
shape: #ttnn.shape<1x98x28x28>
tensor<[1,98,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x32>
tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x5x32>
tensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<1x128x128x128>
tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x128x32x32>
tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x2>>, >
shape: #ttnn.shape<1x128x64x64>
tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x256x16x16>
tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x256x32x32>
tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x2>>, >
shape: #ttnn.shape<1x256x64x64>
tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x8>>, >
shape: #ttnn.shape<1x32x256x256>
tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x16>>, >
shape: #ttnn.shape<1x32x512x512>
tensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x512x16x16>
tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x512x32x32>
tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x4>>, >
shape: #ttnn.shape<1x64x128x128>
tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x64x256x256>
tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x6>
tensor<[6,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x6>
tensor<[6,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<8x2048>
tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<8x2048>
tensor<[8,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<1x1x3136x128>
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x4>>, >
shape: #ttnn.shape<1x1x196x128>
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x4>>, >
shape: #ttnn.shape<1x1x784x128>
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x4>>, >
shape: #ttnn.shape<1x1x1024x128>
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x1x196x16>
tensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<39x6>>, >
shape: #ttnn.shape<1x1x1225x192>
tensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x8>>, >
shape: #ttnn.shape<1x1x49x256>
tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<1x1x784x256>
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x10>>, >
shape: #ttnn.shape<1x1x196x320>
tensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x1>>, >
shape: #ttnn.shape<1x1x3136x32>
tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x1x16384x32>
tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x12>>, >
shape: #ttnn.shape<1x1x289x384>
tensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x1x49x4>
tensor<[1,1,49,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x16>>, >
shape: #ttnn.shape<1x1x49x512>
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x1x196x512>
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x20>>, >
shape: #ttnn.shape<1x1x49x640>
tensor<[1,1,49,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x2>>, >
shape: #ttnn.shape<1x1x3136x64>
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x1x4096x64>
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<167x2>>, >
shape: #ttnn.shape<1x1x5329x64>
tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x2>>, >
shape: #ttnn.shape<1x1x12544x64>
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x1x144x64>
tensor<[1,1,144,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1800x2>>, >
shape: #ttnn.shape<1x1x57600x64>
tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x2>>, >
shape: #ttnn.shape<1x1x784x64>
tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x26>>, >
shape: #ttnn.shape<1x1x49x832>
tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x1024x1x1>
tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10x1>
tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10x1>
tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10x1>
tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10x1>
tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11x1>
tensor<[1,11,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x120x1x1>
tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x120x1x1>
tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x120x1x1>
tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x1280x1x1>
tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x1280x1x1>
tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x1280x1x1>
tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x1280x1x1>
tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x1280x1x1>
tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1>
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x1392x1x1>
tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13x1>
tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13x1>
tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14x1>
tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x1536x1x1>
tensor<[1,1536,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15x1>
tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15x1>
tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x1>>, >
shape: #ttnn.shape<1x1920x1x1>
tensor<[1,1920,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x768>
tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1>
tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1>
tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1>
tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1>
tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x2048x1x1>
tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x2048x1x1>
tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x232x1x1>
tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<79x1>>, >
shape: #ttnn.shape<1x2520x1x1>
tensor<[1,2520,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1x1>
tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1>
tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1>
tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<116x1>>, >
shape: #ttnn.shape<1x3712x1x1>
tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x1>>, >
shape: #ttnn.shape<1x480x1x1>
tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x1>>, >
shape: #ttnn.shape<1x480x1x1>
tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x1>>, >
shape: #ttnn.shape<1x480x1x1>
tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x1>>, >
shape: #ttnn.shape<1x480x1x1>
tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x512>
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x512x1x1>
tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x512x1x1>
tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x672x1x1>
tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x672x1x1>
tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x672x1x1>
tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x672x1x1>
tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x672x1x1>
tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x672x1x1>
tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<22x1>>, >
shape: #ttnn.shape<1x696x1x1>
tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1>
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x72x1x1>
tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x72x1x1>
tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x72x1x1>
tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x768x1x1>
tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7x1>
tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1>
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x960x1x1>
tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x960x1x1>
tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9x1>
tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x13x1>
tensor<[2,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<100x4>
tensor<[100,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x3>>, >
shape: #ttnn.shape<100x92>
tensor<[100,92,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x8>>, >
shape: #ttnn.shape<100x256>
tensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x64>>, >
shape: #ttnn.shape<100x2048>
tensor<[100,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x8>>, >
shape: #ttnn.shape<100x256>
tensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x192>>, >
shape: #ttnn.shape<1024x6144>
tensor<[1024,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x24>>, >
shape: #ttnn.shape<1024x768>
tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x5>>, >
shape: #ttnn.shape<1024x160>
tensor<[1024,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x8>>, >
shape: #ttnn.shape<1024x256>
tensor<[1024,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1024x640>
tensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1024x640>
tensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1024x1536>
tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x24>>, >
shape: #ttnn.shape<1024x768>
tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1024x1536>
tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x5>>, >
shape: #ttnn.shape<1024x160>
tensor<[1024,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x160>>, >
shape: #ttnn.shape<1024x5120>
tensor<[1024,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1024x640>
tensor<[1024,640,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x96>>, >
shape: #ttnn.shape<1024x3072>
tensor<[1024,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<10x1024>
tensor<[10,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<10x4096>
tensor<[10,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >
shape: #ttnn.shape<10x50280>
tensor<[10,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<10x6144>
tensor<[10,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<10x512>
tensor<[10,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<10x768>
tensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<10x1024>
tensor<[10,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<10x2048>
tensor<[10,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<10x512>
tensor<[10,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x7813>>, >
shape: #ttnn.shape<10x250002>
tensor<[10,250002,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<10x3072>
tensor<[10,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<10x768>
tensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<10x3072>
tensor<[10,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >
shape: #ttnn.shape<11x50280>
tensor<[11,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<11x6144>
tensor<[11,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<11x3072>
tensor<[11,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x10>>, >
shape: #ttnn.shape<1200x320>
tensor<[1200,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x40>>, >
shape: #ttnn.shape<1200x1280>
tensor<[1200,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x10>>, >
shape: #ttnn.shape<1200x320>
tensor<[1200,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x48>>, >
shape: #ttnn.shape<1296x1536>
tensor<[1296,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x144>>, >
shape: #ttnn.shape<1296x4608>
tensor<[1296,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x72>>, >
shape: #ttnn.shape<1296x2304>
tensor<[1296,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x24>>, >
shape: #ttnn.shape<1296x768>
tensor<[1296,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<12x768>
tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<12x1536>
tensor<[12,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x8>>, >
shape: #ttnn.shape<12x256>
tensor<[12,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >
shape: #ttnn.shape<12x50280>
tensor<[12,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<12x6144>
tensor<[12,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x280>>, >
shape: #ttnn.shape<12x8960>
tensor<[12,8960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<12x768>
tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x2>
tensor<[12,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<12x3072>
tensor<[12,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<12x768>
tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<12x1536>
tensor<[12,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<12x3072>
tensor<[12,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1370x1280>
tensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x120>>, >
shape: #ttnn.shape<1370x3840>
tensor<[1370,3840,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x160>>, >
shape: #ttnn.shape<1370x5120>
tensor<[1370,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1370x1280>
tensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >
shape: #ttnn.shape<13x50280>
tensor<[13,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<13x6144>
tensor<[13,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x112>>, >
shape: #ttnn.shape<13x3584>
tensor<[13,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x592>>, >
shape: #ttnn.shape<13x18944>
tensor<[13,18944,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<13x2>
tensor<[13,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x112>>, >
shape: #ttnn.shape<13x3584>
tensor<[13,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<13x512>
tensor<[13,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<13x3072>
tensor<[13,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1445x192>
tensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x24>>, >
shape: #ttnn.shape<1445x768>
tensor<[1445,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1445x192>
tensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<14x768>
tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >
shape: #ttnn.shape<14x50280>
tensor<[14,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<14x6144>
tensor<[14,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<14x512>
tensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<14x768>
tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<14x2048>
tensor<[14,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<14x512>
tensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<14x2>
tensor<[14,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<14x3072>
tensor<[14,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<14x768>
tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<14x3072>
tensor<[14,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1500x768>
tensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x96>>, >
shape: #ttnn.shape<1500x3072>
tensor<[1500,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1500x768>
tensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<15x512>
tensor<[15,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >
shape: #ttnn.shape<15x50280>
tensor<[15,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<15x6144>
tensor<[15,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<15x512>
tensor<[15,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<15x1024>
tensor<[15,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x12>>, >
shape: #ttnn.shape<15x384>
tensor<[15,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<15x3072>
tensor<[15,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<16384x32>
tensor<[16384,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x12>>, >
shape: #ttnn.shape<16384x384>
tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x24>>, >
shape: #ttnn.shape<16384x768>
tensor<[16384,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<16384x128>
tensor<[16384,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<16384x256>
tensor<[16384,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<16384x32>
tensor<[16384,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x48>>, >
shape: #ttnn.shape<16384x1536>
tensor<[16384,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x6>>, >
shape: #ttnn.shape<16384x192>
tensor<[16384,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x12>>, >
shape: #ttnn.shape<16384x384>
tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<16x768>
tensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<16x3072>
tensor<[16,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<16x768>
tensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x6>>, >
shape: #ttnn.shape<17424x192>
tensor<[17424,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x18>>, >
shape: #ttnn.shape<17424x576>
tensor<[17424,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x36>>, >
shape: #ttnn.shape<17424x1152>
tensor<[17424,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x12>>, >
shape: #ttnn.shape<17424x384>
tensor<[17424,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<19200x64>
tensor<[19200,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x8>>, >
shape: #ttnn.shape<19200x256>
tensor<[19200,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<19200x64>
tensor<[19200,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<196x512>
tensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<196x512>
tensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<196x768>
tensor<[196,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x48>>, >
shape: #ttnn.shape<196x1536>
tensor<[196,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x64>>, >
shape: #ttnn.shape<196x2048>
tensor<[196,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<196x512>
tensor<[196,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<196x3072>
tensor<[196,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<197x1024>
tensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x128>>, >
shape: #ttnn.shape<197x4096>
tensor<[197,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<197x768>
tensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<197x1024>
tensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<197x3072>
tensor<[197,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<197x768>
tensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x3072>
tensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1004>>, >
shape: #ttnn.shape<1x32128>
tensor<[1,32128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x4096>
tensor<[1,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x512>
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1600>>, >
shape: #ttnn.shape<1x51200>
tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x64>
tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x25>>, >
shape: #ttnn.shape<1x784>
tensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x3>
tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x64>
tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4748>>, >
shape: #ttnn.shape<1x151936>
tensor<[1,151936,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x8>>, >
shape: #ttnn.shape<1x256>
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x98>>, >
shape: #ttnn.shape<1x3129>
tensor<[1,3129,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x280>>, >
shape: #ttnn.shape<1x8960>
tensor<[1,8960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x512>
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x4096>
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x768>
tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x512>
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x4096>
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x2048>
tensor<[1,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1004>>, >
shape: #ttnn.shape<1x32128>
tensor<[1,32128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x12>>, >
shape: #ttnn.shape<1x384>
tensor<[1,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1571>>, >
shape: #ttnn.shape<1x50272>
tensor<[1,50272,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x512>
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x128>
tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x2>
tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x683>>, >
shape: #ttnn.shape<1x21843>
tensor<[1,21843,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x3>
tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x3072>
tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1004>>, >
shape: #ttnn.shape<1x32128>
tensor<[1,32128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1571>>, >
shape: #ttnn.shape<1x50257>
tensor<[1,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x512>
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x768>
tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x128>
tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x128>
tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x40>>, >
shape: #ttnn.shape<1x1280>
tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<201x768>
tensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<201x3072>
tensor<[201,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<201x768>
tensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x40>>, >
shape: #ttnn.shape<2048x1280>
tensor<[2048,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x8>>, >
shape: #ttnn.shape<2048x256>
tensor<[2048,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x9>>, >
shape: #ttnn.shape<2048x262>
tensor<[2048,262,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<2048x768>
tensor<[2048,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<256x1024>
tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<256x2>
tensor<[256,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<256x256>
tensor<[256,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x128>>, >
shape: #ttnn.shape<256x4096>
tensor<[256,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x320>>, >
shape: #ttnn.shape<256x10240>
tensor<[256,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<256x1280>
tensor<[256,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<256x256>
tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x24>>, >
shape: #ttnn.shape<256x768>
tensor<[256,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x192>>, >
shape: #ttnn.shape<256x6144>
tensor<[256,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x5>>, >
shape: #ttnn.shape<256x160>
tensor<[256,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<256x1024>
tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<256x256>
tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<256x512>
tensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x48>>, >
shape: #ttnn.shape<256x1536>
tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<256x32>
tensor<[256,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<256x1024>
tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<256x1280>
tensor<[256,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<256x256>
tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x48>>, >
shape: #ttnn.shape<256x1536>
tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<256x64>
tensor<[256,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<256x512>
tensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<257x768>
tensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x72>>, >
shape: #ttnn.shape<257x2304>
tensor<[257,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x96>>, >
shape: #ttnn.shape<257x3072>
tensor<[257,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<257x768>
tensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<25x768>
tensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<25x2>
tensor<[25,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<25x3072>
tensor<[25,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<25x768>
tensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<26x768>
tensor<[26,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<26x3072>
tensor<[26,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<26x768>
tensor<[26,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x954>>, >
shape: #ttnn.shape<27x30522>
tensor<[27,30522,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<27x38>
tensor<[27,38,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1571>>, >
shape: #ttnn.shape<27x50257>
tensor<[27,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x1>
tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x512>
tensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x4>>, >
shape: #ttnn.shape<300x128>
tensor<[300,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<300x512>
tensor<[300,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x10>>, >
shape: #ttnn.shape<300x320>
tensor<[300,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x64>>, >
shape: #ttnn.shape<300x2048>
tensor<[300,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<300x512>
tensor<[300,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<300x64>
tensor<[300,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<3136x128>
tensor<[3136,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x12>>, >
shape: #ttnn.shape<3136x384>
tensor<[3136,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x16>>, >
shape: #ttnn.shape<3136x512>
tensor<[3136,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<3136x128>
tensor<[3136,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<32x4096>
tensor<[32,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<32x1536>
tensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x7840>>, >
shape: #ttnn.shape<32x250880>
tensor<[32,250880,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7840, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x144>>, >
shape: #ttnn.shape<32x4608>
tensor<[32,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<32x6144>
tensor<[32,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<32x1024>
tensor<[32,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4008>>, >
shape: #ttnn.shape<32x128256>
tensor<[32,128256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4008, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<32x3072>
tensor<[32,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<32x8192>
tensor<[32,8192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x344>>, >
shape: #ttnn.shape<32x11008>
tensor<[32,11008,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1000>>, >
shape: #ttnn.shape<32x32000>
tensor<[32,32000,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1000, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<32x4096>
tensor<[32,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<32x1536>
tensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<32x3072>
tensor<[32,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<4096x320>
tensor<[4096,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x12>>, >
shape: #ttnn.shape<4096x384>
tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<4096x768>
tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<4096x64>
tensor<[4096,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<4096x768>
tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x80>>, >
shape: #ttnn.shape<4096x2560>
tensor<[4096,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<4096x320>
tensor<[4096,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x48>>, >
shape: #ttnn.shape<4096x1536>
tensor<[4096,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x8>>, >
shape: #ttnn.shape<4096x256>
tensor<[4096,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<4096x64>
tensor<[4096,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x96>>, >
shape: #ttnn.shape<4096x3072>
tensor<[4096,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x12>>, >
shape: #ttnn.shape<4096x384>
tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<45x768>
tensor<[45,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<45x3072>
tensor<[45,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1571>>, >
shape: #ttnn.shape<45x50257>
tensor<[45,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<45x768>
tensor<[45,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x4>>, >
shape: #ttnn.shape<4800x128>
tensor<[4800,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x16>>, >
shape: #ttnn.shape<4800x512>
tensor<[4800,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x4>>, >
shape: #ttnn.shape<4800x128>
tensor<[4800,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<49x1024>
tensor<[49,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<49x3072>
tensor<[49,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x128>>, >
shape: #ttnn.shape<49x4096>
tensor<[49,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<49x1024>
tensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<49x1024>
tensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<4x1024>
tensor<[4,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<4x2048>
tensor<[4,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<4x4096>
tensor<[4,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<4x1024>
tensor<[4,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<50x768>
tensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<50x3072>
tensor<[50,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<50x768>
tensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x36>>, >
shape: #ttnn.shape<5184x1152>
tensor<[5184,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x12>>, >
shape: #ttnn.shape<5184x384>
tensor<[5184,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x72>>, >
shape: #ttnn.shape<5184x2304>
tensor<[5184,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x24>>, >
shape: #ttnn.shape<5184x768>
tensor<[5184,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<52x1024>
tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<52x1024>
tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x48>>, >
shape: #ttnn.shape<576x1536>
tensor<[576,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x144>>, >
shape: #ttnn.shape<576x4608>
tensor<[576,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<5x1024>
tensor<[5,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<5x3072>
tensor<[5,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<5x4096>
tensor<[5,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1600>>, >
shape: #ttnn.shape<5x51200>
tensor<[5,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<5x1024>
tensor<[5,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x8>>, >
shape: #ttnn.shape<600x256>
tensor<[600,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x1>>, >
shape: #ttnn.shape<600x4>
tensor<[600,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x3>>, >
shape: #ttnn.shape<600x92>
tensor<[600,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x320>>, >
shape: #ttnn.shape<64x10240>
tensor<[64,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<64x1280>
tensor<[64,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<64x1280>
tensor<[64,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x24>>, >
shape: #ttnn.shape<65536x768>
tensor<[65536,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >
shape: #ttnn.shape<65536x192>
tensor<[65536,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2178x6>>, >
shape: #ttnn.shape<69696x192>
tensor<[69696,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2178x18>>, >
shape: #ttnn.shape<69696x576>
tensor<[69696,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<6x1024>
tensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<6x4096>
tensor<[6,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<6x512>
tensor<[6,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >
shape: #ttnn.shape<6x50280>
tensor<[6,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<6x6144>
tensor<[6,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<6x1024>
tensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<6x1024>
tensor<[6,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1571>>, >
shape: #ttnn.shape<6x50272>
tensor<[6,50272,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<6x3072>
tensor<[6,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x12>>, >
shape: #ttnn.shape<768x384>
tensor<[768,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x7>>, >
shape: #ttnn.shape<768x196>
tensor<[768,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<784x256>
tensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x32>>, >
shape: #ttnn.shape<784x1024>
tensor<[784,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<784x256>
tensor<[784,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x24>>, >
shape: #ttnn.shape<784x768>
tensor<[784,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<784x256>
tensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >
shape: #ttnn.shape<7x50280>
tensor<[7,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<7x6144>
tensor<[7,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x142>>, >
shape: #ttnn.shape<7x4544>
tensor<[7,4544,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<7x768>
tensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x568>>, >
shape: #ttnn.shape<7x18176>
tensor<[7,18176,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x142>>, >
shape: #ttnn.shape<7x4544>
tensor<[7,4544,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x146>>, >
shape: #ttnn.shape<7x4672>
tensor<[7,4672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 146, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2032>>, >
shape: #ttnn.shape<7x65024>
tensor<[7,65024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2032, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<7x2>
tensor<[7,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x72>>, >
shape: #ttnn.shape<7x2304>
tensor<[7,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<7x3072>
tensor<[7,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<7x768>
tensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<7x3072>
tensor<[7,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >
shape: #ttnn.shape<8x50280>
tensor<[8,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<8x6144>
tensor<[8,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<8x3072>
tensor<[8,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x8>>, >
shape: #ttnn.shape<920x256>
tensor<[920,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x64>>, >
shape: #ttnn.shape<920x2048>
tensor<[920,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x8>>, >
shape: #ttnn.shape<920x256>
tensor<[920,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<9x1024>
tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<9x128>
tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<9x4096>
tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<9x1024>
tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<9x2048>
tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x938>>, >
shape: #ttnn.shape<9x30000>
tensor<[9,30000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<9x4096>
tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<9x768>
tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >
shape: #ttnn.shape<9x50280>
tensor<[9,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<9x6144>
tensor<[9,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<9x4096>
tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<9x128>
tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<9x2048>
tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<9x8192>
tensor<[9,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<9x768>
tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<9x1024>
tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<9x128>
tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<9x16384>
tensor<[9,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<9x4096>
tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<9x128>
tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x40>>, >
shape: #ttnn.shape<9x1280>
tensor<[9,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<9x3072>
tensor<[9,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x10>>, >
shape: #ttnn.shape<9x320>
tensor<[9,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x20>>, >
shape: #ttnn.shape<9x640>
tensor<[9,640,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<9x768>
tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<9x2048>
tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<9x3072>
tensor<[9,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x12>
tensor<[1,12,128,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x13>
tensor<[1,12,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x14>
tensor<[1,12,128,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x15>
tensor<[1,12,128,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x16>
tensor<[1,12,128,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x17>
tensor<[1,12,128,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x18>
tensor<[1,12,128,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x19>
tensor<[1,12,128,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x20>
tensor<[1,12,128,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x21>
tensor<[1,12,128,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x22>
tensor<[1,12,128,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x23>
tensor<[1,12,128,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x24>
tensor<[1,12,128,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x25>
tensor<[1,12,128,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x26>
tensor<[1,12,128,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x27>
tensor<[1,12,128,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x28>
tensor<[1,12,128,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x12x128x29>
tensor<[1,12,128,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x4>>, >
shape: #ttnn.shape<1x12x12x128>
tensor<[1,12,12,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x12x12x64>
tensor<[1,12,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<1x12x14x64>
tensor<[1,12,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<563x2>>, >
shape: #ttnn.shape<1x12x1500x64>
tensor<[1,12,1500,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x2>>, >
shape: #ttnn.shape<1x12x16x64>
tensor<[1,12,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<74x2>>, >
shape: #ttnn.shape<1x12x197x64>
tensor<[1,12,197,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x128>
tensor<[1,12,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<1x12x25x64>
tensor<[1,12,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x2>>, >
shape: #ttnn.shape<1x12x50x64>
tensor<[1,12,50,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x12x64x10>
tensor<[1,12,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x12x64x12>
tensor<[1,12,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x12x64x14>
tensor<[1,12,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x47>>, >
shape: #ttnn.shape<1x12x64x1500>
tensor<[1,12,64,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x12x64x16>
tensor<[1,12,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x7>>, >
shape: #ttnn.shape<1x12x64x197>
tensor<[1,12,64,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x12x64x25>
tensor<[1,12,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x2>>, >
shape: #ttnn.shape<1x12x64x50>
tensor<[1,12,64,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x12x64x7>
tensor<[1,12,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x12x64x9>
tensor<[1,12,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x12x7x64>
tensor<[1,12,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<1x12x9x64>
tensor<[1,12,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x16x128x9>
tensor<[1,16,128,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<685x3>>, >
shape: #ttnn.shape<1x16x1370x80>
tensor<[1,16,1370,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x16x1x64>
tensor<[1,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x16x256x64>
tensor<[1,16,256,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x10>
tensor<[1,16,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x11>
tensor<[1,16,64,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x12>
tensor<[1,16,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x13>
tensor<[1,16,64,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x14>
tensor<[1,16,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x15>
tensor<[1,16,64,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x16>
tensor<[1,16,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x17>
tensor<[1,16,64,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x18>
tensor<[1,16,64,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x19>
tensor<[1,16,64,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x20>
tensor<[1,16,64,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x21>
tensor<[1,16,64,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x22>
tensor<[1,16,64,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x23>
tensor<[1,16,64,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x24>
tensor<[1,16,64,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x8>>, >
shape: #ttnn.shape<1x16x64x256>
tensor<[1,16,64,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x25>
tensor<[1,16,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x26>
tensor<[1,16,64,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x27>
tensor<[1,16,64,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x28>
tensor<[1,16,64,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x29>
tensor<[1,16,64,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x6>
tensor<[1,16,64,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x7>
tensor<[1,16,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x8>
tensor<[1,16,64,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x9>
tensor<[1,16,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x16x64x9>
tensor<[1,16,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x2>>, >
shape: #ttnn.shape<1x16x6x64>
tensor<[1,16,6,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x43>>, >
shape: #ttnn.shape<1x16x80x1370>
tensor<[1,16,80,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x4>>, >
shape: #ttnn.shape<1x16x9x128>
tensor<[1,16,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x2>>, >
shape: #ttnn.shape<1x16x9x64>
tensor<[1,16,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x1x64x7>
tensor<[1,1,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x24x128x32>
tensor<[1,24,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x4>>, >
shape: #ttnn.shape<1x24x32x128>
tensor<[1,24,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x28x128x13>
tensor<[1,28,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x4>>, >
shape: #ttnn.shape<1x28x13x128>
tensor<[1,28,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x32x128x32>
tensor<[1,32,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x4>>, >
shape: #ttnn.shape<1x32x32x128>
tensor<[1,32,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<136x2>>, >
shape: #ttnn.shape<1x3x1445x64>
tensor<[1,3,1445,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x46>>, >
shape: #ttnn.shape<1x3x64x1445>
tensor<[1,3,64,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x64x64x9>
tensor<[1,64,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x2>>, >
shape: #ttnn.shape<1x64x9x64>
tensor<[1,64,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x2>>, >
shape: #ttnn.shape<1x71x7x64>
tensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x3>>, >
shape: #ttnn.shape<1x8x1024x80>
tensor<[1,8,1024,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x8>>, >
shape: #ttnn.shape<1x8x160x256>
tensor<[1,8,160,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x2>>, >
shape: #ttnn.shape<1x8x160x64>
tensor<[1,8,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x8x160x9>
tensor<[1,8,160,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x5>>, >
shape: #ttnn.shape<1x8x256x160>
tensor<[1,8,256,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x2>>, >
shape: #ttnn.shape<1x8x4096x40>
tensor<[1,8,4096,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x128>>, >
shape: #ttnn.shape<1x8x40x4096>
tensor<[1,8,40,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<1x8x40x9>
tensor<[1,8,40,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x5>>, >
shape: #ttnn.shape<1x8x64x160>
tensor<[1,8,64,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x32>>, >
shape: #ttnn.shape<1x8x80x1024>
tensor<[1,8,80,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x1>>, >
shape: #ttnn.shape<1x8x80x9>
tensor<[1,8,80,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<2x8x64x7>
tensor<[2,8,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x2>>, >
shape: #ttnn.shape<2x8x7x64>
tensor<[2,8,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<4x16x1x64>
tensor<[4,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<4x16x64x1>
tensor<[4,16,64,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x8>>, >
shape: #ttnn.shape<100x1x256>
tensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x8>>, >
shape: #ttnn.shape<100x1x256>
tensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x64>>, >
shape: #ttnn.shape<100x2048>
tensor<[100,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x8>>, >
shape: #ttnn.shape<100x256>
tensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<100x4>
tensor<[100,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x3>>, >
shape: #ttnn.shape<100x92>
tensor<[100,92,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1024>
tensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x10x1024>
tensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x197x1024>
tensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1024x1536>
tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x5>>, >
shape: #ttnn.shape<1024x160>
tensor<[1024,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x96>>, >
shape: #ttnn.shape<1024x3072>
tensor<[1024,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x160>>, >
shape: #ttnn.shape<1024x5120>
tensor<[1024,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x192>>, >
shape: #ttnn.shape<1024x6144>
tensor<[1024,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1024x640>
tensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x24>>, >
shape: #ttnn.shape<1024x768>
tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x7813>>, >
shape: #ttnn.shape<10x250002>
tensor<[10,250002,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<10x3072>
tensor<[10,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<10x768>
tensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x40>>, >
shape: #ttnn.shape<1200x1280>
tensor<[1200,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x10>>, >
shape: #ttnn.shape<1200x320>
tensor<[1200,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6534x1>>, >
shape: #ttnn.shape<121x12x144x32>
tensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3267x1>>, >
shape: #ttnn.shape<121x6x144x32>
tensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x48>>, >
shape: #ttnn.shape<1296x1536>
tensor<[1296,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x72>>, >
shape: #ttnn.shape<1296x2304>
tensor<[1296,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x144>>, >
shape: #ttnn.shape<1296x4608>
tensor<[1296,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x24>>, >
shape: #ttnn.shape<1296x768>
tensor<[1296,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x12>
tensor<[12,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<12x1536>
tensor<[12,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x8>>, >
shape: #ttnn.shape<12x256>
tensor<[12,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12x2>
tensor<[12,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<12x3072>
tensor<[12,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<12x768>
tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1370x1280>
tensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x120>>, >
shape: #ttnn.shape<1370x3840>
tensor<[1370,3840,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x160>>, >
shape: #ttnn.shape<1370x5120>
tensor<[1370,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<13x13>
tensor<[13,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<13x2>
tensor<[13,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x112>>, >
shape: #ttnn.shape<13x3584>
tensor<[13,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<13x512>
tensor<[13,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1445x192>
tensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x24>>, >
shape: #ttnn.shape<1445x768>
tensor<[1445,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<14x2048>
tensor<[14,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<14x2>
tensor<[14,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<14x3072>
tensor<[14,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<14x512>
tensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<14x768>
tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x96>>, >
shape: #ttnn.shape<1500x3072>
tensor<[1500,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1500x768>
tensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1536>
tensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x10x1536>
tensor<[1,10,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x11x1536>
tensor<[1,11,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x12x1536>
tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x13x1536>
tensor<[1,13,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x14x1536>
tensor<[1,14,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x15x1536>
tensor<[1,15,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1x1536>
tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x6x1536>
tensor<[1,6,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x7x1536>
tensor<[1,7,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x8x1536>
tensor<[1,8,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x9x1536>
tensor<[1,9,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<16384x128>
tensor<[16384,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x48>>, >
shape: #ttnn.shape<16384x1536>
tensor<[16384,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x6>>, >
shape: #ttnn.shape<16384x192>
tensor<[16384,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<16384x32>
tensor<[16384,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x12>>, >
shape: #ttnn.shape<16384x384>
tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x24>>, >
shape: #ttnn.shape<16384x768>
tensor<[16384,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x32>
tensor<[1,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<16x3072>
tensor<[16,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<16x768>
tensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<16x8x49x32>
tensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x36>>, >
shape: #ttnn.shape<17424x1152>
tensor<[17424,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x6>>, >
shape: #ttnn.shape<17424x192>
tensor<[17424,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x12>>, >
shape: #ttnn.shape<17424x384>
tensor<[17424,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x18>>, >
shape: #ttnn.shape<17424x576>
tensor<[17424,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x8>>, >
shape: #ttnn.shape<19200x256>
tensor<[19200,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<19200x64>
tensor<[19200,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x48>>, >
shape: #ttnn.shape<196x1536>
tensor<[196,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<196x3072>
tensor<[196,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<196x512>
tensor<[196,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<196x768>
tensor<[196,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<197x1024>
tensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<197x3072>
tensor<[197,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x128>>, >
shape: #ttnn.shape<197x4096>
tensor<[197,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<197x768>
tensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1>
tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1000>
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x100x14x14>
tensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1024x10x10>
tensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x1024x14x14>
tensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1x1024x1536>
tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1x1024x1536>
tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x5>>, >
shape: #ttnn.shape<1x1024x160>
tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x5>>, >
shape: #ttnn.shape<1x1024x160>
tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x1024x16x16>
tensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<608x1>>, >
shape: #ttnn.shape<1x1024x19x19>
tensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x80>>, >
shape: #ttnn.shape<1x1024x2560>
tensor<[1,1024,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x1>>, >
shape: #ttnn.shape<1x1024x28x28>
tensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x96>>, >
shape: #ttnn.shape<1x1024x3072>
tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x96>>, >
shape: #ttnn.shape<1x1024x3072>
tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x3>>, >
shape: #ttnn.shape<1x1024x45x80>
tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1x1024x640>
tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1x1024x640>
tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x24>>, >
shape: #ttnn.shape<1x1024x768>
tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x24>>, >
shape: #ttnn.shape<1x1024x768>
tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x1024x7x7>
tensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x1024x7x7>
tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<462x1>>, >
shape: #ttnn.shape<1x1056x14x14>
tensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<231x1>>, >
shape: #ttnn.shape<1x1056x7x7>
tensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<476x1>>, >
shape: #ttnn.shape<1x1088x14x14>
tensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x1088x7x7>
tensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x10x1024>
tensor<[1,10,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x10x1536>
tensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x10x512>
tensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<490x1>>, >
shape: #ttnn.shape<1x1120x14x14>
tensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<245x1>>, >
shape: #ttnn.shape<1x1120x7x7>
tensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x112x14x14>
tensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x112x15x15>
tensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x112x20x20>
tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x112x24x24>
tensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x112x7x7>
tensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x1>>, >
shape: #ttnn.shape<1x1152x14x14>
tensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x1152x7x7>
tensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<288x1>>, >
shape: #ttnn.shape<1x1152x8x8>
tensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<51x1>>, >
shape: #ttnn.shape<1x116x14x14>
tensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<518x1>>, >
shape: #ttnn.shape<1x1184x14x14>
tensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<259x1>>, >
shape: #ttnn.shape<1x1184x7x7>
tensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11>
tensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x11x1536>
tensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x10>>, >
shape: #ttnn.shape<1x1200x320>
tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x10>>, >
shape: #ttnn.shape<1x1200x320>
tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x120x14x14>
tensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x120x17x17>
tensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x120x28x28>
tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x2>>, >
shape: #ttnn.shape<1x120x40x40>
tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x120x28x28>
tensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x120x28x28>
tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x120x28x28>
tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x2>>, >
shape: #ttnn.shape<1x120x40x40>
tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<532x1>>, >
shape: #ttnn.shape<1x1216x14x14>
tensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<266x1>>, >
shape: #ttnn.shape<1x1216x7x7>
tensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<546x1>>, >
shape: #ttnn.shape<1x1248x14x14>
tensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<273x1>>, >
shape: #ttnn.shape<1x1248x7x7>
tensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<351x1>>, >
shape: #ttnn.shape<1x1248x9x9>
tensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x40>>, >
shape: #ttnn.shape<1x1280>
tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<400x1>>, >
shape: #ttnn.shape<1x1280x10x10>
tensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<480x1>>, >
shape: #ttnn.shape<1x1280x12x12>
tensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<560x1>>, >
shape: #ttnn.shape<1x1280x14x14>
tensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x1280x16x16>
tensor<[1,1280,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x1>>, >
shape: #ttnn.shape<1x1280x32x32>
tensor<[1,1280,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x1280x7x7>
tensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x1>>, >
shape: #ttnn.shape<1x1280x9x9>
tensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x128>
tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x4>>, >
shape: #ttnn.shape<1x128x112x112>
tensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<1x128x128x128>
tensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x128x14x14>
tensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x5>>, >
shape: #ttnn.shape<1x128x150x150>
tensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<68x1>>, >
shape: #ttnn.shape<1x128x17x17>
tensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x10>>, >
shape: #ttnn.shape<1x128x180x320>
tensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x128x1x1>
tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x128x2x2>
tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x128x32x32>
tensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x1>>, >
shape: #ttnn.shape<1x128x3x3>
tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x2>>, >
shape: #ttnn.shape<1x128x56x56>
tensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x1>>, >
shape: #ttnn.shape<1x128x5x5>
tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x2>>, >
shape: #ttnn.shape<1x128x64x64>
tensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x3>>, >
shape: #ttnn.shape<1x128x75x75>
tensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x128x7x7>
tensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x5>>, >
shape: #ttnn.shape<1x128x90x160>
tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<5x4>>, >
shape: #ttnn.shape<1x12x12x128>
tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x12x1536>
tensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x128>
tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<97x9>>, >
shape: #ttnn.shape<1x12x257x257>
tensor<[1,12,257,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x12x3072>
tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x12x3072>
tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x12x3072>
tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x12x3072>
tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x2>>, >
shape: #ttnn.shape<1x12x56x56>
tensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x12x768>
tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x12x768>
tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x280>>, >
shape: #ttnn.shape<1x12x8960>
tensor<[1,12,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<574x1>>, >
shape: #ttnn.shape<1x1312x14x14>
tensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<287x1>>, >
shape: #ttnn.shape<1x1312x7x7>
tensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x1344x14x14>
tensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x1>>, >
shape: #ttnn.shape<1x1344x28x28>
tensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x1344x7x7>
tensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<118x1>>, >
shape: #ttnn.shape<1x134x28x28>
tensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<1x136x19x19>
tensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1x1370x1280>
tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1x1370x1280>
tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<602x1>>, >
shape: #ttnn.shape<1x1376x14x14>
tensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<301x1>>, >
shape: #ttnn.shape<1x1376x7x7>
tensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<435x1>>, >
shape: #ttnn.shape<1x1392x10x10>
tensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x1392x14x14>
tensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x1392x14x14>
tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1218x1>>, >
shape: #ttnn.shape<1x1392x28x28>
tensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13>
tensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x13x128>
tensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x13x1536>
tensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x592>>, >
shape: #ttnn.shape<1x13x18944>
tensor<[1,13,18944,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x112>>, >
shape: #ttnn.shape<1x13x3584>
tensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<616x1>>, >
shape: #ttnn.shape<1x1408x14x14>
tensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x1408x7x7>
tensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<630x1>>, >
shape: #ttnn.shape<1x1440x14x14>
tensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<315x1>>, >
shape: #ttnn.shape<1x1440x7x7>
tensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1x1445x192>
tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1x1445x192>
tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x144x14x14>
tensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<675x5>>, >
shape: #ttnn.shape<1x144x150x150>
tensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<855x6>>, >
shape: #ttnn.shape<1x144x190x190>
tensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x144x28x28>
tensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<135x1>>, >
shape: #ttnn.shape<1x144x30x30>
tensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<149x2>>, >
shape: #ttnn.shape<1x144x33x33>
tensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x2>>, >
shape: #ttnn.shape<1x144x56x56>
tensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<270x2>>, >
shape: #ttnn.shape<1x144x60x60>
tensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<293x3>>, >
shape: #ttnn.shape<1x144x65x65>
tensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<338x3>>, >
shape: #ttnn.shape<1x144x75x75>
tensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x144x7x7>
tensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<428x3>>, >
shape: #ttnn.shape<1x144x95x95>
tensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<644x1>>, >
shape: #ttnn.shape<1x1472x14x14>
tensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x1472x7x7>
tensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14>
tensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x14x128>
tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x14x128>
tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x14x14x1024>
tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x14x14x1024>
tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x14x14x512>
tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x14x14x512>
tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x14x1536>
tensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x14x3072>
tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x14x3072>
tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x14x3072>
tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x14x3072>
tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x2>>, >
shape: #ttnn.shape<1x14x56x56>
tensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x14x768>
tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x14x768>
tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1x1500x768>
tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1x1500x768>
tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<658x1>>, >
shape: #ttnn.shape<1x1504x14x14>
tensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<329x1>>, >
shape: #ttnn.shape<1x1504x7x7>
tensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<480x1>>, >
shape: #ttnn.shape<1x1536x10x10>
tensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<672x1>>, >
shape: #ttnn.shape<1x1536x14x14>
tensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x1536x7x7>
tensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<686x1>>, >
shape: #ttnn.shape<1x1568x14x14>
tensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<343x1>>, >
shape: #ttnn.shape<1x1568x7x7>
tensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15>
tensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x15x1024>
tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x15x1024>
tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x15x1024>
tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x15x1024>
tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x15x1536>
tensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x15x512>
tensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<700x1>>, >
shape: #ttnn.shape<1x1600x14x14>
tensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<350x1>>, >
shape: #ttnn.shape<1x1600x7x7>
tensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x160x14x14>
tensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x1>>, >
shape: #ttnn.shape<1x160x24x24>
tensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<140x1>>, >
shape: #ttnn.shape<1x160x28x28>
tensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x2>>, >
shape: #ttnn.shape<1x160x56x56>
tensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x160x7x7>
tensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<612x1>>, >
shape: #ttnn.shape<1x1632x12x12>
tensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<714x1>>, >
shape: #ttnn.shape<1x1632x14x14>
tensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<357x1>>, >
shape: #ttnn.shape<1x1632x7x7>
tensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x6>>, >
shape: #ttnn.shape<1x16384x192>
tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x6>>, >
shape: #ttnn.shape<1x16384x192>
tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x32>
tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x32>
tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x12>>, >
shape: #ttnn.shape<1x16384x384>
tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x12>>, >
shape: #ttnn.shape<1x16384x384>
tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x24>>, >
shape: #ttnn.shape<1x16384x768>
tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x24>>, >
shape: #ttnn.shape<1x16384x768>
tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<728x1>>, >
shape: #ttnn.shape<1x1664x14x14>
tensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x1664x7x7>
tensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x168x28x28>
tensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<742x1>>, >
shape: #ttnn.shape<1x1696x14x14>
tensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<371x1>>, >
shape: #ttnn.shape<1x1696x7x7>
tensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16>
tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x4>>, >
shape: #ttnn.shape<1x16x112x112>
tensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x4>>, >
shape: #ttnn.shape<1x16x120x120>
tensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<65x5>>, >
shape: #ttnn.shape<1x16x130x130>
tensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x16x14x14>
tensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x5>>, >
shape: #ttnn.shape<1x16x160x160>
tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x7>>, >
shape: #ttnn.shape<1x16x224x224>
tensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x16x28x28>
tensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x2>>, >
shape: #ttnn.shape<1x16x56x56>
tensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x16x768>
tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x16x768>
tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<756x1>>, >
shape: #ttnn.shape<1x1728x14x14>
tensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<378x1>>, >
shape: #ttnn.shape<1x1728x7x7>
tensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<770x1>>, >
shape: #ttnn.shape<1x1760x14x14>
tensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<385x1>>, >
shape: #ttnn.shape<1x1760x7x7>
tensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<784x1>>, >
shape: #ttnn.shape<1x1792x14x14>
tensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x1792x7x7>
tensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x17>
tensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<399x1>>, >
shape: #ttnn.shape<1x1824x7x7>
tensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<1x184x14x14>
tensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<1x184x14x14>
tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<115x1>>, >
shape: #ttnn.shape<1x184x20x20>
tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x184x7x7>
tensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x1>>, >
shape: #ttnn.shape<1x1856x7x7>
tensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<413x1>>, >
shape: #ttnn.shape<1x1888x7x7>
tensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x18>
tensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x18x14x14>
tensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x18x28x28>
tensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<1x18x56x56>
tensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x18x7x7>
tensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<1x19200x64>
tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<1x19200x64>
tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x1920x16x16>
tensor<[1,1920,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1920x1>>, >
shape: #ttnn.shape<1x1920x32x32>
tensor<[1,1920,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x1920x7x7>
tensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x192x14x14>
tensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x192x17x17>
tensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x192x28x28>
tensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x2>>, >
shape: #ttnn.shape<1x192x35x35>
tensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<228x2>>, >
shape: #ttnn.shape<1x192x38x38>
tensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<288x2>>, >
shape: #ttnn.shape<1x192x48x48>
tensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x2>>, >
shape: #ttnn.shape<1x192x56x56>
tensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<450x3>>, >
shape: #ttnn.shape<1x192x75x75>
tensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x1>>, >
shape: #ttnn.shape<1x192x7x7>
tensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x192x8x8>
tensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<570x3>>, >
shape: #ttnn.shape<1x192x95x95>
tensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<86x1>>, >
shape: #ttnn.shape<1x196x14x14>
tensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x196x768>
tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x196x768>
tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x197x1024>
tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x197x1024>
tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x197x768>
tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x197x768>
tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x19>
tensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x128>
tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1x1536>
tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x16x32>
tensor<[1,1,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x10>
tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x15>
tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x7>>, >
shape: #ttnn.shape<1x1x1x201>
tensor<[1,1,1,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x1x1x2048>
tensor<[1,1,1,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x8>
tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x7>>, >
shape: #ttnn.shape<1x1x224x224>
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x7>>, >
shape: #ttnn.shape<1x1x224x224>
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x7>>, >
shape: #ttnn.shape<1x1x224x224>
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x1x3072>
tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x1x3072>
tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x1x3072>
tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x1x3072>
tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x4096>
tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x4096>
tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x4096>
tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x4096>
tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x20>>, >
shape: #ttnn.shape<1x1x480x640>
tensor<[1,1,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x512>
tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x512>
tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x7x64>
tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x280>>, >
shape: #ttnn.shape<1x1x8960>
tensor<[1,1,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<88x1>>, >
shape: #ttnn.shape<1x200x14x14>
tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<88x1>>, >
shape: #ttnn.shape<1x200x14x14>
tensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<125x1>>, >
shape: #ttnn.shape<1x200x20x20>
tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x200x7x7>
tensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x201x768>
tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x201x768>
tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x2048x10x10>
tensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x1>>, >
shape: #ttnn.shape<1x2048x14x14>
tensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1472x2>>, >
shape: #ttnn.shape<1x2048x23x40>
tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<1x2048x768>
tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<1x2048x768>
tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x2048x7x7>
tensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<91x1>>, >
shape: #ttnn.shape<1x208x14x14>
tensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<59x1>>, >
shape: #ttnn.shape<1x208x9x9>
tensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20>
tensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x20x28x28>
tensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x683>>, >
shape: #ttnn.shape<1x21843>
tensor<[1,21843,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x21>
tensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x1>>, >
shape: #ttnn.shape<1x224x14x14>
tensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<119x1>>, >
shape: #ttnn.shape<1x224x17x17>
tensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x224x28x28>
tensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<245x2>>, >
shape: #ttnn.shape<1x224x35x35>
tensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x2>>, >
shape: #ttnn.shape<1x224x56x56>
tensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x224x7x7>
tensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x22>
tensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<73x1>>, >
shape: #ttnn.shape<1x232x10x10>
tensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<812x4>>, >
shape: #ttnn.shape<1x232x112x112>
tensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x2>>, >
shape: #ttnn.shape<1x232x56x56>
tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x2>>, >
shape: #ttnn.shape<1x232x56x56>
tensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x23>
tensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x240x14x14>
tensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<113x1>>, >
shape: #ttnn.shape<1x240x15x15>
tensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x240x20x20>
tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x240x28x28>
tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x240x28x28>
tensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<225x1>>, >
shape: #ttnn.shape<1x240x30x30>
tensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x2>>, >
shape: #ttnn.shape<1x240x40x40>
tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24>
tensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x4>>, >
shape: #ttnn.shape<1x24x112x112>
tensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x24x14x14>
tensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<113x5>>, >
shape: #ttnn.shape<1x24x150x150>
tensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<143x6>>, >
shape: #ttnn.shape<1x24x190x190>
tensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x24x28x28>
tensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x4>>, >
shape: #ttnn.shape<1x24x32x128>
tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x2>>, >
shape: #ttnn.shape<1x24x56x56>
tensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<45x2>>, >
shape: #ttnn.shape<1x24x60x60>
tensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x3>>, >
shape: #ttnn.shape<1x24x65x65>
tensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x3>>, >
shape: #ttnn.shape<1x24x80x80>
tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1103x1>>, >
shape: #ttnn.shape<1x2520x14x14>
tensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<552x1>>, >
shape: #ttnn.shape<1x2520x7x7>
tensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x1>>, >
shape: #ttnn.shape<1x2560x16x16>
tensor<[1,2560,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x2560x8x8>
tensor<[1,2560,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x8>>, >
shape: #ttnn.shape<1x256>
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<1x256x1024>
tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<1x256x1024>
tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x256x10x10>
tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<1x256x1280>
tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<1x256x1280>
tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x4>>, >
shape: #ttnn.shape<1x256x128x128>
tensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x256x14x14>
tensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x48>>, >
shape: #ttnn.shape<1x256x1536>
tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x48>>, >
shape: #ttnn.shape<1x256x1536>
tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x5>>, >
shape: #ttnn.shape<1x256x160>
tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x5>>, >
shape: #ttnn.shape<1x256x160>
tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x256x16x16>
tensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<136x1>>, >
shape: #ttnn.shape<1x256x17x17>
tensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x10>>, >
shape: #ttnn.shape<1x256x180x320>
tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x256x256>
tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x256x256>
tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x256x28x28>
tensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x256x2x2>
tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x96>>, >
shape: #ttnn.shape<1x256x3072>
tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x96>>, >
shape: #ttnn.shape<1x256x3072>
tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x32>
tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x32>
tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x256x32x32>
tensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<304x2>>, >
shape: #ttnn.shape<1x256x38x38>
tensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x256x3x3>
tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x3>>, >
shape: #ttnn.shape<1x256x45x80>
tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x160>>, >
shape: #ttnn.shape<1x256x5120>
tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<1x256x512>
tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<1x256x512>
tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x2>>, >
shape: #ttnn.shape<1x256x56x56>
tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x2>>, >
shape: #ttnn.shape<1x256x56x56>
tensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x256x5x5>
tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x256x64>
tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x256x64>
tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x2>>, >
shape: #ttnn.shape<1x256x64x64>
tensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x3>>, >
shape: #ttnn.shape<1x256x75x75>
tensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x256x7x7>
tensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x256x8x8>
tensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x5>>, >
shape: #ttnn.shape<1x256x90x160>
tensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<1x257x768>
tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<1x257x768>
tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25>
tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x25x768>
tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x25x768>
tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x26>
tensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x272x12x12>
tensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x1>>, >
shape: #ttnn.shape<1x272x7x7>
tensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27>
tensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x27x768>
tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x27x768>
tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x288x14x14>
tensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<153x1>>, >
shape: #ttnn.shape<1x288x17x17>
tensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<171x1>>, >
shape: #ttnn.shape<1x288x19x19>
tensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x288x28x28>
tensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<297x2>>, >
shape: #ttnn.shape<1x288x33x33>
tensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<342x2>>, >
shape: #ttnn.shape<1x288x38x38>
tensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x28>
tensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x4>>, >
shape: #ttnn.shape<1x28x13x128>
tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<1x28x28x256>
tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<1x28x28x256>
tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x28x28x28>
tensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x16>>, >
shape: #ttnn.shape<1x28x28x512>
tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x16>>, >
shape: #ttnn.shape<1x28x28x512>
tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x29>
tensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x2>
tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x2x12x128>
tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x2x1x128>
tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x4>>, >
shape: #ttnn.shape<1x300x128>
tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x4>>, >
shape: #ttnn.shape<1x300x128>
tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x10>>, >
shape: #ttnn.shape<1x300x320>
tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x10>>, >
shape: #ttnn.shape<1x300x320>
tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<1x300x512>
tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<1x300x512>
tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<1x300x64>
tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<1x300x64>
tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x3072>
tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x10>
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x10>
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x10>
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x3072x10x16>
tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x3072x10x16>
tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x11>
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x11>
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x11>
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1056x1>>, >
shape: #ttnn.shape<1x3072x11x16>
tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1056x1>>, >
shape: #ttnn.shape<1x3072x11x16>
tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x12>
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x12>
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x12>
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1152x1>>, >
shape: #ttnn.shape<1x3072x12x16>
tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1152x1>>, >
shape: #ttnn.shape<1x3072x12x16>
tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x13>
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x13>
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x13>
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1248x1>>, >
shape: #ttnn.shape<1x3072x13x16>
tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1248x1>>, >
shape: #ttnn.shape<1x3072x13x16>
tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x14>
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x14>
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x14>
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1344x1>>, >
shape: #ttnn.shape<1x3072x14x16>
tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1344x1>>, >
shape: #ttnn.shape<1x3072x14x16>
tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x15>
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x15>
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x15>
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x1>>, >
shape: #ttnn.shape<1x3072x15x16>
tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x1>>, >
shape: #ttnn.shape<1x3072x15x16>
tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x16>
tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x3072x10x16>
tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1056x1>>, >
shape: #ttnn.shape<1x3072x11x16>
tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1152x1>>, >
shape: #ttnn.shape<1x3072x12x16>
tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1248x1>>, >
shape: #ttnn.shape<1x3072x13x16>
tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1344x1>>, >
shape: #ttnn.shape<1x3072x14x16>
tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x1>>, >
shape: #ttnn.shape<1x3072x15x16>
tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<576x1>>, >
shape: #ttnn.shape<1x3072x6x16>
tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<672x1>>, >
shape: #ttnn.shape<1x3072x7x16>
tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x1>>, >
shape: #ttnn.shape<1x3072x8x16>
tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<864x1>>, >
shape: #ttnn.shape<1x3072x9x16>
tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x6>
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x6>
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x6>
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<576x1>>, >
shape: #ttnn.shape<1x3072x6x16>
tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<576x1>>, >
shape: #ttnn.shape<1x3072x6x16>
tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x7>
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x7>
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x7>
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<672x1>>, >
shape: #ttnn.shape<1x3072x7x16>
tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<672x1>>, >
shape: #ttnn.shape<1x3072x7x16>
tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x1>>, >
shape: #ttnn.shape<1x3072x8x16>
tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<768x1>>, >
shape: #ttnn.shape<1x3072x8x16>
tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x9>
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x9>
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x9>
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<864x1>>, >
shape: #ttnn.shape<1x3072x9x16>
tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<864x1>>, >
shape: #ttnn.shape<1x3072x9x16>
tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x98>>, >
shape: #ttnn.shape<1x3129>
tensor<[1,3129,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<140x1>>, >
shape: #ttnn.shape<1x320x14x14>
tensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<170x1>>, >
shape: #ttnn.shape<1x320x17x17>
tensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x320x28x28>
tensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x320x32x32>
tensor<[1,320,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x320x7x7>
tensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x320x8x8>
tensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32>
tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x32>>, >
shape: #ttnn.shape<1x32x10x1024>
tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x128>>, >
shape: #ttnn.shape<1x32x10x4096>
tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x344>>, >
shape: #ttnn.shape<1x32x11008>
tensor<[1,32,11008,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x4>>, >
shape: #ttnn.shape<1x32x112x112>
tensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x4>>, >
shape: #ttnn.shape<1x32x120x120>
tensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x5>>, >
shape: #ttnn.shape<1x32x120x160>
tensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x32x128>
tensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x4>>, >
shape: #ttnn.shape<1x32x128x128>
tensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<130x5>>, >
shape: #ttnn.shape<1x32x130x130>
tensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x5>>, >
shape: #ttnn.shape<1x32x147x147>
tensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<149x5>>, >
shape: #ttnn.shape<1x32x149x149>
tensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x32x14x14>
tensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x5>>, >
shape: #ttnn.shape<1x32x150x150>
tensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x32x1536>
tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x32x1536>
tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<190x6>>, >
shape: #ttnn.shape<1x32x190x190>
tensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x32>>, >
shape: #ttnn.shape<1x32x20x1024>
tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x8>>, >
shape: #ttnn.shape<1x32x20x256>
tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x128>>, >
shape: #ttnn.shape<1x32x20x4096>
tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x8>>, >
shape: #ttnn.shape<1x32x256x256>
tensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x32x28x28>
tensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x32x3072>
tensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x32>>, >
shape: #ttnn.shape<1x32x30x1024>
tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x128>>, >
shape: #ttnn.shape<1x32x30x4096>
tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x2>>, >
shape: #ttnn.shape<1x32x30x40>
tensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x4>>, >
shape: #ttnn.shape<1x32x32x128>
tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x32x4096>
tensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x32>>, >
shape: #ttnn.shape<1x32x40x1024>
tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x8>>, >
shape: #ttnn.shape<1x32x40x256>
tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x2>>, >
shape: #ttnn.shape<1x32x40x64>
tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x32x49x32>
tensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x16>>, >
shape: #ttnn.shape<1x32x512x512>
tensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x2>>, >
shape: #ttnn.shape<1x32x56x56>
tensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x32>>, >
shape: #ttnn.shape<1x32x60x1024>
tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x8>>, >
shape: #ttnn.shape<1x32x60x256>
tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x3>>, >
shape: #ttnn.shape<1x32x60x80>
tensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<1x32x6144>
tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<1x32x6144>
tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<1x32x6144>
tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<1x32x6144>
tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<75x3>>, >
shape: #ttnn.shape<1x32x75x75>
tensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x32x7x7>
tensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x8>>, >
shape: #ttnn.shape<1x32x80x256>
tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x2>>, >
shape: #ttnn.shape<1x32x80x64>
tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x32x8192>
tensor<[1,32,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<95x3>>, >
shape: #ttnn.shape<1x32x95x95>
tensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x334x14x14>
tensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x4>>, >
shape: #ttnn.shape<1x336x112x112>
tensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x336x14x14>
tensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x336x24x24>
tensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x2>>, >
shape: #ttnn.shape<1x336x48x48>
tensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x2>>, >
shape: #ttnn.shape<1x336x56x56>
tensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x34x28x28>
tensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<154x1>>, >
shape: #ttnn.shape<1x352x14x14>
tensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x352x28x28>
tensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<99x1>>, >
shape: #ttnn.shape<1x352x9x9>
tensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x36x14x14>
tensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x36x28x28>
tensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x2>>, >
shape: #ttnn.shape<1x36x56x56>
tensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x36x7x7>
tensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1624x1>>, >
shape: #ttnn.shape<1x3712x14x14>
tensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<812x1>>, >
shape: #ttnn.shape<1x3712x7x7>
tensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<812x1>>, >
shape: #ttnn.shape<1x3712x7x7>
tensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x1>>, >
shape: #ttnn.shape<1x384x10x10>
tensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x384x14x14>
tensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<204x1>>, >
shape: #ttnn.shape<1x384x17x17>
tensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x384x28x28>
tensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x384x7x7>
tensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x384x8x8>
tensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x3>
tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x3x16x16x2>
tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x3x16x16x2>
tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x3x16x16x2>
tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3x32x32x2>
tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3x32x32x2>
tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3x32x32x2>
tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<384x1>>, >
shape: #ttnn.shape<1x3x64x64x2>
tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<384x1>>, >
shape: #ttnn.shape<1x3x64x64x2>
tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<384x1>>, >
shape: #ttnn.shape<1x3x64x64x2>
tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x4096>
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x40>>, >
shape: #ttnn.shape<1x4096x1280>
tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x48>>, >
shape: #ttnn.shape<1x4096x1536>
tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x48>>, >
shape: #ttnn.shape<1x4096x1536>
tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<1x4096x320>
tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<1x4096x320>
tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x12>>, >
shape: #ttnn.shape<1x4096x384>
tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x12>>, >
shape: #ttnn.shape<1x4096x384>
tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x4096x64>
tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x4096x64>
tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<1x4096x768>
tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<1x4096x768>
tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x40x14x14>
tensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x40x28x28>
tensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x40x30x30>
tensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x2>>, >
shape: #ttnn.shape<1x40x40x40>
tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x2>>, >
shape: #ttnn.shape<1x40x56x56>
tensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<182x1>>, >
shape: #ttnn.shape<1x416x14x14>
tensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x416x28x28>
tensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x448x12x12>
tensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x448x14x14>
tensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x448x28x28>
tensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x448x8x8>
tensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x45x3072>
tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x45x3072>
tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x45x3072>
tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x45x3072>
tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x45x768>
tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x45x768>
tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x462x7x7>
tensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x46>
tensor<[1,46,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x46x28x28>
tensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x47>
tensor<[1,47,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x4>>, >
shape: #ttnn.shape<1x4800x128>
tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x4>>, >
shape: #ttnn.shape<1x4800x128>
tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x480x10x10>
tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<225x1>>, >
shape: #ttnn.shape<1x480x15x15>
tensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x480x10x10>
tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x1>>, >
shape: #ttnn.shape<1x480x20x20>
tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x1>>, >
shape: #ttnn.shape<1x480x20x20>
tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x480x28x28>
tensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x480x7x7>
tensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x48>
tensor<[1,48,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x48x14x14>
tensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x2>>, >
shape: #ttnn.shape<1x48x33x33>
tensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<57x2>>, >
shape: #ttnn.shape<1x48x38x38>
tensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x2>>, >
shape: #ttnn.shape<1x48x56x56>
tensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x48x7x7>
tensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x49>
tensor<[1,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x4>>, >
shape: #ttnn.shape<1x4x13x128>
tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x50>
tensor<[1,50,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x50x3072>
tensor<[1,50,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x50x3072>
tensor<[1,50,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x50x768>
tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x50x768>
tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1600>>, >
shape: #ttnn.shape<1x51200>
tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x512x16x16>
tensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<368x2>>, >
shape: #ttnn.shape<1x512x23x40>
tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x512x28x28>
tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x512x28x28>
tensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x512x32x32>
tensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x3>>, >
shape: #ttnn.shape<1x512x45x80>
tensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x2>>, >
shape: #ttnn.shape<1x512x56x56>
tensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x512x5x5>
tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x512x7x7>
tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x512x8x8>
tensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x5>>, >
shape: #ttnn.shape<1x512x90x160>
tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x51>
tensor<[1,51,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<281x1>>, >
shape: #ttnn.shape<1x528x17x17>
tensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x52>
tensor<[1,52,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x53>
tensor<[1,53,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x544x14x14>
tensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x54>
tensor<[1,54,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x55>
tensor<[1,55,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x56>
tensor<[1,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x56x14x14>
tensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x2>>, >
shape: #ttnn.shape<1x56x48x48>
tensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<1x56x56x128>
tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<1x56x56x128>
tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x576x14x14>
tensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<342x1>>, >
shape: #ttnn.shape<1x576x19x19>
tensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x576x7x7>
tensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x57>
tensor<[1,57,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x58>
tensor<[1,58,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<51x1>>, >
shape: #ttnn.shape<1x58x28x28>
tensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x59>
tensor<[1,59,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x5x1024>
tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x5x1024>
tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x5x16x32>
tensor<[1,5,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x5x4096>
tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x5x4096>
tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x5x4096>
tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x5x4096>
tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<266x1>>, >
shape: #ttnn.shape<1x608x14x14>
tensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x60>
tensor<[1,60,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x60x28x28>
tensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x61>
tensor<[1,61,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x62>
tensor<[1,62,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x63>
tensor<[1,63,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x640x14x14>
tensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x640x16x16>
tensor<[1,640,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x2>>, >
shape: #ttnn.shape<1x640x64x64>
tensor<[1,640,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x64>
tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x64>
tensor<[1,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x4>>, >
shape: #ttnn.shape<1x64x112x112>
tensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x5>>, >
shape: #ttnn.shape<1x64x120x160>
tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x5>>, >
shape: #ttnn.shape<1x64x120x160>
tensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<1x64x1280>
tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<1x64x1280>
tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x4>>, >
shape: #ttnn.shape<1x64x128x128>
tensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x5>>, >
shape: #ttnn.shape<1x64x147x147>
tensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x64x14x14>
tensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x5>>, >
shape: #ttnn.shape<1x64x150x150>
tensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x5>>, >
shape: #ttnn.shape<1x64x160x160>
tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x10>>, >
shape: #ttnn.shape<1x64x180x320>
tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x1x1>
tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x7>>, >
shape: #ttnn.shape<1x64x224x224>
tensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x64x256x256>
tensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x64x28x28>
tensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x64x2x2>
tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x2>>, >
shape: #ttnn.shape<1x64x30x40>
tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x2>>, >
shape: #ttnn.shape<1x64x30x40>
tensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x2>>, >
shape: #ttnn.shape<1x64x35x35>
tensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x20>>, >
shape: #ttnn.shape<1x64x360x640>
tensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x160>>, >
shape: #ttnn.shape<1x64x5120>
tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x2>>, >
shape: #ttnn.shape<1x64x56x56>
tensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x3>>, >
shape: #ttnn.shape<1x64x60x80>
tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x3>>, >
shape: #ttnn.shape<1x64x60x80>
tensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x64x64x64>
tensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<146x3>>, >
shape: #ttnn.shape<1x64x73x73>
tensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<160x3>>, >
shape: #ttnn.shape<1x64x80x80>
tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >
shape: #ttnn.shape<1x65536x192>
tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >
shape: #ttnn.shape<1x65536x192>
tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x65>
tensor<[1,65,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x66>
tensor<[1,66,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x672x10x10>
tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<315x1>>, >
shape: #ttnn.shape<1x672x15x15>
tensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x672x10x10>
tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x672x20x20>
tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x672x7x7>
tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x672x20x20>
tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x1>>, >
shape: #ttnn.shape<1x672x24x24>
tensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x672x28x28>
tensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x2>>, >
shape: #ttnn.shape<1x672x56x56>
tensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x672x7x7>
tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x672x7x7>
tensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x672x8x8>
tensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x67>
tensor<[1,67,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x68>
tensor<[1,68,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x68x14x14>
tensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<119x2>>, >
shape: #ttnn.shape<1x68x56x56>
tensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x696x28x28>
tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x696x28x28>
tensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1218x2>>, >
shape: #ttnn.shape<1x696x56x56>
tensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x69>
tensor<[1,69,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6>
tensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x6x1024>
tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x6x1024>
tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x6x1024>
tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x6x1536>
tensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x704x14x14>
tensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x70>
tensor<[1,70,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x71>
tensor<[1,71,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x2>>, >
shape: #ttnn.shape<1x71x7x64>
tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<383x1>>, >
shape: #ttnn.shape<1x720x17x17>
tensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<203x1>>, >
shape: #ttnn.shape<1x720x9x9>
tensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<433x1>>, >
shape: #ttnn.shape<1x728x19x19>
tensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<865x2>>, >
shape: #ttnn.shape<1x728x38x38>
tensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x72>
tensor<[1,72,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x72x14x14>
tensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x72x28x28>
tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<90x2>>, >
shape: #ttnn.shape<1x72x40x40>
tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x72x28x28>
tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x72x28x28>
tensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<90x2>>, >
shape: #ttnn.shape<1x72x40x40>
tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x2>>, >
shape: #ttnn.shape<1x72x56x56>
tensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x2>>, >
shape: #ttnn.shape<1x72x56x56>
tensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x72x7x7>
tensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<180x3>>, >
shape: #ttnn.shape<1x72x80x80>
tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x736x14x14>
tensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x73>
tensor<[1,73,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x74>
tensor<[1,74,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x75>
tensor<[1,75,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x768>
tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x768>
tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x768>
tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x768x14x14>
tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x768x14x14>
tensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x76>
tensor<[1,76,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x77>
tensor<[1,77,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x25>>, >
shape: #ttnn.shape<1x784>
tensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x78>
tensor<[1,78,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<69x1>>, >
shape: #ttnn.shape<1x78x28x28>
tensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x79>
tensor<[1,79,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7>
tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x7x1536>
tensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x7x3072>
tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x7x3072>
tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x7x3072>
tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x7x3072>
tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x142>>, >
shape: #ttnn.shape<1x7x4544>
tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x142>>, >
shape: #ttnn.shape<1x7x4544>
tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x7x768>
tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x7x768>
tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<1x7x7x1024>
tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<1x7x7x1024>
tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x64>>, >
shape: #ttnn.shape<1x7x7x2048>
tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x64>>, >
shape: #ttnn.shape<1x7x7x2048>
tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<350x1>>, >
shape: #ttnn.shape<1x800x14x14>
tensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x80>
tensor<[1,80,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x80x10x10>
tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x80x14x14>
tensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x80x15x15>
tensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x1>>, >
shape: #ttnn.shape<1x80x20x20>
tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x80x7x7>
tensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<255x1>>, >
shape: #ttnn.shape<1x816x10x10>
tensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<485x1>>, >
shape: #ttnn.shape<1x816x19x19>
tensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x81>
tensor<[1,81,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x82>
tensor<[1,82,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x832x14x14>
tensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x83>
tensor<[1,83,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x84>
tensor<[1,84,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x85>
tensor<[1,85,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<378x1>>, >
shape: #ttnn.shape<1x864x14x14>
tensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x86>
tensor<[1,86,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x87>
tensor<[1,87,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x88>
tensor<[1,88,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x1>>, >
shape: #ttnn.shape<1x88x17x17>
tensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x896x14x14>
tensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x896x7x7>
tensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x89>
tensor<[1,89,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8>
tensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x4>>, >
shape: #ttnn.shape<1x8x112x112>
tensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x8x1536>
tensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x4>>, >
shape: #ttnn.shape<1x8x32x128>
tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x8x768>
tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x8x768>
tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x90>
tensor<[1,90,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x91>
tensor<[1,91,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x1>>, >
shape: #ttnn.shape<1x928x14x14>
tensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<203x1>>, >
shape: #ttnn.shape<1x928x7x7>
tensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x92>
tensor<[1,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x92x14x14>
tensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x93>
tensor<[1,93,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x94>
tensor<[1,94,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x95>
tensor<[1,95,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x1>>, >
shape: #ttnn.shape<1x960x12x12>
tensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x960x14x14>
tensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x1>>, >
shape: #ttnn.shape<1x960x24x24>
tensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x960x32x32>
tensor<[1,960,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<90x1>>, >
shape: #ttnn.shape<1x960x3x3>
tensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1920x2>>, >
shape: #ttnn.shape<1x960x64x64>
tensor<[1,960,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x96>
tensor<[1,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x4>>, >
shape: #ttnn.shape<1x96x112x112>
tensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x4>>, >
shape: #ttnn.shape<1x96x120x120>
tensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<390x5>>, >
shape: #ttnn.shape<1x96x130x130>
tensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x1>>, >
shape: #ttnn.shape<1x96x14x14>
tensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<57x1>>, >
shape: #ttnn.shape<1x96x19x19>
tensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x96x28x28>
tensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x2>>, >
shape: #ttnn.shape<1x96x35x35>
tensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x2>>, >
shape: #ttnn.shape<1x96x56x56>
tensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<180x2>>, >
shape: #ttnn.shape<1x96x60x60>
tensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<195x3>>, >
shape: #ttnn.shape<1x96x65x65>
tensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<213x3>>, >
shape: #ttnn.shape<1x96x71x71>
tensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<219x3>>, >
shape: #ttnn.shape<1x96x73x73>
tensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x97>
tensor<[1,97,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x98>
tensor<[1,98,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<86x1>>, >
shape: #ttnn.shape<1x98x28x28>
tensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<434x1>>, >
shape: #ttnn.shape<1x992x14x14>
tensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<217x1>>, >
shape: #ttnn.shape<1x992x7x7>
tensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x99>
tensor<[1,99,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9>
tensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x9x1024>
tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x9x1024>
tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x9x1536>
tensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<1x9x16384>
tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<1x9x16384>
tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<1x9x16384>
tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<1x9x16384>
tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x9x2048>
tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x9x2048>
tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x9x3072>
tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x9x3072>
tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x9x3072>
tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x9x3072>
tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x9x768>
tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x9x768>
tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x9x8192>
tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x9x8192>
tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x9x8192>
tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x9x8192>
tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<201x3072>
tensor<[201,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<201x768>
tensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x40>>, >
shape: #ttnn.shape<2048x1280>
tensor<[2048,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x8>>, >
shape: #ttnn.shape<2048x256>
tensor<[2048,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<2048x768>
tensor<[2048,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x8>>, >
shape: #ttnn.shape<256>
tensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x320>>, >
shape: #ttnn.shape<256x10240>
tensor<[256,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<256x1024>
tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<256x1280>
tensor<[256,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x48>>, >
shape: #ttnn.shape<256x1536>
tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x5>>, >
shape: #ttnn.shape<256x160>
tensor<[256,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<256x256>
tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<256x2>
tensor<[256,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<256x32>
tensor<[256,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x128>>, >
shape: #ttnn.shape<256x4096>
tensor<[256,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<256x512>
tensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x192>>, >
shape: #ttnn.shape<256x6144>
tensor<[256,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<256x64>
tensor<[256,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x24>>, >
shape: #ttnn.shape<256x768>
tensor<[256,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x72>>, >
shape: #ttnn.shape<257x2304>
tensor<[257,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x96>>, >
shape: #ttnn.shape<257x3072>
tensor<[257,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<257x768>
tensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<25x2>
tensor<[25,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<25x3072>
tensor<[25,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<25x768>
tensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x954>>, >
shape: #ttnn.shape<27x30522>
tensor<[27,30522,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<27x38>
tensor<[27,38,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1571>>, >
shape: #ttnn.shape<27x50257>
tensor<[27,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2>
tensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<2x13x768>
tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x1>
tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x1x1x13>
tensor<[2,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<2x7x2048>
tensor<[2,7,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<2x7x2048>
tensor<[2,7,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x7x512>
tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x7x512>
tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x4>>, >
shape: #ttnn.shape<300x128>
tensor<[300,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x64>>, >
shape: #ttnn.shape<300x2048>
tensor<[300,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x10>>, >
shape: #ttnn.shape<300x320>
tensor<[300,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<300x512>
tensor<[300,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<300x64>
tensor<[300,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x32x3072>
tensor<[1,32,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<3136x128>
tensor<[3136,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x12>>, >
shape: #ttnn.shape<3136x384>
tensor<[3136,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x102>>, >
shape: #ttnn.shape<3234>
tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<32x1536>
tensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<32x32>
tensor<[32,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x144>>, >
shape: #ttnn.shape<32x4608>
tensor<[32,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<32x6144>
tensor<[32,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x112>>, >
shape: #ttnn.shape<3584>
tensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x112>>, >
shape: #ttnn.shape<1x13x3584>
tensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1944x1>>, >
shape: #ttnn.shape<36x12x144x32>
tensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3888x1>>, >
shape: #ttnn.shape<36x24x144x32>
tensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<4096>
tensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x32x4096>
tensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x48>>, >
shape: #ttnn.shape<4096x1536>
tensor<[4096,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x80>>, >
shape: #ttnn.shape<4096x2560>
tensor<[4096,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x8>>, >
shape: #ttnn.shape<4096x256>
tensor<[4096,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x96>>, >
shape: #ttnn.shape<4096x3072>
tensor<[4096,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<4096x320>
tensor<[4096,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x12>>, >
shape: #ttnn.shape<4096x384>
tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<4096x64>
tensor<[4096,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<4096x768>
tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<45x3072>
tensor<[45,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<45x45>
tensor<[45,45,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<45x768>
tensor<[45,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x4>>, >
shape: #ttnn.shape<4800x128>
tensor<[4800,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x16>>, >
shape: #ttnn.shape<4800x512>
tensor<[4800,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<13068x1>>, >
shape: #ttnn.shape<484x6x144x32>
tensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<49x1024>
tensor<[49,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<49x3072>
tensor<[49,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<4x13x1024>
tensor<[4,13,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x1>>, >
shape: #ttnn.shape<4x16x49x32>
tensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<4x1x1024>
tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<4x1x1024>
tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<4x1x1024>
tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<864x1>>, >
shape: #ttnn.shape<4x48x144x32>
tensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<50x3072>
tensor<[50,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<50x768>
tensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1600>>, >
shape: #ttnn.shape<51200>
tensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<512>
tensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x10x512>
tensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x15x512>
tensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x512>
tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x36>>, >
shape: #ttnn.shape<5184x1152>
tensor<[5184,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x72>>, >
shape: #ttnn.shape<5184x2304>
tensor<[5184,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x12>>, >
shape: #ttnn.shape<5184x384>
tensor<[5184,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x24>>, >
shape: #ttnn.shape<5184x768>
tensor<[5184,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<52x1024>
tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x48>>, >
shape: #ttnn.shape<576x1536>
tensor<[576,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x144>>, >
shape: #ttnn.shape<576x4608>
tensor<[576,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<5x1024>
tensor<[5,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<5x4096>
tensor<[5,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1600>>, >
shape: #ttnn.shape<5x51200>
tensor<[5,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5x5>
tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x320>>, >
shape: #ttnn.shape<64x10240>
tensor<[64,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<64x1280>
tensor<[64,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<64x4x49x32>
tensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >
shape: #ttnn.shape<65536x192>
tensor<[65536,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x24>>, >
shape: #ttnn.shape<65536x768>
tensor<[65536,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2178x6>>, >
shape: #ttnn.shape<69696x192>
tensor<[69696,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2178x18>>, >
shape: #ttnn.shape<69696x576>
tensor<[69696,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<6x1024>
tensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<6x4096>
tensor<[6,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x197x768>
tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<2x13x768>
tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x7>>, >
shape: #ttnn.shape<768x196>
tensor<[768,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<784x256>
tensor<[784,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x24>>, >
shape: #ttnn.shape<784x768>
tensor<[784,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x72>>, >
shape: #ttnn.shape<7x2304>
tensor<[7,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<7x3072>
tensor<[7,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<7x768>
tensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<8x100x32>
tensor<[8,100,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<8x2048>
tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<230x1>>, >
shape: #ttnn.shape<8x920x32>
tensor<[8,920,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x8>>, >
shape: #ttnn.shape<920x1x256>
tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x8>>, >
shape: #ttnn.shape<920x1x256>
tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x64>>, >
shape: #ttnn.shape<920x2048>
tensor<[920,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x8>>, >
shape: #ttnn.shape<920x256>
tensor<[920,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<9x1024>
tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<9x128>
tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<9x16384>
tensor<[9,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<9x2048>
tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<972x1>>, >
shape: #ttnn.shape<9x24x144x32>
tensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x938>>, >
shape: #ttnn.shape<9x30000>
tensor<[9,30000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<9x3072>
tensor<[9,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<9x4096>
tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1944x1>>, >
shape: #ttnn.shape<9x48x144x32>
tensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<9x768>
tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<9x8192>
tensor<[9,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1>
tensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1>
tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x2>>, >
shape: #ttnn.shape<4x49x49>
tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x2>>, >
shape: #ttnn.shape<64x49x49>
tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x2>
tensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x2>
tensor<[8,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x64>
tensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x16x16>
tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x7x32>
tensor<[1,1,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x2>>, >
shape: #ttnn.shape<1x24x32x64>
tensor<[1,24,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x2>>, >
shape: #ttnn.shape<1x28x13x64>
tensor<[1,28,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x2x12x64>
tensor<[1,2,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x2x1x64>
tensor<[1,2,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<1x32x32x64>
tensor<[1,32,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x4x13x64>
tensor<[1,4,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<3x1>>, >
shape: #ttnn.shape<1x5x16x16>
tensor<[1,5,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x71x7x32>
tensor<[1,71,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x8x32x64>
tensor<[1,8,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<3072x16>
tensor<[3072,16,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x10x1536>
tensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x10x512>
tensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x11x1536>
tensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x12x1536>
tensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x12x3072>
tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x13x1536>
tensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x112>>, >
shape: #ttnn.shape<1x13x3584>
tensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x14x1536>
tensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x14x3072>
tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x15x1024>
tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x15x1536>
tensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x15x512>
tensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1x1536>
tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x1x3072>
tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x4096>
tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x512>
tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x32x3072>
tensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x32x4096>
tensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x3x16x16x2>
tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3x32x32x2>
tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<384x1>>, >
shape: #ttnn.shape<1x3x64x64x2>
tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x45x3072>
tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x512>
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x5x4096>
tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x6x1536>
tensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x7x1536>
tensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x7x3072>
tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x8x1536>
tensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x9x1536>
tensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<1x9x16384>
tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x9x3072>
tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x9x8192>
tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<2x13x768>
tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x1>
tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x512>
tensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x100x14x14>
tensor<[1,100,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x6>>, >
shape: #ttnn.shape<1x100x192>
tensor<[1,100,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1024x10x10>
tensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x1024x14x14>
tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<608x1>>, >
shape: #ttnn.shape<1x1024x19x19>
tensor<[1,1024,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x1>>, >
shape: #ttnn.shape<1x1024x28x28>
tensor<[1,1024,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x3>>, >
shape: #ttnn.shape<1x1024x45x80>
tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x1024x7x7>
tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<462x1>>, >
shape: #ttnn.shape<1x1056x14x14>
tensor<[1,1056,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<231x1>>, >
shape: #ttnn.shape<1x1056x7x7>
tensor<[1,1056,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<476x1>>, >
shape: #ttnn.shape<1x1088x14x14>
tensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x1088x7x7>
tensor<[1,1088,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x10x2048>
tensor<[1,10,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x10x3072>
tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x10x4096>
tensor<[1,10,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<490x1>>, >
shape: #ttnn.shape<1x1120x14x14>
tensor<[1,1120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<245x1>>, >
shape: #ttnn.shape<1x1120x7x7>
tensor<[1,1120,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x112x14x14>
tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x1>>, >
shape: #ttnn.shape<1x1152x14x14>
tensor<[1,1152,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x1152x7x7>
tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<518x1>>, >
shape: #ttnn.shape<1x1184x14x14>
tensor<[1,1184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<259x1>>, >
shape: #ttnn.shape<1x1184x7x7>
tensor<[1,1184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x120x1x1>
tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x120x28x28>
tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x2>>, >
shape: #ttnn.shape<1x120x40x40>
tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<532x1>>, >
shape: #ttnn.shape<1x1216x14x14>
tensor<[1,1216,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<266x1>>, >
shape: #ttnn.shape<1x1216x7x7>
tensor<[1,1216,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<546x1>>, >
shape: #ttnn.shape<1x1248x14x14>
tensor<[1,1248,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<273x1>>, >
shape: #ttnn.shape<1x1248x7x7>
tensor<[1,1248,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x128>
tensor<[1,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<560x1>>, >
shape: #ttnn.shape<1x1280x14x14>
tensor<[1,1280,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x1280x1x1>
tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x1280x7x7>
tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x4>>, >
shape: #ttnn.shape<1x128x112x112>
tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x128x14x14>
tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x5>>, >
shape: #ttnn.shape<1x128x150x150>
tensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<68x1>>, >
shape: #ttnn.shape<1x128x17x17>
tensor<[1,128,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x10>>, >
shape: #ttnn.shape<1x128x180x320>
tensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x2>>, >
shape: #ttnn.shape<1x128x56x56>
tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x2>>, >
shape: #ttnn.shape<1x128x64x64>
tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x3>>, >
shape: #ttnn.shape<1x128x75x75>
tensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x128x7x7>
tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x5>>, >
shape: #ttnn.shape<1x128x90x160>
tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<574x1>>, >
shape: #ttnn.shape<1x1312x14x14>
tensor<[1,1312,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<287x1>>, >
shape: #ttnn.shape<1x1312x7x7>
tensor<[1,1312,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x1344x14x14>
tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x1>>, >
shape: #ttnn.shape<1x1344x28x28>
tensor<[1,1344,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x1344x7x7>
tensor<[1,1344,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<602x1>>, >
shape: #ttnn.shape<1x1376x14x14>
tensor<[1,1376,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<301x1>>, >
shape: #ttnn.shape<1x1376x7x7>
tensor<[1,1376,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x1392x14x14>
tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1218x1>>, >
shape: #ttnn.shape<1x1392x28x28>
tensor<[1,1392,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<616x1>>, >
shape: #ttnn.shape<1x1408x14x14>
tensor<[1,1408,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x1408x7x7>
tensor<[1,1408,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<630x1>>, >
shape: #ttnn.shape<1x1440x14x14>
tensor<[1,1440,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<315x1>>, >
shape: #ttnn.shape<1x1440x7x7>
tensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x144x14x14>
tensor<[1,144,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x144x7x7>
tensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<644x1>>, >
shape: #ttnn.shape<1x1472x14x14>
tensor<[1,1472,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x1472x7x7>
tensor<[1,1472,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<658x1>>, >
shape: #ttnn.shape<1x1504x14x14>
tensor<[1,1504,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<329x1>>, >
shape: #ttnn.shape<1x1504x7x7>
tensor<[1,1504,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<480x1>>, >
shape: #ttnn.shape<1x1536x10x10>
tensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<672x1>>, >
shape: #ttnn.shape<1x1536x14x14>
tensor<[1,1536,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x1536x7x7>
tensor<[1,1536,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<686x1>>, >
shape: #ttnn.shape<1x1568x14x14>
tensor<[1,1568,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<343x1>>, >
shape: #ttnn.shape<1x1568x7x7>
tensor<[1,1568,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<700x1>>, >
shape: #ttnn.shape<1x1600x14x14>
tensor<[1,1600,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<350x1>>, >
shape: #ttnn.shape<1x1600x7x7>
tensor<[1,1600,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x160x14x14>
tensor<[1,160,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<140x1>>, >
shape: #ttnn.shape<1x160x28x28>
tensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x2>>, >
shape: #ttnn.shape<1x160x56x56>
tensor<[1,160,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x160x7x7>
tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<714x1>>, >
shape: #ttnn.shape<1x1632x14x14>
tensor<[1,1632,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<357x1>>, >
shape: #ttnn.shape<1x1632x7x7>
tensor<[1,1632,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<728x1>>, >
shape: #ttnn.shape<1x1664x14x14>
tensor<[1,1664,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x1664x7x7>
tensor<[1,1664,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x168x1x1>
tensor<[1,168,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<742x1>>, >
shape: #ttnn.shape<1x1696x14x14>
tensor<[1,1696,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<371x1>>, >
shape: #ttnn.shape<1x1696x7x7>
tensor<[1,1696,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x4>>, >
shape: #ttnn.shape<1x16x112x112>
tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x16x14x14>
tensor<[1,16,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x5>>, >
shape: #ttnn.shape<1x16x160x160>
tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x7>>, >
shape: #ttnn.shape<1x16x224x224>
tensor<[1,16,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x16x28x28>
tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<756x1>>, >
shape: #ttnn.shape<1x1728x14x14>
tensor<[1,1728,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<378x1>>, >
shape: #ttnn.shape<1x1728x7x7>
tensor<[1,1728,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<6x1>>, >
shape: #ttnn.shape<1x174x1x1>
tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<770x1>>, >
shape: #ttnn.shape<1x1760x14x14>
tensor<[1,1760,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<385x1>>, >
shape: #ttnn.shape<1x1760x7x7>
tensor<[1,1760,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<784x1>>, >
shape: #ttnn.shape<1x1792x14x14>
tensor<[1,1792,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x1792x7x7>
tensor<[1,1792,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<399x1>>, >
shape: #ttnn.shape<1x1824x7x7>
tensor<[1,1824,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x1>>, >
shape: #ttnn.shape<1x1856x7x7>
tensor<[1,1856,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<413x1>>, >
shape: #ttnn.shape<1x1888x7x7>
tensor<[1,1888,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x18x14x14>
tensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x18x28x28>
tensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<1x18x56x56>
tensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x1920x7x7>
tensor<[1,1920,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x192x14x14>
tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x192x17x17>
tensor<[1,192,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x192x28x28>
tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x2>>, >
shape: #ttnn.shape<1x192x35x35>
tensor<[1,192,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x2>>, >
shape: #ttnn.shape<1x192x56x56>
tensor<[1,192,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x1>>, >
shape: #ttnn.shape<1x192x7x7>
tensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x192x8x8>
tensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x1x2048>
tensor<[1,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x1x3072>
tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x4096>
tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x2048x10x10>
tensor<[1,2048,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x1>>, >
shape: #ttnn.shape<1x2048x14x14>
tensor<[1,2048,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1472x2>>, >
shape: #ttnn.shape<1x2048x23x40>
tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x2048x7x7>
tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<91x1>>, >
shape: #ttnn.shape<1x208x14x14>
tensor<[1,208,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20x1x1>
tensor<[1,20,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x1>>, >
shape: #ttnn.shape<1x224x14x14>
tensor<[1,224,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<119x1>>, >
shape: #ttnn.shape<1x224x17x17>
tensor<[1,224,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x224x28x28>
tensor<[1,224,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<245x2>>, >
shape: #ttnn.shape<1x224x35x35>
tensor<[1,224,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x2>>, >
shape: #ttnn.shape<1x224x56x56>
tensor<[1,224,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x224x7x7>
tensor<[1,224,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<812x4>>, >
shape: #ttnn.shape<1x232x112x112>
tensor<[1,232,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x2>>, >
shape: #ttnn.shape<1x232x56x56>
tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x240x14x14>
tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x240x1x1>
tensor<[1,240,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x4>>, >
shape: #ttnn.shape<1x24x112x112>
tensor<[1,24,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x24x14x14>
tensor<[1,24,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24x1x1>
tensor<[1,24,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1103x1>>, >
shape: #ttnn.shape<1x2520x14x14>
tensor<[1,2520,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<552x1>>, >
shape: #ttnn.shape<1x2520x7x7>
tensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x4>>, >
shape: #ttnn.shape<1x256x128x128>
tensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x256x14x14>
tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<136x1>>, >
shape: #ttnn.shape<1x256x17x17>
tensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x10>>, >
shape: #ttnn.shape<1x256x180x320>
tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x256x28x28>
tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x256x32x32>
tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<304x2>>, >
shape: #ttnn.shape<1x256x38x38>
tensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x3>>, >
shape: #ttnn.shape<1x256x45x80>
tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x2>>, >
shape: #ttnn.shape<1x256x56x56>
tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x3>>, >
shape: #ttnn.shape<1x256x75x75>
tensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x256x7x7>
tensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x256x8x8>
tensor<[1,256,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x5>>, >
shape: #ttnn.shape<1x256x90x160>
tensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x288x14x14>
tensor<[1,288,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x288x28x28>
tensor<[1,288,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<140x1>>, >
shape: #ttnn.shape<1x320x14x14>
tensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<170x1>>, >
shape: #ttnn.shape<1x320x17x17>
tensor<[1,320,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x320x28x28>
tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x320x7x7>
tensor<[1,320,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x320x8x8>
tensor<[1,320,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x4>>, >
shape: #ttnn.shape<1x32x112x112>
tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x5>>, >
shape: #ttnn.shape<1x32x120x160>
tensor<[1,32,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x5>>, >
shape: #ttnn.shape<1x32x147x147>
tensor<[1,32,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<149x5>>, >
shape: #ttnn.shape<1x32x149x149>
tensor<[1,32,149,149,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x32x14x14>
tensor<[1,32,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x5>>, >
shape: #ttnn.shape<1x32x150x150>
tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x8>>, >
shape: #ttnn.shape<1x32x256x256>
tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<26x1>>, >
shape: #ttnn.shape<1x32x26x26>
tensor<[1,32,26,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x32x28x28>
tensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x2>>, >
shape: #ttnn.shape<1x32x30x40>
tensor<[1,32,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x2>>, >
shape: #ttnn.shape<1x32x56x56>
tensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x3>>, >
shape: #ttnn.shape<1x32x60x80>
tensor<[1,32,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x32x7x7>
tensor<[1,32,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x4>>, >
shape: #ttnn.shape<1x336x112x112>
tensor<[1,336,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x336x14x14>
tensor<[1,336,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x2>>, >
shape: #ttnn.shape<1x336x56x56>
tensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x348x1x1>
tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<154x1>>, >
shape: #ttnn.shape<1x352x14x14>
tensor<[1,352,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x352x28x28>
tensor<[1,352,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x36x14x14>
tensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x36x28x28>
tensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x2>>, >
shape: #ttnn.shape<1x36x56x56>
tensor<[1,36,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1624x1>>, >
shape: #ttnn.shape<1x3712x14x14>
tensor<[1,3712,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<812x1>>, >
shape: #ttnn.shape<1x3712x7x7>
tensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x384x14x14>
tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<204x1>>, >
shape: #ttnn.shape<1x384x17x17>
tensor<[1,384,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x384x28x28>
tensor<[1,384,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x384x7x7>
tensor<[1,384,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x384x8x8>
tensor<[1,384,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x4096>
tensor<[1,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<182x1>>, >
shape: #ttnn.shape<1x416x14x14>
tensor<[1,416,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x416x28x28>
tensor<[1,416,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x448x14x14>
tensor<[1,448,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x448x28x28>
tensor<[1,448,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x448x8x8>
tensor<[1,448,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x480x28x28>
tensor<[1,480,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x480x7x7>
tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x48x14x14>
tensor<[1,48,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x48x7x7>
tensor<[1,48,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x4x14x14>
tensor<[1,4,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x512x16x16>
tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<368x2>>, >
shape: #ttnn.shape<1x512x23x40>
tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x512x28x28>
tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x3>>, >
shape: #ttnn.shape<1x512x45x80>
tensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x2>>, >
shape: #ttnn.shape<1x512x56x56>
tensor<[1,512,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x512x7x7>
tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x512x8x8>
tensor<[1,512,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1440x5>>, >
shape: #ttnn.shape<1x512x90x160>
tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x544x14x14>
tensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x576x14x14>
tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x58x1x1>
tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<266x1>>, >
shape: #ttnn.shape<1x608x14x14>
tensor<[1,608,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x60x28x28>
tensor<[1,60,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x64>
tensor<[1,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x640x14x14>
tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x4>>, >
shape: #ttnn.shape<1x64x112x112>
tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x5>>, >
shape: #ttnn.shape<1x64x120x160>
tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x4>>, >
shape: #ttnn.shape<1x64x128x128>
tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x5>>, >
shape: #ttnn.shape<1x64x147x147>
tensor<[1,64,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x64x14x14>
tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x5>>, >
shape: #ttnn.shape<1x64x150x150>
tensor<[1,64,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x5>>, >
shape: #ttnn.shape<1x64x160x160>
tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x10>>, >
shape: #ttnn.shape<1x64x180x320>
tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x7>>, >
shape: #ttnn.shape<1x64x224x224>
tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x64x24x24>
tensor<[1,64,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x64x28x28>
tensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x2>>, >
shape: #ttnn.shape<1x64x30x40>
tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x2>>, >
shape: #ttnn.shape<1x64x35x35>
tensor<[1,64,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x20>>, >
shape: #ttnn.shape<1x64x360x640>
tensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x20>>, >
shape: #ttnn.shape<1x64x480x640>
tensor<[1,64,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x2>>, >
shape: #ttnn.shape<1x64x56x56>
tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x3>>, >
shape: #ttnn.shape<1x64x60x80>
tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<146x3>>, >
shape: #ttnn.shape<1x64x73x73>
tensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<160x3>>, >
shape: #ttnn.shape<1x64x80x80>
tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x672x28x28>
tensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x2>>, >
shape: #ttnn.shape<1x672x56x56>
tensor<[1,672,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x696x28x28>
tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1218x2>>, >
shape: #ttnn.shape<1x696x56x56>
tensor<[1,696,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x704x14x14>
tensor<[1,704,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<433x1>>, >
shape: #ttnn.shape<1x728x19x19>
tensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<865x2>>, >
shape: #ttnn.shape<1x728x38x38>
tensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x72x14x14>
tensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x72x28x28>
tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<90x2>>, >
shape: #ttnn.shape<1x72x40x40>
tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x2>>, >
shape: #ttnn.shape<1x72x56x56>
tensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<180x3>>, >
shape: #ttnn.shape<1x72x80x80>
tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x736x14x14>
tensor<[1,736,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x768x14x14>
tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<350x1>>, >
shape: #ttnn.shape<1x800x14x14>
tensor<[1,800,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x832x14x14>
tensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<378x1>>, >
shape: #ttnn.shape<1x864x14x14>
tensor<[1,864,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x896x14x14>
tensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x896x7x7>
tensor<[1,896,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x4>>, >
shape: #ttnn.shape<1x8x112x112>
tensor<[1,8,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1x1>
tensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x1>>, >
shape: #ttnn.shape<1x928x14x14>
tensor<[1,928,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<203x1>>, >
shape: #ttnn.shape<1x928x7x7>
tensor<[1,928,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x92x14x14>
tensor<[1,92,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x960x14x14>
tensor<[1,960,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x1>>, >
shape: #ttnn.shape<1x96x14x14>
tensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x96x28x28>
tensor<[1,96,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x2>>, >
shape: #ttnn.shape<1x96x35x35>
tensor<[1,96,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x2>>, >
shape: #ttnn.shape<1x96x56x56>
tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<213x3>>, >
shape: #ttnn.shape<1x96x71x71>
tensor<[1,96,71,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<219x3>>, >
shape: #ttnn.shape<1x96x73x73>
tensor<[1,96,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<434x1>>, >
shape: #ttnn.shape<1x992x14x14>
tensor<[1,992,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<217x1>>, >
shape: #ttnn.shape<1x992x7x7>
tensor<[1,992,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<2x13x3072>
tensor<[2,13,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x8>>, >
shape: #ttnn.shape<6x1x100x256>
tensor<[6,1,100,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<6x4096>
tensor<[6,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x64>>, >
shape: #ttnn.shape<920x1x2048>
tensor<[920,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<792x192>>, >
shape: #ttnn.shape<1x6x132x192>
tensor<[1,6,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16632x192>>, >
shape: #ttnn.shape<1x126x132x192>
tensor<[1,126,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x6>>, >
shape: #ttnn.shape<1x132x132x192>
tensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<792x192>>, >
shape: #ttnn.shape<1x132x6x192>
tensor<[1,132,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16632x192>>, >
shape: #ttnn.shape<1x132x126x192>
tensor<[1,132,126,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16632x384>>, >
shape: #ttnn.shape<1x126x132x384>
tensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<792x384>>, >
shape: #ttnn.shape<1x6x132x384>
tensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x12>>, >
shape: #ttnn.shape<1x132x132x384>
tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16632x384>>, >
shape: #ttnn.shape<1x132x126x384>
tensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<792x384>>, >
shape: #ttnn.shape<1x132x6x384>
tensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<792x384>>, >
shape: #ttnn.shape<1x6x132x384>
tensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16632x384>>, >
shape: #ttnn.shape<1x126x132x384>
tensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<545x12>>, >
shape: #ttnn.shape<1x132x132x384>
tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<792x384>>, >
shape: #ttnn.shape<1x132x6x384>
tensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16632x384>>, >
shape: #ttnn.shape<1x132x126x384>
tensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<154x512>>, >
shape: #ttnn.shape<1x11x14x512>
tensor<[1,11,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<42x512>>, >
shape: #ttnn.shape<1x3x14x512>
tensor<[1,3,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x14x14x512>
tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<154x512>>, >
shape: #ttnn.shape<1x14x11x512>
tensor<[1,14,11,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<42x512>>, >
shape: #ttnn.shape<1x14x3x512>
tensor<[1,14,3,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<42x512>>, >
shape: #ttnn.shape<1x3x14x512>
tensor<[1,3,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<154x512>>, >
shape: #ttnn.shape<1x11x14x512>
tensor<[1,11,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x14x14x512>
tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<42x512>>, >
shape: #ttnn.shape<1x14x3x512>
tensor<[1,14,3,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<154x512>>, >
shape: #ttnn.shape<1x14x11x512>
tensor<[1,14,11,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x1536>>, >
shape: #ttnn.shape<1x18x24x1536>
tensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x1536>>, >
shape: #ttnn.shape<1x6x24x1536>
tensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x48>>, >
shape: #ttnn.shape<1x24x24x1536>
tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x1536>>, >
shape: #ttnn.shape<1x24x18x1536>
tensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x1536>>, >
shape: #ttnn.shape<1x24x6x1536>
tensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x1536>>, >
shape: #ttnn.shape<1x6x24x1536>
tensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x1536>>, >
shape: #ttnn.shape<1x18x24x1536>
tensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x48>>, >
shape: #ttnn.shape<1x24x24x1536>
tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x1536>>, >
shape: #ttnn.shape<1x24x6x1536>
tensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x1536>>, >
shape: #ttnn.shape<1x24x18x1536>
tensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<68112x192>>, >
shape: #ttnn.shape<1x258x264x192>
tensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1584x192>>, >
shape: #ttnn.shape<1x6x264x192>
tensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2178x6>>, >
shape: #ttnn.shape<1x264x264x192>
tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<68112x192>>, >
shape: #ttnn.shape<1x264x258x192>
tensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1584x192>>, >
shape: #ttnn.shape<1x264x6x192>
tensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1584x192>>, >
shape: #ttnn.shape<1x6x264x192>
tensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<68112x192>>, >
shape: #ttnn.shape<1x258x264x192>
tensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2178x6>>, >
shape: #ttnn.shape<1x264x264x192>
tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1584x192>>, >
shape: #ttnn.shape<1x264x6x192>
tensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<68112x192>>, >
shape: #ttnn.shape<1x264x258x192>
tensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<700x256>>, >
shape: #ttnn.shape<1x25x28x256>
tensor<[1,25,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<84x256>>, >
shape: #ttnn.shape<1x3x28x256>
tensor<[1,3,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<1x28x28x256>
tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<700x256>>, >
shape: #ttnn.shape<1x28x25x256>
tensor<[1,28,25,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<84x256>>, >
shape: #ttnn.shape<1x28x3x256>
tensor<[1,28,3,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<84x256>>, >
shape: #ttnn.shape<1x3x28x256>
tensor<[1,3,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<700x256>>, >
shape: #ttnn.shape<1x25x28x256>
tensor<[1,25,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<1x28x28x256>
tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<84x256>>, >
shape: #ttnn.shape<1x28x3x256>
tensor<[1,28,3,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<700x256>>, >
shape: #ttnn.shape<1x28x25x256>
tensor<[1,28,25,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1080x1536>>, >
shape: #ttnn.shape<1x30x36x1536>
tensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<216x1536>>, >
shape: #ttnn.shape<1x6x36x1536>
tensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x48>>, >
shape: #ttnn.shape<1x36x36x1536>
tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1080x1536>>, >
shape: #ttnn.shape<1x36x30x1536>
tensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<216x1536>>, >
shape: #ttnn.shape<1x36x6x1536>
tensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<216x1536>>, >
shape: #ttnn.shape<1x6x36x1536>
tensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1080x1536>>, >
shape: #ttnn.shape<1x30x36x1536>
tensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x48>>, >
shape: #ttnn.shape<1x36x36x1536>
tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<216x1536>>, >
shape: #ttnn.shape<1x36x6x1536>
tensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1080x1536>>, >
shape: #ttnn.shape<1x36x30x1536>
tensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1080x768>>, >
shape: #ttnn.shape<1x30x36x768>
tensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<216x768>>, >
shape: #ttnn.shape<1x6x36x768>
tensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x24>>, >
shape: #ttnn.shape<1x36x36x768>
tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1080x768>>, >
shape: #ttnn.shape<1x36x30x768>
tensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<216x768>>, >
shape: #ttnn.shape<1x36x6x768>
tensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<216x768>>, >
shape: #ttnn.shape<1x6x36x768>
tensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1080x768>>, >
shape: #ttnn.shape<1x30x36x768>
tensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x24>>, >
shape: #ttnn.shape<1x36x36x768>
tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<216x768>>, >
shape: #ttnn.shape<1x36x6x768>
tensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1080x768>>, >
shape: #ttnn.shape<1x36x30x768>
tensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2968x128>>, >
shape: #ttnn.shape<1x53x56x128>
tensor<[1,53,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<168x128>>, >
shape: #ttnn.shape<1x3x56x128>
tensor<[1,3,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<1x56x56x128>
tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2968x128>>, >
shape: #ttnn.shape<1x56x53x128>
tensor<[1,56,53,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<168x128>>, >
shape: #ttnn.shape<1x56x3x128>
tensor<[1,56,3,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<168x128>>, >
shape: #ttnn.shape<1x3x56x128>
tensor<[1,3,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2968x128>>, >
shape: #ttnn.shape<1x53x56x128>
tensor<[1,53,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<1x56x56x128>
tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<168x128>>, >
shape: #ttnn.shape<1x56x3x128>
tensor<[1,56,3,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2968x128>>, >
shape: #ttnn.shape<1x56x53x128>
tensor<[1,56,53,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4752x384>>, >
shape: #ttnn.shape<1x66x72x384>
tensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x384>>, >
shape: #ttnn.shape<1x6x72x384>
tensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x12>>, >
shape: #ttnn.shape<1x72x72x384>
tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4752x384>>, >
shape: #ttnn.shape<1x72x66x384>
tensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x384>>, >
shape: #ttnn.shape<1x72x6x384>
tensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x384>>, >
shape: #ttnn.shape<1x6x72x384>
tensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4752x384>>, >
shape: #ttnn.shape<1x66x72x384>
tensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x12>>, >
shape: #ttnn.shape<1x72x72x384>
tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x384>>, >
shape: #ttnn.shape<1x72x6x384>
tensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4752x384>>, >
shape: #ttnn.shape<1x72x66x384>
tensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4752x768>>, >
shape: #ttnn.shape<1x66x72x768>
tensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x768>>, >
shape: #ttnn.shape<1x6x72x768>
tensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x24>>, >
shape: #ttnn.shape<1x72x72x768>
tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4752x768>>, >
shape: #ttnn.shape<1x72x66x768>
tensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x768>>, >
shape: #ttnn.shape<1x72x6x768>
tensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x768>>, >
shape: #ttnn.shape<1x6x72x768>
tensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4752x768>>, >
shape: #ttnn.shape<1x66x72x768>
tensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<162x24>>, >
shape: #ttnn.shape<1x72x72x768>
tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<432x768>>, >
shape: #ttnn.shape<1x72x6x768>
tensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4752x768>>, >
shape: #ttnn.shape<1x72x66x768>
tensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x1024x1>
tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10x1>
tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11x1>
tensor<[1,11,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x1200x1>
tensor<[1,1200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1>
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x1>>, >
shape: #ttnn.shape<1x1370x1>
tensor<[1,1370,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13x1>
tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x1>>, >
shape: #ttnn.shape<1x1445x1>
tensor<[1,1445,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14x1>
tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x14x14x1>
tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x1>>, >
shape: #ttnn.shape<1x1500x1>
tensor<[1,1500,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15x1>
tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x1>
tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1>
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x1>>, >
shape: #ttnn.shape<1x19200x1>
tensor<[1,19200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x196x1>
tensor<[1,196,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x197x1>
tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1>
tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x201x1>
tensor<[1,201,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x2048x1>
tensor<[1,2048,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x1>>, >
shape: #ttnn.shape<1x257x1>
tensor<[1,257,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25x1>
tensor<[1,25,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27x1>
tensor<[1,27,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x28x28x1>
tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<1x300x1>
tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1>
tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x4096x1>
tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x45x1>
tensor<[1,45,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x4800x1>
tensor<[1,4800,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x50x1>
tensor<[1,50,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x1>>, >
shape: #ttnn.shape<1x56x56x1>
tensor<[1,56,56,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x5x1>
tensor<[1,5,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x1>
tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x1>>, >
shape: #ttnn.shape<1x65536x1>
tensor<[1,65536,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1>
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7x1>
tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x7x7x1>
tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1>
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9x1>
tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x13x1>
tensor<[2,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x7x1>
tensor<[2,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<4x1x1>
tensor<[4,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x1>>, >
shape: #ttnn.shape<920x1x1>
tensor<[920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x6>>, >
shape: #ttnn.shape<1x192>
tensor<[1,192,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x10x10>
tensor<[1,1,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x12x12>
tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x14x14>
tensor<[1,1,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x16x16>
tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x10>
tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x11>
tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x12>
tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x13>
tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x14>
tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x15>
tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x16>
tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x17>
tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x18>
tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x19>
tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x7>>, >
shape: #ttnn.shape<1x1x1x201>
tensor<[1,1,1,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x1x1x2048>
tensor<[1,1,1,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x20>
tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x21>
tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x22>
tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x23>
tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x24>
tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x25>
tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x26>
tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x27>
tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x28>
tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x29>
tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x7>
tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x8>
tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x9>
tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x25x25>
tensor<[1,1,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x6x6>
tensor<[1,1,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x7x7>
tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x9x9>
tensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x1x1x13>
tensor<[2,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x1x7x7>
tensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<4x1x1x13>
tensor<[4,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50280>>, >
shape: #ttnn.shape<1x1x50280>
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50280>>, >
shape: #ttnn.shape<1x1x50280>
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50280>>, >
shape: #ttnn.shape<1x1x50280>
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1280>>, >
shape: #ttnn.shape<1x1x1280>
tensor<[1,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50280>>, >
shape: #ttnn.shape<1x1x50280>
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50280>>, >
shape: #ttnn.shape<1x1x50280>
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50280>>, >
shape: #ttnn.shape<1x1x50280>
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x768>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x768>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x768>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<120x160>>, >
shape: #ttnn.shape<1x1x120x160>
tensor<[1,1,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (120, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<120x160>>, >
shape: #ttnn.shape<1x1x120x160>
tensor<[1,1,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (120, 160, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<30x40>>, >
shape: #ttnn.shape<1x1x30x40>
tensor<[1,1,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (30, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<30x40>>, >
shape: #ttnn.shape<1x1x30x40>
tensor<[1,1,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (30, 40, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<60x80>>, >
shape: #ttnn.shape<1x1x60x80>
tensor<[1,1,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (60, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<60x80>>, >
shape: #ttnn.shape<1x1x60x80>
tensor<[1,1,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (60, 80, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >
shape: #ttnn.shape<1x3072x1x16>
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<512x96>>, >
shape: #ttnn.shape<1x32x16x1x96>
tensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<512x96>>, >
shape: #ttnn.shape<1x32x16x1x96>
tensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<512x96>>, >
shape: #ttnn.shape<1x32x16x1x96>
tensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<224x224>>, >
shape: #ttnn.shape<1x1x224x224>
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<224x224>>, >
shape: #ttnn.shape<1x1x224x224>
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<224x224>>, >
shape: #ttnn.shape<1x1x224x224>
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50257>>, >
shape: #ttnn.shape<1x1x50257>
tensor<[1,1,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50257, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x768>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x51200>>, >
shape: #ttnn.shape<1x1x51200>
tensor<[1,1,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 51200, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50272>>, >
shape: #ttnn.shape<1x1x50272>
tensor<[1,1,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50272, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50280>>, >
shape: #ttnn.shape<1x1x50280>
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50280>>, >
shape: #ttnn.shape<1x1x50280>
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50280>>, >
shape: #ttnn.shape<1x1x50280>
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x768>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x50280>>, >
shape: #ttnn.shape<1x1x50280>
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x768>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3234x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3234x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3234x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3234x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<209088x32>>, >
shape: #ttnn.shape<1x121x12x144x32>
tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<209088x32>>, >
shape: #ttnn.shape<1x121x12x144x32>
tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<209088x32>>, >
shape: #ttnn.shape<1x121x12x144x32>
tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<104544x32>>, >
shape: #ttnn.shape<1x121x6x144x32>
tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<104544x32>>, >
shape: #ttnn.shape<1x121x6x144x32>
tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<104544x32>>, >
shape: #ttnn.shape<1x121x6x144x32>
tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1370x1280>>, >
shape: #ttnn.shape<1x1370x1x1280>
tensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1370x1280>>, >
shape: #ttnn.shape<1x1370x1x1280>
tensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1370x1280>>, >
shape: #ttnn.shape<1x1370x1x1280>
tensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6272x32>>, >
shape: #ttnn.shape<1x16x8x49x32>
tensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6272x32>>, >
shape: #ttnn.shape<1x16x8x49x32>
tensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6272x32>>, >
shape: #ttnn.shape<1x16x8x49x32>
tensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3084x64>>, >
shape: #ttnn.shape<1x1x12x257x64>
tensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3084x64>>, >
shape: #ttnn.shape<1x1x12x257x64>
tensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3084x64>>, >
shape: #ttnn.shape<1x1x12x257x64>
tensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1568x32>>, >
shape: #ttnn.shape<1x1x32x49x32>
tensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1568x32>>, >
shape: #ttnn.shape<1x1x32x49x32>
tensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1568x32>>, >
shape: #ttnn.shape<1x1x32x49x32>
tensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<62208x32>>, >
shape: #ttnn.shape<1x36x12x144x32>
tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<62208x32>>, >
shape: #ttnn.shape<1x36x12x144x32>
tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<62208x32>>, >
shape: #ttnn.shape<1x36x12x144x32>
tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<124416x32>>, >
shape: #ttnn.shape<1x36x24x144x32>
tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<124416x32>>, >
shape: #ttnn.shape<1x36x24x144x32>
tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<124416x32>>, >
shape: #ttnn.shape<1x36x24x144x32>
tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<418176x32>>, >
shape: #ttnn.shape<1x484x6x144x32>
tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<418176x32>>, >
shape: #ttnn.shape<1x484x6x144x32>
tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<418176x32>>, >
shape: #ttnn.shape<1x484x6x144x32>
tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x32>>, >
shape: #ttnn.shape<1x4x16x49x32>
tensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x32>>, >
shape: #ttnn.shape<1x4x16x49x32>
tensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3136x32>>, >
shape: #ttnn.shape<1x4x16x49x32>
tensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<27648x32>>, >
shape: #ttnn.shape<1x4x48x144x32>
tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<27648x32>>, >
shape: #ttnn.shape<1x4x48x144x32>
tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<27648x32>>, >
shape: #ttnn.shape<1x4x48x144x32>
tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x32>>, >
shape: #ttnn.shape<1x64x4x49x32>
tensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x32>>, >
shape: #ttnn.shape<1x64x4x49x32>
tensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12544x32>>, >
shape: #ttnn.shape<1x64x4x49x32>
tensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<31104x32>>, >
shape: #ttnn.shape<1x9x24x144x32>
tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<31104x32>>, >
shape: #ttnn.shape<1x9x24x144x32>
tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<31104x32>>, >
shape: #ttnn.shape<1x9x24x144x32>
tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<62208x32>>, >
shape: #ttnn.shape<1x9x48x144x32>
tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<62208x32>>, >
shape: #ttnn.shape<1x9x48x144x32>
tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<62208x32>>, >
shape: #ttnn.shape<1x9x48x144x32>
tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x2x1>
tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x2x1>
tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x2x1>
tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x2x1>
tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x4>>, >
shape: #ttnn.shape<1x1x100x4>
tensor<[1,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (100, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x92>>, >
shape: #ttnn.shape<1x1x100x92>
tensor<[1,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (100, 92, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<8x1>
tensor<[8,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<68x40>>, >
shape: #ttnn.shape<1x3x720x1280>
tensor<[1,3,720,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2160 + d1 * 720 + d2, d3), memory_config: (68, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x120x14x14>
tensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x1392x1x1>
tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x184x7x7>
tensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<15x20>>, >
shape: #ttnn.shape<1x1x480x640>
tensor<[1,1,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x200x7x7>
tensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x232x1x1>
tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x240x14x14>
tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x5>>, >
shape: #ttnn.shape<1x2x120x160>
tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x2x30x40>
tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x3>>, >
shape: #ttnn.shape<1x2x60x80>
tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<116x1>>, >
shape: #ttnn.shape<1x3712x1x1>
tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x3>>, >
shape: #ttnn.shape<1x3x16x16x85>
tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x3>>, >
shape: #ttnn.shape<1x3x32x32x85>
tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<384x3>>, >
shape: #ttnn.shape<1x3x64x64x85>
tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x480x7x7>
tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x50x3072>
tensor<[1,50,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x672x7x7>
tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<22x1>>, >
shape: #ttnn.shape<1x696x1x1>
tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x72x28x28>
tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<90x1>>, >
shape: #ttnn.shape<1x960x3x3>
tensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<2x7x2048>
tensor<[2,7,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x1>>, >
shape: #ttnn.shape<6x1x100x4>
tensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x1>>, >
shape: #ttnn.shape<1x1280x32x32>
tensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x128x32x32>
tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x2>>, >
shape: #ttnn.shape<1x128x64x64>
tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x280>>, >
shape: #ttnn.shape<1x12x8960>
tensor<[1,12,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x592>>, >
shape: #ttnn.shape<1x13x18944>
tensor<[1,13,18944,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x1920x16x16>
tensor<[1,1920,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1920x1>>, >
shape: #ttnn.shape<1x1920x32x32>
tensor<[1,1920,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x280>>, >
shape: #ttnn.shape<1x1x8960>
tensor<[1,1,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x1>>, >
shape: #ttnn.shape<1x2560x16x16>
tensor<[1,2560,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x2560x8x8>
tensor<[1,2560,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x256x16x16>
tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x256x32x32>
tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x10>
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x11>
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x12>
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x13>
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x14>
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x15>
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x6>
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x7>
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x9>
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x320x32x32>
tensor<[1,320,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x2>>, >
shape: #ttnn.shape<1x320x64x64>
tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x344>>, >
shape: #ttnn.shape<1x32x11008>
tensor<[1,32,11008,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x4>>, >
shape: #ttnn.shape<1x32x128x128>
tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x8>>, >
shape: #ttnn.shape<1x32x256x256>
tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x32x8192>
tensor<[1,32,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x512x16x16>
tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x640x16x16>
tensor<[1,640,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x640x32x32>
tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1280x2>>, >
shape: #ttnn.shape<1x640x64x64>
tensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x4>>, >
shape: #ttnn.shape<1x64x128x128>
tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x64x64x64>
tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<960x1>>, >
shape: #ttnn.shape<1x960x32x32>
tensor<[1,960,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1920x2>>, >
shape: #ttnn.shape<1x960x64x64>
tensor<[1,960,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x13x128>
tensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x128>
tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x32x128>
tensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x14>>, >
shape: #ttnn.shape<3x14>
tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x14>>, >
shape: #ttnn.shape<4x14>
tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x14>>, >
shape: #ttnn.shape<7x14>
tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x2048>>, >
shape: #ttnn.shape<8x2048>
tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x2048>>, >
shape: #ttnn.shape<8x2048>
tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x2560>>, >
shape: #ttnn.shape<1x1024x2560>
tensor<[1,1024,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 2560, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x2560>>, >
shape: #ttnn.shape<1x1024x2560>
tensor<[1,1024,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 2560, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<10x96>>, >
shape: #ttnn.shape<1x10x96>
tensor<[1,10,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<1x10x16>
tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<1x10x16>
tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<11x96>>, >
shape: #ttnn.shape<1x11x96>
tensor<[1,11,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<11x16>>, >
shape: #ttnn.shape<1x11x16>
tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<11x16>>, >
shape: #ttnn.shape<1x11x16>
tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8192x192>>, >
shape: #ttnn.shape<1x64x128x192>
tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8192x192>>, >
shape: #ttnn.shape<1x64x128x192>
tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8192x384>>, >
shape: #ttnn.shape<1x64x128x384>
tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8192x384>>, >
shape: #ttnn.shape<1x64x128x384>
tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x192>>, >
shape: #ttnn.shape<1x128x128x192>
tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x384>>, >
shape: #ttnn.shape<1x128x128x384>
tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x192>>, >
shape: #ttnn.shape<1x128x128x192>
tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16384x192>>, >
shape: #ttnn.shape<1x128x128x192>
tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12x96>>, >
shape: #ttnn.shape<1x12x96>
tensor<[1,12,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12x16>>, >
shape: #ttnn.shape<1x12x16>
tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12x16>>, >
shape: #ttnn.shape<1x12x16>
tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x64>>, >
shape: #ttnn.shape<1x12x12x64>
tensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<144x64>>, >
shape: #ttnn.shape<1x12x12x64>
tensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1536>>, >
shape: #ttnn.shape<1x1x1536>
tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1536, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12x64>>, >
shape: #ttnn.shape<1x12x1x64>
tensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12x64>>, >
shape: #ttnn.shape<1x12x1x64>
tensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16896x192>>, >
shape: #ttnn.shape<1x128x132x192>
tensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16896x384>>, >
shape: #ttnn.shape<1x128x132x384>
tensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<13x96>>, >
shape: #ttnn.shape<1x13x96>
tensor<[1,13,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<13x16>>, >
shape: #ttnn.shape<1x13x16>
tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<13x16>>, >
shape: #ttnn.shape<1x13x16>
tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<100x192>>, >
shape: #ttnn.shape<1x100x192>
tensor<[1,100,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (100, 192, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14x96>>, >
shape: #ttnn.shape<1x14x96>
tensor<[1,14,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14x16>>, >
shape: #ttnn.shape<1x14x16>
tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14x16>>, >
shape: #ttnn.shape<1x14x16>
tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<98x512>>, >
shape: #ttnn.shape<1x7x14x512>
tensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<98x512>>, >
shape: #ttnn.shape<1x7x14x512>
tensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x14x14x256>
tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x256>>, >
shape: #ttnn.shape<1x14x14x256>
tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x14x1>
tensor<[1,14,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 1, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x14x1>
tensor<[1,14,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 1, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<15x96>>, >
shape: #ttnn.shape<1x15x96>
tensor<[1,15,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<15x16>>, >
shape: #ttnn.shape<1x15x16>
tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<15x16>>, >
shape: #ttnn.shape<1x15x16>
tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1536>>, >
shape: #ttnn.shape<1x16x16x1536>
tensor<[1,16,16,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x768>>, >
shape: #ttnn.shape<1x16x16x768>
tensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x768>>, >
shape: #ttnn.shape<1x16x16x768>
tensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1596x28>>, >
shape: #ttnn.shape<1x57x28x28>
tensor<[1,57,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1596 + d1 * 28 + d2, d3), memory_config: (1596, 28, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3584x28>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (3584, 28, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x1024>>, >
shape: #ttnn.shape<1x196x1024>
tensor<[1,196,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<196x768>>, >
shape: #ttnn.shape<1x196x768>
tensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (196, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16x16>>, >
shape: #ttnn.shape<1x1x16x16>
tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16x16>>, >
shape: #ttnn.shape<1x1x16x16>
tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16x32>>, >
shape: #ttnn.shape<1x1x16x32>
tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<16x32>>, >
shape: #ttnn.shape<1x1x16x32>
tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<1x1x16>
tensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x256>>, >
shape: #ttnn.shape<1x1x4x256>
tensor<[1,1,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x256>>, >
shape: #ttnn.shape<1x1x4x256>
tensor<[1,1,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x256>>, >
shape: #ttnn.shape<1x1x4x256>
tensor<[1,1,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x1x7x32>
tensor<[1,1,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x1x7x32>
tensor<[1,1,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<384x1536>>, >
shape: #ttnn.shape<1x16x24x1536>
tensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (384, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<768x64>>, >
shape: #ttnn.shape<1x24x32x64>
tensor<[1,24,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<768x64>>, >
shape: #ttnn.shape<1x24x32x64>
tensor<[1,24,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x5120>>, >
shape: #ttnn.shape<1x256x5120>
tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 5120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x5120>>, >
shape: #ttnn.shape<1x256x5120>
tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 5120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<32768x192>>, >
shape: #ttnn.shape<1x128x256x192>
tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<32768x192>>, >
shape: #ttnn.shape<1x128x256x192>
tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<65536x192>>, >
shape: #ttnn.shape<1x256x256x192>
tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 1, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 1, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x25x1>
tensor<[1,25,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 1, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x25x1>
tensor<[1,25,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 1, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<67584x192>>, >
shape: #ttnn.shape<1x256x264x192>
tensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (67584, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<364x64>>, >
shape: #ttnn.shape<1x28x13x64>
tensor<[1,28,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<364x64>>, >
shape: #ttnn.shape<1x28x13x64>
tensor<[1,28,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<392x256>>, >
shape: #ttnn.shape<1x14x28x256>
tensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<392x256>>, >
shape: #ttnn.shape<1x14x28x256>
tensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x28x28x128>
tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<784x128>>, >
shape: #ttnn.shape<1x28x28x128>
tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<24x64>>, >
shape: #ttnn.shape<1x2x12x64>
tensor<[1,2,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<24x64>>, >
shape: #ttnn.shape<1x2x12x64>
tensor<[1,2,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2x64>>, >
shape: #ttnn.shape<1x2x1x64>
tensor<[1,2,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2x64>>, >
shape: #ttnn.shape<1x2x1x64>
tensor<[1,2,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x7>>, >
shape: #ttnn.shape<1x3072x7>
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x8>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x9>>, >
shape: #ttnn.shape<1x3072x9>
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x10>>, >
shape: #ttnn.shape<1x3072x10>
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x11>>, >
shape: #ttnn.shape<1x3072x11>
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x12>>, >
shape: #ttnn.shape<1x3072x12>
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x13>>, >
shape: #ttnn.shape<1x3072x13>
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x14>>, >
shape: #ttnn.shape<1x3072x14>
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x15>>, >
shape: #ttnn.shape<1x3072x15>
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x6>>, >
shape: #ttnn.shape<1x3072x6>
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x64>>, >
shape: #ttnn.shape<1x32x32x64>
tensor<[1,32,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x64>>, >
shape: #ttnn.shape<1x32x32x64>
tensor<[1,32,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<512x768>>, >
shape: #ttnn.shape<1x16x32x768>
tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<512x768>>, >
shape: #ttnn.shape<1x16x32x768>
tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x1536>>, >
shape: #ttnn.shape<1x32x32x1536>
tensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x768>>, >
shape: #ttnn.shape<1x32x32x768>
tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x384>>, >
shape: #ttnn.shape<1x32x32x384>
tensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x384>>, >
shape: #ttnn.shape<1x32x32x384>
tensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x768>>, >
shape: #ttnn.shape<1x32x32x768>
tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1024x768>>, >
shape: #ttnn.shape<1x32x32x768>
tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1152x1536>>, >
shape: #ttnn.shape<1x32x36x1536>
tensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 1536, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1152x768>>, >
shape: #ttnn.shape<1x32x36x768>
tensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<768x2>>, >
shape: #ttnn.shape<1x3x16x16x2>
tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 2, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<768x2>>, >
shape: #ttnn.shape<1x3x16x16x2>
tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 2, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<768x81>>, >
shape: #ttnn.shape<1x3x16x16x81>
tensor<[1,3,16,16,81,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 81, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x2>>, >
shape: #ttnn.shape<1x3x32x32x2>
tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 2, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x2>>, >
shape: #ttnn.shape<1x3x32x32x2>
tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 2, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x81>>, >
shape: #ttnn.shape<1x3x32x32x81>
tensor<[1,3,32,32,81,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 81, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12288x2>>, >
shape: #ttnn.shape<1x3x64x64x2>
tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 2, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12288x2>>, >
shape: #ttnn.shape<1x3x64x64x2>
tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 2, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<12288x81>>, >
shape: #ttnn.shape<1x3x64x64x81>
tensor<[1,3,64,64,81,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 81, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x1280>>, >
shape: #ttnn.shape<1x4096x1280>
tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x1280>>, >
shape: #ttnn.shape<1x4096x1280>
tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 1280, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<52x64>>, >
shape: #ttnn.shape<1x4x13x64>
tensor<[1,4,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<52x64>>, >
shape: #ttnn.shape<1x4x13x64>
tensor<[1,4,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1568x128>>, >
shape: #ttnn.shape<1x28x56x128>
tensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1568x128>>, >
shape: #ttnn.shape<1x28x56x128>
tensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<80x16>>, >
shape: #ttnn.shape<1x5x16x16>
tensor<[1,5,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<80x16>>, >
shape: #ttnn.shape<1x5x16x16>
tensor<[1,5,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<80x32>>, >
shape: #ttnn.shape<1x5x16x32>
tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<80x32>>, >
shape: #ttnn.shape<1x5x16x32>
tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5x16>>, >
shape: #ttnn.shape<1x5x16>
tensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<5x16>>, >
shape: #ttnn.shape<1x5x16>
tensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<20x256>>, >
shape: #ttnn.shape<1x5x4x256>
tensor<[1,5,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<20x256>>, >
shape: #ttnn.shape<1x5x4x256>
tensor<[1,5,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<20x256>>, >
shape: #ttnn.shape<1x5x4x256>
tensor<[1,5,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x10>>, >
shape: #ttnn.shape<1x3072x10>
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x10>>, >
shape: #ttnn.shape<1x3072x10>
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x11>>, >
shape: #ttnn.shape<1x3072x11>
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x11>>, >
shape: #ttnn.shape<1x3072x11>
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x12>>, >
shape: #ttnn.shape<1x3072x12>
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x12>>, >
shape: #ttnn.shape<1x3072x12>
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x13>>, >
shape: #ttnn.shape<1x3072x13>
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x13>>, >
shape: #ttnn.shape<1x3072x13>
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x14>>, >
shape: #ttnn.shape<1x3072x14>
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x14>>, >
shape: #ttnn.shape<1x3072x14>
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x15>>, >
shape: #ttnn.shape<1x3072x15>
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x15>>, >
shape: #ttnn.shape<1x3072x15>
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x6>>, >
shape: #ttnn.shape<1x3072x6>
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x6>>, >
shape: #ttnn.shape<1x3072x6>
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x7>>, >
shape: #ttnn.shape<1x3072x7>
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x7>>, >
shape: #ttnn.shape<1x3072x7>
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x8>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x8>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x9>>, >
shape: #ttnn.shape<1x3072x9>
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3072x9>>, >
shape: #ttnn.shape<1x3072x9>
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x5120>>, >
shape: #ttnn.shape<1x64x5120>
tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 5120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<64x5120>>, >
shape: #ttnn.shape<1x64x5120>
tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 5120, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x192>>, >
shape: #ttnn.shape<1x64x64x192>
tensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x192>>, >
shape: #ttnn.shape<1x64x64x192>
tensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x384>>, >
shape: #ttnn.shape<1x64x64x384>
tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x384>>, >
shape: #ttnn.shape<1x64x64x384>
tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2048x384>>, >
shape: #ttnn.shape<1x32x64x384>
tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2048x384>>, >
shape: #ttnn.shape<1x32x64x384>
tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2048x768>>, >
shape: #ttnn.shape<1x32x64x768>
tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<2048x768>>, >
shape: #ttnn.shape<1x32x64x768>
tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x384>>, >
shape: #ttnn.shape<1x64x64x384>
tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4096x768>>, >
shape: #ttnn.shape<1x64x64x768>
tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6x96>>, >
shape: #ttnn.shape<1x6x96>
tensor<[1,6,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6x16>>, >
shape: #ttnn.shape<1x6x16>
tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<6x16>>, >
shape: #ttnn.shape<1x6x16>
tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<497x32>>, >
shape: #ttnn.shape<1x71x7x32>
tensor<[1,71,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<497x32>>, >
shape: #ttnn.shape<1x71x7x32>
tensor<[1,71,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 32, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4608x384>>, >
shape: #ttnn.shape<1x64x72x384>
tensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 384, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4608x768>>, >
shape: #ttnn.shape<1x64x72x768>
tensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 768, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x96>>, >
shape: #ttnn.shape<1x7x96>
tensor<[1,7,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x7x16>
tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x7x16>
tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x512>>, >
shape: #ttnn.shape<1x7x7x512>
tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x512>>, >
shape: #ttnn.shape<1x7x7x512>
tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x768>>, >
shape: #ttnn.shape<1x7x768>
tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x768>>, >
shape: #ttnn.shape<1x7x768>
tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x768>>, >
shape: #ttnn.shape<1x7x768>
tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<497x64>>, >
shape: #ttnn.shape<1x7x71x64>
tensor<[1,7,71,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 71 + d2, d3), memory_config: (497, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x96>>, >
shape: #ttnn.shape<1x8x96>
tensor<[1,8,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<1x8x16>
tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<1x8x16>
tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x64>>, >
shape: #ttnn.shape<1x8x32x64>
tensor<[1,8,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<256x64>>, >
shape: #ttnn.shape<1x8x32x64>
tensor<[1,8,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x96>>, >
shape: #ttnn.shape<1x9x96>
tensor<[1,9,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 96, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x16>>, >
shape: #ttnn.shape<1x9x16>
tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<9x16>>, >
shape: #ttnn.shape<1x9x16>
tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<21x3>>, >
shape: #ttnn.shape<21x3>
tensor<[21,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 3, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<21x4>>, >
shape: #ttnn.shape<21x4>
tensor<[21,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<21x21>>, >
shape: #ttnn.shape<21x21>
tensor<[21,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 21, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x28>>, >
shape: #ttnn.shape<3x28>
tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x28>>, >
shape: #ttnn.shape<4x28>
tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<21x28>>, >
shape: #ttnn.shape<21x28>
tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3234x2>>, >
shape: #ttnn.shape<3234x2>
tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3234x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3234x2>>, >
shape: #ttnn.shape<3234x2>
tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3234x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3234x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3234x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x3>>, >
shape: #ttnn.shape<3x3>
tensor<[3,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x4>>, >
shape: #ttnn.shape<3x4>
tensor<[3,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x7>>, >
shape: #ttnn.shape<3x7>
tensor<[3,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 7, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x3>>, >
shape: #ttnn.shape<3x3>
tensor<[3,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x4>>, >
shape: #ttnn.shape<3x4>
tensor<[3,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x21>>, >
shape: #ttnn.shape<3x21>
tensor<[3,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 21, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x3>>, >
shape: #ttnn.shape<3x3>
tensor<[3,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x4>>, >
shape: #ttnn.shape<3x4>
tensor<[3,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x49>>, >
shape: #ttnn.shape<3x49>
tensor<[3,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 49, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1>
tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x3>>, >
shape: #ttnn.shape<49x3>
tensor<[49,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 3, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x4>>, >
shape: #ttnn.shape<49x4>
tensor<[49,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x49>>, >
shape: #ttnn.shape<49x49>
tensor<[49,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 49, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x3>>, >
shape: #ttnn.shape<4x3>
tensor<[4,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x4>>, >
shape: #ttnn.shape<4x4>
tensor<[4,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x7>>, >
shape: #ttnn.shape<4x7>
tensor<[4,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 7, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x3>>, >
shape: #ttnn.shape<4x3>
tensor<[4,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x4>>, >
shape: #ttnn.shape<4x4>
tensor<[4,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x21>>, >
shape: #ttnn.shape<4x21>
tensor<[4,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 21, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x3>>, >
shape: #ttnn.shape<4x3>
tensor<[4,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x4>>, >
shape: #ttnn.shape<4x4>
tensor<[4,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x49>>, >
shape: #ttnn.shape<4x49>
tensor<[4,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 49, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<3x56>>, >
shape: #ttnn.shape<3x56>
tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<4x56>>, >
shape: #ttnn.shape<4x56>
tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<49x56>>, >
shape: #ttnn.shape<49x56>
tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1>
tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x3>>, >
shape: #ttnn.shape<7x3>
tensor<[7,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 3, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x4>>, >
shape: #ttnn.shape<7x4>
tensor<[7,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 4, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<7x7>>, >
shape: #ttnn.shape<7x7>
tensor<[7,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 7, 'bf16', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout<row_major>
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<8x1>
tensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'ui32', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x11x3072>
tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x12x3072>
tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x13x3072>
tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x14x3072>
tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x15x3072>
tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x6x3072>
tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x7x3072>
tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x8x3072>
tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x9x3072>
tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x15>
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x14>
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x13>
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x12>
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x11>
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x10>
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x9>
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x8>
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x7>
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x3072x6>
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x5x16x16x2>
tensor<[1,5,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1280 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<19x8>>, >
shape: #ttnn.shape<6x100x1x256>
tensor<[6,100,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<3234x1x4>
tensor<[3234,1,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<203x1>>, >
shape: #ttnn.shape<3234x2x2>
tensor<[3234,2,2,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<4x4x1x2048>
tensor<[4,4,1,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<12>
tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x2>>, >
shape: #ttnn.shape<16x49x49>
tensor<[16,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1>
tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x100x14x14>
tensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1024x10x10>
tensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x1024x14x14>
tensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1x1024x1536>
tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x5>>, >
shape: #ttnn.shape<1x1024x160>
tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x1024x16x16>
tensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<608x1>>, >
shape: #ttnn.shape<1x1024x19x19>
tensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x1>>, >
shape: #ttnn.shape<1x1024x28x28>
tensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x96>>, >
shape: #ttnn.shape<1x1024x3072>
tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1x1024x640>
tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x24>>, >
shape: #ttnn.shape<1x1024x768>
tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x1024x7x7>
tensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<462x1>>, >
shape: #ttnn.shape<1x1056x14x14>
tensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<231x1>>, >
shape: #ttnn.shape<1x1056x7x7>
tensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<476x1>>, >
shape: #ttnn.shape<1x1088x14x14>
tensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x1088x7x7>
tensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<490x1>>, >
shape: #ttnn.shape<1x1120x14x14>
tensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<245x1>>, >
shape: #ttnn.shape<1x1120x7x7>
tensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x112x14x14>
tensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x112x15x15>
tensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x112x20x20>
tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x112x24x24>
tensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x112x7x7>
tensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x1>>, >
shape: #ttnn.shape<1x1152x14x14>
tensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x1152x7x7>
tensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<288x1>>, >
shape: #ttnn.shape<1x1152x8x8>
tensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<51x1>>, >
shape: #ttnn.shape<1x116x14x14>
tensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<518x1>>, >
shape: #ttnn.shape<1x1184x14x14>
tensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<259x1>>, >
shape: #ttnn.shape<1x1184x7x7>
tensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11>
tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x10>>, >
shape: #ttnn.shape<1x1200x320>
tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x120x14x14>
tensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x120x17x17>
tensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x120x28x28>
tensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x2>>, >
shape: #ttnn.shape<1x120x40x40>
tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<532x1>>, >
shape: #ttnn.shape<1x1216x14x14>
tensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<266x1>>, >
shape: #ttnn.shape<1x1216x7x7>
tensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<546x1>>, >
shape: #ttnn.shape<1x1248x14x14>
tensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<273x1>>, >
shape: #ttnn.shape<1x1248x7x7>
tensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<351x1>>, >
shape: #ttnn.shape<1x1248x9x9>
tensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<400x1>>, >
shape: #ttnn.shape<1x1280x10x10>
tensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<480x1>>, >
shape: #ttnn.shape<1x1280x12x12>
tensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<560x1>>, >
shape: #ttnn.shape<1x1280x14x14>
tensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x1280x7x7>
tensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x1>>, >
shape: #ttnn.shape<1x1280x8x8>
tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x1>>, >
shape: #ttnn.shape<1x1280x9x9>
tensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x4>>, >
shape: #ttnn.shape<1x128x112x112>
tensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x4>>, >
shape: #ttnn.shape<1x128x128x128>
tensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x128x14x14>
tensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x5>>, >
shape: #ttnn.shape<1x128x150x150>
tensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<68x1>>, >
shape: #ttnn.shape<1x128x17x17>
tensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x128x1x1>
tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x128x28x28>
tensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x128x2x2>
tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x128x32x32>
tensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<12x1>>, >
shape: #ttnn.shape<1x128x3x3>
tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x2>>, >
shape: #ttnn.shape<1x128x56x56>
tensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x1>>, >
shape: #ttnn.shape<1x128x5x5>
tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x2>>, >
shape: #ttnn.shape<1x128x64x64>
tensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x3>>, >
shape: #ttnn.shape<1x128x75x75>
tensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x128x7x7>
tensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x2>>, >
shape: #ttnn.shape<1x12x56x56>
tensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x12x768>
tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<574x1>>, >
shape: #ttnn.shape<1x1312x14x14>
tensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<287x1>>, >
shape: #ttnn.shape<1x1312x7x7>
tensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x1344x14x14>
tensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x1>>, >
shape: #ttnn.shape<1x1344x28x28>
tensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x1344x7x7>
tensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<118x1>>, >
shape: #ttnn.shape<1x134x28x28>
tensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<1x136x19x19>
tensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1x1370x1280>
tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<602x1>>, >
shape: #ttnn.shape<1x1376x14x14>
tensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<301x1>>, >
shape: #ttnn.shape<1x1376x7x7>
tensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<435x1>>, >
shape: #ttnn.shape<1x1392x10x10>
tensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x1392x14x14>
tensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1218x1>>, >
shape: #ttnn.shape<1x1392x28x28>
tensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13>
tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<616x1>>, >
shape: #ttnn.shape<1x1408x14x14>
tensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x1408x7x7>
tensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<630x1>>, >
shape: #ttnn.shape<1x1440x14x14>
tensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<315x1>>, >
shape: #ttnn.shape<1x1440x7x7>
tensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1x1445x192>
tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x144x14x14>
tensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<675x5>>, >
shape: #ttnn.shape<1x144x150x150>
tensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<855x6>>, >
shape: #ttnn.shape<1x144x190x190>
tensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x144x28x28>
tensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<135x1>>, >
shape: #ttnn.shape<1x144x30x30>
tensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<149x2>>, >
shape: #ttnn.shape<1x144x33x33>
tensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x2>>, >
shape: #ttnn.shape<1x144x56x56>
tensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<270x2>>, >
shape: #ttnn.shape<1x144x60x60>
tensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<293x3>>, >
shape: #ttnn.shape<1x144x65x65>
tensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<338x3>>, >
shape: #ttnn.shape<1x144x75x75>
tensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x144x7x7>
tensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<428x3>>, >
shape: #ttnn.shape<1x144x95x95>
tensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<644x1>>, >
shape: #ttnn.shape<1x1472x14x14>
tensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x1472x7x7>
tensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14>
tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x14x128>
tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x14x14x1024>
tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x14x14x512>
tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x2>>, >
shape: #ttnn.shape<1x14x56x56>
tensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x14x768>
tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1x1500x768>
tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<658x1>>, >
shape: #ttnn.shape<1x1504x14x14>
tensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<329x1>>, >
shape: #ttnn.shape<1x1504x7x7>
tensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<480x1>>, >
shape: #ttnn.shape<1x1536x10x10>
tensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<672x1>>, >
shape: #ttnn.shape<1x1536x14x14>
tensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x1536x7x7>
tensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<686x1>>, >
shape: #ttnn.shape<1x1568x14x14>
tensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<343x1>>, >
shape: #ttnn.shape<1x1568x7x7>
tensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15>
tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<700x1>>, >
shape: #ttnn.shape<1x1600x14x14>
tensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<350x1>>, >
shape: #ttnn.shape<1x1600x7x7>
tensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x160x14x14>
tensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x1>>, >
shape: #ttnn.shape<1x160x24x24>
tensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<140x1>>, >
shape: #ttnn.shape<1x160x28x28>
tensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x2>>, >
shape: #ttnn.shape<1x160x56x56>
tensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x160x7x7>
tensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<612x1>>, >
shape: #ttnn.shape<1x1632x12x12>
tensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<714x1>>, >
shape: #ttnn.shape<1x1632x14x14>
tensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<357x1>>, >
shape: #ttnn.shape<1x1632x7x7>
tensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x6>>, >
shape: #ttnn.shape<1x16384x192>
tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x32>
tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x12>>, >
shape: #ttnn.shape<1x16384x384>
tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x24>>, >
shape: #ttnn.shape<1x16384x768>
tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<728x1>>, >
shape: #ttnn.shape<1x1664x14x14>
tensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x1664x7x7>
tensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x168x28x28>
tensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<742x1>>, >
shape: #ttnn.shape<1x1696x14x14>
tensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<371x1>>, >
shape: #ttnn.shape<1x1696x7x7>
tensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16>
tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x4>>, >
shape: #ttnn.shape<1x16x112x112>
tensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x4>>, >
shape: #ttnn.shape<1x16x120x120>
tensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<65x5>>, >
shape: #ttnn.shape<1x16x130x130>
tensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x16x14x14>
tensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x5>>, >
shape: #ttnn.shape<1x16x160x160>
tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x7>>, >
shape: #ttnn.shape<1x16x224x224>
tensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x16x28x28>
tensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x2>>, >
shape: #ttnn.shape<1x16x56x56>
tensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x16x768>
tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<756x1>>, >
shape: #ttnn.shape<1x1728x14x14>
tensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<378x1>>, >
shape: #ttnn.shape<1x1728x7x7>
tensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<770x1>>, >
shape: #ttnn.shape<1x1760x14x14>
tensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<385x1>>, >
shape: #ttnn.shape<1x1760x7x7>
tensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<784x1>>, >
shape: #ttnn.shape<1x1792x14x14>
tensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x1792x7x7>
tensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x17>
tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<399x1>>, >
shape: #ttnn.shape<1x1824x7x7>
tensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<81x1>>, >
shape: #ttnn.shape<1x184x14x14>
tensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<115x1>>, >
shape: #ttnn.shape<1x184x20x20>
tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x184x7x7>
tensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x1>>, >
shape: #ttnn.shape<1x1856x7x7>
tensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<413x1>>, >
shape: #ttnn.shape<1x1888x7x7>
tensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x18>
tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x18x14x14>
tensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x18x28x28>
tensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x2>>, >
shape: #ttnn.shape<1x18x56x56>
tensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x18x7x7>
tensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<1x19200x64>
tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x1920x7x7>
tensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x192x14x14>
tensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x192x17x17>
tensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x192x28x28>
tensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x2>>, >
shape: #ttnn.shape<1x192x35x35>
tensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<228x2>>, >
shape: #ttnn.shape<1x192x38x38>
tensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<288x2>>, >
shape: #ttnn.shape<1x192x48x48>
tensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x2>>, >
shape: #ttnn.shape<1x192x56x56>
tensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<450x3>>, >
shape: #ttnn.shape<1x192x75x75>
tensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x1>>, >
shape: #ttnn.shape<1x192x7x7>
tensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<48x1>>, >
shape: #ttnn.shape<1x192x8x8>
tensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<570x3>>, >
shape: #ttnn.shape<1x192x95x95>
tensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<86x1>>, >
shape: #ttnn.shape<1x196x14x14>
tensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x196x768>
tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x197x1024>
tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x197x768>
tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x19>
tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<88x1>>, >
shape: #ttnn.shape<1x200x14x14>
tensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<125x1>>, >
shape: #ttnn.shape<1x200x20x20>
tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<44x1>>, >
shape: #ttnn.shape<1x200x7x7>
tensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x201x768>
tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<640x1>>, >
shape: #ttnn.shape<1x2048x10x10>
tensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x1>>, >
shape: #ttnn.shape<1x2048x14x14>
tensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<1x2048x768>
tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x2048x7x7>
tensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<91x1>>, >
shape: #ttnn.shape<1x208x14x14>
tensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<59x1>>, >
shape: #ttnn.shape<1x208x9x9>
tensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20>
tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x20x28x28>
tensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x21>
tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x1>>, >
shape: #ttnn.shape<1x224x14x14>
tensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<119x1>>, >
shape: #ttnn.shape<1x224x17x17>
tensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x224x28x28>
tensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<245x2>>, >
shape: #ttnn.shape<1x224x35x35>
tensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x2>>, >
shape: #ttnn.shape<1x224x56x56>
tensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x1>>, >
shape: #ttnn.shape<1x224x7x7>
tensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x22>
tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<73x1>>, >
shape: #ttnn.shape<1x232x10x10>
tensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<812x4>>, >
shape: #ttnn.shape<1x232x112x112>
tensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x2>>, >
shape: #ttnn.shape<1x232x56x56>
tensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x23>
tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x240x14x14>
tensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<113x1>>, >
shape: #ttnn.shape<1x240x15x15>
tensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x240x20x20>
tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x240x28x28>
tensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<225x1>>, >
shape: #ttnn.shape<1x240x30x30>
tensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x2>>, >
shape: #ttnn.shape<1x240x40x40>
tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24>
tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x4>>, >
shape: #ttnn.shape<1x24x112x112>
tensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x24x14x14>
tensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<113x5>>, >
shape: #ttnn.shape<1x24x150x150>
tensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<143x6>>, >
shape: #ttnn.shape<1x24x190x190>
tensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x24x28x28>
tensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x2>>, >
shape: #ttnn.shape<1x24x56x56>
tensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<45x2>>, >
shape: #ttnn.shape<1x24x60x60>
tensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<49x3>>, >
shape: #ttnn.shape<1x24x65x65>
tensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x3>>, >
shape: #ttnn.shape<1x24x80x80>
tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1103x1>>, >
shape: #ttnn.shape<1x2520x14x14>
tensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<552x1>>, >
shape: #ttnn.shape<1x2520x7x7>
tensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<1x256x1024>
tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x256x10x10>
tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<1x256x1280>
tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1024x4>>, >
shape: #ttnn.shape<1x256x128x128>
tensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x256x14x14>
tensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x48>>, >
shape: #ttnn.shape<1x256x1536>
tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x5>>, >
shape: #ttnn.shape<1x256x160>
tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x256x16x16>
tensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<136x1>>, >
shape: #ttnn.shape<1x256x17x17>
tensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x256x256>
tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x256x28x28>
tensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x256x2x2>
tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x96>>, >
shape: #ttnn.shape<1x256x3072>
tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x32>
tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x256x32x32>
tensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<304x2>>, >
shape: #ttnn.shape<1x256x38x38>
tensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<24x1>>, >
shape: #ttnn.shape<1x256x3x3>
tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<1x256x512>
tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x2>>, >
shape: #ttnn.shape<1x256x56x56>
tensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x1>>, >
shape: #ttnn.shape<1x256x5x5>
tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x256x64>
tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x2>>, >
shape: #ttnn.shape<1x256x64x64>
tensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x3>>, >
shape: #ttnn.shape<1x256x75x75>
tensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x256x7x7>
tensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x256x8x8>
tensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<1x257x768>
tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25>
tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x25x768>
tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x26>
tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x272x12x12>
tensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x1>>, >
shape: #ttnn.shape<1x272x7x7>
tensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27>
tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x27x768>
tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x288x14x14>
tensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<153x1>>, >
shape: #ttnn.shape<1x288x17x17>
tensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<171x1>>, >
shape: #ttnn.shape<1x288x19x19>
tensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x288x28x28>
tensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<297x2>>, >
shape: #ttnn.shape<1x288x33x33>
tensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<342x2>>, >
shape: #ttnn.shape<1x288x38x38>
tensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x28>
tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<1x28x28x256>
tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x28x28x28>
tensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x16>>, >
shape: #ttnn.shape<1x28x28x512>
tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x29>
tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x4>>, >
shape: #ttnn.shape<1x300x128>
tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x10>>, >
shape: #ttnn.shape<1x300x320>
tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<1x300x512>
tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<1x300x64>
tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<140x1>>, >
shape: #ttnn.shape<1x320x14x14>
tensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<170x1>>, >
shape: #ttnn.shape<1x320x17x17>
tensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x320x28x28>
tensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x1>>, >
shape: #ttnn.shape<1x320x7x7>
tensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x320x8x8>
tensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32>
tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x32>>, >
shape: #ttnn.shape<1x32x10x1024>
tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x128>>, >
shape: #ttnn.shape<1x32x10x4096>
tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x4>>, >
shape: #ttnn.shape<1x32x112x112>
tensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x4>>, >
shape: #ttnn.shape<1x32x120x120>
tensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x5>>, >
shape: #ttnn.shape<1x32x120x160>
tensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x4>>, >
shape: #ttnn.shape<1x32x128x128>
tensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<130x5>>, >
shape: #ttnn.shape<1x32x130x130>
tensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x5>>, >
shape: #ttnn.shape<1x32x147x147>
tensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<149x5>>, >
shape: #ttnn.shape<1x32x149x149>
tensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<14x1>>, >
shape: #ttnn.shape<1x32x14x14>
tensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x5>>, >
shape: #ttnn.shape<1x32x150x150>
tensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x32x1536>
tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<190x6>>, >
shape: #ttnn.shape<1x32x190x190>
tensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x32>>, >
shape: #ttnn.shape<1x32x20x1024>
tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x8>>, >
shape: #ttnn.shape<1x32x20x256>
tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x128>>, >
shape: #ttnn.shape<1x32x20x4096>
tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x8>>, >
shape: #ttnn.shape<1x32x256x256>
tensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x32x28x28>
tensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x32>>, >
shape: #ttnn.shape<1x32x30x1024>
tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x128>>, >
shape: #ttnn.shape<1x32x30x4096>
tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x2>>, >
shape: #ttnn.shape<1x32x30x40>
tensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x32>>, >
shape: #ttnn.shape<1x32x40x1024>
tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x8>>, >
shape: #ttnn.shape<1x32x40x256>
tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x2>>, >
shape: #ttnn.shape<1x32x40x64>
tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x16>>, >
shape: #ttnn.shape<1x32x512x512>
tensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x2>>, >
shape: #ttnn.shape<1x32x56x56>
tensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x32>>, >
shape: #ttnn.shape<1x32x60x1024>
tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x8>>, >
shape: #ttnn.shape<1x32x60x256>
tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x3>>, >
shape: #ttnn.shape<1x32x60x80>
tensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<75x3>>, >
shape: #ttnn.shape<1x32x75x75>
tensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x32x7x7>
tensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x8>>, >
shape: #ttnn.shape<1x32x80x256>
tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x2>>, >
shape: #ttnn.shape<1x32x80x64>
tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<95x3>>, >
shape: #ttnn.shape<1x32x95x95>
tensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x334x14x14>
tensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x4>>, >
shape: #ttnn.shape<1x336x112x112>
tensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x336x14x14>
tensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x336x24x24>
tensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x2>>, >
shape: #ttnn.shape<1x336x48x48>
tensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x2>>, >
shape: #ttnn.shape<1x336x56x56>
tensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x34x28x28>
tensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<154x1>>, >
shape: #ttnn.shape<1x352x14x14>
tensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x352x28x28>
tensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<99x1>>, >
shape: #ttnn.shape<1x352x9x9>
tensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x36x14x14>
tensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x36x28x28>
tensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x2>>, >
shape: #ttnn.shape<1x36x56x56>
tensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x36x7x7>
tensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1624x1>>, >
shape: #ttnn.shape<1x3712x14x14>
tensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<812x1>>, >
shape: #ttnn.shape<1x3712x7x7>
tensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x1>>, >
shape: #ttnn.shape<1x384x10x10>
tensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x384x14x14>
tensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<204x1>>, >
shape: #ttnn.shape<1x384x17x17>
tensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x384x28x28>
tensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x384x7x7>
tensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<96x1>>, >
shape: #ttnn.shape<1x384x8x8>
tensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x48>>, >
shape: #ttnn.shape<1x4096x1536>
tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<1x4096x320>
tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x12>>, >
shape: #ttnn.shape<1x4096x384>
tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x4096x64>
tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<1x4096x768>
tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x40x14x14>
tensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x40x28x28>
tensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x40x30x30>
tensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x2>>, >
shape: #ttnn.shape<1x40x40x40>
tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x2>>, >
shape: #ttnn.shape<1x40x56x56>
tensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<182x1>>, >
shape: #ttnn.shape<1x416x14x14>
tensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x416x28x28>
tensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x448x12x12>
tensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x448x14x14>
tensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x448x28x28>
tensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x448x8x8>
tensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x45x768>
tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<1x462x7x7>
tensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x46x28x28>
tensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x4>>, >
shape: #ttnn.shape<1x4800x128>
tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x480x10x10>
tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x480x14x14>
tensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<225x1>>, >
shape: #ttnn.shape<1x480x15x15>
tensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x1>>, >
shape: #ttnn.shape<1x480x20x20>
tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x480x28x28>
tensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x1>>, >
shape: #ttnn.shape<1x480x7x7>
tensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<21x1>>, >
shape: #ttnn.shape<1x48x14x14>
tensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x2>>, >
shape: #ttnn.shape<1x48x33x33>
tensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<57x2>>, >
shape: #ttnn.shape<1x48x38x38>
tensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x2>>, >
shape: #ttnn.shape<1x48x56x56>
tensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<11x1>>, >
shape: #ttnn.shape<1x48x7x7>
tensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x50x768>
tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x1>>, >
shape: #ttnn.shape<1x512x14x14>
tensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x1>>, >
shape: #ttnn.shape<1x512x16x16>
tensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x1>>, >
shape: #ttnn.shape<1x512x28x28>
tensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x512x32x32>
tensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<896x2>>, >
shape: #ttnn.shape<1x512x56x56>
tensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x1>>, >
shape: #ttnn.shape<1x512x5x5>
tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x1>>, >
shape: #ttnn.shape<1x512x7x7>
tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x512x8x8>
tensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<281x1>>, >
shape: #ttnn.shape<1x528x17x17>
tensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<238x1>>, >
shape: #ttnn.shape<1x544x14x14>
tensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x56x14x14>
tensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x2>>, >
shape: #ttnn.shape<1x56x48x48>
tensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<1x56x56x128>
tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<252x1>>, >
shape: #ttnn.shape<1x576x14x14>
tensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<342x1>>, >
shape: #ttnn.shape<1x576x19x19>
tensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x1>>, >
shape: #ttnn.shape<1x576x7x7>
tensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<51x1>>, >
shape: #ttnn.shape<1x58x28x28>
tensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x5>
tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x5x1024>
tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<266x1>>, >
shape: #ttnn.shape<1x608x14x14>
tensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<53x1>>, >
shape: #ttnn.shape<1x60x28x28>
tensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<280x1>>, >
shape: #ttnn.shape<1x640x14x14>
tensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<224x4>>, >
shape: #ttnn.shape<1x64x112x112>
tensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<240x5>>, >
shape: #ttnn.shape<1x64x120x160>
tensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<1x64x1280>
tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<256x4>>, >
shape: #ttnn.shape<1x64x128x128>
tensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x5>>, >
shape: #ttnn.shape<1x64x147x147>
tensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x1>>, >
shape: #ttnn.shape<1x64x14x14>
tensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<300x5>>, >
shape: #ttnn.shape<1x64x150x150>
tensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<320x5>>, >
shape: #ttnn.shape<1x64x160x160>
tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x1x1>
tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<448x7>>, >
shape: #ttnn.shape<1x64x224x224>
tensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x8>>, >
shape: #ttnn.shape<1x64x256x256>
tensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<56x1>>, >
shape: #ttnn.shape<1x64x28x28>
tensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<4x1>>, >
shape: #ttnn.shape<1x64x2x2>
tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x2>>, >
shape: #ttnn.shape<1x64x30x40>
tensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<70x2>>, >
shape: #ttnn.shape<1x64x35x35>
tensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<112x2>>, >
shape: #ttnn.shape<1x64x56x56>
tensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<120x3>>, >
shape: #ttnn.shape<1x64x60x80>
tensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x64x64x64>
tensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<146x3>>, >
shape: #ttnn.shape<1x64x73x73>
tensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<160x3>>, >
shape: #ttnn.shape<1x64x80x80>
tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >
shape: #ttnn.shape<1x65536x192>
tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x672x10x10>
tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<294x1>>, >
shape: #ttnn.shape<1x672x14x14>
tensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<315x1>>, >
shape: #ttnn.shape<1x672x15x15>
tensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x672x20x20>
tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<504x1>>, >
shape: #ttnn.shape<1x672x24x24>
tensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<588x1>>, >
shape: #ttnn.shape<1x672x28x28>
tensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1176x2>>, >
shape: #ttnn.shape<1x672x56x56>
tensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<147x1>>, >
shape: #ttnn.shape<1x672x7x7>
tensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x1>>, >
shape: #ttnn.shape<1x672x8x8>
tensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x1>>, >
shape: #ttnn.shape<1x68x14x14>
tensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<119x2>>, >
shape: #ttnn.shape<1x68x56x56>
tensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<609x1>>, >
shape: #ttnn.shape<1x696x28x28>
tensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1218x2>>, >
shape: #ttnn.shape<1x696x56x56>
tensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6>
tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x6x1024>
tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<308x1>>, >
shape: #ttnn.shape<1x704x14x14>
tensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<383x1>>, >
shape: #ttnn.shape<1x720x17x17>
tensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<203x1>>, >
shape: #ttnn.shape<1x720x9x9>
tensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<433x1>>, >
shape: #ttnn.shape<1x728x19x19>
tensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<865x2>>, >
shape: #ttnn.shape<1x728x38x38>
tensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x72x14x14>
tensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<63x1>>, >
shape: #ttnn.shape<1x72x28x28>
tensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<90x2>>, >
shape: #ttnn.shape<1x72x40x40>
tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<126x2>>, >
shape: #ttnn.shape<1x72x56x56>
tensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<16x1>>, >
shape: #ttnn.shape<1x72x7x7>
tensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<180x3>>, >
shape: #ttnn.shape<1x72x80x80>
tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<322x1>>, >
shape: #ttnn.shape<1x736x14x14>
tensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x768>
tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x1>>, >
shape: #ttnn.shape<1x768x14x14>
tensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<69x1>>, >
shape: #ttnn.shape<1x78x28x28>
tensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7>
tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x142>>, >
shape: #ttnn.shape<1x7x4544>
tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x7x768>
tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<1x7x7x1024>
tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x64>>, >
shape: #ttnn.shape<1x7x7x2048>
tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<350x1>>, >
shape: #ttnn.shape<1x800x14x14>
tensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x80x10x10>
tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<35x1>>, >
shape: #ttnn.shape<1x80x14x14>
tensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x80x15x15>
tensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<50x1>>, >
shape: #ttnn.shape<1x80x20x20>
tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<18x1>>, >
shape: #ttnn.shape<1x80x7x7>
tensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<255x1>>, >
shape: #ttnn.shape<1x816x10x10>
tensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<485x1>>, >
shape: #ttnn.shape<1x816x19x19>
tensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<364x1>>, >
shape: #ttnn.shape<1x832x14x14>
tensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<378x1>>, >
shape: #ttnn.shape<1x864x14x14>
tensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x1>>, >
shape: #ttnn.shape<1x88x17x17>
tensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<392x1>>, >
shape: #ttnn.shape<1x896x14x14>
tensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<196x1>>, >
shape: #ttnn.shape<1x896x7x7>
tensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8>
tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<28x4>>, >
shape: #ttnn.shape<1x8x112x112>
tensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x8x768>
tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<406x1>>, >
shape: #ttnn.shape<1x928x14x14>
tensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<203x1>>, >
shape: #ttnn.shape<1x928x7x7>
tensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<41x1>>, >
shape: #ttnn.shape<1x92x14x14>
tensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x1>>, >
shape: #ttnn.shape<1x960x12x12>
tensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<420x1>>, >
shape: #ttnn.shape<1x960x14x14>
tensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<720x1>>, >
shape: #ttnn.shape<1x960x24x24>
tensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<90x1>>, >
shape: #ttnn.shape<1x960x3x3>
tensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<210x1>>, >
shape: #ttnn.shape<1x960x7x7>
tensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<336x4>>, >
shape: #ttnn.shape<1x96x112x112>
tensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<360x4>>, >
shape: #ttnn.shape<1x96x120x120>
tensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<390x5>>, >
shape: #ttnn.shape<1x96x130x130>
tensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<42x1>>, >
shape: #ttnn.shape<1x96x14x14>
tensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<57x1>>, >
shape: #ttnn.shape<1x96x19x19>
tensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<84x1>>, >
shape: #ttnn.shape<1x96x28x28>
tensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<105x2>>, >
shape: #ttnn.shape<1x96x35x35>
tensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<168x2>>, >
shape: #ttnn.shape<1x96x56x56>
tensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<180x2>>, >
shape: #ttnn.shape<1x96x60x60>
tensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<195x3>>, >
shape: #ttnn.shape<1x96x65x65>
tensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<213x3>>, >
shape: #ttnn.shape<1x96x71x71>
tensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<219x3>>, >
shape: #ttnn.shape<1x96x73x73>
tensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<86x1>>, >
shape: #ttnn.shape<1x98x28x28>
tensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<434x1>>, >
shape: #ttnn.shape<1x992x14x14>
tensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<217x1>>, >
shape: #ttnn.shape<1x992x7x7>
tensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9>
tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x9x1024>
tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x9x2048>
tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x9x768>
tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x7x512>
tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x102>>, >
shape: #ttnn.shape<3234>
tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<102x1>>, >
shape: #ttnn.shape<3234x1>
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x10>>, >
shape: #ttnn.shape<3x320x320>
tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<45>
tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<4x1x1024>
tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x2>>, >
shape: #ttnn.shape<4x49x49>
tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5>
tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x2>>, >
shape: #ttnn.shape<64x49x49>
tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<8x2048>
tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x8>>, >
shape: #ttnn.shape<920x1x256>
tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1>
tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x14x3072>
tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x15x1024>
tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x1x3072>
tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x1x4096>
tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x192>>, >
shape: #ttnn.shape<1x32x6144>
tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x96>>, >
shape: #ttnn.shape<1x45x3072>
tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x5x4096>
tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x768>
tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x7x3072>
tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x512>>, >
shape: #ttnn.shape<1x9x16384>
tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x96>>, >
shape: #ttnn.shape<1x9x3072>
tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x256>>, >
shape: #ttnn.shape<1x9x8192>
tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5>
tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5x1>
tensor<[5,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5x5>
tensor<[5,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<5x5>
tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1024>
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x1024x1>
tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x48>>, >
shape: #ttnn.shape<1x1024x1536>
tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x1024x1>
tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x5>>, >
shape: #ttnn.shape<1x1024x160>
tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x1024x1>
tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x96>>, >
shape: #ttnn.shape<1x1024x3072>
tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x1024x1>
tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x20>>, >
shape: #ttnn.shape<1x1024x640>
tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x1>>, >
shape: #ttnn.shape<1x1024x1>
tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<32x24>>, >
shape: #ttnn.shape<1x1024x768>
tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10x1>
tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x10x768>
tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x1>>, >
shape: #ttnn.shape<1x1200x1>
tensor<[1,1200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<38x10>>, >
shape: #ttnn.shape<1x1200x320>
tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1>
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x128>
tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12x1>
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x12x768>
tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x1>>, >
shape: #ttnn.shape<1x1370x1>
tensor<[1,1370,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<43x40>>, >
shape: #ttnn.shape<1x1370x1280>
tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x1>>, >
shape: #ttnn.shape<1x1445x1>
tensor<[1,1445,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<46x6>>, >
shape: #ttnn.shape<1x1445x192>
tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14x1>
tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x14x128>
tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x14x14x1>
tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x14x14x1024>
tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x14x14x1>
tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
shape: #ttnn.shape<1x14x14x512>
tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14x1>
tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x14x768>
tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x1>>, >
shape: #ttnn.shape<1x1500x1>
tensor<[1,1500,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<47x24>>, >
shape: #ttnn.shape<1x1500x768>
tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x1536>
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x1>
tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x6>>, >
shape: #ttnn.shape<1x16384x192>
tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x1>
tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x32>
tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x1>
tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x12>>, >
shape: #ttnn.shape<1x16384x384>
tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x1>>, >
shape: #ttnn.shape<1x16384x1>
tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<512x24>>, >
shape: #ttnn.shape<1x16384x768>
tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16x1>
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x16x768>
tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x1>>, >
shape: #ttnn.shape<1x19200x1>
tensor<[1,19200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<600x2>>, >
shape: #ttnn.shape<1x19200x64>
tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x196x1>
tensor<[1,196,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x196x768>
tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x197x1>
tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x32>>, >
shape: #ttnn.shape<1x197x1024>
tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x197x1>
tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x197x768>
tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1>
tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x1x1024>
tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1>
tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x1x768>
tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x1>>, >
shape: #ttnn.shape<1x201x1>
tensor<[1,201,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x24>>, >
shape: #ttnn.shape<1x201x768>
tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x1>>, >
shape: #ttnn.shape<1x2048x1>
tensor<[1,2048,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<64x24>>, >
shape: #ttnn.shape<1x2048x768>
tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x32>>, >
shape: #ttnn.shape<1x256x1024>
tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x40>>, >
shape: #ttnn.shape<1x256x1280>
tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x48>>, >
shape: #ttnn.shape<1x256x1536>
tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x5>>, >
shape: #ttnn.shape<1x256x160>
tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x256x256>
tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x96>>, >
shape: #ttnn.shape<1x256x3072>
tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x32>
tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x16>>, >
shape: #ttnn.shape<1x256x512>
tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x1>>, >
shape: #ttnn.shape<1x256x1>
tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x2>>, >
shape: #ttnn.shape<1x256x64>
tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x1>>, >
shape: #ttnn.shape<1x257x1>
tensor<[1,257,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<9x24>>, >
shape: #ttnn.shape<1x257x768>
tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25x1>
tensor<[1,25,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x25x768>
tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27x1>
tensor<[1,27,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x27x768>
tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x28x28x1>
tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
shape: #ttnn.shape<1x28x28x256>
tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x1>>, >
shape: #ttnn.shape<1x28x28x1>
tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x16>>, >
shape: #ttnn.shape<1x28x28x512>
tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<1x300x1>
tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x4>>, >
shape: #ttnn.shape<1x300x128>
tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<1x300x1>
tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x10>>, >
shape: #ttnn.shape<1x300x320>
tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<1x300x1>
tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x16>>, >
shape: #ttnn.shape<1x300x512>
tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x1>>, >
shape: #ttnn.shape<1x300x1>
tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x2>>, >
shape: #ttnn.shape<1x300x64>
tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x32>>, >
shape: #ttnn.shape<1x32x10x1024>
tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<10x128>>, >
shape: #ttnn.shape<1x32x10x4096>
tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1>
tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x48>>, >
shape: #ttnn.shape<1x32x1536>
tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x32>>, >
shape: #ttnn.shape<1x32x20x1024>
tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x8>>, >
shape: #ttnn.shape<1x32x20x256>
tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<20x128>>, >
shape: #ttnn.shape<1x32x20x4096>
tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x32>>, >
shape: #ttnn.shape<1x32x30x1024>
tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<30x128>>, >
shape: #ttnn.shape<1x32x30x4096>
tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x32>>, >
shape: #ttnn.shape<1x32x40x1024>
tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x8>>, >
shape: #ttnn.shape<1x32x40x256>
tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<40x2>>, >
shape: #ttnn.shape<1x32x40x64>
tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x32>>, >
shape: #ttnn.shape<1x32x60x1024>
tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<60x8>>, >
shape: #ttnn.shape<1x32x60x256>
tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x8>>, >
shape: #ttnn.shape<1x32x80x256>
tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x32x1x1>
tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<80x2>>, >
shape: #ttnn.shape<1x32x80x64>
tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x4096x1>
tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x48>>, >
shape: #ttnn.shape<1x4096x1536>
tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x4096x1>
tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x10>>, >
shape: #ttnn.shape<1x4096x320>
tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x4096x1>
tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x12>>, >
shape: #ttnn.shape<1x4096x384>
tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x4096x1>
tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x2>>, >
shape: #ttnn.shape<1x4096x64>
tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x1>>, >
shape: #ttnn.shape<1x4096x1>
tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<128x24>>, >
shape: #ttnn.shape<1x4096x768>
tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x45x1>
tensor<[1,45,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x45x768>
tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x1>>, >
shape: #ttnn.shape<1x4800x1>
tensor<[1,4800,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<150x4>>, >
shape: #ttnn.shape<1x4800x128>
tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x50x1>
tensor<[1,50,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x24>>, >
shape: #ttnn.shape<1x50x768>
tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x1>>, >
shape: #ttnn.shape<1x56x56x1>
tensor<[1,56,56,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
shape: #ttnn.shape<1x56x56x128>
tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x5x1>
tensor<[1,5,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x5x1024>
tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x64x1>
tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x40>>, >
shape: #ttnn.shape<1x64x1280>
tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x1>>, >
shape: #ttnn.shape<1x65536x1>
tensor<[1,65536,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >
shape: #ttnn.shape<1x65536x192>
tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6x1>
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x6x1024>
tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1>
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x768>
tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7x1>
tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x142>>, >
shape: #ttnn.shape<1x7x4544>
tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7x1>
tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x7x768>
tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x7x7x1>
tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
shape: #ttnn.shape<1x7x7x1024>
tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x1>>, >
shape: #ttnn.shape<1x7x7x1>
tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x64>>, >
shape: #ttnn.shape<1x7x7x2048>
tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8x1>
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x8x768>
tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9x1>
tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<1x9x1024>
tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9x1>
tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x9x128>
tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9x1>
tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<1x9x2048>
tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9x1>
tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x128>>, >
shape: #ttnn.shape<1x9x4096>
tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9x1>
tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<1x9x768>
tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x7x1>
tensor<[2,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x16>>, >
shape: #ttnn.shape<2x7x512>
tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<4x1x1>
tensor<[4,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x32>>, >
shape: #ttnn.shape<4x1x1024>
tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x1>>, >
shape: #ttnn.shape<920x1x1>
tensor<[920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<29x8>>, >
shape: #ttnn.shape<920x1x256>
tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<25x2>>, >
shape: #ttnn.shape<16x49x49>
tensor<[16,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x10>
tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x11>
tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x12>
tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x13>
tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<3x14>
tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<4x14>
tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<7x14>
tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x14>
tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x15>
tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x16>
tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x17>
tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x18>
tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x19>
tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x10x10>
tensor<[1,1,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x12x12>
tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x13x13>
tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x14x14>
tensor<[1,1,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x16x16>
tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x10>
tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x11>
tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x12>
tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x13>
tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x14>
tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x15>
tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x16>
tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x17>
tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x18>
tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x19>
tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x20>
tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x21>
tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x22>
tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x23>
tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x24>
tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x25>
tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x26>
tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x27>
tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x28>
tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x29>
tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x46>
tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x46>
tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x47>
tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x47>
tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x48>
tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x48>
tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x49>
tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x49>
tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x50>
tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x50>
tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x51>
tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x51>
tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x52>
tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x52>
tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x53>
tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x53>
tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x54>
tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x54>
tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x55>
tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x55>
tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x56>
tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x56>
tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x57>
tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x57>
tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x58>
tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x58>
tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x59>
tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x59>
tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x60>
tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x60>
tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x61>
tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x61>
tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x62>
tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x62>
tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x63>
tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x63>
tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x12x1x64>
tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<1x1x1x64>
tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x65>
tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x65>
tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x66>
tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x66>
tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x67>
tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x67>
tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x68>
tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x68>
tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x69>
tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x69>
tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x6>
tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x70>
tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x70>
tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x71>
tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x71>
tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x72>
tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x72>
tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x73>
tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x73>
tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x74>
tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x74>
tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x75>
tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x75>
tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x76>
tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x76>
tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x77>
tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x77>
tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x78>
tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x78>
tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x79>
tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x79>
tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x7>
tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x80>
tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x80>
tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x81>
tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x81>
tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x82>
tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x82>
tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x83>
tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x83>
tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x84>
tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x84>
tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x85>
tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x85>
tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x86>
tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x86>
tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x87>
tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x87>
tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x88>
tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x88>
tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x89>
tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x89>
tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x8>
tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x90>
tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x90>
tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x91>
tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x91>
tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x92>
tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x92>
tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x93>
tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x93>
tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x94>
tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x94>
tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x95>
tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x95>
tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x12x1x96>
tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x3>>, >
shape: #ttnn.shape<1x1x1x96>
tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x97>
tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x1x97>
tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x98>
tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x1x98>
tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x12x1x99>
tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x4>>, >
shape: #ttnn.shape<1x1x1x99>
tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x1x9>
tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<8x8>>, >
shape: #ttnn.shape<1x1x256x256>
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x25x25>
tensor<[1,1,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x32x32>
tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<17x2>>, >
shape: #ttnn.shape<1x12x45x45>
tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<1x1x45x45>
tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x5x5>
tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x6x6>
tensor<[1,1,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x7x7>
tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x1x9x9>
tensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x20>
tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x21>
tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x22>
tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x23>
tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x24>
tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x25>
tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x26>
tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x27>
tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<21x28>
tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<3x28>
tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<4x28>
tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x28>
tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x29>
tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1571>>, >
shape: #ttnn.shape<1x50257>
tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<3x56>
tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<49x56>
tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x2>>, >
shape: #ttnn.shape<4x56>
tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x5>
tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x6>
tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x7>
tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x8>
tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<1x9>
tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<28x28>
tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<2x1x7x7>
tensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<4x1x1x13>
tensor<[4,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<7x2>>, >
shape: #ttnn.shape<4x49x49>
tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<2x2>>, >
shape: #ttnn.shape<56x56>
tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<98x2>>, >
shape: #ttnn.shape<64x49x49>
tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<6x6>
tensor<[6,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x1>
tensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x64>>, >
shape: #ttnn.shape<8x2048>
tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x1>>, >
shape: #ttnn.shape<8x2>
tensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.empty!tt.device<#device>dtype: #tt.supportedDataTypes
layout: #ttnn.layout
memory_config: #ttnn.memory_config<#dram, <<1x24>>, >
shape: #ttnn.shape<2x13x768>
tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan

ttnn.eq

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.eqtensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1500,1500,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,50,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1370,1370,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,1445,1445,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,8,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[4,16,1,1,f32]>
tensor<[4,16,1,1,f32]>
tensor<[4,16,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,10,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,11,ui32]>
tensor<[1,11,ui32]>
tensor<[1,11,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,12,ui32]>
tensor<[1,12,ui32]>
tensor<[1,12,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,13,ui32]>
tensor<[1,13,ui32]>
tensor<[1,13,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,14,ui32]>
tensor<[1,14,ui32]>
tensor<[1,14,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,15,ui32]>
tensor<[1,15,ui32]>
tensor<[1,15,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,16,ui32]>
tensor<[1,16,ui32]>
tensor<[1,16,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,17,ui32]>
tensor<[1,17,ui32]>
tensor<[1,17,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,18,ui32]>
tensor<[1,18,ui32]>
tensor<[1,18,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,19,ui32]>
tensor<[1,19,ui32]>
tensor<[1,19,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,12,12,bf16]>
tensor<[1,1,12,12,bf16]>
tensor<[1,1,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,13,13,bf16]>
tensor<[1,1,13,13,bf16]>
tensor<[1,1,13,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,46,bf16]>
tensor<[1,1,1,46,bf16]>
tensor<[1,1,1,46,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,47,bf16]>
tensor<[1,1,1,47,bf16]>
tensor<[1,1,1,47,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,48,bf16]>
tensor<[1,1,1,48,bf16]>
tensor<[1,1,1,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,49,bf16]>
tensor<[1,1,1,49,bf16]>
tensor<[1,1,1,49,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,50,bf16]>
tensor<[1,1,1,50,bf16]>
tensor<[1,1,1,50,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,51,bf16]>
tensor<[1,1,1,51,bf16]>
tensor<[1,1,1,51,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,52,bf16]>
tensor<[1,1,1,52,bf16]>
tensor<[1,1,1,52,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,53,bf16]>
tensor<[1,1,1,53,bf16]>
tensor<[1,1,1,53,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,54,bf16]>
tensor<[1,1,1,54,bf16]>
tensor<[1,1,1,54,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,55,bf16]>
tensor<[1,1,1,55,bf16]>
tensor<[1,1,1,55,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,56,bf16]>
tensor<[1,1,1,56,bf16]>
tensor<[1,1,1,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,57,bf16]>
tensor<[1,1,1,57,bf16]>
tensor<[1,1,1,57,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,58,bf16]>
tensor<[1,1,1,58,bf16]>
tensor<[1,1,1,58,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,59,bf16]>
tensor<[1,1,1,59,bf16]>
tensor<[1,1,1,59,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,60,bf16]>
tensor<[1,1,1,60,bf16]>
tensor<[1,1,1,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,61,bf16]>
tensor<[1,1,1,61,bf16]>
tensor<[1,1,1,61,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,62,bf16]>
tensor<[1,1,1,62,bf16]>
tensor<[1,1,1,62,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,63,bf16]>
tensor<[1,1,1,63,bf16]>
tensor<[1,1,1,63,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,64,bf16]>
tensor<[1,1,1,64,bf16]>
tensor<[1,1,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,65,bf16]>
tensor<[1,1,1,65,bf16]>
tensor<[1,1,1,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,66,bf16]>
tensor<[1,1,1,66,bf16]>
tensor<[1,1,1,66,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,67,bf16]>
tensor<[1,1,1,67,bf16]>
tensor<[1,1,1,67,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,68,bf16]>
tensor<[1,1,1,68,bf16]>
tensor<[1,1,1,68,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,69,bf16]>
tensor<[1,1,1,69,bf16]>
tensor<[1,1,1,69,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,6,bf16]>
tensor<[1,1,1,6,bf16]>
tensor<[1,1,1,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,70,bf16]>
tensor<[1,1,1,70,bf16]>
tensor<[1,1,1,70,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,71,bf16]>
tensor<[1,1,1,71,bf16]>
tensor<[1,1,1,71,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,72,bf16]>
tensor<[1,1,1,72,bf16]>
tensor<[1,1,1,72,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,73,bf16]>
tensor<[1,1,1,73,bf16]>
tensor<[1,1,1,73,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,74,bf16]>
tensor<[1,1,1,74,bf16]>
tensor<[1,1,1,74,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,75,bf16]>
tensor<[1,1,1,75,bf16]>
tensor<[1,1,1,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,76,bf16]>
tensor<[1,1,1,76,bf16]>
tensor<[1,1,1,76,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,77,bf16]>
tensor<[1,1,1,77,bf16]>
tensor<[1,1,1,77,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,78,bf16]>
tensor<[1,1,1,78,bf16]>
tensor<[1,1,1,78,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,79,bf16]>
tensor<[1,1,1,79,bf16]>
tensor<[1,1,1,79,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,80,bf16]>
tensor<[1,1,1,80,bf16]>
tensor<[1,1,1,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,81,bf16]>
tensor<[1,1,1,81,bf16]>
tensor<[1,1,1,81,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,82,bf16]>
tensor<[1,1,1,82,bf16]>
tensor<[1,1,1,82,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,83,bf16]>
tensor<[1,1,1,83,bf16]>
tensor<[1,1,1,83,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,84,bf16]>
tensor<[1,1,1,84,bf16]>
tensor<[1,1,1,84,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,85,bf16]>
tensor<[1,1,1,85,bf16]>
tensor<[1,1,1,85,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,86,bf16]>
tensor<[1,1,1,86,bf16]>
tensor<[1,1,1,86,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,87,bf16]>
tensor<[1,1,1,87,bf16]>
tensor<[1,1,1,87,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,88,bf16]>
tensor<[1,1,1,88,bf16]>
tensor<[1,1,1,88,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,89,bf16]>
tensor<[1,1,1,89,bf16]>
tensor<[1,1,1,89,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,90,bf16]>
tensor<[1,1,1,90,bf16]>
tensor<[1,1,1,90,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,91,bf16]>
tensor<[1,1,1,91,bf16]>
tensor<[1,1,1,91,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,92,bf16]>
tensor<[1,1,1,92,bf16]>
tensor<[1,1,1,92,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,93,bf16]>
tensor<[1,1,1,93,bf16]>
tensor<[1,1,1,93,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,94,bf16]>
tensor<[1,1,1,94,bf16]>
tensor<[1,1,1,94,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,95,bf16]>
tensor<[1,1,1,95,bf16]>
tensor<[1,1,1,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,96,bf16]>
tensor<[1,1,1,96,bf16]>
tensor<[1,1,1,96,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,97,bf16]>
tensor<[1,1,1,97,bf16]>
tensor<[1,1,1,97,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,98,bf16]>
tensor<[1,1,1,98,bf16]>
tensor<[1,1,1,98,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,99,bf16]>
tensor<[1,1,1,99,bf16]>
tensor<[1,1,1,99,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,32,32,bf16]>
tensor<[1,1,32,32,bf16]>
tensor<[1,1,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,45,45,bf16]>
tensor<[1,1,45,45,bf16]>
tensor<[1,1,45,45,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,5,5,bf16]>
tensor<[1,1,5,5,bf16]>
tensor<[1,1,5,5,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,1,7,7,bf16]>
tensor<[1,1,7,7,bf16]>
tensor<[1,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,20,ui32]>
tensor<[1,20,ui32]>
tensor<[1,20,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,21,ui32]>
tensor<[1,21,ui32]>
tensor<[1,21,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,22,ui32]>
tensor<[1,22,ui32]>
tensor<[1,22,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,23,ui32]>
tensor<[1,23,ui32]>
tensor<[1,23,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,24,ui32]>
tensor<[1,24,ui32]>
tensor<[1,24,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,25,ui32]>
tensor<[1,25,ui32]>
tensor<[1,25,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,26,ui32]>
tensor<[1,26,ui32]>
tensor<[1,26,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,27,ui32]>
tensor<[1,27,ui32]>
tensor<[1,27,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,28,ui32]>
tensor<[1,28,ui32]>
tensor<[1,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,29,ui32]>
tensor<[1,29,ui32]>
tensor<[1,29,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,5,ui32]>
tensor<[1,5,ui32]>
tensor<[1,5,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,6,ui32]>
tensor<[1,6,ui32]>
tensor<[1,6,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,7,ui32]>
tensor<[1,7,ui32]>
tensor<[1,7,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,7,ui32]>
tensor<[1,7,ui32]>
tensor<[1,7,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,8,ui32]>
tensor<[1,8,ui32]>
tensor<[1,8,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[1,9,ui32]>
tensor<[1,9,ui32]>
tensor<[1,9,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[8,1,ui32]>
tensor<[8,1,ui32]>
tensor<[8,1,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.eqtensor<[8,2,ui32]>
tensor<[8,2,ui32]>
tensor<[8,2,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan

ttnn.exp

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.exptensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[4,16,1,1,f32]>
tensor<[4,16,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[121,6,144,144,f32]>
tensor<[121,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[16,8,49,49,f32]>
tensor<[16,8,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[16,8,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,10,10,f32]>
tensor<[1,12,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,10,f32]>
tensor<[1,12,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,11,f32]>
tensor<[1,12,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,12,f32]>
tensor<[1,12,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,1,f32]>
tensor<[1,12,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,2,f32]>
tensor<[1,12,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,3,f32]>
tensor<[1,12,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,46,f32]>
tensor<[1,12,1,46,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,47,f32]>
tensor<[1,12,1,47,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,48,f32]>
tensor<[1,12,1,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,49,f32]>
tensor<[1,12,1,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,4,f32]>
tensor<[1,12,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,50,f32]>
tensor<[1,12,1,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,51,f32]>
tensor<[1,12,1,51,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,52,f32]>
tensor<[1,12,1,52,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,53,f32]>
tensor<[1,12,1,53,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,54,f32]>
tensor<[1,12,1,54,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,55,f32]>
tensor<[1,12,1,55,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,56,f32]>
tensor<[1,12,1,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,57,f32]>
tensor<[1,12,1,57,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,58,f32]>
tensor<[1,12,1,58,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,59,f32]>
tensor<[1,12,1,59,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,5,f32]>
tensor<[1,12,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,60,f32]>
tensor<[1,12,1,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,61,f32]>
tensor<[1,12,1,61,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,62,f32]>
tensor<[1,12,1,62,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,63,f32]>
tensor<[1,12,1,63,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,64,f32]>
tensor<[1,12,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,65,f32]>
tensor<[1,12,1,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,66,f32]>
tensor<[1,12,1,66,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,67,f32]>
tensor<[1,12,1,67,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,68,f32]>
tensor<[1,12,1,68,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,69,f32]>
tensor<[1,12,1,69,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,6,f32]>
tensor<[1,12,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,70,f32]>
tensor<[1,12,1,70,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,71,f32]>
tensor<[1,12,1,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,72,f32]>
tensor<[1,12,1,72,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,73,f32]>
tensor<[1,12,1,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,74,f32]>
tensor<[1,12,1,74,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,75,f32]>
tensor<[1,12,1,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,76,f32]>
tensor<[1,12,1,76,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,77,f32]>
tensor<[1,12,1,77,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,78,f32]>
tensor<[1,12,1,78,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,79,f32]>
tensor<[1,12,1,79,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,7,f32]>
tensor<[1,12,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,80,f32]>
tensor<[1,12,1,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,81,f32]>
tensor<[1,12,1,81,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,82,f32]>
tensor<[1,12,1,82,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,83,f32]>
tensor<[1,12,1,83,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,84,f32]>
tensor<[1,12,1,84,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,85,f32]>
tensor<[1,12,1,85,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,86,f32]>
tensor<[1,12,1,86,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,87,f32]>
tensor<[1,12,1,87,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,88,f32]>
tensor<[1,12,1,88,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,89,f32]>
tensor<[1,12,1,89,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,8,f32]>
tensor<[1,12,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,90,f32]>
tensor<[1,12,1,90,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,91,f32]>
tensor<[1,12,1,91,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,92,f32]>
tensor<[1,12,1,92,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,93,f32]>
tensor<[1,12,1,93,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,94,f32]>
tensor<[1,12,1,94,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,95,f32]>
tensor<[1,12,1,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,96,f32]>
tensor<[1,12,1,96,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,97,f32]>
tensor<[1,12,1,97,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,98,f32]>
tensor<[1,12,1,98,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,99,f32]>
tensor<[1,12,1,99,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,1,9,f32]>
tensor<[1,12,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,201,201,f32]>
tensor<[1,12,201,201,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,201,201,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,257,257,f32]>
tensor<[1,12,257,257,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,257,257,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,45,45,f32]>
tensor<[1,12,45,45,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,12,8,8,f32]>
tensor<[1,12,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,10,10,f32]>
tensor<[1,16,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,197,197,f32]>
tensor<[1,16,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,1,f32]>
tensor<[1,16,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,2,f32]>
tensor<[1,16,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,3,f32]>
tensor<[1,16,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,4,f32]>
tensor<[1,16,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,5,f32]>
tensor<[1,16,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,6,f32]>
tensor<[1,16,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,32,32,f32]>
tensor<[1,16,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,16,5,5,f32]>
tensor<[1,16,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,1,16384,256,f32]>
tensor<[1,1,16384,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,16384,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,1,19200,300,f32]>
tensor<[1,1,19200,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,19200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,27,257,f32]>
tensor<[1,27,257,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,27,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,2,4096,256,f32]>
tensor<[1,2,4096,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2,4096,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,2,4800,300,f32]>
tensor<[1,2,4800,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2,4800,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,32,49,49,f32]>
tensor<[1,32,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,50257,f32]>
tensor<[1,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,5,1024,256,f32]>
tensor<[1,5,1024,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,5,1024,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,5,1200,300,f32]>
tensor<[1,5,1200,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,5,1200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,15,15,f32]>
tensor<[1,6,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,10,f32]>
tensor<[1,6,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,11,f32]>
tensor<[1,6,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,12,f32]>
tensor<[1,6,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,13,f32]>
tensor<[1,6,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,14,f32]>
tensor<[1,6,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,15,f32]>
tensor<[1,6,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,16,f32]>
tensor<[1,6,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,17,f32]>
tensor<[1,6,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,18,f32]>
tensor<[1,6,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,19,f32]>
tensor<[1,6,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,1,f32]>
tensor<[1,6,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,20,f32]>
tensor<[1,6,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,2,f32]>
tensor<[1,6,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,3,f32]>
tensor<[1,6,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,4,f32]>
tensor<[1,6,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,5,f32]>
tensor<[1,6,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,6,f32]>
tensor<[1,6,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,7,f32]>
tensor<[1,6,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,8,f32]>
tensor<[1,6,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,6,1,9,f32]>
tensor<[1,6,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,10,10,f32]>
tensor<[1,8,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,10,f32]>
tensor<[1,8,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,11,f32]>
tensor<[1,8,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,12,f32]>
tensor<[1,8,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,13,f32]>
tensor<[1,8,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,14,f32]>
tensor<[1,8,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,15,f32]>
tensor<[1,8,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,16,f32]>
tensor<[1,8,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,17,f32]>
tensor<[1,8,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,18,f32]>
tensor<[1,8,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,19,f32]>
tensor<[1,8,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,1,f32]>
tensor<[1,8,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,20,f32]>
tensor<[1,8,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,2,f32]>
tensor<[1,8,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,3,f32]>
tensor<[1,8,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,4,f32]>
tensor<[1,8,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,5,f32]>
tensor<[1,8,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,6,f32]>
tensor<[1,8,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,7,f32]>
tensor<[1,8,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,8,f32]>
tensor<[1,8,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,1,9,f32]>
tensor<[1,8,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,2048,256,f32]>
tensor<[1,8,2048,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,2048,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,256,2048,f32]>
tensor<[1,8,256,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,256,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,8,300,300,f32]>
tensor<[1,8,300,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,300,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[2,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[36,12,144,144,f32]>
tensor<[36,12,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[36,24,144,144,f32]>
tensor<[36,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[484,6,144,144,f32]>
tensor<[484,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[4,16,49,49,f32]>
tensor<[4,16,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[4,16,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[4,48,144,144,f32]>
tensor<[4,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[64,1,13,f32]>
tensor<[64,1,13,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[64,4,49,49,f32]>
tensor<[64,4,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[64,4,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[8,100,100,f32]>
tensor<[8,100,100,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[8,100,100,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[8,100,920,f32]>
tensor<[8,100,920,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[8,100,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[8,920,920,f32]>
tensor<[8,920,920,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[8,920,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[9,24,144,144,f32]>
tensor<[9,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[9,48,144,144,f32]>
tensor<[9,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3072,10,16,f32]>
tensor<[1,3072,10,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3072,11,16,f32]>
tensor<[1,3072,11,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3072,12,16,f32]>
tensor<[1,3072,12,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3072,13,16,f32]>
tensor<[1,3072,13,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3072,14,16,f32]>
tensor<[1,3072,14,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3072,15,16,f32]>
tensor<[1,3072,15,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3072,6,16,f32]>
tensor<[1,3072,6,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3072,7,16,f32]>
tensor<[1,3072,7,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3072,8,16,f32]>
tensor<[1,3072,8,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,3072,9,16,f32]>
tensor<[1,3072,9,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[3072,16,f32]>
tensor<[3072,16,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[3072,16,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[3234,1,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.exptensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.exptensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.exptensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.exptensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.exptensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.exptensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.exptensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.exptensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.exptensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan

ttnn.from_device

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'ui32', 'dram')tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 11, 'ui32', 'dram')tensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 11, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,11,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'ui32', 'dram')tensor<[1,1,1,11,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'dram')tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 12, 'ui32', 'dram')tensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 13, 'ui32', 'dram')tensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 13, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 13, 'ui32', 'dram')tensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 13, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 14, 'ui32', 'dram')tensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 14, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 14, 'ui32', 'dram')tensor<[1,1,1,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 14, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 15, 'ui32', 'dram')tensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 15, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,15,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 15, 'ui32', 'dram')tensor<[1,1,1,15,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 15, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'ui32', 'dram')tensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'ui32', 'dram')tensor<[1,1,1,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 17, 'ui32', 'dram')tensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 17, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,17,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 17, 'ui32', 'dram')tensor<[1,1,1,17,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 17, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'ui32', 'dram')tensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,18,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 18, 'ui32', 'dram')tensor<[1,1,1,18,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 18, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 19, 'ui32', 'dram')tensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 19, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,19,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 19, 'ui32', 'dram')tensor<[1,1,1,19,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 19, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'ui32', 'dram')tensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,20,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 20, 'ui32', 'dram')tensor<[1,1,1,20,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 20, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 21, 'ui32', 'dram')tensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 21, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,21,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 21, 'ui32', 'dram')tensor<[1,1,1,21,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 21, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 22, 'ui32', 'dram')tensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 22, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,22,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'ui32', 'dram')tensor<[1,1,1,22,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 23, 'ui32', 'dram')tensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 23, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,23,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 23, 'ui32', 'dram')tensor<[1,1,1,23,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 23, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'ui32', 'dram')tensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,24,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'ui32', 'dram')tensor<[1,1,1,24,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 25, 'ui32', 'dram')tensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 25, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 25, 'ui32', 'dram')tensor<[1,1,1,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 25, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 26, 'ui32', 'dram')tensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 26, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,26,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 26, 'ui32', 'dram')tensor<[1,1,1,26,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 26, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 27, 'ui32', 'dram')tensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 27, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,27,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 27, 'ui32', 'dram')tensor<[1,1,1,27,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 27, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 28, 'ui32', 'dram')tensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 28, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,28,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 28, 'ui32', 'dram')tensor<[1,1,1,28,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 28, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 29, 'ui32', 'dram')tensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 29, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,29,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 29, 'ui32', 'dram')tensor<[1,1,1,29,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 29, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'ui32', 'dram')tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'ui32', 'dram')tensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 5, 'ui32', 'dram')tensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'ui32', 'dram')tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'ui32', 'dram')tensor<[1,1,1,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 7, 'ui32', 'dram')tensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 7, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'ui32', 'dram')tensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'ui32', 'dram')tensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,8,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'ui32', 'dram')tensor<[1,1,1,8,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 9, 'ui32', 'dram')tensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 9, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 9, 'ui32', 'dram')tensor<[1,1,1,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 9, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'ui32', 'dram')tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'ui32', 'dram')tensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[256,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')tensor<[256,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')tensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'f32', 'dram')tensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 546, 'f32', 'dram')tensor<[1,1,1,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 546, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')tensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,2,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 128, 'f32', 'dram')tensor<[1,2,2,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 128, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')tensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')tensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,160,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 64, 'f32', 'dram')tensor<[1,160,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 64, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')tensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')tensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 240, 'f32', 'dram')tensor<[1,20,20,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 240, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')tensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,5,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 256, 'f32', 'dram')tensor<[1,5,5,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 256, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,2,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 24, 'f32', 'dram')tensor<[1,2,2,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 24, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')tensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,2,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 546, 'f32', 'dram')tensor<[1,2,2,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 546, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,2,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 64, 'f32', 'dram')tensor<[1,2,2,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 64, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')tensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,3,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 24, 'f32', 'dram')tensor<[1,3,3,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 24, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')tensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,3,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 546, 'f32', 'dram')tensor<[1,3,3,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 546, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1024,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1024,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')tensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[768,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'dram')tensor<[768,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')tensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,40,40,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 240, 'f32', 'dram')tensor<[1,40,40,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 240, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,10,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 24, 'f32', 'dram')tensor<[1,10,10,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 24, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,10,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 256, 'f32', 'dram')tensor<[1,10,10,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 256, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,10,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 546, 'f32', 'dram')tensor<[1,10,10,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 546, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')tensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')tensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')tensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,5,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 128, 'f32', 'dram')tensor<[1,5,5,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 128, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,5,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 24, 'f32', 'dram')tensor<[1,5,5,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 24, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')tensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,5,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 546, 'f32', 'dram')tensor<[1,5,5,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 546, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,80,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 64, 'f32', 'dram')tensor<[1,80,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 64, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'f32', 'dram')tensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')tensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')tensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')tensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 24, 'f32', 'dram')tensor<[1,20,20,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 24, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 546, 'f32', 'dram')tensor<[1,20,20,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 546, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,10,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 672, 'f32', 'dram')tensor<[1,10,10,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 672, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')tensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')tensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,40,40,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 72, 'f32', 'dram')tensor<[1,40,40,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 72, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[768,768,3,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 3 + d2, d3), memory_config: (55296, 1, 'tile<32x32, bf16>', 'dram')tensor<[768,768,3,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 3 + d2, d3), memory_config: (55296, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3072,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'dram')tensor<[3072,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[768,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (4608, 1, 'tile<32x32, bf16>', 'dram')tensor<[768,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (4608, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[768,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'dram')tensor<[768,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')tensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')tensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')tensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[768,80,3,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 3 + d2, d3), memory_config: (5760, 1, 'tile<32x32, bf16>', 'dram')tensor<[768,80,3,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 3 + d2, d3), memory_config: (5760, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[2,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[2,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2048,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, u32>', 'dram')tensor<[1,2048,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, u32>', 'dram')tensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,193,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, u32>', 'dram')tensor<[1,193,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, u32>', 'dram')tensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[2,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[2,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[2,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[2,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,5041,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 5041 + d2, d3), memory_config: (158, 6, 'tile<32x32, bf16>', 'dram')tensor<[1,1,5041,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 5041 + d2, d3), memory_config: (158, 6, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')tensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,784,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')tensor<[1,1,784,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')tensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1225,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')tensor<[1,1,1225,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'dram')tensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,196,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,1,196,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,49,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,1,49,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,196,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'dram')tensor<[1,1,196,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,49,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'dram')tensor<[1,1,49,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,21609,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,21609,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,576,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,576,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,144,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,144,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,230400,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 230400 + d2, d3), memory_config: (7200, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,230400,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 230400 + d2, d3), memory_config: (7200, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,196,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 26, 'tile<32x32, bf16>', 'dram')tensor<[1,1,196,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 26, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1024, 'f32', 'dram')tensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1024, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1536, 'f32', 'dram')tensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 256, 'f32', 'dram')tensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 256, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'f32', 'dram')tensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3234, 'f32', 'dram')tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3234, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3584, 'f32', 'dram')tensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3584, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4096, 'f32', 'dram')tensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4096, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 51200, 'f32', 'dram')tensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 51200, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 512, 'f32', 'dram')tensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 512, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'dram')tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'dram')tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')tensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 192, 'f32', 'dram')tensor<[1,6,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,126,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 192, 'f32', 'dram')tensor<[1,126,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 192, 'f32', 'dram')tensor<[1,132,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,126,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 192, 'f32', 'dram')tensor<[1,132,126,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')tensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'dram')tensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')tensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'dram')tensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'dram')tensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')tensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'dram')tensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')tensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')tensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')tensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')tensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')tensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'system_memory')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.from_devicetensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')tensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')tensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')tensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')tensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')tensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')tensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')tensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')tensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')tensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')tensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')tensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')tensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')tensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')tensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')tensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')tensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')tensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')tensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')tensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')tensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')tensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'dram')tensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')tensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'dram')tensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'dram')tensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')tensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'dram')tensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')tensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')tensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'dram')tensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')tensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'dram')tensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'dram')tensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')tensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'dram')tensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')tensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')tensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'dram')tensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')tensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'dram')tensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'dram')tensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')tensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'dram')tensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')tensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')tensor<[1,10,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')tensor<[1,11,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')tensor<[1,12,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')tensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')tensor<[1,13,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')tensor<[1,14,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')tensor<[1,15,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (48, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (48, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (48, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (48, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (48, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (48, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,45,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1571, 'tile<32x32, bf16>', 'dram')tensor<[1,45,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1571, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')tensor<[1,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'f32', 'dram')tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')tensor<[1,5,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1600, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 51200, 'f32', 'dram')tensor<[1,1,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 51200, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')tensor<[1,6,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')tensor<[1,6,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')tensor<[1,7,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')tensor<[1,8,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')tensor<[1,9,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (19602, 1, 'tile<32x32, f32>', 'dram')tensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (19602, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (19602, 1, 'tile<32x32, f32>', 'dram')tensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (19602, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (19602, 1, 'tile<32x32, f32>', 'dram')tensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (19602, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'dram')tensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'dram')tensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'dram')tensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'dram')tensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'dram')tensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'dram')tensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'dram')tensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'dram')tensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'dram')tensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')tensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')tensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')tensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'dram')tensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'dram')tensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'dram')tensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'dram')tensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'dram')tensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'dram')tensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'dram')tensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'dram')tensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'dram')tensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'dram')tensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'dram')tensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'dram')tensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')tensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')tensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')tensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')tensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[6,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')tensor<[6,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[8,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')tensor<[8,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[8,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'f32', 'dram')tensor<[8,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[16,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')tensor<[16,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'system_memory')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.from_devicetensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'dram')tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[16,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')tensor<[16,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'dram')tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 160, 'tile<32x32, bf16>', 'dram')tensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 160, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 160, 'tile<32x32, bf16>', 'dram')tensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 160, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 6, 'tile<32x32, f32>', 'dram')tensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 12, 'tile<32x32, f32>', 'dram')tensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'dram')tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'dram')tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'dram')tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')tensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 192, 'f32', 'dram')tensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 384, 'f32', 'dram')tensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')tensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (13, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (13, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (13, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (13, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 48, 'tile<32x32, f32>', 'dram')tensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,16,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1536, 'f32', 'dram')tensor<[1,16,16,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'dram')tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'dram')tensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'dram')tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'dram')tensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (162, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (162, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (162, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (162, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')tensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'dram')tensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'dram')tensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (384, 1536, 'f32', 'dram')tensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (384, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 320, 'tile<32x32, bf16>', 'dram')tensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 320, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 320, 'tile<32x32, bf16>', 'dram')tensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 320, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (2112, 6, 'tile<32x32, f32>', 'dram')tensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (2112, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (67584, 192, 'f32', 'dram')tensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (67584, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (49, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (49, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (49, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (49, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,3072,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,3072,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,3072,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 48, 'tile<32x32, f32>', 'dram')tensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1536, 'f32', 'dram')tensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 24, 'tile<32x32, f32>', 'dram')tensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'dram')tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'dram')tensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'dram')tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'dram')tensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 1536, 'f32', 'dram')tensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 1536, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 768, 'f32', 'dram')tensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 80, 'tile<32x32, bf16>', 'dram')tensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 80, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 80, 'tile<32x32, bf16>', 'dram')tensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 80, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')tensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'dram')tensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')tensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'dram')tensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')tensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')tensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 320, 'tile<32x32, bf16>', 'dram')tensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 320, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 320, 'tile<32x32, bf16>', 'dram')tensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 320, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'dram')tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'dram')tensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'dram')tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'dram')tensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'dram')tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'dram')tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 12, 'tile<32x32, f32>', 'dram')tensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 24, 'tile<32x32, f32>', 'dram')tensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'dram')tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 384, 'f32', 'dram')tensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 384, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 768, 'f32', 'dram')tensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 768, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (4, 16, 'tile<32x32, bf16>', 'dram')tensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (4, 16, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (4, 16, 'tile<32x32, bf16>', 'dram')tensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (4, 16, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 72, 'tile<32x32, bf16>', 'dram')tensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 72, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 72, 'tile<32x32, bf16>', 'dram')tensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 72, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 72, 'tile<32x32, bf16>', 'dram')tensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 72, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,7,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 511 + d1 * 73 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')tensor<[1,7,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 511 + d1 * 73 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')tensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')tensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')tensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')tensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'dram')tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'dram')tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.from_devicetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')nannan
ttnn.from_devicetensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')nannan
ttnn.from_devicetensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')tensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.from_devicetensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'ui32', 'dram')tensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'dram')tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'dram')tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 5, 'ui32', 'dram')tensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.from_devicetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')nannan

ttnn.full

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0xFF800000 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16,8,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,201,201,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,257,257,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,16384,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,19200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,27,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,4096,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,4800,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,1024,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,1200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,2048,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,256,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,300,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,16,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[64,4,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,100,100,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,100,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,920,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999997E-7 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999997E-7 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999997E-7 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999997E-7 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999997E-7 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999997E-7 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999997E-7 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.000000e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0879999995 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.880000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999997E-7 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999997E-7 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999996E-13 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999997E-7 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 9.99999974E-6 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 11, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 11, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 13, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 13, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 14, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 14, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 15, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 15, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 17, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 17, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 19, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 19, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 21, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 21, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 22, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 22, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 23, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 23, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 25, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 25, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 26, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 26, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 27, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 27, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 28, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 28, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 29, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 29, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 7, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 7, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 9, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 9, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,100,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,920,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.200000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 8.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 8.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,201,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 8.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 8.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.65685415 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 8.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,19200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.65685415 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 8.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,4800,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.899999976 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.65685415 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 8.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,1200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.65685415 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,2048,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.65685415 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,256,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.65685415 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 8.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,300,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.025600e+04 : f32tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.000000e+00 : f32tensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.000000e+00 : f32tensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,10,10,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,12,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,14,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,16,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,16,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,256,256,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,25,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,6,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,7,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,9,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,71,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4544 + d1 * 64 + d2, d3), memory_config: (142, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,12,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 144 + d1 * 72 + d2 * 12 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,13,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 156 + d1 * 78 + d2 * 13 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,14,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 168 + d1 * 84 + d2 * 14 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,15,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 180 + d1 * 90 + d2 * 15 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,16,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 192 + d1 * 96 + d2 * 16 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,17,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 204 + d1 * 102 + d2 * 17 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,18,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 216 + d1 * 108 + d2 * 18 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,19,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 228 + d1 * 114 + d2 * 19 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,20,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 240 + d1 * 120 + d2 * 20 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,21,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 252 + d1 * 126 + d2 * 21 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,22,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 264 + d1 * 132 + d2 * 22 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,23,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 276 + d1 * 138 + d2 * 23 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,24,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 288 + d1 * 144 + d2 * 24 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,25,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 300 + d1 * 150 + d2 * 25 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,26,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 312 + d1 * 156 + d2 * 26 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,27,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 324 + d1 * 162 + d2 * 27 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,28,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 336 + d1 * 168 + d2 * 28 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,6,29,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 348 + d1 * 174 + d2 * 29 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4,7,13,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 364 + d1 * 91 + d2 * 13 + d3, d4), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,1,16,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 80 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,3,32,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 96 + d2 * 32 + d3, d4), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,1,7,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[13,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'bf16', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[32,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[6,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.72614237E-10 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.77068146E-8 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.10102394E-6 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -5.69250624E-5 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -7.34990637E-4 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.954600e-03 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0160960332 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -1.45660715E-5 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -2.13374049E-4 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00168282702 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.00737332925 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -0.0142647391 : f32tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[12,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[13,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[32,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[45,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,116,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,134,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,168,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,196,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,272,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,334,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,462,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,46,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,576,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,58,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,68,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,720,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,816,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,98,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[6,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.120000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,11,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.840000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.840000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.600000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.440000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.400000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 8.100000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.960000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.584000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.400000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.120000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1920,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.960000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.960000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.120000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.136000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2520,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.136000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.072000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.096000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.960000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.960000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.000000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.560000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.840000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.960000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.960000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.000000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.840000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.840000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.840000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.600000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.960000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.900000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,12,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1500,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,197,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,50,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,64,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,64,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,64,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,128,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.334370166 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1370,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,256,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,6,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.334370166 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,80,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.297301769 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,1445,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,64,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.334370166 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1024,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.281170666 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,160,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.281170666 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.281170666 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,160,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.281170666 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,256,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.39763537 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,4096,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.39763537 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,40,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.39763537 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,40,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.281170666 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,64,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.334370166 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,80,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.334370166 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,80,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,8,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,8,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.353553385 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,16,64,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[100,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[100,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[100,92,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1024, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1024,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1024,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1024,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1024,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[10,250002,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[10,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1200,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1200,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1296,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1296,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1296,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1296,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[12,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[12,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[12,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[12,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1370,3840,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1370,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[13,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[13,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[13,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1445,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[14,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[14,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[14,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1500,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1536, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16384,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16384,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16384,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16384,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16384,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[17424,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[17424,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[17424,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[17424,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[19200,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[19200,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[196,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[196,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[196,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[196,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[197,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[197,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.250000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,257,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1920,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1920,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.125000e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.250000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.38953139E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.480000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.500000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.580000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.0441941731 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.0360843912 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,21843,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2560,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2560,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3129,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.702000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,50,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,640,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,640,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,640,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.250000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.471500e-02 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.797884583 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[201,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2048,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2048,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2048,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 256, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[256,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[257,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[257,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[25,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[25,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[27,30522,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[27,38,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[27,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: -3.40282347E+38 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.702000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,7,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[300,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[300,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[300,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[300,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[300,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[3136,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[3136,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3234, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[32,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[32,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3584, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4096, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4096,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4096,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4096,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4096,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4096,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4096,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[45,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[45,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4800,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4800,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[49,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[49,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,13,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.250000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[50,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 51200, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 512, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5184,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5184,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5184,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5184,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[576,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[576,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[64,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[64,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[65536,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[65536,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[69696,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[69696,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[6,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[768,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[784,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[784,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[7,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[7,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,100,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,920,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[920,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[920,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,30000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.176776692 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[9,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[14,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[56,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.000000e-01 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,100,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,100,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1056,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1056,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1088,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1120,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1152,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1216,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1216,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1248,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1248,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1312,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1312,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1344,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1344,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1376,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1376,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1392,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1408,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1408,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1440,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1472,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1472,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1504,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1504,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1568,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1568,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1600,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1600,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1632,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1632,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1664,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1664,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,168,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1696,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1696,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1728,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1728,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1760,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1760,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1792,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1792,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1824,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1856,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1888,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1920,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,208,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,20,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,232,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2520,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,149,149,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,26,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,352,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,352,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3712,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,416,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,416,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,608,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,60,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,696,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,704,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,736,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,800,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,864,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,896,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,928,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,928,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,92,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,71,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,992,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,992,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,13,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[6,1,100,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[6,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[920,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,192,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.000000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[5,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.000000e+00 : f32tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.600000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.072000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.400000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.200000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.280000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.280000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1370,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.920000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1445,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.280000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.120000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1500,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.920000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.200000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.840000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.400000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,19200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,196,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,201,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.280000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.600000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.560000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.072000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.200000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.120000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.400000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,257,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,25,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,27,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.560000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.120000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.280000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.200000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.120000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.400000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+04 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.096000e+04 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.048000e+04 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.120000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 8.192000e+04 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.072000e+04 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.228800e+05 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.096000e+04 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+04 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.560000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.144000e+04 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+04 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.048000e+04 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.120000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.536000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.200000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 3.840000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 6.400000e+01 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,45,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.280000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4800,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,50,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.280000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,56,56,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.280000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.920000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,65536,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.544000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.048000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.280000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.048000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 4.096000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 7.680000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 5.120000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 1.024000e+03 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 2.560000e+02 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[16,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[6,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.full!tt.device<#device>fillValue: 0.000000e+00 : f32tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan

ttnn.ge

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.getensor<[5,5,ui32]>
tensor<[5,5,ui32]>
tensor<[5,5,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan

ttnn.get_device

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc15)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc14)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc13)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc12)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc11)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc10)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc9)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc8)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc7)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc7)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc11)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc7)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc11)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc7)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc8)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc8)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc51)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc50)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc49)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc48)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc47)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc46)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc45)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc44)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc43)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc42)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc41)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc40)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc39)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc38)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc37)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc36)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc35)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc34)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc33)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc32)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc31)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc30)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc29)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc28)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc27)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc26)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc25)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc24)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc23)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc22)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc21)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc20)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc19)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc18)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc17)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc16)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc15)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc14)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc13)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc12)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc11)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc10)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc9)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc8)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc7)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc11)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc7)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc9)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc8)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc7)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc35)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc34)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc33)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc32)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc31)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc30)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc29)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc28)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc27)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc26)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc25)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc24)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc23)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc22)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc21)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc20)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc19)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc18)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc17)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc16)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc15)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc14)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc13)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc12)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc11)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc10)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc9)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc8)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc7)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc2)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
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ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc17)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc16)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc15)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc14)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc13)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc12)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc11)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc10)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc9)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc8)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc8)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc6)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc4)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc5)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan
ttnn.get_devicemesh_shape: #ttnn<mesh_shape 1x1>!tt.device<#device> loc(#loc3)nannan

ttnn.gt

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.gttensor<[1,11,ui32]>
tensor<[1,11,ui32]>
tensor<[1,11,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[12,12,ui32]>
tensor<[12,12,ui32]>
tensor<[12,12,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,12,ui32]>
tensor<[1,12,ui32]>
tensor<[1,12,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[13,13,ui32]>
tensor<[13,13,ui32]>
tensor<[13,13,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,13,ui32]>
tensor<[1,13,ui32]>
tensor<[1,13,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,14,ui32]>
tensor<[1,14,ui32]>
tensor<[1,14,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,15,ui32]>
tensor<[1,15,ui32]>
tensor<[1,15,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,16,ui32]>
tensor<[1,16,ui32]>
tensor<[1,16,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,17,ui32]>
tensor<[1,17,ui32]>
tensor<[1,17,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,18,ui32]>
tensor<[1,18,ui32]>
tensor<[1,18,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,19,ui32]>
tensor<[1,19,ui32]>
tensor<[1,19,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,20,ui32]>
tensor<[1,20,ui32]>
tensor<[1,20,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,21,ui32]>
tensor<[1,21,ui32]>
tensor<[1,21,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,22,ui32]>
tensor<[1,22,ui32]>
tensor<[1,22,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,23,ui32]>
tensor<[1,23,ui32]>
tensor<[1,23,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,24,ui32]>
tensor<[1,24,ui32]>
tensor<[1,24,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,25,ui32]>
tensor<[1,25,ui32]>
tensor<[1,25,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,26,ui32]>
tensor<[1,26,ui32]>
tensor<[1,26,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,27,ui32]>
tensor<[1,27,ui32]>
tensor<[1,27,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,28,ui32]>
tensor<[1,28,ui32]>
tensor<[1,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,29,ui32]>
tensor<[1,29,ui32]>
tensor<[1,29,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[32,32,ui32]>
tensor<[32,32,ui32]>
tensor<[32,32,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[45,45,ui32]>
tensor<[45,45,ui32]>
tensor<[45,45,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,45,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,46,ui32]>
tensor<[1,46,ui32]>
tensor<[1,46,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,47,ui32]>
tensor<[1,47,ui32]>
tensor<[1,47,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,47,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,48,ui32]>
tensor<[1,48,ui32]>
tensor<[1,48,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,49,ui32]>
tensor<[1,49,ui32]>
tensor<[1,49,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,50,ui32]>
tensor<[1,50,ui32]>
tensor<[1,50,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,51,ui32]>
tensor<[1,51,ui32]>
tensor<[1,51,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,51,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,52,ui32]>
tensor<[1,52,ui32]>
tensor<[1,52,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,52,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,53,ui32]>
tensor<[1,53,ui32]>
tensor<[1,53,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,53,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,54,ui32]>
tensor<[1,54,ui32]>
tensor<[1,54,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,54,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,55,ui32]>
tensor<[1,55,ui32]>
tensor<[1,55,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,55,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,56,ui32]>
tensor<[1,56,ui32]>
tensor<[1,56,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,57,ui32]>
tensor<[1,57,ui32]>
tensor<[1,57,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,57,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,58,ui32]>
tensor<[1,58,ui32]>
tensor<[1,58,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,59,ui32]>
tensor<[1,59,ui32]>
tensor<[1,59,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,59,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[5,5,ui32]>
tensor<[5,5,ui32]>
tensor<[5,5,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,60,ui32]>
tensor<[1,60,ui32]>
tensor<[1,60,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,60,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,61,ui32]>
tensor<[1,61,ui32]>
tensor<[1,61,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,61,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,62,ui32]>
tensor<[1,62,ui32]>
tensor<[1,62,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,62,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,63,ui32]>
tensor<[1,63,ui32]>
tensor<[1,63,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,63,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,64,ui32]>
tensor<[1,64,ui32]>
tensor<[1,64,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,65,ui32]>
tensor<[1,65,ui32]>
tensor<[1,65,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,66,ui32]>
tensor<[1,66,ui32]>
tensor<[1,66,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,66,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,67,ui32]>
tensor<[1,67,ui32]>
tensor<[1,67,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,67,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,68,ui32]>
tensor<[1,68,ui32]>
tensor<[1,68,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,69,ui32]>
tensor<[1,69,ui32]>
tensor<[1,69,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,69,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,6,ui32]>
tensor<[1,6,ui32]>
tensor<[1,6,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,70,ui32]>
tensor<[1,70,ui32]>
tensor<[1,70,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,70,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,71,ui32]>
tensor<[1,71,ui32]>
tensor<[1,71,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,72,ui32]>
tensor<[1,72,ui32]>
tensor<[1,72,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,73,ui32]>
tensor<[1,73,ui32]>
tensor<[1,73,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,73,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,74,ui32]>
tensor<[1,74,ui32]>
tensor<[1,74,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,74,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,75,ui32]>
tensor<[1,75,ui32]>
tensor<[1,75,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,75,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,76,ui32]>
tensor<[1,76,ui32]>
tensor<[1,76,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,76,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,77,ui32]>
tensor<[1,77,ui32]>
tensor<[1,77,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,77,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,78,ui32]>
tensor<[1,78,ui32]>
tensor<[1,78,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,79,ui32]>
tensor<[1,79,ui32]>
tensor<[1,79,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,79,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,7,ui32]>
tensor<[1,7,ui32]>
tensor<[1,7,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,80,ui32]>
tensor<[1,80,ui32]>
tensor<[1,80,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,81,ui32]>
tensor<[1,81,ui32]>
tensor<[1,81,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,81,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,82,ui32]>
tensor<[1,82,ui32]>
tensor<[1,82,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,82,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,83,ui32]>
tensor<[1,83,ui32]>
tensor<[1,83,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,83,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,84,ui32]>
tensor<[1,84,ui32]>
tensor<[1,84,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,84,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,85,ui32]>
tensor<[1,85,ui32]>
tensor<[1,85,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,85,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,86,ui32]>
tensor<[1,86,ui32]>
tensor<[1,86,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,86,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,87,ui32]>
tensor<[1,87,ui32]>
tensor<[1,87,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,87,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,88,ui32]>
tensor<[1,88,ui32]>
tensor<[1,88,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,88,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,89,ui32]>
tensor<[1,89,ui32]>
tensor<[1,89,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,89,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,8,ui32]>
tensor<[1,8,ui32]>
tensor<[1,8,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,90,ui32]>
tensor<[1,90,ui32]>
tensor<[1,90,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,90,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,91,ui32]>
tensor<[1,91,ui32]>
tensor<[1,91,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,91,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,92,ui32]>
tensor<[1,92,ui32]>
tensor<[1,92,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,93,ui32]>
tensor<[1,93,ui32]>
tensor<[1,93,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,93,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,94,ui32]>
tensor<[1,94,ui32]>
tensor<[1,94,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,94,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,95,ui32]>
tensor<[1,95,ui32]>
tensor<[1,95,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,95,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,96,ui32]>
tensor<[1,96,ui32]>
tensor<[1,96,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,97,ui32]>
tensor<[1,97,ui32]>
tensor<[1,97,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,97,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,98,ui32]>
tensor<[1,98,ui32]>
tensor<[1,98,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,99,ui32]>
tensor<[1,99,ui32]>
tensor<[1,99,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,99,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,9,ui32]>
tensor<[1,9,ui32]>
tensor<[1,9,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.gttensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan

ttnn.log1p

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.log1ptensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.log1ptensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.log1ptensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.log1ptensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.log1ptensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.log1ptensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.log1ptensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.log1ptensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.log1ptensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan

ttnn.logical_not

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.logical_nottensor<[1,bf16]>
tensor<[1,bf16]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan

ttnn.lt

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.lttensor<[6,6,ui32]>
tensor<[6,6,ui32]>
tensor<[6,6,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.lttensor<[8,2048,f32]>
tensor<[8,2048,f32]>
tensor<[8,2048,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan

ttnn.matmul

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.matmultensor<[8,100,32,bf16]>
tensor<[8,32,920,bf16]>
tensor<[8,100,920,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (8, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')
tensor<[8,100,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,920,32,bf16]>
tensor<[8,32,920,bf16]>
tensor<[8,920,920,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (8, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')
tensor<[8,920,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[120,28,14,bf16]>
tensor<[120,14,28,bf16]>
tensor<[120,28,28,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
tensor<[120,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1280,16,16,bf16]>
tensor<[1280,16,32,bf16]>
tensor<[1280,16,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1280,16,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1280,16,8,bf16]>
tensor<[1280,8,16,bf16]>
tensor<[1280,16,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1280,16,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1280,32,16,bf16]>
tensor<[1280,16,32,bf16]>
tensor<[1280,32,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1280,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1280,8,8,bf16]>
tensor<[1280,8,16,bf16]>
tensor<[1280,8,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1280,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[128,32,32,bf16]>
tensor<[128,32,64,bf16]>
tensor<[128,32,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
tensor<[128,32,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[128,49,32,bf16]>
tensor<[128,32,49,bf16]>
tensor<[128,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')
tensor<[128,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[128,49,49,bf16]>
tensor<[128,49,32,bf16]>
tensor<[128,49,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
tensor<[128,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[128,64,32,bf16]>
tensor<[128,32,64,bf16]>
tensor<[128,64,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
tensor<[128,64,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,10,10,f32]>
tensor<[12,10,64,f32]>
tensor<[12,10,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,10,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,10,64,f32]>
tensor<[12,64,10,f32]>
tensor<[12,10,10,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,10,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,12,128,f32]>
tensor<[12,128,12,f32]>
tensor<[12,12,12,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,12,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,12,12,f32]>
tensor<[12,12,128,f32]>
tensor<[12,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,12,12,f32]>
tensor<[12,12,64,f32]>
tensor<[12,12,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,12,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,12,64,f32]>
tensor<[12,64,12,f32]>
tensor<[12,12,12,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,12,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,14,14,f32]>
tensor<[12,14,64,f32]>
tensor<[12,14,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,14,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,14,64,f32]>
tensor<[12,64,14,f32]>
tensor<[12,14,14,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,14,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1500,1500,f32]>
tensor<[12,1500,64,f32]>
tensor<[12,1500,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1500,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1500,64,f32]>
tensor<[12,64,1500,f32]>
tensor<[12,1500,1500,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
tensor<[12,1500,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,16,16,f32]>
tensor<[12,16,64,f32]>
tensor<[12,16,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,16,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,16,64,f32]>
tensor<[12,64,16,f32]>
tensor<[12,16,16,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,16,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,197,197,bf16]>
tensor<[12,197,64,bf16]>
tensor<[12,197,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,197,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,197,64,bf16]>
tensor<[12,64,197,bf16]>
tensor<[12,197,197,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')
tensor<[12,197,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,10,bf16]>
tensor<[12,10,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,11,bf16]>
tensor<[12,11,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,13,f32]>
tensor<[12,1,13,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,14,f32]>
tensor<[12,1,14,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,15,f32]>
tensor<[12,1,15,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,15,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,16,f32]>
tensor<[12,1,16,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,17,f32]>
tensor<[12,1,17,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,17,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,18,f32]>
tensor<[12,1,18,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,18,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,19,f32]>
tensor<[12,1,19,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,19,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,20,f32]>
tensor<[12,1,20,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,20,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,21,f32]>
tensor<[12,1,21,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,22,f32]>
tensor<[12,1,22,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,23,f32]>
tensor<[12,1,23,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,24,f32]>
tensor<[12,1,24,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,25,f32]>
tensor<[12,1,25,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,26,f32]>
tensor<[12,1,26,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,26,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,27,f32]>
tensor<[12,1,27,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,27,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,28,f32]>
tensor<[12,1,28,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,128,f32]>
tensor<[12,128,29,f32]>
tensor<[12,1,29,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,1,29,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,12,bf16]>
tensor<[12,12,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,13,f32]>
tensor<[12,13,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,13,bf16]>
tensor<[12,13,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,14,f32]>
tensor<[12,14,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,14,bf16]>
tensor<[12,14,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,15,f32]>
tensor<[12,15,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,15,bf16]>
tensor<[12,15,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,16,f32]>
tensor<[12,16,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,16,bf16]>
tensor<[12,16,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,17,f32]>
tensor<[12,17,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 17 + d1, d2), memory_config: (7, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,17,bf16]>
tensor<[12,17,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 17 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,18,f32]>
tensor<[12,18,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 18 + d1, d2), memory_config: (7, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,18,bf16]>
tensor<[12,18,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 18 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,19,f32]>
tensor<[12,19,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19 + d1, d2), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,19,bf16]>
tensor<[12,19,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,1,bf16]>
tensor<[12,1,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,20,f32]>
tensor<[12,20,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,20,bf16]>
tensor<[12,20,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,21,f32]>
tensor<[12,21,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 21 + d1, d2), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,22,f32]>
tensor<[12,22,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 22 + d1, d2), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,23,f32]>
tensor<[12,23,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 23 + d1, d2), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,24,f32]>
tensor<[12,24,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,25,f32]>
tensor<[12,25,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,26,f32]>
tensor<[12,26,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 26 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,27,f32]>
tensor<[12,27,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,28,f32]>
tensor<[12,28,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,29,f32]>
tensor<[12,29,128,f32]>
tensor<[12,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 29 + d1, d2), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,2,bf16]>
tensor<[12,2,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,3,bf16]>
tensor<[12,3,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,46,bf16]>
tensor<[12,46,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 46 + d1, d2), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,47,bf16]>
tensor<[12,47,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 47 + d1, d2), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,48,bf16]>
tensor<[12,48,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 48 + d1, d2), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,49,bf16]>
tensor<[12,49,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,4,bf16]>
tensor<[12,4,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,50,bf16]>
tensor<[12,50,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,51,bf16]>
tensor<[12,51,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 51 + d1, d2), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,52,bf16]>
tensor<[12,52,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 52 + d1, d2), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,53,bf16]>
tensor<[12,53,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 53 + d1, d2), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,54,bf16]>
tensor<[12,54,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 54 + d1, d2), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,55,bf16]>
tensor<[12,55,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 55 + d1, d2), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,56,bf16]>
tensor<[12,56,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,57,bf16]>
tensor<[12,57,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 57 + d1, d2), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,58,bf16]>
tensor<[12,58,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 58 + d1, d2), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,59,bf16]>
tensor<[12,59,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 59 + d1, d2), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,5,bf16]>
tensor<[12,5,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,60,bf16]>
tensor<[12,60,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,61,bf16]>
tensor<[12,61,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 61 + d1, d2), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,62,bf16]>
tensor<[12,62,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 62 + d1, d2), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,63,bf16]>
tensor<[12,63,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 63 + d1, d2), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,1,bf16]>
tensor<[12,1,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,10,bf16]>
tensor<[12,1,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,11,bf16]>
tensor<[12,1,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,12,bf16]>
tensor<[12,1,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,13,bf16]>
tensor<[12,1,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,14,bf16]>
tensor<[12,1,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,15,bf16]>
tensor<[12,1,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,16,bf16]>
tensor<[12,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,17,bf16]>
tensor<[12,1,17,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,18,bf16]>
tensor<[12,1,18,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,19,bf16]>
tensor<[12,1,19,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,2,bf16]>
tensor<[12,1,2,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,20,bf16]>
tensor<[12,1,20,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,3,bf16]>
tensor<[12,1,3,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,4,bf16]>
tensor<[12,1,4,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,46,f32]>
tensor<[12,1,46,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,46,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,47,f32]>
tensor<[12,1,47,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,47,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,48,f32]>
tensor<[12,1,48,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,48,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,49,f32]>
tensor<[12,1,49,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,5,bf16]>
tensor<[12,1,5,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,50,f32]>
tensor<[12,1,50,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,51,f32]>
tensor<[12,1,51,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,51,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,52,f32]>
tensor<[12,1,52,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,52,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,53,f32]>
tensor<[12,1,53,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,53,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,54,f32]>
tensor<[12,1,54,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,54,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,55,f32]>
tensor<[12,1,55,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,55,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,56,f32]>
tensor<[12,1,56,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,56,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,57,f32]>
tensor<[12,1,57,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,57,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,58,f32]>
tensor<[12,1,58,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,58,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,59,f32]>
tensor<[12,1,59,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,59,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,6,bf16]>
tensor<[12,1,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,60,f32]>
tensor<[12,1,60,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,60,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,61,f32]>
tensor<[12,1,61,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,61,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,62,f32]>
tensor<[12,1,62,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,62,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,63,f32]>
tensor<[12,1,63,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,63,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,64,f32]>
tensor<[12,1,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,65,f32]>
tensor<[12,1,65,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,65,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,66,f32]>
tensor<[12,1,66,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,66,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,67,f32]>
tensor<[12,1,67,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,67,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,68,f32]>
tensor<[12,1,68,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,68,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,69,f32]>
tensor<[12,1,69,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,69,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,7,bf16]>
tensor<[12,1,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,70,f32]>
tensor<[12,1,70,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,70,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,71,f32]>
tensor<[12,1,71,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,71,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,72,f32]>
tensor<[12,1,72,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,72,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,73,f32]>
tensor<[12,1,73,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,73,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,74,f32]>
tensor<[12,1,74,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,74,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,75,f32]>
tensor<[12,1,75,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,75,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,76,f32]>
tensor<[12,1,76,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,76,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,77,f32]>
tensor<[12,1,77,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,77,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,78,f32]>
tensor<[12,1,78,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,78,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,79,f32]>
tensor<[12,1,79,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,79,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,8,bf16]>
tensor<[12,1,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,80,f32]>
tensor<[12,1,80,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,81,f32]>
tensor<[12,1,81,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,81,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,82,f32]>
tensor<[12,1,82,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,82,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,83,f32]>
tensor<[12,1,83,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,83,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,84,f32]>
tensor<[12,1,84,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,84,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,85,f32]>
tensor<[12,1,85,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,85,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,86,f32]>
tensor<[12,1,86,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,86,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,87,f32]>
tensor<[12,1,87,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,87,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,88,f32]>
tensor<[12,1,88,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,88,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,89,f32]>
tensor<[12,1,89,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,89,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,bf16]>
tensor<[12,64,9,bf16]>
tensor<[12,1,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,90,f32]>
tensor<[12,1,90,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,90,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,91,f32]>
tensor<[12,1,91,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,92,f32]>
tensor<[12,1,92,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,92,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,93,f32]>
tensor<[12,1,93,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,93,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,94,f32]>
tensor<[12,1,94,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,94,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,95,f32]>
tensor<[12,1,95,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,95,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,96,f32]>
tensor<[12,1,96,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
tensor<[12,1,96,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,97,f32]>
tensor<[12,1,97,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,97,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,98,f32]>
tensor<[12,1,98,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,98,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,64,f32]>
tensor<[12,64,99,f32]>
tensor<[12,1,99,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[12,1,99,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1,65,bf16]>
tensor<[12,65,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,66,bf16]>
tensor<[12,66,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 66 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,67,bf16]>
tensor<[12,67,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 67 + d1, d2), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,68,bf16]>
tensor<[12,68,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 68 + d1, d2), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,69,bf16]>
tensor<[12,69,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 69 + d1, d2), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,6,bf16]>
tensor<[12,6,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,70,bf16]>
tensor<[12,70,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 70 + d1, d2), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,71,bf16]>
tensor<[12,71,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 71 + d1, d2), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,72,bf16]>
tensor<[12,72,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 72 + d1, d2), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,73,bf16]>
tensor<[12,73,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 73 + d1, d2), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,74,bf16]>
tensor<[12,74,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 74 + d1, d2), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,75,bf16]>
tensor<[12,75,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 75 + d1, d2), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,76,bf16]>
tensor<[12,76,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 76 + d1, d2), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,77,bf16]>
tensor<[12,77,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 77 + d1, d2), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,78,bf16]>
tensor<[12,78,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 78 + d1, d2), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,79,bf16]>
tensor<[12,79,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 79 + d1, d2), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,7,bf16]>
tensor<[12,7,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,80,bf16]>
tensor<[12,80,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,81,bf16]>
tensor<[12,81,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 81 + d1, d2), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,82,bf16]>
tensor<[12,82,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 82 + d1, d2), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,83,bf16]>
tensor<[12,83,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 83 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,84,bf16]>
tensor<[12,84,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 84 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,85,bf16]>
tensor<[12,85,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 85 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,86,bf16]>
tensor<[12,86,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 86 + d1, d2), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,87,bf16]>
tensor<[12,87,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 87 + d1, d2), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,88,bf16]>
tensor<[12,88,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 88 + d1, d2), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,89,bf16]>
tensor<[12,89,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 89 + d1, d2), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,8,bf16]>
tensor<[12,8,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,90,bf16]>
tensor<[12,90,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 90 + d1, d2), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,91,bf16]>
tensor<[12,91,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 91 + d1, d2), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,92,bf16]>
tensor<[12,92,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 92 + d1, d2), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,93,bf16]>
tensor<[12,93,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 93 + d1, d2), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,94,bf16]>
tensor<[12,94,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 94 + d1, d2), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,95,bf16]>
tensor<[12,95,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 95 + d1, d2), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,96,bf16]>
tensor<[12,96,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 96 + d1, d2), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,97,bf16]>
tensor<[12,97,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 97 + d1, d2), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,98,bf16]>
tensor<[12,98,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 98 + d1, d2), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,99,bf16]>
tensor<[12,99,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 99 + d1, d2), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1,9,bf16]>
tensor<[12,9,64,bf16]>
tensor<[12,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,201,201,bf16]>
tensor<[12,201,64,bf16]>
tensor<[12,201,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,201,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,201,64,bf16]>
tensor<[12,64,201,bf16]>
tensor<[12,201,201,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')
tensor<[12,201,201,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,257,257,bf16]>
tensor<[12,257,64,bf16]>
tensor<[12,257,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,257,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,257,64,bf16]>
tensor<[12,64,257,bf16]>
tensor<[12,257,257,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')
tensor<[12,257,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,25,25,f32]>
tensor<[12,25,64,f32]>
tensor<[12,25,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,25,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,25,64,f32]>
tensor<[12,64,25,f32]>
tensor<[12,25,25,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,25,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,45,45,bf16]>
tensor<[12,45,64,bf16]>
tensor<[12,45,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,45,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,45,64,f32]>
tensor<[12,64,45,f32]>
tensor<[12,45,45,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,45,45,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,50,50,f32]>
tensor<[12,50,64,f32]>
tensor<[12,50,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,50,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,50,64,f32]>
tensor<[12,64,50,f32]>
tensor<[12,50,50,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,50,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,7,64,f32]>
tensor<[12,64,7,f32]>
tensor<[12,7,7,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,7,7,f32]>
tensor<[12,7,64,f32]>
tensor<[12,7,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,8,64,bf16]>
tensor<[12,64,8,bf16]>
tensor<[12,8,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
tensor<[12,8,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,8,8,bf16]>
tensor<[12,8,64,bf16]>
tensor<[12,8,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
tensor<[12,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,9,64,f32]>
tensor<[12,64,9,f32]>
tensor<[12,9,9,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,9,9,f32]>
tensor<[12,9,64,f32]>
tensor<[12,9,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
tensor<[12,9,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1452,144,144,f32]>
tensor<[1452,144,32,f32]>
tensor<[1452,144,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')
tensor<[1452,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1452,144,32,f32]>
tensor<[1452,32,144,f32]>
tensor<[1452,144,144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1452, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')
tensor<[1452,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1536,16,16,f32]>
tensor<[1536,16,32,f32]>
tensor<[1536,16,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
tensor<[1536,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1536,32,16,f32]>
tensor<[1536,16,32,f32]>
tensor<[1536,32,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')
tensor<[1536,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1536,32,64,f32]>
tensor<[1536,64,32,f32]>
tensor<[1536,32,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')
tensor<[1536,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1536,64,64,f32]>
tensor<[1536,64,32,f32]>
tensor<[1536,64,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (3072, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
tensor<[1536,64,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,10,10,bf16]>
tensor<[16,10,64,bf16]>
tensor<[16,10,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,10,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,10,64,bf16]>
tensor<[16,64,10,bf16]>
tensor<[16,10,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1370,1370,f32]>
tensor<[16,1370,80,f32]>
tensor<[16,1370,80,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')
tensor<[16,1370,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1370,80,f32]>
tensor<[16,80,1370,f32]>
tensor<[16,1370,1370,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
tensor<[16,1370,1370,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,197,197,bf16]>
tensor<[16,197,64,bf16]>
tensor<[16,197,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,197,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,197,64,bf16]>
tensor<[16,64,197,bf16]>
tensor<[16,197,197,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')
tensor<[16,197,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,10,bf16]>
tensor<[16,10,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,11,bf16]>
tensor<[16,11,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,12,bf16]>
tensor<[16,12,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,13,bf16]>
tensor<[16,13,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,14,bf16]>
tensor<[16,14,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,15,bf16]>
tensor<[16,15,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,16,bf16]>
tensor<[16,16,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,17,bf16]>
tensor<[16,17,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 17 + d1, d2), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,18,bf16]>
tensor<[16,18,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 18 + d1, d2), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,19,bf16]>
tensor<[16,19,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,1,bf16]>
tensor<[16,1,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,20,bf16]>
tensor<[16,20,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,21,bf16]>
tensor<[16,21,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 21 + d1, d2), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,22,bf16]>
tensor<[16,22,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 22 + d1, d2), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,23,bf16]>
tensor<[16,23,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 23 + d1, d2), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,24,bf16]>
tensor<[16,24,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,25,f32]>
tensor<[16,25,64,f32]>
tensor<[16,1,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (13, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,26,f32]>
tensor<[16,26,64,f32]>
tensor<[16,1,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 26 + d1, d2), memory_config: (13, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,27,f32]>
tensor<[16,27,64,f32]>
tensor<[16,1,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (14, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,28,f32]>
tensor<[16,28,64,f32]>
tensor<[16,1,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (14, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,29,f32]>
tensor<[16,29,64,f32]>
tensor<[16,1,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 29 + d1, d2), memory_config: (15, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,2,bf16]>
tensor<[16,2,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,3,bf16]>
tensor<[16,3,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,4,bf16]>
tensor<[16,4,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,5,bf16]>
tensor<[16,5,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,1,bf16]>
tensor<[16,1,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,10,bf16]>
tensor<[16,1,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,11,bf16]>
tensor<[16,1,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,12,bf16]>
tensor<[16,1,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,13,bf16]>
tensor<[16,1,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,14,bf16]>
tensor<[16,1,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,15,bf16]>
tensor<[16,1,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,16,bf16]>
tensor<[16,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,17,bf16]>
tensor<[16,1,17,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,18,bf16]>
tensor<[16,1,18,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,19,bf16]>
tensor<[16,1,19,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,2,bf16]>
tensor<[16,1,2,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,20,bf16]>
tensor<[16,1,20,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,f32]>
tensor<[16,64,21,f32]>
tensor<[16,1,21,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,1,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,64,f32]>
tensor<[16,64,22,f32]>
tensor<[16,1,22,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,1,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,64,f32]>
tensor<[16,64,23,f32]>
tensor<[16,1,23,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,1,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,64,f32]>
tensor<[16,64,24,f32]>
tensor<[16,1,24,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,1,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,64,f32]>
tensor<[16,64,25,f32]>
tensor<[16,1,25,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,1,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,64,f32]>
tensor<[16,64,26,f32]>
tensor<[16,1,26,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,1,26,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,64,f32]>
tensor<[16,64,27,f32]>
tensor<[16,1,27,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,1,27,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,64,f32]>
tensor<[16,64,28,f32]>
tensor<[16,1,28,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,1,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,64,f32]>
tensor<[16,64,29,f32]>
tensor<[16,1,29,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,1,29,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,3,bf16]>
tensor<[16,1,3,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,4,bf16]>
tensor<[16,1,4,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,5,bf16]>
tensor<[16,1,5,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,6,bf16]>
tensor<[16,1,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,7,bf16]>
tensor<[16,1,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,8,bf16]>
tensor<[16,1,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,64,bf16]>
tensor<[16,64,9,bf16]>
tensor<[16,1,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,6,bf16]>
tensor<[16,6,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,7,bf16]>
tensor<[16,7,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,8,bf16]>
tensor<[16,8,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,1,9,bf16]>
tensor<[16,9,64,bf16]>
tensor<[16,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,256,256,f32]>
tensor<[16,256,64,f32]>
tensor<[16,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
tensor<[16,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,256,64,f32]>
tensor<[16,64,256,f32]>
tensor<[16,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
tensor<[16,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,32,32,bf16]>
tensor<[16,32,96,bf16]>
tensor<[16,32,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')
tensor<[16,32,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,5,5,bf16]>
tensor<[16,5,64,bf16]>
tensor<[16,5,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
tensor<[16,5,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16,5,64,f32]>
tensor<[16,64,5,f32]>
tensor<[16,5,5,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,5,5,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,6,64,f32]>
tensor<[16,64,6,f32]>
tensor<[16,6,6,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,6,6,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,6,6,f32]>
tensor<[16,6,64,f32]>
tensor<[16,6,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
tensor<[16,6,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,7,64,f32]>
tensor<[16,64,7,f32]>
tensor<[16,7,7,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,7,7,f32]>
tensor<[16,7,64,f32]>
tensor<[16,7,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
tensor<[16,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,9,128,f32]>
tensor<[16,128,9,f32]>
tensor<[16,9,9,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,9,64,f32]>
tensor<[16,64,9,f32]>
tensor<[16,9,9,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
tensor<[16,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,9,9,f32]>
tensor<[16,9,128,f32]>
tensor<[16,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
tensor<[16,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,9,9,f32]>
tensor<[16,9,64,f32]>
tensor<[16,9,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
tensor<[16,9,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[184,14,7,bf16]>
tensor<[184,7,14,bf16]>
tensor<[184,14,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
tensor<[184,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[184,7,7,bf16]>
tensor<[184,7,14,bf16]>
tensor<[184,7,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
tensor<[184,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[18,14,14,bf16]>
tensor<[18,14,56,bf16]>
tensor<[18,14,56,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
tensor<[18,14,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[18,28,28,bf16]>
tensor<[18,28,56,bf16]>
tensor<[18,28,56,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
tensor<[18,28,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[18,56,14,bf16]>
tensor<[18,14,56,bf16]>
tensor<[18,56,56,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
tensor<[18,56,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[18,56,28,bf16]>
tensor<[18,28,56,bf16]>
tensor<[18,56,56,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
tensor<[18,56,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[18,56,7,bf16]>
tensor<[18,7,56,bf16]>
tensor<[18,56,56,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
tensor<[18,56,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[18,7,7,bf16]>
tensor<[18,7,56,bf16]>
tensor<[18,7,56,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
tensor<[18,7,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[192,128,128,f32]>
tensor<[192,128,256,f32]>
tensor<[192,128,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (768, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (768, 8, 'tile<32x32, f32>', 'dram')
tensor<[192,128,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (768, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[192,144,144,f32]>
tensor<[192,144,32,f32]>
tensor<[192,144,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
tensor<[192,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[192,144,32,f32]>
tensor<[192,32,144,f32]>
tensor<[192,144,144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (192, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
tensor<[192,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[192,256,128,f32]>
tensor<[192,128,256,f32]>
tensor<[192,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (768, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')
tensor<[192,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,10,3072,bf16]>
tensor<[1,3072,128,bf16]>
tensor<[1,10,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,10,3072,bf16]>
tensor<[1,3072,1536,bf16]>
tensor<[1,10,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,10,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,11,3072,bf16]>
tensor<[1,3072,128,bf16]>
tensor<[1,11,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,11,3072,bf16]>
tensor<[1,3072,1536,bf16]>
tensor<[1,11,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,11,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,12,3072,bf16]>
tensor<[1,3072,128,bf16]>
tensor<[1,12,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,12,3072,bf16]>
tensor<[1,3072,1536,bf16]>
tensor<[1,12,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,12,512,f32]>
tensor<[1,512,16,f32]>
tensor<[1,12,16,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,12,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,13,3072,bf16]>
tensor<[1,3072,128,bf16]>
tensor<[1,13,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,13,3072,bf16]>
tensor<[1,3072,1536,bf16]>
tensor<[1,13,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,13,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,14,3072,bf16]>
tensor<[1,3072,128,bf16]>
tensor<[1,14,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,14,3072,bf16]>
tensor<[1,3072,1536,bf16]>
tensor<[1,14,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,14,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,15,3072,bf16]>
tensor<[1,3072,128,bf16]>
tensor<[1,15,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,15,3072,bf16]>
tensor<[1,3072,1536,bf16]>
tensor<[1,15,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,15,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,16384,256,bf16]>
tensor<[1,256,32,bf16]>
tensor<[1,16384,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,16384,32,bf16]>
tensor<[1,32,256,bf16]>
tensor<[1,16384,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
tensor<[1,16384,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,19200,300,bf16]>
tensor<[1,300,64,bf16]>
tensor<[1,19200,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')
tensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,19200,64,bf16]>
tensor<[1,64,300,bf16]>
tensor<[1,19200,300,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')
tensor<[1,19200,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,1,1536,bf16]>
tensor<[1,1536,151936,bf16]>
tensor<[1,1,151936,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1536 + d1, d2), memory_config: (48, 4748, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')
tensor<[1,1,151936,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,27,257,bf16]>
tensor<[1,257,768,bf16]>
tensor<[1,27,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,27,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,3072,16,bf16]>
tensor<[1,16,1,bf16]>
tensor<[1,3072,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,512,384,f32]>
tensor<[1,384,12,f32]>
tensor<[1,512,12,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 384 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,512,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,64,1,f32]>
tensor<[1,1,1,f32]>
tensor<[1,64,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,64,1,f32]>
tensor<[1,1,12,f32]>
tensor<[1,64,12,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,64,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,64,1,f32]>
tensor<[1,1,13,f32]>
tensor<[1,64,13,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,64,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,64,1,f32]>
tensor<[1,1,32,f32]>
tensor<[1,64,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,64,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,6,3072,bf16]>
tensor<[1,3072,128,bf16]>
tensor<[1,6,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,6,3072,bf16]>
tensor<[1,3072,1536,bf16]>
tensor<[1,6,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,6,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,7,3072,bf16]>
tensor<[1,3072,128,bf16]>
tensor<[1,7,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,7,3072,bf16]>
tensor<[1,3072,1536,bf16]>
tensor<[1,7,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,7,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,8,3072,bf16]>
tensor<[1,3072,128,bf16]>
tensor<[1,8,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,8,3072,bf16]>
tensor<[1,3072,1536,bf16]>
tensor<[1,8,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,8,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,9,3072,bf16]>
tensor<[1,3072,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,9,3072,bf16]>
tensor<[1,3072,1536,bf16]>
tensor<[1,9,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,9,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[200,14,7,bf16]>
tensor<[200,7,14,bf16]>
tensor<[200,14,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
tensor<[200,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[200,7,7,bf16]>
tensor<[200,7,14,bf16]>
tensor<[200,7,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
tensor<[200,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[216,144,144,f32]>
tensor<[216,144,32,f32]>
tensor<[216,144,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')
tensor<[216,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[216,144,32,f32]>
tensor<[216,32,144,f32]>
tensor<[216,144,144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (216, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
tensor<[216,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[240,14,14,bf16]>
tensor<[240,14,28,bf16]>
tensor<[240,14,28,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
tensor<[240,14,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[240,28,14,bf16]>
tensor<[240,14,28,bf16]>
tensor<[240,28,28,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
tensor<[240,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[24,13,13,f32]>
tensor<[24,13,64,f32]>
tensor<[24,13,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
tensor<[24,13,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[24,13,64,f32]>
tensor<[24,64,13,f32]>
tensor<[24,13,13,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
tensor<[24,13,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[24,32,128,f32]>
tensor<[24,128,32,f32]>
tensor<[24,32,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
tensor<[24,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[24,32,32,f32]>
tensor<[24,32,128,f32]>
tensor<[24,32,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
tensor<[24,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,128,128,bf16]>
tensor<[256,128,128,bf16]>
tensor<[256,128,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
tensor<[256,128,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,128,16,bf16]>
tensor<[256,16,128,bf16]>
tensor<[256,128,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
tensor<[256,128,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,128,32,bf16]>
tensor<[256,32,128,bf16]>
tensor<[256,128,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
tensor<[256,128,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,128,64,bf16]>
tensor<[256,64,128,bf16]>
tensor<[256,128,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
tensor<[256,128,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,16,16,bf16]>
tensor<[256,16,128,bf16]>
tensor<[256,16,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
tensor<[256,16,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,16,16,bf16]>
tensor<[256,16,32,bf16]>
tensor<[256,16,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
tensor<[256,16,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,32,16,bf16]>
tensor<[256,16,32,bf16]>
tensor<[256,32,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
tensor<[256,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,32,32,bf16]>
tensor<[256,32,128,bf16]>
tensor<[256,32,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
tensor<[256,32,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,49,32,bf16]>
tensor<[256,32,49,bf16]>
tensor<[256,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
tensor<[256,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,49,49,bf16]>
tensor<[256,49,32,bf16]>
tensor<[256,49,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
tensor<[256,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,64,64,bf16]>
tensor<[256,64,128,bf16]>
tensor<[256,64,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
tensor<[256,64,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[28,13,128,f32]>
tensor<[28,128,13,f32]>
tensor<[28,13,13,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
tensor<[28,13,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[28,13,13,f32]>
tensor<[28,13,128,f32]>
tensor<[28,13,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')
tensor<[28,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[2904,144,144,f32]>
tensor<[2904,144,32,f32]>
tensor<[2904,144,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')
tensor<[2904,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[2904,144,32,f32]>
tensor<[2904,32,144,f32]>
tensor<[2904,144,144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (2904, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
tensor<[2904,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[2,4096,256,bf16]>
tensor<[2,256,32,bf16]>
tensor<[2,4096,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
tensor<[2,4096,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[2,4096,32,bf16]>
tensor<[2,32,256,bf16]>
tensor<[2,4096,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
tensor<[2,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[2,4800,300,bf16]>
tensor<[2,300,64,bf16]>
tensor<[2,4800,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')
tensor<[2,4800,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[2,4800,64,bf16]>
tensor<[2,64,300,bf16]>
tensor<[2,4800,300,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (4, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')
tensor<[2,4800,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,32,128,f32]>
tensor<[32,128,32,f32]>
tensor<[32,32,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
tensor<[32,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[32,32,32,f32]>
tensor<[32,32,128,f32]>
tensor<[32,32,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')
tensor<[32,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[32,49,32,bf16]>
tensor<[32,32,49,bf16]>
tensor<[32,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')
tensor<[32,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,49,49,bf16]>
tensor<[32,49,32,bf16]>
tensor<[32,49,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
tensor<[32,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[36,14,14,bf16]>
tensor<[36,14,28,bf16]>
tensor<[36,14,28,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
tensor<[36,14,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[36,28,14,bf16]>
tensor<[36,14,28,bf16]>
tensor<[36,28,28,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
tensor<[36,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[36,28,7,bf16]>
tensor<[36,7,28,bf16]>
tensor<[36,28,28,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
tensor<[36,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[36,7,7,bf16]>
tensor<[36,7,28,bf16]>
tensor<[36,7,28,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
tensor<[36,7,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[384,128,64,f32]>
tensor<[384,64,128,f32]>
tensor<[384,128,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')
tensor<[384,128,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[384,256,256,f32]>
tensor<[384,256,32,f32]>
tensor<[384,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (3072, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
tensor<[384,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[384,32,256,f32]>
tensor<[384,256,32,f32]>
tensor<[384,32,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (384, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (384, 1, 'tile<32x32, f32>', 'dram')
tensor<[384,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (384, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[384,64,64,f32]>
tensor<[384,64,128,f32]>
tensor<[384,64,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')
tensor<[384,64,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[3,1024,1024,f32]>
tensor<[3,1024,512,f32]>
tensor<[3,1024,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (96, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (96, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (96, 16, 'tile<32x32, f32>', 'dram')
tensor<[3,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (96, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[3,1445,1445,f32]>
tensor<[3,1445,64,f32]>
tensor<[3,1445,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')
tensor<[3,1445,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[3,1445,64,f32]>
tensor<[3,64,1445,f32]>
tensor<[3,1445,1445,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
tensor<[3,1445,1445,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[3,320,320,f32]>
tensor<[3,320,320,f32]>
tensor<[3,320,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[3,512,1024,f32]>
tensor<[3,1024,512,f32]>
tensor<[3,512,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (48, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (96, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (48, 16, 'tile<32x32, f32>', 'dram')
tensor<[3,512,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (48, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[432,144,144,f32]>
tensor<[432,144,32,f32]>
tensor<[432,144,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
tensor<[432,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[432,144,32,f32]>
tensor<[432,32,144,f32]>
tensor<[432,144,144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (432, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
tensor<[432,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[480,14,7,bf16]>
tensor<[480,7,14,bf16]>
tensor<[480,14,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
tensor<[480,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[480,7,7,bf16]>
tensor<[480,7,14,bf16]>
tensor<[480,7,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
tensor<[480,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[5,1024,256,bf16]>
tensor<[5,256,32,bf16]>
tensor<[5,1024,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')
tensor<[5,1024,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[5,1024,32,bf16]>
tensor<[5,32,256,bf16]>
tensor<[5,1024,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (5, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')
tensor<[5,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[5,1200,300,bf16]>
tensor<[5,300,64,bf16]>
tensor<[5,1200,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (47, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')
tensor<[5,1200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[5,1200,64,bf16]>
tensor<[5,64,300,bf16]>
tensor<[5,1200,300,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')
tensor<[5,1200,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[640,32,32,bf16]>
tensor<[640,32,64,bf16]>
tensor<[640,32,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
tensor<[640,32,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[640,64,32,bf16]>
tensor<[640,32,64,bf16]>
tensor<[640,64,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')
tensor<[640,64,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,120,80,bf16]>
tensor<[64,80,160,bf16]>
tensor<[64,120,160,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 120 + d1, d2), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (160, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 120 + d1, d2), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
tensor<[64,120,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 120 + d1, d2), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,160,120,bf16]>
tensor<[64,120,240,bf16]>
tensor<[64,160,240,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (320, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 120 + d1, d2), memory_config: (240, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (320, 8, 'tile<32x32, bf16>', 'dram')
tensor<[64,160,240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (320, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,1,13,f32]>
tensor<[64,13,64,f32]>
tensor<[64,1,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
tensor<[64,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[64,1,1,f32]>
tensor<[64,1,64,f32]>
tensor<[64,1,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
tensor<[64,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[64,1,64,f32]>
tensor<[64,64,1,f32]>
tensor<[64,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
tensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[64,1,64,f32]>
tensor<[64,64,13,f32]>
tensor<[64,1,13,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
tensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[64,20,15,bf16]>
tensor<[64,15,30,bf16]>
tensor<[64,20,30,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
tensor<[64,20,30,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,240,160,bf16]>
tensor<[64,160,320,bf16]>
tensor<[64,240,320,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 240 + d1, d2), memory_config: (480, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (320, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 240 + d1, d2), memory_config: (480, 10, 'tile<32x32, bf16>', 'dram')
tensor<[64,240,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 240 + d1, d2), memory_config: (480, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,30,20,bf16]>
tensor<[64,20,40,bf16]>
tensor<[64,30,40,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 30 + d1, d2), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (40, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 30 + d1, d2), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
tensor<[64,30,40,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 30 + d1, d2), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,320,240,bf16]>
tensor<[64,240,480,bf16]>
tensor<[64,320,480,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (640, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 240 + d1, d2), memory_config: (480, 15, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (640, 15, 'tile<32x32, bf16>', 'dram')
tensor<[64,320,480,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (640, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,40,30,bf16]>
tensor<[64,30,60,bf16]>
tensor<[64,40,60,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 30 + d1, d2), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (80, 2, 'tile<32x32, bf16>', 'dram')
tensor<[64,40,60,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (80, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,480,320,bf16]>
tensor<[64,320,640,bf16]>
tensor<[64,480,640,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 480 + d1, d2), memory_config: (960, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (640, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 480 + d1, d2), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')
tensor<[64,480,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 480 + d1, d2), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,49,32,bf16]>
tensor<[64,32,49,bf16]>
tensor<[64,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (64, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,49,49,bf16]>
tensor<[64,49,32,bf16]>
tensor<[64,49,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
tensor<[64,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,60,40,bf16]>
tensor<[64,40,80,bf16]>
tensor<[64,60,80,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (120, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (80, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
tensor<[64,60,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,80,60,bf16]>
tensor<[64,60,120,bf16]>
tensor<[64,80,120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (160, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (160, 4, 'tile<32x32, bf16>', 'dram')
tensor<[64,80,120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (160, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,9,64,f32]>
tensor<[64,64,9,f32]>
tensor<[64,9,9,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
tensor<[64,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[64,9,9,f32]>
tensor<[64,9,64,f32]>
tensor<[64,9,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')
tensor<[64,9,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[672,14,7,bf16]>
tensor<[672,7,14,bf16]>
tensor<[672,14,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
tensor<[672,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[672,7,7,bf16]>
tensor<[672,7,14,bf16]>
tensor<[672,7,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
tensor<[672,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,15,15,bf16]>
tensor<[6,15,64,bf16]>
tensor<[6,15,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,15,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,15,64,bf16]>
tensor<[6,64,15,bf16]>
tensor<[6,15,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,15,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,10,bf16]>
tensor<[6,10,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,11,bf16]>
tensor<[6,11,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,12,bf16]>
tensor<[6,12,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,13,bf16]>
tensor<[6,13,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,14,bf16]>
tensor<[6,14,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,15,bf16]>
tensor<[6,15,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,16,bf16]>
tensor<[6,16,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,17,bf16]>
tensor<[6,17,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 17 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,18,bf16]>
tensor<[6,18,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 18 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,19,bf16]>
tensor<[6,19,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,1,bf16]>
tensor<[6,1,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,20,bf16]>
tensor<[6,20,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,2,bf16]>
tensor<[6,2,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,3,bf16]>
tensor<[6,3,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,4,bf16]>
tensor<[6,4,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,5,bf16]>
tensor<[6,5,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,1,bf16]>
tensor<[6,1,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,10,bf16]>
tensor<[6,1,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,11,bf16]>
tensor<[6,1,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,12,bf16]>
tensor<[6,1,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,13,bf16]>
tensor<[6,1,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,14,bf16]>
tensor<[6,1,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,15,bf16]>
tensor<[6,1,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,16,bf16]>
tensor<[6,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,17,bf16]>
tensor<[6,1,17,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,18,bf16]>
tensor<[6,1,18,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,19,bf16]>
tensor<[6,1,19,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,2,bf16]>
tensor<[6,1,2,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,20,bf16]>
tensor<[6,1,20,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,3,bf16]>
tensor<[6,1,3,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,4,bf16]>
tensor<[6,1,4,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,5,bf16]>
tensor<[6,1,5,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,6,bf16]>
tensor<[6,1,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,7,bf16]>
tensor<[6,1,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,8,bf16]>
tensor<[6,1,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,64,bf16]>
tensor<[6,64,9,bf16]>
tensor<[6,1,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,6,bf16]>
tensor<[6,6,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,7,bf16]>
tensor<[6,7,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,8,bf16]>
tensor<[6,8,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1,9,bf16]>
tensor<[6,9,64,bf16]>
tensor<[6,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[71,7,64,f32]>
tensor<[71,64,7,f32]>
tensor<[71,7,7,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (142, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
tensor<[71,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[71,7,7,f32]>
tensor<[71,7,64,f32]>
tensor<[71,7,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
tensor<[71,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[726,144,144,f32]>
tensor<[726,144,32,f32]>
tensor<[726,144,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')
tensor<[726,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[726,144,32,f32]>
tensor<[726,32,144,f32]>
tensor<[726,144,144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (726, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
tensor<[726,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[72,14,7,bf16]>
tensor<[72,7,14,bf16]>
tensor<[72,14,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
tensor<[72,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[72,28,28,bf16]>
tensor<[72,28,56,bf16]>
tensor<[72,28,56,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')
tensor<[72,28,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[72,56,28,bf16]>
tensor<[72,28,56,bf16]>
tensor<[72,56,56,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')
tensor<[72,56,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[72,7,7,bf16]>
tensor<[72,7,14,bf16]>
tensor<[72,7,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
tensor<[72,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[768,128,128,f32]>
tensor<[768,128,32,f32]>
tensor<[768,128,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (3072, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
tensor<[768,128,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[768,32,128,f32]>
tensor<[768,128,32,f32]>
tensor<[768,32,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
tensor<[768,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[768,32,32,f32]>
tensor<[768,32,64,f32]>
tensor<[768,32,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')
tensor<[768,32,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[768,64,32,f32]>
tensor<[768,32,64,f32]>
tensor<[768,64,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')
tensor<[768,64,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[864,144,144,f32]>
tensor<[864,144,32,f32]>
tensor<[864,144,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')
tensor<[864,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[864,144,32,f32]>
tensor<[864,32,144,f32]>
tensor<[864,144,144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
tensor<[864,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,100,100,bf16]>
tensor<[8,100,32,bf16]>
tensor<[8,100,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,100,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,100,32,bf16]>
tensor<[8,32,100,bf16]>
tensor<[8,100,100,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')
tensor<[8,100,100,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,100,920,bf16]>
tensor<[8,920,32,bf16]>
tensor<[8,100,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,100,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1024,1024,f32]>
tensor<[8,1024,80,f32]>
tensor<[8,1024,80,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')
tensor<[8,1024,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,1024,80,f32]>
tensor<[8,80,1024,f32]>
tensor<[8,1024,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
tensor<[8,1024,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,1024,80,f32]>
tensor<[8,80,9,f32]>
tensor<[8,1024,9,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
tensor<[8,1024,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,1024,9,f32]>
tensor<[8,9,80,f32]>
tensor<[8,1024,80,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (3, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')
tensor<[8,1024,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,10,10,bf16]>
tensor<[8,10,64,bf16]>
tensor<[8,10,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,10,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,10,64,bf16]>
tensor<[8,64,10,bf16]>
tensor<[8,10,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,10,bf16]>
tensor<[8,10,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,11,bf16]>
tensor<[8,11,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,12,bf16]>
tensor<[8,12,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,13,bf16]>
tensor<[8,13,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,14,bf16]>
tensor<[8,14,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,15,bf16]>
tensor<[8,15,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,16,bf16]>
tensor<[8,16,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,17,bf16]>
tensor<[8,17,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 17 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,18,bf16]>
tensor<[8,18,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 18 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,19,bf16]>
tensor<[8,19,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,1,bf16]>
tensor<[8,1,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,20,bf16]>
tensor<[8,20,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,2,bf16]>
tensor<[8,2,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,3,bf16]>
tensor<[8,3,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,4,bf16]>
tensor<[8,4,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,5,bf16]>
tensor<[8,5,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,1,bf16]>
tensor<[8,1,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,10,bf16]>
tensor<[8,1,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,11,bf16]>
tensor<[8,1,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,12,bf16]>
tensor<[8,1,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,13,bf16]>
tensor<[8,1,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,14,bf16]>
tensor<[8,1,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,15,bf16]>
tensor<[8,1,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,16,bf16]>
tensor<[8,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,17,bf16]>
tensor<[8,1,17,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,18,bf16]>
tensor<[8,1,18,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,19,bf16]>
tensor<[8,1,19,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,2,bf16]>
tensor<[8,1,2,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,20,bf16]>
tensor<[8,1,20,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,3,bf16]>
tensor<[8,1,3,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,4,bf16]>
tensor<[8,1,4,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,5,bf16]>
tensor<[8,1,5,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,6,bf16]>
tensor<[8,1,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,7,bf16]>
tensor<[8,1,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,8,bf16]>
tensor<[8,1,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,64,bf16]>
tensor<[8,64,9,bf16]>
tensor<[8,1,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,6,bf16]>
tensor<[8,6,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,7,bf16]>
tensor<[8,7,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,8,bf16]>
tensor<[8,8,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1,9,bf16]>
tensor<[8,9,64,bf16]>
tensor<[8,1,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,2048,256,bf16]>
tensor<[8,256,96,bf16]>
tensor<[8,2048,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 3, 'tile<32x32, bf16>', 'dram')
tensor<[8,2048,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,2048,32,bf16]>
tensor<[8,32,256,bf16]>
tensor<[8,2048,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
tensor<[8,2048,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,256,160,f32]>
tensor<[8,160,256,f32]>
tensor<[8,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
tensor<[8,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,256,160,f32]>
tensor<[8,160,9,f32]>
tensor<[8,256,9,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
tensor<[8,256,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,256,2048,bf16]>
tensor<[8,2048,160,bf16]>
tensor<[8,256,160,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')
tensor<[8,256,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,256,256,f32]>
tensor<[8,256,160,f32]>
tensor<[8,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')
tensor<[8,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,256,256,bf16]>
tensor<[8,256,32,bf16]>
tensor<[8,256,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,256,32,bf16]>
tensor<[8,32,2048,bf16]>
tensor<[8,256,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (8, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')
tensor<[8,256,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,256,32,bf16]>
tensor<[8,32,256,bf16]>
tensor<[8,256,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')
tensor<[8,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,256,9,f32]>
tensor<[8,9,160,f32]>
tensor<[8,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (3, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')
tensor<[8,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,300,300,bf16]>
tensor<[8,300,64,bf16]>
tensor<[8,300,64,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')
tensor<[8,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,300,64,bf16]>
tensor<[8,64,300,bf16]>
tensor<[8,300,300,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')
tensor<[8,300,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,4096,4096,f32]>
tensor<[8,4096,40,f32]>
tensor<[8,4096,40,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')
tensor<[8,4096,40,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,4096,40,f32]>
tensor<[8,40,4096,f32]>
tensor<[8,4096,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
tensor<[8,4096,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,4096,40,f32]>
tensor<[8,40,9,f32]>
tensor<[8,4096,9,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
tensor<[8,4096,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,4096,9,f32]>
tensor<[8,9,40,f32]>
tensor<[8,4096,40,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')
tensor<[8,4096,40,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,64,160,f32]>
tensor<[8,160,64,f32]>
tensor<[8,64,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
tensor<[8,64,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,64,160,f32]>
tensor<[8,160,9,f32]>
tensor<[8,64,9,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
tensor<[8,64,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,64,64,f32]>
tensor<[8,64,160,f32]>
tensor<[8,64,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')
tensor<[8,64,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,64,9,f32]>
tensor<[8,9,160,f32]>
tensor<[8,64,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (3, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')
tensor<[8,64,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[8,920,920,bf16]>
tensor<[8,920,32,bf16]>
tensor<[8,920,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')
tensor<[8,920,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[960,3,3,bf16]>
tensor<[960,3,7,bf16]>
tensor<[960,3,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')
tensor<[960,3,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[960,7,3,bf16]>
tensor<[960,3,7,bf16]>
tensor<[960,7,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
tensor<[960,7,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[100,192,f32]>
tensor<[192,4,f32]>
tensor<[100,4,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
tensor<[100,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[100,192,f32]>
tensor<[192,92,f32]>
tensor<[100,92,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (6, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')
tensor<[100,92,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[100,2048,f32]>
tensor<[2048,256,f32]>
tensor<[100,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
tensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[100,256,f32]>
tensor<[256,2048,f32]>
tensor<[100,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')
tensor<[100,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[100,256,f32]>
tensor<[256,256,f32]>
tensor<[100,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
tensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1024,1536,f32]>
tensor<[1536,6144,f32]>
tensor<[1024,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
tensor<[1024,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1024,1536,f32]>
tensor<[1536,768,f32]>
tensor<[1024,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1024,160,f32]>
tensor<[160,160,f32]>
tensor<[1024,160,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (5, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
tensor<[1024,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1024,160,bf16]>
tensor<[160,256,bf16]>
tensor<[1024,256,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (5, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
tensor<[1024,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1024,160,f32]>
tensor<[160,640,f32]>
tensor<[1024,640,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (5, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
tensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1024,2560,f32]>
tensor<[2560,640,f32]>
tensor<[1024,640,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 80, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (80, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
tensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1024,3072,f32]>
tensor<[3072,1536,f32]>
tensor<[1024,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1024,3072,f32]>
tensor<[3072,768,f32]>
tensor<[1024,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1024,6144,f32]>
tensor<[6144,1536,f32]>
tensor<[1024,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (192, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1024,640,bf16]>
tensor<[640,160,bf16]>
tensor<[1024,160,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (20, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')
tensor<[1024,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1024,640,f32]>
tensor<[640,5120,f32]>
tensor<[1024,5120,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (20, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')
tensor<[1024,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1024,640,bf16]>
tensor<[640,640,bf16]>
tensor<[1024,640,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (20, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
tensor<[1024,640,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1024,768,f32]>
tensor<[768,3072,f32]>
tensor<[1024,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
tensor<[1024,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[10,1024,bf16]>
tensor<[1024,1024,bf16]>
tensor<[10,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[10,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[10,1024,bf16]>
tensor<[1024,4096,bf16]>
tensor<[10,4096,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
tensor<[10,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[10,1536,bf16]>
tensor<[1536,50280,bf16]>
tensor<[10,50280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')
tensor<[10,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[10,1536,bf16]>
tensor<[1536,6144,bf16]>
tensor<[10,6144,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
tensor<[10,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[10,2048,bf16]>
tensor<[2048,512,bf16]>
tensor<[10,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[10,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[10,3072,f32]>
tensor<[3072,768,f32]>
tensor<[10,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[10,4096,bf16]>
tensor<[4096,1024,bf16]>
tensor<[10,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[10,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[10,512,bf16]>
tensor<[512,2048,bf16]>
tensor<[10,2048,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
tensor<[10,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[10,512,bf16]>
tensor<[512,512,bf16]>
tensor<[10,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[10,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[10,768,f32]>
tensor<[768,250002,f32]>
tensor<[10,250002,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7813, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')
tensor<[10,250002,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[10,768,f32]>
tensor<[768,3072,f32]>
tensor<[10,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
tensor<[10,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[10,768,f32]>
tensor<[768,768,f32]>
tensor<[10,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[10,96,bf16]>
tensor<[96,3072,bf16]>
tensor<[10,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[10,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[11,1536,bf16]>
tensor<[1536,50280,bf16]>
tensor<[11,50280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')
tensor<[11,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[11,1536,bf16]>
tensor<[1536,6144,bf16]>
tensor<[11,6144,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
tensor<[11,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[11,96,bf16]>
tensor<[96,3072,bf16]>
tensor<[11,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[11,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1200,1280,bf16]>
tensor<[1280,320,bf16]>
tensor<[1200,320,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')
tensor<[1200,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1200,320,f32]>
tensor<[320,1280,f32]>
tensor<[1200,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
tensor<[1200,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1200,320,f32]>
tensor<[320,320,f32]>
tensor<[1200,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
tensor<[1200,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1296,1536,f32]>
tensor<[1536,1536,f32]>
tensor<[1296,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
tensor<[1296,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1296,1536,f32]>
tensor<[1536,4608,f32]>
tensor<[1296,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')
tensor<[1296,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1296,768,f32]>
tensor<[768,2304,f32]>
tensor<[1296,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')
tensor<[1296,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1296,768,f32]>
tensor<[768,768,f32]>
tensor<[1296,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
tensor<[1296,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,128,f32]>
tensor<[128,768,f32]>
tensor<[12,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1536,f32]>
tensor<[1536,1536,f32]>
tensor<[12,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
tensor<[12,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1536,f32]>
tensor<[1536,256,f32]>
tensor<[12,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
tensor<[12,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,1536,bf16]>
tensor<[1536,50280,bf16]>
tensor<[12,50280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')
tensor<[12,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,1536,bf16]>
tensor<[1536,6144,bf16]>
tensor<[12,6144,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
tensor<[12,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.matmultensor<[12,1536,bf16]>
tensor<[1536,8960,bf16]>
tensor<[12,8960,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
tensor<[12,8960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,3072,f32]>
tensor<[3072,768,f32]>
tensor<[12,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,768,f32]>
tensor<[768,2,f32]>
tensor<[12,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[12,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,768,f32]>
tensor<[768,3072,f32]>
tensor<[12,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
tensor<[12,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,768,f32]>
tensor<[768,768,f32]>
tensor<[12,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[12,8960,bf16]>
tensor<[8960,1536,bf16]>
tensor<[12,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (280, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[12,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[12,96,bf16]>
tensor<[96,3072,bf16]>
tensor<[12,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[12,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1370,1280,f32]>
tensor<[1280,1280,f32]>
tensor<[1370,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
tensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1370,1280,f32]>
tensor<[1280,3840,f32]>
tensor<[1370,3840,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 120, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')
tensor<[1370,3840,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1370,1280,f32]>
tensor<[1280,5120,f32]>
tensor<[1370,5120,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
tensor<[1370,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1370,5120,f32]>
tensor<[5120,1280,f32]>
tensor<[1370,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (160, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
tensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[13,1536,bf16]>
tensor<[1536,50280,bf16]>
tensor<[13,50280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')
tensor<[13,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[13,1536,bf16]>
tensor<[1536,6144,bf16]>
tensor<[13,6144,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
tensor<[13,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[13,18944,bf16]>
tensor<[18944,3584,bf16]>
tensor<[13,3584,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (592, 112, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')
tensor<[13,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[13,3584,bf16]>
tensor<[3584,18944,bf16]>
tensor<[13,18944,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 592, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')
tensor<[13,18944,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[13,3584,f32]>
tensor<[3584,2,f32]>
tensor<[13,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[13,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[13,3584,f32]>
tensor<[3584,3584,f32]>
tensor<[13,3584,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
tensor<[13,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[13,3584,f32]>
tensor<[3584,512,f32]>
tensor<[13,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
tensor<[13,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[13,96,bf16]>
tensor<[96,3072,bf16]>
tensor<[13,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[13,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1445,192,f32]>
tensor<[192,192,f32]>
tensor<[1445,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (6, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
tensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1445,192,f32]>
tensor<[192,768,f32]>
tensor<[1445,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (6, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
tensor<[1445,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1445,768,f32]>
tensor<[768,192,f32]>
tensor<[1445,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
tensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[14,128,f32]>
tensor<[128,768,f32]>
tensor<[14,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[14,1536,bf16]>
tensor<[1536,50280,bf16]>
tensor<[14,50280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')
tensor<[14,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[14,1536,bf16]>
tensor<[1536,6144,bf16]>
tensor<[14,6144,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
tensor<[14,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[14,2048,f32]>
tensor<[2048,512,f32]>
tensor<[14,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
tensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[14,3072,f32]>
tensor<[3072,768,f32]>
tensor<[14,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[14,512,f32]>
tensor<[512,2048,f32]>
tensor<[14,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
tensor<[14,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[14,512,f32]>
tensor<[512,512,f32]>
tensor<[14,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
tensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[14,768,f32]>
tensor<[768,2,f32]>
tensor<[14,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[14,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[14,768,f32]>
tensor<[768,3072,f32]>
tensor<[14,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
tensor<[14,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[14,768,f32]>
tensor<[768,768,f32]>
tensor<[14,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[14,96,bf16]>
tensor<[96,3072,bf16]>
tensor<[14,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[14,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1500,3072,f32]>
tensor<[3072,768,f32]>
tensor<[1500,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
tensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1500,768,f32]>
tensor<[768,3072,f32]>
tensor<[1500,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
tensor<[1500,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1500,768,f32]>
tensor<[768,768,f32]>
tensor<[1500,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
tensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[15,1024,bf16]>
tensor<[1024,512,bf16]>
tensor<[15,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[15,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[15,1536,bf16]>
tensor<[1536,50280,bf16]>
tensor<[15,50280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')
tensor<[15,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[15,1536,bf16]>
tensor<[1536,6144,bf16]>
tensor<[15,6144,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
tensor<[15,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[15,384,bf16]>
tensor<[384,512,bf16]>
tensor<[15,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (12, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[15,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[15,512,bf16]>
tensor<[512,1024,bf16]>
tensor<[15,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[15,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[15,512,bf16]>
tensor<[512,384,bf16]>
tensor<[15,384,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')
tensor<[15,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[15,96,bf16]>
tensor<[96,3072,bf16]>
tensor<[15,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[15,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16384,128,bf16]>
tensor<[128,32,bf16]>
tensor<[16384,32,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
tensor<[16384,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16384,1536,f32]>
tensor<[1536,384,f32]>
tensor<[16384,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16384,192,f32]>
tensor<[192,768,f32]>
tensor<[16384,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (6, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
tensor<[16384,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16384,32,f32]>
tensor<[32,128,f32]>
tensor<[16384,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
tensor<[16384,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16384,32,bf16]>
tensor<[32,256,bf16]>
tensor<[16384,256,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
tensor<[16384,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[16384,32,f32]>
tensor<[32,32,f32]>
tensor<[16384,32,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
tensor<[16384,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16384,384,f32]>
tensor<[384,1536,f32]>
tensor<[16384,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (12, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
tensor<[16384,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16384,768,f32]>
tensor<[768,192,f32]>
tensor<[16384,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
tensor<[16384,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16384,768,f32]>
tensor<[768,384,f32]>
tensor<[16384,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,3072,f32]>
tensor<[3072,768,f32]>
tensor<[16,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,768,f32]>
tensor<[768,3072,f32]>
tensor<[16,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
tensor<[16,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[16,768,f32]>
tensor<[768,768,f32]>
tensor<[16,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[17424,192,f32]>
tensor<[192,192,f32]>
tensor<[17424,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (6, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
tensor<[17424,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[17424,192,f32]>
tensor<[192,576,f32]>
tensor<[17424,576,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (6, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')
tensor<[17424,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[17424,384,f32]>
tensor<[384,1152,f32]>
tensor<[17424,1152,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (12, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')
tensor<[17424,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[17424,384,f32]>
tensor<[384,384,f32]>
tensor<[17424,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (12, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
tensor<[17424,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[19200,256,bf16]>
tensor<[256,64,bf16]>
tensor<[19200,64,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')
tensor<[19200,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[19200,64,f32]>
tensor<[64,256,f32]>
tensor<[19200,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
tensor<[19200,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[19200,64,f32]>
tensor<[64,64,f32]>
tensor<[19200,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
tensor<[19200,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[196,1024,bf16]>
tensor<[1024,512,bf16]>
tensor<[196,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
tensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[196,2048,bf16]>
tensor<[2048,512,bf16]>
tensor<[196,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
tensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[196,3072,f32]>
tensor<[3072,768,f32]>
tensor<[196,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
tensor<[196,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[196,512,f32]>
tensor<[512,1536,f32]>
tensor<[196,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
tensor<[196,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[196,512,bf16]>
tensor<[512,2048,bf16]>
tensor<[196,2048,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
tensor<[196,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[196,512,f32]>
tensor<[512,512,f32]>
tensor<[196,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
tensor<[196,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[196,768,f32]>
tensor<[768,3072,f32]>
tensor<[196,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
tensor<[196,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[197,1024,f32]>
tensor<[1024,1024,f32]>
tensor<[197,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
tensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[197,1024,f32]>
tensor<[1024,4096,f32]>
tensor<[197,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
tensor<[197,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[197,3072,f32]>
tensor<[3072,768,f32]>
tensor<[197,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
tensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[197,4096,f32]>
tensor<[4096,1024,f32]>
tensor<[197,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
tensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[197,768,f32]>
tensor<[768,3072,f32]>
tensor<[197,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
tensor<[197,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[197,768,f32]>
tensor<[768,768,f32]>
tensor<[197,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
tensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,1024,f32]>
tensor<[1024,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,1024,bf16]>
tensor<[1024,1024,bf16]>
tensor<[1,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,1024,bf16]>
tensor<[1024,3072,bf16]>
tensor<[1,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,1024,bf16]>
tensor<[1024,32128,bf16]>
tensor<[1,32128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 1004, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')
tensor<[1,32128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,1024,bf16]>
tensor<[1024,4096,bf16]>
tensor<[1,4096,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
tensor<[1,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,1024,bf16]>
tensor<[1024,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,1024,f32]>
tensor<[1024,51200,f32]>
tensor<[1,51200,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,1280,f32]>
tensor<[1280,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,128,f32]>
tensor<[128,10,f32]>
tensor<[1,10,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,128,f32]>
tensor<[128,64,f32]>
tensor<[1,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,128,f32]>
tensor<[128,784,f32]>
tensor<[1,784,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 25, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')
tensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,12,f32]>
tensor<[12,3,f32]>
tensor<[1,3,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,12,f32]>
tensor<[12,64,f32]>
tensor<[1,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,1536,f32]>
tensor<[1536,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,1536,bf16]>
tensor<[1536,151936,bf16]>
tensor<[1,151936,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 4748, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')
tensor<[1,151936,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,1536,f32]>
tensor<[1536,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,1536,f32]>
tensor<[1536,256,f32]>
tensor<[1,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,1536,f32]>
tensor<[1536,3129,f32]>
tensor<[1,3129,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 98, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')
tensor<[1,3129,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,1536,bf16]>
tensor<[1536,8960,bf16]>
tensor<[1,8960,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
tensor<[1,8960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,1920,f32]>
tensor<[1920,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 60, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,2048,f32]>
tensor<[2048,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,2048,bf16]>
tensor<[2048,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,25088,f32]>
tensor<[25088,4096,f32]>
tensor<[1,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 784, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (784, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,2520,f32]>
tensor<[2520,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 79, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (79, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,3072,f32]>
tensor<[3072,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,3712,f32]>
tensor<[3712,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 116, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (116, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,384,bf16]>
tensor<[384,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (12, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,3,f32]>
tensor<[3,12,f32]>
tensor<[1,12,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,4096,f32]>
tensor<[4096,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,4096,bf16]>
tensor<[4096,1024,bf16]>
tensor<[1,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,4096,f32]>
tensor<[4096,4096,f32]>
tensor<[1,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,512,f32]>
tensor<[512,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,512,bf16]>
tensor<[512,1024,bf16]>
tensor<[1,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,512,bf16]>
tensor<[512,2048,bf16]>
tensor<[1,2048,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
tensor<[1,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,512,bf16]>
tensor<[512,32128,bf16]>
tensor<[1,32128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 1004, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')
tensor<[1,32128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,512,bf16]>
tensor<[512,384,bf16]>
tensor<[1,384,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')
tensor<[1,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,512,bf16]>
tensor<[512,50272,bf16]>
tensor<[1,50272,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 1571, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')
tensor<[1,50272,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,512,bf16]>
tensor<[512,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,64,f32]>
tensor<[64,12,f32]>
tensor<[1,12,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,64,f32]>
tensor<[64,128,f32]>
tensor<[1,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,768,f32]>
tensor<[768,1,f32]>
tensor<[1,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,768,f32]>
tensor<[768,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,768,f32]>
tensor<[768,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,768,f32]>
tensor<[768,2,f32]>
tensor<[1,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,768,f32]>
tensor<[768,21843,f32]>
tensor<[1,21843,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 683, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')
tensor<[1,21843,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,768,f32]>
tensor<[768,3,f32]>
tensor<[1,3,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,768,f32]>
tensor<[768,3072,f32]>
tensor<[1,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,768,bf16]>
tensor<[768,32128,bf16]>
tensor<[1,32128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1004, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')
tensor<[1,32128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,768,bf16]>
tensor<[768,50257,bf16]>
tensor<[1,50257,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1571, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')
tensor<[1,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,768,bf16]>
tensor<[768,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,768,bf16]>
tensor<[768,768,bf16]>
tensor<[1,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,784,f32]>
tensor<[784,128,f32]>
tensor<[1,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,8960,bf16]>
tensor<[8960,1536,bf16]>
tensor<[1,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (280, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[1,9216,f32]>
tensor<[9216,128,f32]>
tensor<[1,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 288, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (288, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[1,960,f32]>
tensor<[960,1280,f32]>
tensor<[1,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 30, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (30, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[201,3072,f32]>
tensor<[3072,768,f32]>
tensor<[201,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
tensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[201,768,f32]>
tensor<[768,3072,f32]>
tensor<[201,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
tensor<[201,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[201,768,f32]>
tensor<[768,768,f32]>
tensor<[201,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
tensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[2048,768,f32]>
tensor<[768,1280,f32]>
tensor<[2048,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')
tensor<[2048,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[2048,768,f32]>
tensor<[768,256,f32]>
tensor<[2048,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
tensor<[2048,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[2048,768,bf16]>
tensor<[768,262,bf16]>
tensor<[2048,262,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 9, 'tile<32x32, bf16>', 'dram')
tensor<[2048,262,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[2048,768,f32]>
tensor<[768,768,f32]>
tensor<[2048,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
tensor<[2048,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,1024,f32]>
tensor<[1024,1024,f32]>
tensor<[256,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,1024,f32]>
tensor<[1024,2,f32]>
tensor<[256,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
tensor<[256,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,1024,bf16]>
tensor<[1024,256,bf16]>
tensor<[256,256,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
tensor<[256,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,1024,f32]>
tensor<[1024,4096,f32]>
tensor<[256,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
tensor<[256,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,1280,f32]>
tensor<[1280,10240,f32]>
tensor<[256,10240,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')
tensor<[256,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,1280,bf16]>
tensor<[1280,1280,bf16]>
tensor<[256,1280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
tensor<[256,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[256,1280,f32]>
tensor<[1280,256,f32]>
tensor<[256,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,1280,f32]>
tensor<[1280,768,f32]>
tensor<[256,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
tensor<[256,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,1536,f32]>
tensor<[1536,6144,f32]>
tensor<[256,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
tensor<[256,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,160,f32]>
tensor<[160,160,f32]>
tensor<[256,160,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (5, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
tensor<[256,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,256,f32]>
tensor<[256,1024,f32]>
tensor<[256,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,256,f32]>
tensor<[256,256,f32]>
tensor<[256,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,256,f32]>
tensor<[256,512,f32]>
tensor<[256,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
tensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,3072,f32]>
tensor<[3072,1536,f32]>
tensor<[256,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,32,f32]>
tensor<[32,32,f32]>
tensor<[256,32,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
tensor<[256,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,4096,f32]>
tensor<[4096,1024,f32]>
tensor<[256,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,5120,f32]>
tensor<[5120,1280,f32]>
tensor<[256,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (160, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
tensor<[256,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,512,f32]>
tensor<[512,256,f32]>
tensor<[256,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,6144,f32]>
tensor<[6144,1536,f32]>
tensor<[256,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (192, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,64,f32]>
tensor<[64,64,f32]>
tensor<[256,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
tensor<[256,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[256,768,f32]>
tensor<[768,512,f32]>
tensor<[256,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
tensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[257,3072,f32]>
tensor<[3072,768,f32]>
tensor<[257,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
tensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[257,768,f32]>
tensor<[768,2304,f32]>
tensor<[257,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')
tensor<[257,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[257,768,f32]>
tensor<[768,3072,f32]>
tensor<[257,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
tensor<[257,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[257,768,f32]>
tensor<[768,768,f32]>
tensor<[257,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
tensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[25,3072,f32]>
tensor<[3072,768,f32]>
tensor<[25,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[25,768,f32]>
tensor<[768,2,f32]>
tensor<[25,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
tensor<[25,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[25,768,f32]>
tensor<[768,3072,f32]>
tensor<[25,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
tensor<[25,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[25,768,f32]>
tensor<[768,768,f32]>
tensor<[25,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[26,3072,f32]>
tensor<[3072,768,f32]>
tensor<[26,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[26,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[26,768,f32]>
tensor<[768,3072,f32]>
tensor<[26,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
tensor<[26,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[26,768,f32]>
tensor<[768,768,f32]>
tensor<[26,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[26,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[27,768,f32]>
tensor<[768,30522,f32]>
tensor<[27,30522,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 954, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')
tensor<[27,30522,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[27,768,f32]>
tensor<[768,38,f32]>
tensor<[27,38,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
tensor<[27,38,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[27,768,f32]>
tensor<[768,50257,f32]>
tensor<[27,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
tensor<[27,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[2,512,bf16]>
tensor<[512,1,bf16]>
tensor<[2,1,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[2,512,bf16]>
tensor<[512,512,bf16]>
tensor<[2,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[300,128,f32]>
tensor<[128,128,f32]>
tensor<[300,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
tensor<[300,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[300,2048,bf16]>
tensor<[2048,512,bf16]>
tensor<[300,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')
tensor<[300,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[300,320,f32]>
tensor<[320,320,f32]>
tensor<[300,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
tensor<[300,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[300,512,f32]>
tensor<[512,2048,f32]>
tensor<[300,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
tensor<[300,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[300,512,f32]>
tensor<[512,512,f32]>
tensor<[300,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
tensor<[300,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[300,64,f32]>
tensor<[64,64,f32]>
tensor<[300,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
tensor<[300,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[3136,128,f32]>
tensor<[128,128,f32]>
tensor<[3136,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
tensor<[3136,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[3136,128,f32]>
tensor<[128,384,f32]>
tensor<[3136,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')
tensor<[3136,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[3136,128,bf16]>
tensor<[128,512,bf16]>
tensor<[3136,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
tensor<[3136,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[3136,512,bf16]>
tensor<[512,128,bf16]>
tensor<[3136,128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')
tensor<[3136,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,11008,bf16]>
tensor<[11008,4096,bf16]>
tensor<[32,4096,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (344, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
tensor<[32,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,1536,f32]>
tensor<[1536,1536,f32]>
tensor<[32,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
tensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[32,1536,bf16]>
tensor<[1536,250880,bf16]>
tensor<[32,250880,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 7840, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7840, 'tile<32x32, bf16>', 'dram')
tensor<[32,250880,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7840, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,1536,f32]>
tensor<[1536,4608,f32]>
tensor<[32,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
tensor<[32,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[32,1536,f32]>
tensor<[1536,6144,f32]>
tensor<[32,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
tensor<[32,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[32,3072,bf16]>
tensor<[3072,1024,bf16]>
tensor<[32,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[32,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,3072,bf16]>
tensor<[3072,128256,bf16]>
tensor<[32,128256,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 4008, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4008, 'tile<32x32, bf16>', 'dram')
tensor<[32,128256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4008, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,3072,bf16]>
tensor<[3072,3072,bf16]>
tensor<[32,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[32,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,3072,bf16]>
tensor<[3072,8192,bf16]>
tensor<[32,8192,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
tensor<[32,8192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,4096,bf16]>
tensor<[4096,11008,bf16]>
tensor<[32,11008,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 344, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')
tensor<[32,11008,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,4096,bf16]>
tensor<[4096,32000,bf16]>
tensor<[32,32000,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 1000, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1000, 'tile<32x32, bf16>', 'dram')
tensor<[32,32000,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1000, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,4096,bf16]>
tensor<[4096,4096,bf16]>
tensor<[32,4096,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
tensor<[32,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[32,6144,f32]>
tensor<[6144,1536,f32]>
tensor<[32,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (192, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
tensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[32,8192,bf16]>
tensor<[8192,3072,bf16]>
tensor<[32,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (256, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[32,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[4096,1280,f32]>
tensor<[1280,320,f32]>
tensor<[4096,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
tensor<[4096,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4096,1536,f32]>
tensor<[1536,384,f32]>
tensor<[4096,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4096,1536,f32]>
tensor<[1536,768,f32]>
tensor<[4096,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4096,256,bf16]>
tensor<[256,64,bf16]>
tensor<[4096,64,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
tensor<[4096,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[4096,3072,f32]>
tensor<[3072,768,f32]>
tensor<[4096,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4096,320,f32]>
tensor<[320,2560,f32]>
tensor<[4096,2560,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 80, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')
tensor<[4096,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4096,320,bf16]>
tensor<[320,320,bf16]>
tensor<[4096,320,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')
tensor<[4096,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[4096,384,f32]>
tensor<[384,1536,f32]>
tensor<[4096,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (12, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
tensor<[4096,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4096,64,f32]>
tensor<[64,256,f32]>
tensor<[4096,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
tensor<[4096,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4096,64,f32]>
tensor<[64,64,f32]>
tensor<[4096,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
tensor<[4096,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4096,768,f32]>
tensor<[768,3072,f32]>
tensor<[4096,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
tensor<[4096,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4096,768,f32]>
tensor<[768,384,f32]>
tensor<[4096,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[45,3072,f32]>
tensor<[3072,768,f32]>
tensor<[45,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
tensor<[45,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[45,768,f32]>
tensor<[768,3072,f32]>
tensor<[45,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
tensor<[45,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[45,768,bf16]>
tensor<[768,50257,bf16]>
tensor<[45,50257,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1571, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1571, 'tile<32x32, bf16>', 'dram')
tensor<[45,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[45,768,bf16]>
tensor<[768,768,bf16]>
tensor<[45,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')
tensor<[45,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[4800,128,f32]>
tensor<[128,128,f32]>
tensor<[4800,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
tensor<[4800,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4800,128,f32]>
tensor<[128,512,f32]>
tensor<[4800,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
tensor<[4800,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4800,512,bf16]>
tensor<[512,128,bf16]>
tensor<[4800,128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')
tensor<[4800,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[49,1024,f32]>
tensor<[1024,1024,f32]>
tensor<[49,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
tensor<[49,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[49,1024,f32]>
tensor<[1024,3072,f32]>
tensor<[49,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
tensor<[49,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[49,1024,bf16]>
tensor<[1024,4096,bf16]>
tensor<[49,4096,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
tensor<[49,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[49,2048,bf16]>
tensor<[2048,1024,bf16]>
tensor<[49,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
tensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[49,4096,bf16]>
tensor<[4096,1024,bf16]>
tensor<[49,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')
tensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[4,1024,f32]>
tensor<[1024,1024,f32]>
tensor<[4,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[4,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4,1024,f32]>
tensor<[1024,2048,f32]>
tensor<[4,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
tensor<[4,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4,1024,f32]>
tensor<[1024,4096,f32]>
tensor<[4,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
tensor<[4,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[4,4096,f32]>
tensor<[4096,1024,f32]>
tensor<[4,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[4,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[50,3072,f32]>
tensor<[3072,768,f32]>
tensor<[50,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
tensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[50,768,f32]>
tensor<[768,3072,f32]>
tensor<[50,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
tensor<[50,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[50,768,f32]>
tensor<[768,768,f32]>
tensor<[50,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
tensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[5184,384,f32]>
tensor<[384,1152,f32]>
tensor<[5184,1152,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (12, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')
tensor<[5184,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[5184,384,f32]>
tensor<[384,384,f32]>
tensor<[5184,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (12, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
tensor<[5184,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[5184,768,f32]>
tensor<[768,2304,f32]>
tensor<[5184,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')
tensor<[5184,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[5184,768,f32]>
tensor<[768,768,f32]>
tensor<[5184,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
tensor<[5184,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[52,1024,f32]>
tensor<[1024,1024,f32]>
tensor<[52,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[52,768,f32]>
tensor<[768,1024,f32]>
tensor<[52,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[576,1536,f32]>
tensor<[1536,1536,f32]>
tensor<[576,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
tensor<[576,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[576,1536,f32]>
tensor<[1536,4608,f32]>
tensor<[576,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')
tensor<[576,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[5,1024,bf16]>
tensor<[1024,1024,bf16]>
tensor<[5,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[5,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[5,1024,bf16]>
tensor<[1024,3072,bf16]>
tensor<[5,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[5,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[5,1024,f32]>
tensor<[1024,4096,f32]>
tensor<[5,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
tensor<[5,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[5,1024,f32]>
tensor<[1024,51200,f32]>
tensor<[5,51200,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
tensor<[5,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[5,4096,f32]>
tensor<[4096,1024,f32]>
tensor<[5,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[5,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[600,256,bf16]>
tensor<[256,256,bf16]>
tensor<[600,256,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')
tensor<[600,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[600,256,bf16]>
tensor<[256,4,bf16]>
tensor<[600,4,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')
tensor<[600,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[600,256,bf16]>
tensor<[256,92,bf16]>
tensor<[600,92,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')
tensor<[600,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,1280,f32]>
tensor<[1280,10240,f32]>
tensor<[64,10240,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')
tensor<[64,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[64,1280,bf16]>
tensor<[1280,1280,bf16]>
tensor<[64,1280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (40, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')
tensor<[64,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[64,5120,f32]>
tensor<[5120,1280,f32]>
tensor<[64,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (160, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
tensor<[64,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[65536,192,f32]>
tensor<[192,768,f32]>
tensor<[65536,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (6, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
tensor<[65536,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[65536,768,f32]>
tensor<[768,192,f32]>
tensor<[65536,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
tensor<[65536,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[69696,192,f32]>
tensor<[192,192,f32]>
tensor<[69696,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (6, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
tensor<[69696,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[69696,192,f32]>
tensor<[192,576,f32]>
tensor<[69696,576,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (6, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')
tensor<[69696,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[6,1024,f32]>
tensor<[1024,1024,f32]>
tensor<[6,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[6,1024,f32]>
tensor<[1024,4096,f32]>
tensor<[6,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
tensor<[6,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[6,1024,bf16]>
tensor<[1024,512,bf16]>
tensor<[6,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
tensor<[6,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1536,bf16]>
tensor<[1536,50280,bf16]>
tensor<[6,50280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')
tensor<[6,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,1536,bf16]>
tensor<[1536,6144,bf16]>
tensor<[6,6144,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
tensor<[6,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,4096,f32]>
tensor<[4096,1024,f32]>
tensor<[6,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[6,512,bf16]>
tensor<[512,1024,bf16]>
tensor<[6,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
tensor<[6,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,512,bf16]>
tensor<[512,50272,bf16]>
tensor<[6,50272,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 1571, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')
tensor<[6,50272,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[6,96,bf16]>
tensor<[96,3072,bf16]>
tensor<[6,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[6,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[768,196,bf16]>
tensor<[196,384,bf16]>
tensor<[768,384,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
tensor<[768,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[768,384,f32]>
tensor<[384,196,f32]>
tensor<[768,196,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (12, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
tensor<[768,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[784,1024,bf16]>
tensor<[1024,256,bf16]>
tensor<[784,256,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
tensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[784,256,bf16]>
tensor<[256,1024,bf16]>
tensor<[784,1024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
tensor<[784,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[784,256,f32]>
tensor<[256,256,f32]>
tensor<[784,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
tensor<[784,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[784,256,f32]>
tensor<[256,768,f32]>
tensor<[784,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')
tensor<[784,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[784,512,bf16]>
tensor<[512,256,bf16]>
tensor<[784,256,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')
tensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[7,1536,bf16]>
tensor<[1536,50280,bf16]>
tensor<[7,50280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')
tensor<[7,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[7,1536,bf16]>
tensor<[1536,6144,bf16]>
tensor<[7,6144,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
tensor<[7,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[7,18176,bf16]>
tensor<[18176,4544,bf16]>
tensor<[7,4544,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (568, 142, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')
tensor<[7,4544,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[7,3072,f32]>
tensor<[3072,768,f32]>
tensor<[7,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[7,4544,bf16]>
tensor<[4544,18176,bf16]>
tensor<[7,18176,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (142, 568, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')
tensor<[7,18176,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[7,4544,bf16]>
tensor<[4544,4544,bf16]>
tensor<[7,4544,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (142, 142, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')
tensor<[7,4544,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[7,4544,bf16]>
tensor<[4544,4672,bf16]>
tensor<[7,4672,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (142, 146, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 146, 'tile<32x32, bf16>', 'dram')
tensor<[7,4672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 146, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[7,4544,bf16]>
tensor<[4544,65024,bf16]>
tensor<[7,65024,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (142, 2032, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2032, 'tile<32x32, bf16>', 'dram')
tensor<[7,65024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2032, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[7,768,bf16]>
tensor<[768,2,bf16]>
tensor<[7,2,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
tensor<[7,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[7,768,f32]>
tensor<[768,2304,f32]>
tensor<[7,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
tensor<[7,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[7,768,f32]>
tensor<[768,3072,f32]>
tensor<[7,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
tensor<[7,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[7,768,f32]>
tensor<[768,768,f32]>
tensor<[7,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[7,96,bf16]>
tensor<[96,3072,bf16]>
tensor<[7,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[7,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1536,bf16]>
tensor<[1536,50280,bf16]>
tensor<[8,50280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')
tensor<[8,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,1536,bf16]>
tensor<[1536,6144,bf16]>
tensor<[8,6144,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
tensor<[8,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[8,96,bf16]>
tensor<[96,3072,bf16]>
tensor<[8,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[8,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[920,2048,f32]>
tensor<[2048,256,f32]>
tensor<[920,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
tensor<[920,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[920,256,f32]>
tensor<[256,2048,f32]>
tensor<[920,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')
tensor<[920,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[920,256,bf16]>
tensor<[256,256,bf16]>
tensor<[920,256,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')
tensor<[920,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[9,1024,f32]>
tensor<[1024,1024,f32]>
tensor<[9,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,1024,f32]>
tensor<[1024,128,f32]>
tensor<[9,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,1024,f32]>
tensor<[1024,4096,f32]>
tensor<[9,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,128,f32]>
tensor<[128,1024,f32]>
tensor<[9,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,128,f32]>
tensor<[128,2048,f32]>
tensor<[9,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,128,f32]>
tensor<[128,30000,f32]>
tensor<[9,30000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 938, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')
tensor<[9,30000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,128,f32]>
tensor<[128,4096,f32]>
tensor<[9,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,128,f32]>
tensor<[128,768,f32]>
tensor<[9,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,1536,bf16]>
tensor<[1536,50280,bf16]>
tensor<[9,50280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')
tensor<[9,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[9,1536,bf16]>
tensor<[1536,6144,bf16]>
tensor<[9,6144,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
tensor<[9,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[9,16384,f32]>
tensor<[16384,4096,f32]>
tensor<[9,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,2048,f32]>
tensor<[2048,128,f32]>
tensor<[9,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,2048,f32]>
tensor<[2048,2048,f32]>
tensor<[9,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,2048,f32]>
tensor<[2048,8192,f32]>
tensor<[9,8192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 256, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')
tensor<[9,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,3072,f32]>
tensor<[3072,768,f32]>
tensor<[9,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,4096,f32]>
tensor<[4096,1024,f32]>
tensor<[9,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,4096,f32]>
tensor<[4096,128,f32]>
tensor<[9,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,4096,f32]>
tensor<[4096,16384,f32]>
tensor<[9,16384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 512, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')
tensor<[9,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,4096,f32]>
tensor<[4096,4096,f32]>
tensor<[9,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,768,f32]>
tensor<[768,128,f32]>
tensor<[9,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,768,bf16]>
tensor<[768,1280,bf16]>
tensor<[9,1280,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')
tensor<[9,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[9,768,f32]>
tensor<[768,3072,f32]>
tensor<[9,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
tensor<[9,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,768,bf16]>
tensor<[768,320,bf16]>
tensor<[9,320,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')
tensor<[9,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[9,768,bf16]>
tensor<[768,640,bf16]>
tensor<[9,640,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')
tensor<[9,640,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.matmultensor<[9,768,f32]>
tensor<[768,768,f32]>
tensor<[9,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,8192,f32]>
tensor<[8192,2048,f32]>
tensor<[9,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (256, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.matmultensor<[9,96,bf16]>
tensor<[96,3072,bf16]>
tensor<[9,3072,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
tensor<[9,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan

ttnn.max

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.maxtensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,197,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1370,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,6,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,24,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,28,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,3,1445,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (1, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,64,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,71,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 71 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[2,8,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[4,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[121,6,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (23, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[16,8,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[16,8,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,197,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,201,201,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,201,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,257,257,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,45,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,12,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,197,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,5,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,1,16384,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,1,16384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,1,19200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,1,19200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 600, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,27,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,27,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,2,4096,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,2,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,2,4800,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,2,4800,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 150, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,32,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,32,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')dim_arg: [1 : i32]
keep_dim: False
tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,5,1024,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,5,1200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,5,1200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 38, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,15,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,6,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,2048,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,256,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[1,8,300,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,300,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[2,12,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[36,12,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (14, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[36,24,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (27, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[484,6,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (91, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[4,16,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[4,16,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[4,48,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 48 + d1, d2), memory_config: (6, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[64,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[64,4,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[64,4,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[8,100,100,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[8,100,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[8,100,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[8,100,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[8,920,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[8,920,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[9,24,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (7, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.maxtensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[9,48,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 48 + d1, d2), memory_config: (14, 5, 'tile<32x32, f32>', 'dram')nannan

ttnn.max_pool2d

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.max_pool2dtensor<[1,1,12544,128,bf16]>
tensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 128 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 112 : si32
input_width: 112 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,784,128,bf16]>
tensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 128 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 28 : si32
input_width: 28 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,3136,128,bf16]>
tensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 128 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 56 : si32
input_width: 56 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,4096,128,bf16]>
tensor<[1,1,1024,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 128 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 64 : si32
input_width: 64 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,784,16,bf16]>
tensor<[1,1,196,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 16, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 16 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 28 : si32
input_width: 28 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 16, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,5041,192,bf16]>
tensor<[1,1,1225,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 5041 + d2, d3), memory_config: (5041, 192, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 192 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 71 : si32
input_width: 71 : si32
kernel_height: 3 : si32
kernel_width: 3 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,196,256,bf16]>
tensor<[1,1,49,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 256 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 14 : si32
input_width: 14 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,1024,256,bf16]>
tensor<[1,1,256,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 256 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 32 : si32
input_width: 32 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,3136,256,bf16]>
tensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 256 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 56 : si32
input_width: 56 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,784,320,bf16]>
tensor<[1,1,196,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 320, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 320, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 320 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 28 : si32
input_width: 28 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 320, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,12544,32,bf16]>
tensor<[1,1,3136,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 32 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 112 : si32
input_width: 112 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,65536,32,bf16]>
tensor<[1,1,16384,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 32 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 256 : si32
input_width: 256 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,1225,384,bf16]>
tensor<[1,1,289,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (1225, 384, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 384 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 35 : si32
input_width: 35 : si32
kernel_height: 3 : si32
kernel_width: 3 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,196,4,bf16]>
tensor<[1,1,49,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 4, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 4, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 4 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 14 : si32
input_width: 14 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,49,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 4, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,196,512,bf16]>
tensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 512 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 14 : si32
input_width: 14 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,784,512,bf16]>
tensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 512 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 28 : si32
input_width: 28 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,196,640,bf16]>
tensor<[1,1,49,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 640, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 640, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 640 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 14 : si32
input_width: 14 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,49,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 640, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,12544,64,bf16]>
tensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 64 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 112 : si32
input_width: 112 : si32
kernel_height: 3 : si32
kernel_width: 3 : si32
padding_height: 1 : si32
padding_width: 1 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,16384,64,bf16]>
tensor<[1,1,4096,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 64 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 128 : si32
input_width: 128 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,21609,64,bf16]>
tensor<[1,1,5329,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (21609, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 64 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 147 : si32
input_width: 147 : si32
kernel_height: 3 : si32
kernel_width: 3 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,50176,64,bf16]>
tensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 64 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 224 : si32
input_width: 224 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,576,64,bf16]>
tensor<[1,1,144,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (576, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 64 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 24 : si32
input_width: 24 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,144,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,230400,64,bf16]>
tensor<[1,1,57600,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 230400 + d2, d3), memory_config: (230400, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 64 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 360 : si32
input_width: 640 : si32
kernel_height: 3 : si32
kernel_width: 3 : si32
padding_height: 1 : si32
padding_width: 1 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,3136,64,bf16]>
tensor<[1,1,784,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 64 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 56 : si32
input_width: 56 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.max_pool2dtensor<[1,1,196,832,bf16]>
tensor<[1,1,49,832,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 832, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 832, 'bf16', 'dram')
batch_size: 1 : si32
ceil_mode: False
channels: 832 : si32
dilation_height: 1 : si32
dilation_width: 1 : si32
input_height: 14 : si32
input_width: 14 : si32
kernel_height: 2 : si32
kernel_width: 2 : si32
padding_height: 0 : si32
padding_width: 0 : si32
stride_height: 2 : si32
stride_width: 2 : si32
tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 832, 'bf16', 'dram')nannan

ttnn.maximum

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.maximumtensor<[1,f32]>
tensor<[3234,2,f32]>
tensor<[3234,2,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1152,7,7,bf16]>
tensor<[1,1152,7,7,bf16]>
tensor<[1,1152,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1152,8,8,bf16]>
tensor<[1,1152,8,8,bf16]>
tensor<[1,1152,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,116,14,14,bf16]>
tensor<[1,116,14,14,bf16]>
tensor<[1,116,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,116,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1248,9,9,bf16]>
tensor<[1,1248,9,9,bf16]>
tensor<[1,1248,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1280,10,10,bf16]>
tensor<[1,1280,10,10,bf16]>
tensor<[1,1280,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1280,12,12,bf16]>
tensor<[1,1280,12,12,bf16]>
tensor<[1,1280,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1280,7,7,bf16]>
tensor<[1,1280,7,7,bf16]>
tensor<[1,1280,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1280,9,9,bf16]>
tensor<[1,1280,9,9,bf16]>
tensor<[1,1280,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,1,1,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,128,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,2,2,f32]>
tensor<[1,128,2,2,f32]>
tensor<[1,128,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,128,3,3,f32]>
tensor<[1,128,3,3,f32]>
tensor<[1,128,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,128,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,5,5,f32]>
tensor<[1,128,5,5,f32]>
tensor<[1,128,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,134,28,28,bf16]>
tensor<[1,134,28,28,bf16]>
tensor<[1,134,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,134,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1392,10,10,bf16]>
tensor<[1,1392,10,10,bf16]>
tensor<[1,1392,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,150,150,bf16]>
tensor<[1,144,150,150,bf16]>
tensor<[1,144,150,150,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,190,190,bf16]>
tensor<[1,144,190,190,bf16]>
tensor<[1,144,190,190,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,28,28,bf16]>
tensor<[1,144,28,28,bf16]>
tensor<[1,144,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,30,30,bf16]>
tensor<[1,144,30,30,bf16]>
tensor<[1,144,30,30,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,33,33,bf16]>
tensor<[1,144,33,33,bf16]>
tensor<[1,144,33,33,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,56,56,bf16]>
tensor<[1,144,56,56,bf16]>
tensor<[1,144,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,60,60,bf16]>
tensor<[1,144,60,60,bf16]>
tensor<[1,144,60,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,65,65,bf16]>
tensor<[1,144,65,65,bf16]>
tensor<[1,144,65,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,75,75,bf16]>
tensor<[1,144,75,75,bf16]>
tensor<[1,144,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,95,95,bf16]>
tensor<[1,144,95,95,bf16]>
tensor<[1,144,95,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,14,56,56,bf16]>
tensor<[1,14,56,56,bf16]>
tensor<[1,14,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,160,7,7,bf16]>
tensor<[1,160,7,7,bf16]>
tensor<[1,160,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1632,12,12,bf16]>
tensor<[1,1632,12,12,bf16]>
tensor<[1,1632,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,168,28,28,bf16]>
tensor<[1,168,28,28,bf16]>
tensor<[1,168,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,168,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,14,14,bf16]>
tensor<[1,192,14,14,bf16]>
tensor<[1,192,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,28,28,bf16]>
tensor<[1,192,28,28,bf16]>
tensor<[1,192,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,38,38,bf16]>
tensor<[1,192,38,38,bf16]>
tensor<[1,192,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,48,48,bf16]>
tensor<[1,192,48,48,bf16]>
tensor<[1,192,48,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,75,75,bf16]>
tensor<[1,192,75,75,bf16]>
tensor<[1,192,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,95,95,bf16]>
tensor<[1,192,95,95,bf16]>
tensor<[1,192,95,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,196,14,14,bf16]>
tensor<[1,196,14,14,bf16]>
tensor<[1,196,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,240,15,15,bf16]>
tensor<[1,240,15,15,bf16]>
tensor<[1,240,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,240,30,30,bf16]>
tensor<[1,240,30,30,bf16]>
tensor<[1,240,30,30,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,24,56,56,bf16]>
tensor<[1,24,56,56,bf16]>
tensor<[1,24,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,10,10,f32]>
tensor<[1,256,10,10,f32]>
tensor<[1,256,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,256,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,2,2,f32]>
tensor<[1,256,2,2,f32]>
tensor<[1,256,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,256,3,3,f32]>
tensor<[1,256,3,3,f32]>
tensor<[1,256,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,256,5,5,f32]>
tensor<[1,256,5,5,f32]>
tensor<[1,256,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,272,7,7,bf16]>
tensor<[1,272,7,7,bf16]>
tensor<[1,272,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,288,17,17,bf16]>
tensor<[1,288,17,17,bf16]>
tensor<[1,288,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,288,19,19,bf16]>
tensor<[1,288,19,19,bf16]>
tensor<[1,288,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,288,33,33,bf16]>
tensor<[1,288,33,33,bf16]>
tensor<[1,288,33,33,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,288,38,38,bf16]>
tensor<[1,288,38,38,bf16]>
tensor<[1,288,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,28,28,28,bf16]>
tensor<[1,28,28,28,bf16]>
tensor<[1,28,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,320,28,28,bf16]>
tensor<[1,320,28,28,bf16]>
tensor<[1,320,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,112,112,bf16]>
tensor<[1,32,112,112,bf16]>
tensor<[1,32,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,120,120,bf16]>
tensor<[1,32,120,120,bf16]>
tensor<[1,32,120,120,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,130,130,bf16]>
tensor<[1,32,130,130,bf16]>
tensor<[1,32,130,130,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,150,150,bf16]>
tensor<[1,32,150,150,bf16]>
tensor<[1,32,150,150,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,190,190,bf16]>
tensor<[1,32,190,190,bf16]>
tensor<[1,32,190,190,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,334,14,14,bf16]>
tensor<[1,334,14,14,bf16]>
tensor<[1,334,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,334,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,336,24,24,bf16]>
tensor<[1,336,24,24,bf16]>
tensor<[1,336,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,336,48,48,bf16]>
tensor<[1,336,48,48,bf16]>
tensor<[1,336,48,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,34,28,28,bf16]>
tensor<[1,34,28,28,bf16]>
tensor<[1,34,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,384,14,14,bf16]>
tensor<[1,384,14,14,bf16]>
tensor<[1,384,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,40,56,56,bf16]>
tensor<[1,40,56,56,bf16]>
tensor<[1,40,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,462,7,7,bf16]>
tensor<[1,462,7,7,bf16]>
tensor<[1,462,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,462,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,46,28,28,bf16]>
tensor<[1,46,28,28,bf16]>
tensor<[1,46,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,480,15,15,bf16]>
tensor<[1,480,15,15,bf16]>
tensor<[1,480,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,5,5,f32]>
tensor<[1,512,5,5,f32]>
tensor<[1,512,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,512,7,7,bf16]>
tensor<[1,512,7,7,bf16]>
tensor<[1,512,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,528,17,17,bf16]>
tensor<[1,528,17,17,bf16]>
tensor<[1,528,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,576,14,14,bf16]>
tensor<[1,576,14,14,bf16]>
tensor<[1,576,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,576,19,19,bf16]>
tensor<[1,576,19,19,bf16]>
tensor<[1,576,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,576,7,7,bf16]>
tensor<[1,576,7,7,bf16]>
tensor<[1,576,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,58,28,28,bf16]>
tensor<[1,58,28,28,bf16]>
tensor<[1,58,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,640,14,14,bf16]>
tensor<[1,640,14,14,bf16]>
tensor<[1,640,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,112,112,bf16]>
tensor<[1,64,112,112,bf16]>
tensor<[1,64,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,1,1,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,64,2,2,f32]>
tensor<[1,64,2,2,f32]>
tensor<[1,64,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,64,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,672,15,15,bf16]>
tensor<[1,672,15,15,bf16]>
tensor<[1,672,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,672,24,24,bf16]>
tensor<[1,672,24,24,bf16]>
tensor<[1,672,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,672,8,8,bf16]>
tensor<[1,672,8,8,bf16]>
tensor<[1,672,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,68,14,14,bf16]>
tensor<[1,68,14,14,bf16]>
tensor<[1,68,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,68,56,56,bf16]>
tensor<[1,68,56,56,bf16]>
tensor<[1,68,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,720,17,17,bf16]>
tensor<[1,720,17,17,bf16]>
tensor<[1,720,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,720,9,9,bf16]>
tensor<[1,720,9,9,bf16]>
tensor<[1,720,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,78,28,28,bf16]>
tensor<[1,78,28,28,bf16]>
tensor<[1,78,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,816,10,10,bf16]>
tensor<[1,816,10,10,bf16]>
tensor<[1,816,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,816,19,19,bf16]>
tensor<[1,816,19,19,bf16]>
tensor<[1,816,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,960,12,12,bf16]>
tensor<[1,960,12,12,bf16]>
tensor<[1,960,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,960,24,24,bf16]>
tensor<[1,960,24,24,bf16]>
tensor<[1,960,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,112,112,bf16]>
tensor<[1,96,112,112,bf16]>
tensor<[1,96,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,120,120,bf16]>
tensor<[1,96,120,120,bf16]>
tensor<[1,96,120,120,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,130,130,bf16]>
tensor<[1,96,130,130,bf16]>
tensor<[1,96,130,130,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,56,56,bf16]>
tensor<[1,96,56,56,bf16]>
tensor<[1,96,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,60,60,bf16]>
tensor<[1,96,60,60,bf16]>
tensor<[1,96,60,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,65,65,bf16]>
tensor<[1,96,65,65,bf16]>
tensor<[1,96,65,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,98,28,28,bf16]>
tensor<[1,98,28,28,bf16]>
tensor<[1,98,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,512,512,bf16]>
tensor<[1,32,512,512,bf16]>
tensor<[1,32,512,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,100,14,14,bf16]>
tensor<[1,100,14,14,bf16]>
tensor<[1,100,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,100,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,100,192,bf16]>
tensor<[1,100,192,bf16]>
tensor<[1,100,192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,100,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1024,10,10,bf16]>
tensor<[1,1024,10,10,bf16]>
tensor<[1,1024,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1024,14,14,bf16]>
tensor<[1,1024,14,14,bf16]>
tensor<[1,1024,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1024,19,19,bf16]>
tensor<[1,1024,19,19,bf16]>
tensor<[1,1024,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1024,28,28,bf16]>
tensor<[1,1024,28,28,bf16]>
tensor<[1,1024,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1024,45,80,bf16]>
tensor<[1,1024,45,80,bf16]>
tensor<[1,1024,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1024,7,7,bf16]>
tensor<[1,1024,7,7,bf16]>
tensor<[1,1024,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1056,14,14,bf16]>
tensor<[1,1056,14,14,bf16]>
tensor<[1,1056,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1056,7,7,bf16]>
tensor<[1,1056,7,7,bf16]>
tensor<[1,1056,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1088,14,14,bf16]>
tensor<[1,1088,14,14,bf16]>
tensor<[1,1088,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1088,7,7,bf16]>
tensor<[1,1088,7,7,bf16]>
tensor<[1,1088,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,10,2048,bf16]>
tensor<[1,10,2048,bf16]>
tensor<[1,10,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,10,3072,bf16]>
tensor<[1,10,3072,bf16]>
tensor<[1,10,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,10,4096,bf16]>
tensor<[1,10,4096,bf16]>
tensor<[1,10,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1120,14,14,bf16]>
tensor<[1,1120,14,14,bf16]>
tensor<[1,1120,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1120,7,7,bf16]>
tensor<[1,1120,7,7,bf16]>
tensor<[1,1120,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,112,14,14,bf16]>
tensor<[1,112,14,14,bf16]>
tensor<[1,112,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1152,14,14,bf16]>
tensor<[1,1152,14,14,bf16]>
tensor<[1,1152,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1152,7,7,bf16]>
tensor<[1,1152,7,7,bf16]>
tensor<[1,1152,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1184,14,14,bf16]>
tensor<[1,1184,14,14,bf16]>
tensor<[1,1184,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1184,7,7,bf16]>
tensor<[1,1184,7,7,bf16]>
tensor<[1,1184,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,12,bf16]>
tensor<[1,12,bf16]>
tensor<[1,12,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,120,28,28,bf16]>
tensor<[1,120,28,28,bf16]>
tensor<[1,120,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,120,40,40,f32]>
tensor<[1,120,40,40,f32]>
tensor<[1,120,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,1216,14,14,bf16]>
tensor<[1,1216,14,14,bf16]>
tensor<[1,1216,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1216,7,7,bf16]>
tensor<[1,1216,7,7,bf16]>
tensor<[1,1216,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1248,14,14,bf16]>
tensor<[1,1248,14,14,bf16]>
tensor<[1,1248,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1248,7,7,bf16]>
tensor<[1,1248,7,7,bf16]>
tensor<[1,1248,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,bf16]>
tensor<[1,128,bf16]>
tensor<[1,128,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1280,14,14,bf16]>
tensor<[1,1280,14,14,bf16]>
tensor<[1,1280,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
tensor<[1,1280,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1280,7,7,bf16]>
tensor<[1,1280,7,7,bf16]>
tensor<[1,1280,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,112,112,bf16]>
tensor<[1,128,112,112,bf16]>
tensor<[1,128,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,14,14,bf16]>
tensor<[1,128,14,14,bf16]>
tensor<[1,128,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,150,150,bf16]>
tensor<[1,128,150,150,bf16]>
tensor<[1,128,150,150,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,17,17,bf16]>
tensor<[1,128,17,17,bf16]>
tensor<[1,128,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,180,320,bf16]>
tensor<[1,128,180,320,bf16]>
tensor<[1,128,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,75,75,bf16]>
tensor<[1,128,75,75,bf16]>
tensor<[1,128,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,7,7,bf16]>
tensor<[1,128,7,7,bf16]>
tensor<[1,128,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,128,90,160,bf16]>
tensor<[1,128,90,160,bf16]>
tensor<[1,128,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1312,14,14,bf16]>
tensor<[1,1312,14,14,bf16]>
tensor<[1,1312,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1312,7,7,bf16]>
tensor<[1,1312,7,7,bf16]>
tensor<[1,1312,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1344,14,14,bf16]>
tensor<[1,1344,14,14,bf16]>
tensor<[1,1344,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1344,28,28,bf16]>
tensor<[1,1344,28,28,bf16]>
tensor<[1,1344,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1344,7,7,bf16]>
tensor<[1,1344,7,7,bf16]>
tensor<[1,1344,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1376,14,14,bf16]>
tensor<[1,1376,14,14,bf16]>
tensor<[1,1376,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1376,7,7,bf16]>
tensor<[1,1376,7,7,bf16]>
tensor<[1,1376,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1392,14,14,bf16]>
tensor<[1,1392,14,14,bf16]>
tensor<[1,1392,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1392,28,28,bf16]>
tensor<[1,1392,28,28,bf16]>
tensor<[1,1392,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1408,14,14,bf16]>
tensor<[1,1408,14,14,bf16]>
tensor<[1,1408,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1408,7,7,bf16]>
tensor<[1,1408,7,7,bf16]>
tensor<[1,1408,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1440,14,14,bf16]>
tensor<[1,1440,14,14,bf16]>
tensor<[1,1440,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1440,7,7,bf16]>
tensor<[1,1440,7,7,bf16]>
tensor<[1,1440,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,14,14,bf16]>
tensor<[1,144,14,14,bf16]>
tensor<[1,144,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,144,7,7,bf16]>
tensor<[1,144,7,7,bf16]>
tensor<[1,144,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1472,14,14,bf16]>
tensor<[1,1472,14,14,bf16]>
tensor<[1,1472,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1472,7,7,bf16]>
tensor<[1,1472,7,7,bf16]>
tensor<[1,1472,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1504,14,14,bf16]>
tensor<[1,1504,14,14,bf16]>
tensor<[1,1504,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1504,7,7,bf16]>
tensor<[1,1504,7,7,bf16]>
tensor<[1,1504,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1536,10,10,bf16]>
tensor<[1,1536,10,10,bf16]>
tensor<[1,1536,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1536,14,14,bf16]>
tensor<[1,1536,14,14,bf16]>
tensor<[1,1536,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1536,7,7,bf16]>
tensor<[1,1536,7,7,bf16]>
tensor<[1,1536,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1568,14,14,bf16]>
tensor<[1,1568,14,14,bf16]>
tensor<[1,1568,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1568,7,7,bf16]>
tensor<[1,1568,7,7,bf16]>
tensor<[1,1568,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1600,14,14,bf16]>
tensor<[1,1600,14,14,bf16]>
tensor<[1,1600,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1600,7,7,bf16]>
tensor<[1,1600,7,7,bf16]>
tensor<[1,1600,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,160,14,14,bf16]>
tensor<[1,160,14,14,bf16]>
tensor<[1,160,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,160,28,28,bf16]>
tensor<[1,160,28,28,bf16]>
tensor<[1,160,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,160,56,56,bf16]>
tensor<[1,160,56,56,bf16]>
tensor<[1,160,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,160,7,7,bf16]>
tensor<[1,160,7,7,bf16]>
tensor<[1,160,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1632,14,14,bf16]>
tensor<[1,1632,14,14,bf16]>
tensor<[1,1632,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1632,7,7,bf16]>
tensor<[1,1632,7,7,bf16]>
tensor<[1,1632,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1664,14,14,bf16]>
tensor<[1,1664,14,14,bf16]>
tensor<[1,1664,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1664,7,7,bf16]>
tensor<[1,1664,7,7,bf16]>
tensor<[1,1664,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,168,1,1,bf16]>
tensor<[1,168,1,1,bf16]>
tensor<[1,168,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,168,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1696,14,14,bf16]>
tensor<[1,1696,14,14,bf16]>
tensor<[1,1696,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1696,7,7,bf16]>
tensor<[1,1696,7,7,bf16]>
tensor<[1,1696,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,16,14,14,bf16]>
tensor<[1,16,14,14,bf16]>
tensor<[1,16,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,16,224,224,bf16]>
tensor<[1,16,224,224,bf16]>
tensor<[1,16,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1728,14,14,bf16]>
tensor<[1,1728,14,14,bf16]>
tensor<[1,1728,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1728,7,7,bf16]>
tensor<[1,1728,7,7,bf16]>
tensor<[1,1728,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,174,1,1,bf16]>
tensor<[1,174,1,1,bf16]>
tensor<[1,174,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1760,14,14,bf16]>
tensor<[1,1760,14,14,bf16]>
tensor<[1,1760,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1760,7,7,bf16]>
tensor<[1,1760,7,7,bf16]>
tensor<[1,1760,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1792,14,14,bf16]>
tensor<[1,1792,14,14,bf16]>
tensor<[1,1792,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1792,7,7,bf16]>
tensor<[1,1792,7,7,bf16]>
tensor<[1,1792,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1824,7,7,bf16]>
tensor<[1,1824,7,7,bf16]>
tensor<[1,1824,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1824,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1856,7,7,bf16]>
tensor<[1,1856,7,7,bf16]>
tensor<[1,1856,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1856,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1888,7,7,bf16]>
tensor<[1,1888,7,7,bf16]>
tensor<[1,1888,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1888,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,18,14,14,bf16]>
tensor<[1,18,14,14,bf16]>
tensor<[1,18,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,18,28,28,bf16]>
tensor<[1,18,28,28,bf16]>
tensor<[1,18,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,18,56,56,bf16]>
tensor<[1,18,56,56,bf16]>
tensor<[1,18,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1920,7,7,bf16]>
tensor<[1,1920,7,7,bf16]>
tensor<[1,1920,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,14,14,bf16]>
tensor<[1,192,14,14,bf16]>
tensor<[1,192,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,17,17,bf16]>
tensor<[1,192,17,17,bf16]>
tensor<[1,192,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,28,28,bf16]>
tensor<[1,192,28,28,bf16]>
tensor<[1,192,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,35,35,bf16]>
tensor<[1,192,35,35,bf16]>
tensor<[1,192,35,35,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,56,56,bf16]>
tensor<[1,192,56,56,bf16]>
tensor<[1,192,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,7,7,bf16]>
tensor<[1,192,7,7,bf16]>
tensor<[1,192,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,192,8,8,bf16]>
tensor<[1,192,8,8,bf16]>
tensor<[1,192,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1,2048,bf16]>
tensor<[1,1,2048,bf16]>
tensor<[1,1,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,2048,10,10,bf16]>
tensor<[1,2048,10,10,bf16]>
tensor<[1,2048,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,2048,14,14,bf16]>
tensor<[1,2048,14,14,bf16]>
tensor<[1,2048,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,2048,23,40,bf16]>
tensor<[1,2048,23,40,bf16]>
tensor<[1,2048,23,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,2048,7,7,bf16]>
tensor<[1,2048,7,7,bf16]>
tensor<[1,2048,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,208,14,14,bf16]>
tensor<[1,208,14,14,bf16]>
tensor<[1,208,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,20,1,1,bf16]>
tensor<[1,20,1,1,bf16]>
tensor<[1,20,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,224,14,14,bf16]>
tensor<[1,224,14,14,bf16]>
tensor<[1,224,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,224,17,17,bf16]>
tensor<[1,224,17,17,bf16]>
tensor<[1,224,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,224,28,28,bf16]>
tensor<[1,224,28,28,bf16]>
tensor<[1,224,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,224,35,35,bf16]>
tensor<[1,224,35,35,bf16]>
tensor<[1,224,35,35,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,224,56,56,bf16]>
tensor<[1,224,56,56,bf16]>
tensor<[1,224,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,224,7,7,bf16]>
tensor<[1,224,7,7,bf16]>
tensor<[1,224,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,232,112,112,bf16]>
tensor<[1,232,112,112,bf16]>
tensor<[1,232,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,232,56,56,bf16]>
tensor<[1,232,56,56,bf16]>
tensor<[1,232,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,240,1,1,bf16]>
tensor<[1,240,1,1,bf16]>
tensor<[1,240,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,24,112,112,bf16]>
tensor<[1,24,112,112,bf16]>
tensor<[1,24,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,24,14,14,bf16]>
tensor<[1,24,14,14,bf16]>
tensor<[1,24,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,24,1,1,bf16]>
tensor<[1,24,1,1,bf16]>
tensor<[1,24,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,2520,14,14,bf16]>
tensor<[1,2520,14,14,bf16]>
tensor<[1,2520,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,2520,7,7,bf16]>
tensor<[1,2520,7,7,bf16]>
tensor<[1,2520,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,128,128,bf16]>
tensor<[1,256,128,128,bf16]>
tensor<[1,256,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,17,17,bf16]>
tensor<[1,256,17,17,bf16]>
tensor<[1,256,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,180,320,bf16]>
tensor<[1,256,180,320,bf16]>
tensor<[1,256,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,38,38,bf16]>
tensor<[1,256,38,38,bf16]>
tensor<[1,256,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,45,80,bf16]>
tensor<[1,256,45,80,bf16]>
tensor<[1,256,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,56,56,bf16]>
tensor<[1,256,56,56,bf16]>
tensor<[1,256,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,75,75,bf16]>
tensor<[1,256,75,75,bf16]>
tensor<[1,256,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,7,7,bf16]>
tensor<[1,256,7,7,bf16]>
tensor<[1,256,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,8,8,bf16]>
tensor<[1,256,8,8,bf16]>
tensor<[1,256,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,256,90,160,bf16]>
tensor<[1,256,90,160,bf16]>
tensor<[1,256,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,288,14,14,bf16]>
tensor<[1,288,14,14,bf16]>
tensor<[1,288,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,288,28,28,bf16]>
tensor<[1,288,28,28,bf16]>
tensor<[1,288,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,320,14,14,bf16]>
tensor<[1,320,14,14,bf16]>
tensor<[1,320,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,320,17,17,bf16]>
tensor<[1,320,17,17,bf16]>
tensor<[1,320,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,320,28,28,bf16]>
tensor<[1,320,28,28,bf16]>
tensor<[1,320,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,320,7,7,bf16]>
tensor<[1,320,7,7,bf16]>
tensor<[1,320,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,320,8,8,bf16]>
tensor<[1,320,8,8,bf16]>
tensor<[1,320,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,112,112,bf16]>
tensor<[1,32,112,112,bf16]>
tensor<[1,32,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,120,160,bf16]>
tensor<[1,32,120,160,bf16]>
tensor<[1,32,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,147,147,bf16]>
tensor<[1,32,147,147,bf16]>
tensor<[1,32,147,147,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,149,149,bf16]>
tensor<[1,32,149,149,bf16]>
tensor<[1,32,149,149,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,149,149,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
tensor<[1,32,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,150,150,bf16]>
tensor<[1,32,150,150,bf16]>
tensor<[1,32,150,150,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,1,1,bf16]>
tensor<[1,32,1,1,bf16]>
tensor<[1,32,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,26,26,bf16]>
tensor<[1,32,26,26,bf16]>
tensor<[1,32,26,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,26,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
tensor<[1,32,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,30,40,bf16]>
tensor<[1,32,30,40,bf16]>
tensor<[1,32,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
tensor<[1,32,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,60,80,bf16]>
tensor<[1,32,60,80,bf16]>
tensor<[1,32,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
tensor<[1,32,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,336,112,112,bf16]>
tensor<[1,336,112,112,bf16]>
tensor<[1,336,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,336,14,14,bf16]>
tensor<[1,336,14,14,bf16]>
tensor<[1,336,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,336,56,56,bf16]>
tensor<[1,336,56,56,bf16]>
tensor<[1,336,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,348,1,1,bf16]>
tensor<[1,348,1,1,bf16]>
tensor<[1,348,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,352,14,14,bf16]>
tensor<[1,352,14,14,bf16]>
tensor<[1,352,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,352,28,28,bf16]>
tensor<[1,352,28,28,bf16]>
tensor<[1,352,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,36,14,14,bf16]>
tensor<[1,36,14,14,bf16]>
tensor<[1,36,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,36,28,28,bf16]>
tensor<[1,36,28,28,bf16]>
tensor<[1,36,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,36,56,56,bf16]>
tensor<[1,36,56,56,bf16]>
tensor<[1,36,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,3712,14,14,bf16]>
tensor<[1,3712,14,14,bf16]>
tensor<[1,3712,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,3712,7,7,bf16]>
tensor<[1,3712,7,7,bf16]>
tensor<[1,3712,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,384,14,14,bf16]>
tensor<[1,384,14,14,bf16]>
tensor<[1,384,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,384,17,17,bf16]>
tensor<[1,384,17,17,bf16]>
tensor<[1,384,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,384,28,28,bf16]>
tensor<[1,384,28,28,bf16]>
tensor<[1,384,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,384,7,7,bf16]>
tensor<[1,384,7,7,bf16]>
tensor<[1,384,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,384,8,8,bf16]>
tensor<[1,384,8,8,bf16]>
tensor<[1,384,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,4096,bf16]>
tensor<[1,4096,bf16]>
tensor<[1,4096,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,416,14,14,bf16]>
tensor<[1,416,14,14,bf16]>
tensor<[1,416,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,416,28,28,bf16]>
tensor<[1,416,28,28,bf16]>
tensor<[1,416,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,448,14,14,bf16]>
tensor<[1,448,14,14,bf16]>
tensor<[1,448,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,448,28,28,bf16]>
tensor<[1,448,28,28,bf16]>
tensor<[1,448,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,448,8,8,bf16]>
tensor<[1,448,8,8,bf16]>
tensor<[1,448,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,480,28,28,bf16]>
tensor<[1,480,28,28,bf16]>
tensor<[1,480,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,480,7,7,bf16]>
tensor<[1,480,7,7,bf16]>
tensor<[1,480,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,48,14,14,bf16]>
tensor<[1,48,14,14,bf16]>
tensor<[1,48,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,48,7,7,bf16]>
tensor<[1,48,7,7,bf16]>
tensor<[1,48,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,4,14,14,bf16]>
tensor<[1,4,14,14,bf16]>
tensor<[1,4,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,23,40,bf16]>
tensor<[1,512,23,40,bf16]>
tensor<[1,512,23,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,28,28,bf16]>
tensor<[1,512,28,28,bf16]>
tensor<[1,512,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,45,80,bf16]>
tensor<[1,512,45,80,bf16]>
tensor<[1,512,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,56,56,bf16]>
tensor<[1,512,56,56,bf16]>
tensor<[1,512,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,7,7,bf16]>
tensor<[1,512,7,7,bf16]>
tensor<[1,512,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,8,8,bf16]>
tensor<[1,512,8,8,bf16]>
tensor<[1,512,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,512,90,160,bf16]>
tensor<[1,512,90,160,bf16]>
tensor<[1,512,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,544,14,14,bf16]>
tensor<[1,544,14,14,bf16]>
tensor<[1,544,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,576,14,14,bf16]>
tensor<[1,576,14,14,bf16]>
tensor<[1,576,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,58,1,1,bf16]>
tensor<[1,58,1,1,bf16]>
tensor<[1,58,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,608,14,14,bf16]>
tensor<[1,608,14,14,bf16]>
tensor<[1,608,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,608,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,60,28,28,bf16]>
tensor<[1,60,28,28,bf16]>
tensor<[1,60,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,60,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,bf16]>
tensor<[1,64,bf16]>
tensor<[1,64,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,640,14,14,bf16]>
tensor<[1,640,14,14,bf16]>
tensor<[1,640,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,112,112,bf16]>
tensor<[1,64,112,112,bf16]>
tensor<[1,64,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,120,160,bf16]>
tensor<[1,64,120,160,bf16]>
tensor<[1,64,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,147,147,bf16]>
tensor<[1,64,147,147,bf16]>
tensor<[1,64,147,147,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
tensor<[1,64,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,150,150,bf16]>
tensor<[1,64,150,150,bf16]>
tensor<[1,64,150,150,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,160,160,f32]>
tensor<[1,64,160,160,f32]>
tensor<[1,64,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,64,180,320,bf16]>
tensor<[1,64,180,320,bf16]>
tensor<[1,64,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,224,224,bf16]>
tensor<[1,64,224,224,bf16]>
tensor<[1,64,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,24,24,bf16]>
tensor<[1,64,24,24,bf16]>
tensor<[1,64,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,28,28,bf16]>
tensor<[1,64,28,28,bf16]>
tensor<[1,64,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,30,40,bf16]>
tensor<[1,64,30,40,bf16]>
tensor<[1,64,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,35,35,bf16]>
tensor<[1,64,35,35,bf16]>
tensor<[1,64,35,35,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,360,640,bf16]>
tensor<[1,64,360,640,bf16]>
tensor<[1,64,360,640,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,480,640,bf16]>
tensor<[1,64,480,640,bf16]>
tensor<[1,64,480,640,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,60,80,bf16]>
tensor<[1,64,60,80,bf16]>
tensor<[1,64,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,73,73,bf16]>
tensor<[1,64,73,73,bf16]>
tensor<[1,64,73,73,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,64,80,80,f32]>
tensor<[1,64,80,80,f32]>
tensor<[1,64,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,672,28,28,bf16]>
tensor<[1,672,28,28,bf16]>
tensor<[1,672,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,672,56,56,bf16]>
tensor<[1,672,56,56,bf16]>
tensor<[1,672,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,696,28,28,bf16]>
tensor<[1,696,28,28,bf16]>
tensor<[1,696,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,696,56,56,bf16]>
tensor<[1,696,56,56,bf16]>
tensor<[1,696,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,704,14,14,bf16]>
tensor<[1,704,14,14,bf16]>
tensor<[1,704,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,704,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,728,19,19,bf16]>
tensor<[1,728,19,19,bf16]>
tensor<[1,728,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,728,38,38,bf16]>
tensor<[1,728,38,38,bf16]>
tensor<[1,728,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,72,14,14,bf16]>
tensor<[1,72,14,14,bf16]>
tensor<[1,72,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,72,28,28,bf16]>
tensor<[1,72,28,28,bf16]>
tensor<[1,72,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,72,40,40,f32]>
tensor<[1,72,40,40,f32]>
tensor<[1,72,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,72,56,56,bf16]>
tensor<[1,72,56,56,bf16]>
tensor<[1,72,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,72,80,80,f32]>
tensor<[1,72,80,80,f32]>
tensor<[1,72,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[1,736,14,14,bf16]>
tensor<[1,736,14,14,bf16]>
tensor<[1,736,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,736,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,768,14,14,bf16]>
tensor<[1,768,14,14,bf16]>
tensor<[1,768,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,800,14,14,bf16]>
tensor<[1,800,14,14,bf16]>
tensor<[1,800,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,800,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,832,14,14,bf16]>
tensor<[1,832,14,14,bf16]>
tensor<[1,832,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,864,14,14,bf16]>
tensor<[1,864,14,14,bf16]>
tensor<[1,864,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,864,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,896,14,14,bf16]>
tensor<[1,896,14,14,bf16]>
tensor<[1,896,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,896,7,7,bf16]>
tensor<[1,896,7,7,bf16]>
tensor<[1,896,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,8,112,112,bf16]>
tensor<[1,8,112,112,bf16]>
tensor<[1,8,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,8,1,1,bf16]>
tensor<[1,8,1,1,bf16]>
tensor<[1,8,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,928,14,14,bf16]>
tensor<[1,928,14,14,bf16]>
tensor<[1,928,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,928,7,7,bf16]>
tensor<[1,928,7,7,bf16]>
tensor<[1,928,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,92,14,14,bf16]>
tensor<[1,92,14,14,bf16]>
tensor<[1,92,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,92,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,960,14,14,bf16]>
tensor<[1,960,14,14,bf16]>
tensor<[1,960,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,14,14,bf16]>
tensor<[1,96,14,14,bf16]>
tensor<[1,96,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,28,28,bf16]>
tensor<[1,96,28,28,bf16]>
tensor<[1,96,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,35,35,bf16]>
tensor<[1,96,35,35,bf16]>
tensor<[1,96,35,35,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,56,56,bf16]>
tensor<[1,96,56,56,bf16]>
tensor<[1,96,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,71,71,bf16]>
tensor<[1,96,71,71,bf16]>
tensor<[1,96,71,71,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,71,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,96,73,73,bf16]>
tensor<[1,96,73,73,bf16]>
tensor<[1,96,73,73,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,992,14,14,bf16]>
tensor<[1,992,14,14,bf16]>
tensor<[1,992,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,992,7,7,bf16]>
tensor<[1,992,7,7,bf16]>
tensor<[1,992,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[2,13,3072,f32]>
tensor<[2,13,3072,f32]>
tensor<[2,13,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.maximumtensor<[6,1,100,256,bf16]>
tensor<[6,1,100,256,bf16]>
tensor<[6,1,100,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,1,100,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[6,4096,bf16]>
tensor<[6,4096,bf16]>
tensor<[6,4096,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[920,1,2048,bf16]>
tensor<[920,1,2048,bf16]>
tensor<[920,1,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan

ttnn.minimum

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.minimumtensor<[3234,2,f32]>
tensor<[1,f32]>
tensor<[3234,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
tensor<[1,120,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
tensor<[1,256,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
tensor<[1,480,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
tensor<[1,512,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
tensor<[1,672,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
tensor<[1,72,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
tensor<[1,768,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
tensor<[1,960,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,1152,7,7,bf16]>
tensor<[1,1152,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,1152,8,8,bf16]>
tensor<[1,1152,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,116,14,14,bf16]>
tensor<[1,116,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,116,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,1248,9,9,bf16]>
tensor<[1,1248,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,1280,10,10,bf16]>
tensor<[1,1280,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,1280,12,12,bf16]>
tensor<[1,1280,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,1280,7,7,bf16]>
tensor<[1,1280,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,1280,9,9,bf16]>
tensor<[1,1280,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,128,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,128,2,2,f32]>
tensor<[1,128,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,128,3,3,f32]>
tensor<[1,128,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,128,56,56,bf16]>
tensor<[1,128,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,128,5,5,f32]>
tensor<[1,128,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,134,28,28,bf16]>
tensor<[1,134,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,134,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,1392,10,10,bf16]>
tensor<[1,1392,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,144,150,150,bf16]>
tensor<[1,144,150,150,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,144,190,190,bf16]>
tensor<[1,144,190,190,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,144,28,28,bf16]>
tensor<[1,144,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,144,30,30,bf16]>
tensor<[1,144,30,30,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,144,33,33,bf16]>
tensor<[1,144,33,33,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,144,56,56,bf16]>
tensor<[1,144,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,144,60,60,bf16]>
tensor<[1,144,60,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,144,65,65,bf16]>
tensor<[1,144,65,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,144,75,75,bf16]>
tensor<[1,144,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,144,95,95,bf16]>
tensor<[1,144,95,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,14,56,56,bf16]>
tensor<[1,14,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,160,7,7,bf16]>
tensor<[1,160,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,1632,12,12,bf16]>
tensor<[1,1632,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,168,28,28,bf16]>
tensor<[1,168,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,168,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,192,14,14,bf16]>
tensor<[1,192,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,192,28,28,bf16]>
tensor<[1,192,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,192,38,38,bf16]>
tensor<[1,192,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,192,48,48,bf16]>
tensor<[1,192,48,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,192,75,75,bf16]>
tensor<[1,192,75,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,192,95,95,bf16]>
tensor<[1,192,95,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,196,14,14,bf16]>
tensor<[1,196,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,20,28,28,bf16]>
tensor<[1,20,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,240,15,15,bf16]>
tensor<[1,240,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,240,30,30,bf16]>
tensor<[1,240,30,30,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,24,56,56,bf16]>
tensor<[1,24,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,256,10,10,f32]>
tensor<[1,256,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,256,14,14,bf16]>
tensor<[1,256,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,256,28,28,bf16]>
tensor<[1,256,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,256,2,2,f32]>
tensor<[1,256,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,256,3,3,f32]>
tensor<[1,256,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,256,5,5,f32]>
tensor<[1,256,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,272,7,7,bf16]>
tensor<[1,272,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,288,17,17,bf16]>
tensor<[1,288,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,288,19,19,bf16]>
tensor<[1,288,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,288,33,33,bf16]>
tensor<[1,288,33,33,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,288,38,38,bf16]>
tensor<[1,288,38,38,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,28,28,28,bf16]>
tensor<[1,28,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,320,28,28,bf16]>
tensor<[1,320,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,32,112,112,bf16]>
tensor<[1,32,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,32,120,120,bf16]>
tensor<[1,32,120,120,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,32,130,130,bf16]>
tensor<[1,32,130,130,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,32,150,150,bf16]>
tensor<[1,32,150,150,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,32,190,190,bf16]>
tensor<[1,32,190,190,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,334,14,14,bf16]>
tensor<[1,334,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,334,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,336,24,24,bf16]>
tensor<[1,336,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,336,48,48,bf16]>
tensor<[1,336,48,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,34,28,28,bf16]>
tensor<[1,34,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,384,14,14,bf16]>
tensor<[1,384,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,40,14,14,bf16]>
tensor<[1,40,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,40,56,56,bf16]>
tensor<[1,40,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,462,7,7,bf16]>
tensor<[1,462,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,462,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,46,28,28,bf16]>
tensor<[1,46,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,480,15,15,bf16]>
tensor<[1,480,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,512,14,14,bf16]>
tensor<[1,512,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,512,5,5,f32]>
tensor<[1,512,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,512,7,7,bf16]>
tensor<[1,512,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,528,17,17,bf16]>
tensor<[1,528,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,576,14,14,bf16]>
tensor<[1,576,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,576,19,19,bf16]>
tensor<[1,576,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,576,7,7,bf16]>
tensor<[1,576,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,58,28,28,bf16]>
tensor<[1,58,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,640,14,14,bf16]>
tensor<[1,640,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,64,112,112,bf16]>
tensor<[1,64,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,64,2,2,f32]>
tensor<[1,64,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,64,56,56,bf16]>
tensor<[1,64,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,672,15,15,bf16]>
tensor<[1,672,15,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,672,24,24,bf16]>
tensor<[1,672,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,672,8,8,bf16]>
tensor<[1,672,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,68,14,14,bf16]>
tensor<[1,68,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,68,56,56,bf16]>
tensor<[1,68,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,720,17,17,bf16]>
tensor<[1,720,17,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,720,9,9,bf16]>
tensor<[1,720,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,78,28,28,bf16]>
tensor<[1,78,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,816,10,10,bf16]>
tensor<[1,816,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,816,19,19,bf16]>
tensor<[1,816,19,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,960,12,12,bf16]>
tensor<[1,960,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,960,24,24,bf16]>
tensor<[1,960,24,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,96,112,112,bf16]>
tensor<[1,96,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,96,120,120,bf16]>
tensor<[1,96,120,120,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,96,130,130,bf16]>
tensor<[1,96,130,130,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,96,56,56,bf16]>
tensor<[1,96,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,96,60,60,bf16]>
tensor<[1,96,60,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,96,65,65,bf16]>
tensor<[1,96,65,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,98,28,28,bf16]>
tensor<[1,98,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,128,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,256,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,32,512,512,bf16]>
tensor<[1,32,512,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,512,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.minimumtensor<[1,1,1,1,bf16]>
tensor<[1,64,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan

ttnn.moreh_cumsum

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.moreh_cumsumtensor<[1,512,7,7,f32]>
tensor<[1,512,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
dim: 0 : i64tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,1,1,1,f32]>
tensor<[1,1,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 0 : i64tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,10,1,1,f32]>
tensor<[1,10,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,10,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,10,1,1,f32]>
tensor<[1,10,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,10,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,11,1,1,f32]>
tensor<[1,11,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,11,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,12,1,1,f32]>
tensor<[1,12,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,13,1,1,f32]>
tensor<[1,13,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,13,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,14,1,1,f32]>
tensor<[1,14,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,14,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,15,1,1,f32]>
tensor<[1,15,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,15,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,16,1,1,f32]>
tensor<[1,16,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,17,1,1,f32]>
tensor<[1,17,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,17,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,18,1,1,f32]>
tensor<[1,18,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,19,1,1,f32]>
tensor<[1,19,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,19,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,20,1,1,f32]>
tensor<[1,20,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,20,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,21,1,1,f32]>
tensor<[1,21,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,21,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,22,1,1,f32]>
tensor<[1,22,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,22,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,23,1,1,f32]>
tensor<[1,23,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,23,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,24,1,1,f32]>
tensor<[1,24,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,25,1,1,f32]>
tensor<[1,25,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,25,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,26,1,1,f32]>
tensor<[1,26,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,26,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,27,1,1,f32]>
tensor<[1,27,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,27,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,28,1,1,f32]>
tensor<[1,28,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,28,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,29,1,1,f32]>
tensor<[1,29,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 29 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 29 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,29,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 29 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,5,1,1,f32]>
tensor<[1,5,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,5,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,6,1,1,f32]>
tensor<[1,6,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,7,1,1,f32]>
tensor<[1,7,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,7,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,8,1,1,f32]>
tensor<[1,8,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[1,9,1,1,f32]>
tensor<[1,9,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 1 : i64tensor<[1,9,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[45,1,1,1,f32]>
tensor<[45,1,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
dim: 0 : i64tensor<[45,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.moreh_cumsumtensor<[5,1,1,1,f32]>
tensor<[5,1,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
dim: 0 : i64tensor<[5,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan

ttnn.multiply

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.multiplytensor<[11,ui32]>
tensor<[11,ui32]>
tensor<[11,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[12,ui32]>
tensor<[12,ui32]>
tensor<[12,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[13,ui32]>
tensor<[13,ui32]>
tensor<[13,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[14,ui32]>
tensor<[14,ui32]>
tensor<[14,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[15,ui32]>
tensor<[15,ui32]>
tensor<[15,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[16,ui32]>
tensor<[16,ui32]>
tensor<[16,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[17,ui32]>
tensor<[17,ui32]>
tensor<[17,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[18,ui32]>
tensor<[18,ui32]>
tensor<[18,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[19,ui32]>
tensor<[19,ui32]>
tensor<[19,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[20,ui32]>
tensor<[20,ui32]>
tensor<[20,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[21,ui32]>
tensor<[21,ui32]>
tensor<[21,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[22,ui32]>
tensor<[22,ui32]>
tensor<[22,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[23,ui32]>
tensor<[23,ui32]>
tensor<[23,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[24,ui32]>
tensor<[24,ui32]>
tensor<[24,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[25,ui32]>
tensor<[25,ui32]>
tensor<[25,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[26,ui32]>
tensor<[26,ui32]>
tensor<[26,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[27,ui32]>
tensor<[27,ui32]>
tensor<[27,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[28,ui32]>
tensor<[28,ui32]>
tensor<[28,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[29,ui32]>
tensor<[29,ui32]>
tensor<[29,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[32,ui32]>
tensor<[32,ui32]>
tensor<[32,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[5,ui32]>
tensor<[5,ui32]>
tensor<[5,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[6,ui32]>
tensor<[6,ui32]>
tensor<[6,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[7,ui32]>
tensor<[7,ui32]>
tensor<[7,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[8,ui32]>
tensor<[8,ui32]>
tensor<[8,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[9,ui32]>
tensor<[9,ui32]>
tensor<[9,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[32,ui32]>
tensor<[32,ui32]>
tensor<[32,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[8,100,920,bf16]>
tensor<[8,100,920,bf16]>
tensor<[8,100,920,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[8,920,920,bf16]>
tensor<[8,920,920,bf16]>
tensor<[8,920,920,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,920,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,512,bf16]>
tensor<[1,1024,512,bf16]>
tensor<[1,1024,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1024,512,f32]>
tensor<[1,1024,512,f32]>
tensor<[1,1024,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,6144,f32]>
tensor<[1,1024,6144,f32]>
tensor<[1,1024,6144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,640,bf16]>
tensor<[1,1024,640,bf16]>
tensor<[1,1024,640,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,10,3072,bf16]>
tensor<[1,10,3072,bf16]>
tensor<[1,10,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,10,3072,f32]>
tensor<[1,10,3072,f32]>
tensor<[1,10,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,10,768,bf16]>
tensor<[1,10,768,bf16]>
tensor<[1,10,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1200,1280,bf16]>
tensor<[1,1200,1280,bf16]>
tensor<[1,1200,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1200,1280,f32]>
tensor<[1,1200,1280,f32]>
tensor<[1,1200,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1370,5120,bf16]>
tensor<[1,1370,5120,bf16]>
tensor<[1,1370,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1370,5120,f32]>
tensor<[1,1370,5120,f32]>
tensor<[1,1370,5120,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1445,768,bf16]>
tensor<[1,1445,768,bf16]>
tensor<[1,1445,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1445,768,f32]>
tensor<[1,1445,768,f32]>
tensor<[1,1445,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,14,2048,bf16]>
tensor<[1,14,14,2048,bf16]>
tensor<[1,14,14,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,14,14,2048,f32]>
tensor<[1,14,14,2048,f32]>
tensor<[1,14,14,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1500,3072,bf16]>
tensor<[1,1500,3072,bf16]>
tensor<[1,1500,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1500,3072,f32]>
tensor<[1,1500,3072,f32]>
tensor<[1,1500,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1536,bf16]>
tensor<[1,1536,bf16]>
tensor<[1,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,128,bf16]>
tensor<[1,16384,128,bf16]>
tensor<[1,16384,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,16384,128,f32]>
tensor<[1,16384,128,f32]>
tensor<[1,16384,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,1536,f32]>
tensor<[1,16384,1536,f32]>
tensor<[1,16384,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,3072,bf16]>
tensor<[1,16,3072,bf16]>
tensor<[1,16,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,16,3072,f32]>
tensor<[1,16,3072,f32]>
tensor<[1,16,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,19200,256,bf16]>
tensor<[1,19200,256,bf16]>
tensor<[1,19200,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,19200,256,f32]>
tensor<[1,19200,256,f32]>
tensor<[1,19200,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,196,3072,bf16]>
tensor<[1,196,3072,bf16]>
tensor<[1,196,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,196,3072,f32]>
tensor<[1,196,3072,f32]>
tensor<[1,196,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,197,3072,bf16]>
tensor<[1,197,3072,bf16]>
tensor<[1,197,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,197,3072,f32]>
tensor<[1,197,3072,f32]>
tensor<[1,197,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,197,4096,bf16]>
tensor<[1,197,4096,bf16]>
tensor<[1,197,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,197,4096,f32]>
tensor<[1,197,4096,f32]>
tensor<[1,197,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,201,3072,bf16]>
tensor<[1,201,3072,bf16]>
tensor<[1,201,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,201,3072,f32]>
tensor<[1,201,3072,f32]>
tensor<[1,201,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2048,768,bf16]>
tensor<[1,2048,768,bf16]>
tensor<[1,2048,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1024,bf16]>
tensor<[1,256,1024,bf16]>
tensor<[1,256,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1280,bf16]>
tensor<[1,256,1280,bf16]>
tensor<[1,256,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,256,bf16]>
tensor<[1,256,256,bf16]>
tensor<[1,256,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,4096,bf16]>
tensor<[1,256,4096,bf16]>
tensor<[1,256,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,4096,f32]>
tensor<[1,256,4096,f32]>
tensor<[1,256,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,5120,bf16]>
tensor<[1,256,5120,bf16]>
tensor<[1,256,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,5120,f32]>
tensor<[1,256,5120,f32]>
tensor<[1,256,5120,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,6144,f32]>
tensor<[1,256,6144,f32]>
tensor<[1,256,6144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,257,3072,bf16]>
tensor<[1,257,3072,bf16]>
tensor<[1,257,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,257,3072,f32]>
tensor<[1,257,3072,f32]>
tensor<[1,257,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,25,3072,bf16]>
tensor<[1,25,3072,bf16]>
tensor<[1,25,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,25,3072,f32]>
tensor<[1,25,3072,f32]>
tensor<[1,25,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,28,28,1024,bf16]>
tensor<[1,28,28,1024,bf16]>
tensor<[1,28,28,1024,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,28,28,1024,f32]>
tensor<[1,28,28,1024,f32]>
tensor<[1,28,28,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,2048,bf16]>
tensor<[1,300,2048,bf16]>
tensor<[1,300,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,300,2048,f32]>
tensor<[1,300,2048,f32]>
tensor<[1,300,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,8,f32]>
tensor<[1,3072,8,f32]>
tensor<[1,3072,8,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,1280,bf16]>
tensor<[1,4096,1280,bf16]>
tensor<[1,4096,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,4096,1280,f32]>
tensor<[1,4096,1280,f32]>
tensor<[1,4096,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,256,bf16]>
tensor<[1,4096,256,bf16]>
tensor<[1,4096,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,4096,256,f32]>
tensor<[1,4096,256,f32]>
tensor<[1,4096,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,3072,f32]>
tensor<[1,4096,3072,f32]>
tensor<[1,4096,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4800,512,bf16]>
tensor<[1,4800,512,bf16]>
tensor<[1,4800,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,4800,512,f32]>
tensor<[1,4800,512,f32]>
tensor<[1,4800,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,56,56,512,bf16]>
tensor<[1,56,56,512,bf16]>
tensor<[1,56,56,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,56,56,512,f32]>
tensor<[1,56,56,512,f32]>
tensor<[1,56,56,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,5120,bf16]>
tensor<[1,64,5120,bf16]>
tensor<[1,64,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,5120,f32]>
tensor<[1,64,5120,f32]>
tensor<[1,64,5120,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,65536,768,f32]>
tensor<[1,65536,768,f32]>
tensor<[1,65536,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,768,1500,bf16]>
tensor<[1,768,1500,bf16]>
tensor<[1,768,1500,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,768,1500,f32]>
tensor<[1,768,1500,f32]>
tensor<[1,768,1500,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,768,3000,bf16]>
tensor<[1,768,3000,bf16]>
tensor<[1,768,3000,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,768,3000,f32]>
tensor<[1,768,3000,f32]>
tensor<[1,768,3000,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,768,384,bf16]>
tensor<[1,768,384,bf16]>
tensor<[1,768,384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,768,384,f32]>
tensor<[1,768,384,f32]>
tensor<[1,768,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,18176,bf16]>
tensor<[1,7,18176,bf16]>
tensor<[1,7,18176,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,7,18176,f32]>
tensor<[1,7,18176,f32]>
tensor<[1,7,18176,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,7,4096,bf16]>
tensor<[1,7,7,4096,bf16]>
tensor<[1,7,7,4096,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,7,7,4096,f32]>
tensor<[1,7,7,4096,f32]>
tensor<[1,7,7,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4,1,4096,f32]>
tensor<[4,1,4096,f32]>
tensor<[4,1,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
tensor<[1,16,112,112,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,128,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
tensor<[1,128,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
tensor<[1,256,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,512,512,bf16]>
tensor<[1,32,512,512,bf16]>
tensor<[1,32,512,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,512,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
tensor<[1,512,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
tensor<[1,64,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,12,f32]>
tensor<[1,12,128,12,f32]>
tensor<[1,12,128,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,13,f32]>
tensor<[1,12,128,13,f32]>
tensor<[1,12,128,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,14,f32]>
tensor<[1,12,128,14,f32]>
tensor<[1,12,128,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,15,f32]>
tensor<[1,12,128,15,f32]>
tensor<[1,12,128,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,16,f32]>
tensor<[1,12,128,16,f32]>
tensor<[1,12,128,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,17,f32]>
tensor<[1,12,128,17,f32]>
tensor<[1,12,128,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,18,f32]>
tensor<[1,12,128,18,f32]>
tensor<[1,12,128,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,19,f32]>
tensor<[1,12,128,19,f32]>
tensor<[1,12,128,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,20,f32]>
tensor<[1,12,128,20,f32]>
tensor<[1,12,128,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,21,f32]>
tensor<[1,12,128,21,f32]>
tensor<[1,12,128,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,22,f32]>
tensor<[1,12,128,22,f32]>
tensor<[1,12,128,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,23,f32]>
tensor<[1,12,128,23,f32]>
tensor<[1,12,128,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,24,f32]>
tensor<[1,12,128,24,f32]>
tensor<[1,12,128,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,25,f32]>
tensor<[1,12,128,25,f32]>
tensor<[1,12,128,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,26,f32]>
tensor<[1,12,128,26,f32]>
tensor<[1,12,128,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,27,f32]>
tensor<[1,12,128,27,f32]>
tensor<[1,12,128,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,28,f32]>
tensor<[1,12,128,28,f32]>
tensor<[1,12,128,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,29,f32]>
tensor<[1,12,128,29,f32]>
tensor<[1,12,128,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,12,128,f32]>
tensor<[1,12,12,128,f32]>
tensor<[1,12,12,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,12,64,f32]>
tensor<[1,12,12,64,f32]>
tensor<[1,12,12,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,14,64,f32]>
tensor<[1,12,14,64,f32]>
tensor<[1,12,14,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,1500,64,f32]>
tensor<[1,12,1500,64,f32]>
tensor<[1,12,1500,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1500,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,16,64,f32]>
tensor<[1,12,16,64,f32]>
tensor<[1,12,16,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,197,64,f32]>
tensor<[1,12,197,64,f32]>
tensor<[1,12,197,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,1,128,f32]>
tensor<[1,12,1,128,f32]>
tensor<[1,12,1,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,25,64,f32]>
tensor<[1,12,25,64,f32]>
tensor<[1,12,25,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,50,64,f32]>
tensor<[1,12,50,64,f32]>
tensor<[1,12,50,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,50,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,64,10,f32]>
tensor<[1,12,64,10,f32]>
tensor<[1,12,64,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,64,12,f32]>
tensor<[1,12,64,12,f32]>
tensor<[1,12,64,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,64,14,f32]>
tensor<[1,12,64,14,f32]>
tensor<[1,12,64,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,64,1500,f32]>
tensor<[1,12,64,1500,f32]>
tensor<[1,12,64,1500,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,64,16,f32]>
tensor<[1,12,64,16,f32]>
tensor<[1,12,64,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,64,197,f32]>
tensor<[1,12,64,197,f32]>
tensor<[1,12,64,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,64,25,f32]>
tensor<[1,12,64,25,f32]>
tensor<[1,12,64,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,64,50,f32]>
tensor<[1,12,64,50,f32]>
tensor<[1,12,64,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,64,7,f32]>
tensor<[1,12,64,7,f32]>
tensor<[1,12,64,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,64,9,f32]>
tensor<[1,12,64,9,f32]>
tensor<[1,12,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,7,64,f32]>
tensor<[1,12,7,64,f32]>
tensor<[1,12,7,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,9,64,f32]>
tensor<[1,12,9,64,f32]>
tensor<[1,12,9,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,128,9,f32]>
tensor<[1,16,128,9,f32]>
tensor<[1,16,128,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,128,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,1370,80,f32]>
tensor<[1,16,1370,80,f32]>
tensor<[1,16,1370,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1370,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,1,64,f32]>
tensor<[1,16,1,64,f32]>
tensor<[1,16,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,256,64,f32]>
tensor<[1,16,256,64,f32]>
tensor<[1,16,256,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,256,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,10,f32]>
tensor<[1,16,64,10,f32]>
tensor<[1,16,64,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,11,f32]>
tensor<[1,16,64,11,f32]>
tensor<[1,16,64,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,12,f32]>
tensor<[1,16,64,12,f32]>
tensor<[1,16,64,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,13,f32]>
tensor<[1,16,64,13,f32]>
tensor<[1,16,64,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,14,f32]>
tensor<[1,16,64,14,f32]>
tensor<[1,16,64,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,15,f32]>
tensor<[1,16,64,15,f32]>
tensor<[1,16,64,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,16,f32]>
tensor<[1,16,64,16,f32]>
tensor<[1,16,64,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,17,f32]>
tensor<[1,16,64,17,f32]>
tensor<[1,16,64,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,18,f32]>
tensor<[1,16,64,18,f32]>
tensor<[1,16,64,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,19,f32]>
tensor<[1,16,64,19,f32]>
tensor<[1,16,64,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,20,f32]>
tensor<[1,16,64,20,f32]>
tensor<[1,16,64,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,21,f32]>
tensor<[1,16,64,21,f32]>
tensor<[1,16,64,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,22,f32]>
tensor<[1,16,64,22,f32]>
tensor<[1,16,64,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,23,f32]>
tensor<[1,16,64,23,f32]>
tensor<[1,16,64,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,24,f32]>
tensor<[1,16,64,24,f32]>
tensor<[1,16,64,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,256,f32]>
tensor<[1,16,64,256,f32]>
tensor<[1,16,64,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,25,f32]>
tensor<[1,16,64,25,f32]>
tensor<[1,16,64,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,26,f32]>
tensor<[1,16,64,26,f32]>
tensor<[1,16,64,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,27,f32]>
tensor<[1,16,64,27,f32]>
tensor<[1,16,64,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,28,f32]>
tensor<[1,16,64,28,f32]>
tensor<[1,16,64,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,29,f32]>
tensor<[1,16,64,29,f32]>
tensor<[1,16,64,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,6,f32]>
tensor<[1,16,64,6,f32]>
tensor<[1,16,64,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,7,f32]>
tensor<[1,16,64,7,f32]>
tensor<[1,16,64,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,8,f32]>
tensor<[1,16,64,8,f32]>
tensor<[1,16,64,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,9,f32]>
tensor<[1,16,64,9,f32]>
tensor<[1,16,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,64,9,f32]>
tensor<[1,16,64,9,f32]>
tensor<[1,16,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,6,64,f32]>
tensor<[1,16,6,64,f32]>
tensor<[1,16,6,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,6,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,80,1370,f32]>
tensor<[1,16,80,1370,f32]>
tensor<[1,16,80,1370,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,80,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,9,128,f32]>
tensor<[1,16,9,128,f32]>
tensor<[1,16,9,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,9,64,f32]>
tensor<[1,16,9,64,f32]>
tensor<[1,16,9,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,64,7,f32]>
tensor<[1,1,64,7,f32]>
tensor<[1,1,64,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,128,32,f32]>
tensor<[1,24,128,32,f32]>
tensor<[1,24,128,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,32,128,f32]>
tensor<[1,24,32,128,f32]>
tensor<[1,24,32,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,28,128,13,f32]>
tensor<[1,28,128,13,f32]>
tensor<[1,28,128,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,28,13,128,f32]>
tensor<[1,28,13,128,f32]>
tensor<[1,28,13,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,128,32,f32]>
tensor<[1,32,128,32,f32]>
tensor<[1,32,128,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,32,128,f32]>
tensor<[1,32,32,128,f32]>
tensor<[1,32,32,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3,1445,64,f32]>
tensor<[1,3,1445,64,f32]>
tensor<[1,3,1445,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,1445,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3,64,1445,f32]>
tensor<[1,3,64,1445,f32]>
tensor<[1,3,64,1445,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,64,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,64,9,f32]>
tensor<[1,64,64,9,f32]>
tensor<[1,64,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,9,64,f32]>
tensor<[1,64,9,64,f32]>
tensor<[1,64,9,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,71,7,64,f32]>
tensor<[1,71,7,64,f32]>
tensor<[1,71,7,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,1024,80,f32]>
tensor<[1,8,1024,80,f32]>
tensor<[1,8,1024,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,160,256,f32]>
tensor<[1,8,160,256,f32]>
tensor<[1,8,160,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,160,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,160,64,f32]>
tensor<[1,8,160,64,f32]>
tensor<[1,8,160,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,160,9,f32]>
tensor<[1,8,160,9,f32]>
tensor<[1,8,160,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,160,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,256,160,f32]>
tensor<[1,8,256,160,f32]>
tensor<[1,8,256,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,4096,40,f32]>
tensor<[1,8,4096,40,f32]>
tensor<[1,8,4096,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,40,4096,f32]>
tensor<[1,8,40,4096,f32]>
tensor<[1,8,40,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,40,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,40,9,f32]>
tensor<[1,8,40,9,f32]>
tensor<[1,8,40,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,40,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,64,160,f32]>
tensor<[1,8,64,160,f32]>
tensor<[1,8,64,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,80,1024,f32]>
tensor<[1,8,80,1024,f32]>
tensor<[1,8,80,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,80,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,80,9,f32]>
tensor<[1,8,80,9,f32]>
tensor<[1,8,80,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,80,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2,8,64,7,f32]>
tensor<[2,8,64,7,f32]>
tensor<[2,8,64,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,8,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2,8,7,64,f32]>
tensor<[2,8,7,64,f32]>
tensor<[2,8,7,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,8,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4,16,1,64,f32]>
tensor<[4,16,1,64,f32]>
tensor<[4,16,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4,16,64,1,f32]>
tensor<[4,16,64,1,f32]>
tensor<[4,16,64,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,64,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[100,1,256,f32]>
tensor<[100,1,256,f32]>
tensor<[100,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[100,1,256,f32]>
tensor<[100,1,256,f32]>
tensor<[100,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[100,2048,f32]>
tensor<[100,2048,f32]>
tensor<[100,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[100,256,f32]>
tensor<[100,256,f32]>
tensor<[100,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[100,4,f32]>
tensor<[100,4,f32]>
tensor<[100,4,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[100,92,f32]>
tensor<[100,92,f32]>
tensor<[100,92,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[100,92,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1024,f32]>
tensor<[1024,f32]>
tensor<[1024,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,bf16]>
tensor<[1,10,1024,bf16]>
tensor<[1,10,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,bf16]>
tensor<[1,197,1024,bf16]>
tensor<[1,197,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1024,1536,f32]>
tensor<[1024,1536,f32]>
tensor<[1024,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1024,160,f32]>
tensor<[1024,160,f32]>
tensor<[1024,160,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1024,3072,f32]>
tensor<[1024,3072,f32]>
tensor<[1024,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1024,5120,f32]>
tensor<[1024,5120,f32]>
tensor<[1024,5120,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1024,6144,f32]>
tensor<[1024,6144,f32]>
tensor<[1024,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1024,640,f32]>
tensor<[1024,640,f32]>
tensor<[1024,640,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1024,768,f32]>
tensor<[1024,768,f32]>
tensor<[1024,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[10,250002,f32]>
tensor<[10,250002,f32]>
tensor<[10,250002,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[10,250002,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[10,3072,f32]>
tensor<[10,3072,f32]>
tensor<[10,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[10,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[10,768,f32]>
tensor<[10,768,f32]>
tensor<[10,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1200,1280,f32]>
tensor<[1200,1280,f32]>
tensor<[1200,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1200,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1200,320,f32]>
tensor<[1200,320,f32]>
tensor<[1200,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1200,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[121,12,144,32,f32]>
tensor<[121,12,144,32,f32]>
tensor<[121,12,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[121,6,144,32,f32]>
tensor<[121,6,144,32,f32]>
tensor<[121,6,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1296,1536,f32]>
tensor<[1296,1536,f32]>
tensor<[1296,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1296,2304,f32]>
tensor<[1296,2304,f32]>
tensor<[1296,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1296,4608,f32]>
tensor<[1296,4608,f32]>
tensor<[1296,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1296,768,f32]>
tensor<[1296,768,f32]>
tensor<[1296,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1296,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[12,12,bf16]>
tensor<[12,12,bf16]>
tensor<[12,12,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[12,1536,f32]>
tensor<[12,1536,f32]>
tensor<[12,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[12,256,f32]>
tensor<[12,256,f32]>
tensor<[12,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[12,2,f32]>
tensor<[12,2,f32]>
tensor<[12,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[12,3072,f32]>
tensor<[12,3072,f32]>
tensor<[12,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[12,768,f32]>
tensor<[12,768,f32]>
tensor<[12,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1370,1280,f32]>
tensor<[1370,1280,f32]>
tensor<[1370,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1370,3840,f32]>
tensor<[1370,3840,f32]>
tensor<[1370,3840,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1370,3840,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1370,5120,f32]>
tensor<[1370,5120,f32]>
tensor<[1370,5120,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1370,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[13,13,bf16]>
tensor<[13,13,bf16]>
tensor<[13,13,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[13,2,f32]>
tensor<[13,2,f32]>
tensor<[13,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[13,3584,f32]>
tensor<[13,3584,f32]>
tensor<[13,3584,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[13,512,f32]>
tensor<[13,512,f32]>
tensor<[13,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[13,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1445,192,f32]>
tensor<[1445,192,f32]>
tensor<[1445,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1445,768,f32]>
tensor<[1445,768,f32]>
tensor<[1445,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1445,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[14,2048,f32]>
tensor<[14,2048,f32]>
tensor<[14,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[14,2,f32]>
tensor<[14,2,f32]>
tensor<[14,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[14,3072,f32]>
tensor<[14,3072,f32]>
tensor<[14,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[14,512,f32]>
tensor<[14,512,f32]>
tensor<[14,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[14,768,f32]>
tensor<[14,768,f32]>
tensor<[14,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1500,3072,f32]>
tensor<[1500,3072,f32]>
tensor<[1500,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1500,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1500,768,f32]>
tensor<[1500,768,f32]>
tensor<[1500,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1536,f32]>
tensor<[1536,f32]>
tensor<[1536,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,10,1536,bf16]>
tensor<[1,10,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,11,1536,bf16]>
tensor<[1,11,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,12,1536,bf16]>
tensor<[1,12,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,13,1536,bf16]>
tensor<[1,13,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,14,1536,bf16]>
tensor<[1,14,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,15,1536,bf16]>
tensor<[1,15,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,1,1536,bf16]>
tensor<[1,1,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,6,1536,bf16]>
tensor<[1,6,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,7,1536,bf16]>
tensor<[1,7,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,8,1536,bf16]>
tensor<[1,8,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,bf16]>
tensor<[1,9,1536,bf16]>
tensor<[1,9,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[16384,128,f32]>
tensor<[16384,128,f32]>
tensor<[16384,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[16384,1536,f32]>
tensor<[16384,1536,f32]>
tensor<[16384,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[16384,192,f32]>
tensor<[16384,192,f32]>
tensor<[16384,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[16384,32,f32]>
tensor<[16384,32,f32]>
tensor<[16384,32,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[16384,384,f32]>
tensor<[16384,384,f32]>
tensor<[16384,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[16384,768,f32]>
tensor<[16384,768,f32]>
tensor<[16384,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16384,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,1,f32]>
tensor<[1,16,32,f32]>
tensor<[1,16,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[16,3072,f32]>
tensor<[16,3072,f32]>
tensor<[16,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[16,768,f32]>
tensor<[16,768,f32]>
tensor<[16,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[16,8,49,32,bf16]>
tensor<[16,8,49,32,bf16]>
tensor<[16,8,49,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[17424,1152,f32]>
tensor<[17424,1152,f32]>
tensor<[17424,1152,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[17424,192,f32]>
tensor<[17424,192,f32]>
tensor<[17424,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[17424,384,f32]>
tensor<[17424,384,f32]>
tensor<[17424,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[17424,576,f32]>
tensor<[17424,576,f32]>
tensor<[17424,576,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[17424,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[19200,256,f32]>
tensor<[19200,256,f32]>
tensor<[19200,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[19200,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[19200,64,f32]>
tensor<[19200,64,f32]>
tensor<[19200,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[19200,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[196,1536,f32]>
tensor<[196,1536,f32]>
tensor<[196,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[196,3072,f32]>
tensor<[196,3072,f32]>
tensor<[196,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[196,512,f32]>
tensor<[196,512,f32]>
tensor<[196,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[196,768,f32]>
tensor<[196,768,f32]>
tensor<[196,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[196,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[197,1024,f32]>
tensor<[197,1024,f32]>
tensor<[197,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[197,3072,f32]>
tensor<[197,3072,f32]>
tensor<[197,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[197,4096,f32]>
tensor<[197,4096,f32]>
tensor<[197,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[197,768,f32]>
tensor<[197,768,f32]>
tensor<[197,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,ui32]>
tensor<[1,ui32]>
tensor<[1,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[1,1000,f32]>
tensor<[1,1000,f32]>
tensor<[1,1000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,100,14,14,f32]>
tensor<[1,100,14,14,f32]>
tensor<[1,100,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,10,10,f32]>
tensor<[1,1024,10,10,f32]>
tensor<[1,1024,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,14,14,f32]>
tensor<[1,1024,14,14,f32]>
tensor<[1,1024,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,16,16,f32]>
tensor<[1,1024,16,16,f32]>
tensor<[1,1024,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,19,19,f32]>
tensor<[1,1024,19,19,f32]>
tensor<[1,1024,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,2560,bf16]>
tensor<[1,1024,2560,bf16]>
tensor<[1,1024,2560,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 80, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 80, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 80, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1024,28,28,f32]>
tensor<[1,1024,28,28,f32]>
tensor<[1,1024,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,45,80,bf16]>
tensor<[1,1024,45,80,bf16]>
tensor<[1,1024,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,7,7,f32]>
tensor<[1,1024,7,7,f32]>
tensor<[1,1024,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,7,7,bf16]>
tensor<[1,1024,7,7,bf16]>
tensor<[1,1024,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1056,14,14,f32]>
tensor<[1,1056,14,14,f32]>
tensor<[1,1056,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1056,7,7,f32]>
tensor<[1,1056,7,7,f32]>
tensor<[1,1056,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1088,14,14,f32]>
tensor<[1,1088,14,14,f32]>
tensor<[1,1088,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1088,7,7,f32]>
tensor<[1,1088,7,7,f32]>
tensor<[1,1088,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,10,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[1,10,f32]>
tensor<[1,10,f32]>
tensor<[1,10,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,10,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[1,10,1024,f32]>
tensor<[1,10,1024,f32]>
tensor<[1,10,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,10,1536,f32]>
tensor<[1,10,1536,f32]>
tensor<[1,10,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,10,512,f32]>
tensor<[1,10,512,f32]>
tensor<[1,10,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1120,14,14,f32]>
tensor<[1,1120,14,14,f32]>
tensor<[1,1120,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1120,7,7,f32]>
tensor<[1,1120,7,7,f32]>
tensor<[1,1120,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,112,14,14,f32]>
tensor<[1,112,14,14,f32]>
tensor<[1,112,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,112,15,15,f32]>
tensor<[1,112,15,15,f32]>
tensor<[1,112,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,112,20,20,f32]>
tensor<[1,112,20,20,f32]>
tensor<[1,112,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,112,24,24,f32]>
tensor<[1,112,24,24,f32]>
tensor<[1,112,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,112,7,7,f32]>
tensor<[1,112,7,7,f32]>
tensor<[1,112,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1152,14,14,f32]>
tensor<[1,1152,14,14,f32]>
tensor<[1,1152,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1152,7,7,f32]>
tensor<[1,1152,7,7,f32]>
tensor<[1,1152,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1152,8,8,f32]>
tensor<[1,1152,8,8,f32]>
tensor<[1,1152,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,116,14,14,f32]>
tensor<[1,116,14,14,f32]>
tensor<[1,116,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1184,14,14,f32]>
tensor<[1,1184,14,14,f32]>
tensor<[1,1184,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1184,7,7,f32]>
tensor<[1,1184,7,7,f32]>
tensor<[1,1184,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,11,bf16]>
tensor<[1,11,bf16]>
tensor<[1,11,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,11,1536,f32]>
tensor<[1,11,1536,f32]>
tensor<[1,11,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,120,14,14,f32]>
tensor<[1,120,14,14,f32]>
tensor<[1,120,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,120,17,17,f32]>
tensor<[1,120,17,17,f32]>
tensor<[1,120,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,120,1,1,bf16]>
tensor<[1,120,28,28,bf16]>
tensor<[1,120,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,120,1,1,f32]>
tensor<[1,120,40,40,f32]>
tensor<[1,120,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,120,28,28,f32]>
tensor<[1,120,28,28,f32]>
tensor<[1,120,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,120,28,28,bf16]>
tensor<[1,120,28,28,bf16]>
tensor<[1,120,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,120,28,28,bf16]>
tensor<[1,120,28,28,bf16]>
tensor<[1,120,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,120,40,40,f32]>
tensor<[1,120,40,40,f32]>
tensor<[1,120,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1216,14,14,f32]>
tensor<[1,1216,14,14,f32]>
tensor<[1,1216,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1216,7,7,f32]>
tensor<[1,1216,7,7,f32]>
tensor<[1,1216,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1248,14,14,f32]>
tensor<[1,1248,14,14,f32]>
tensor<[1,1248,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1248,7,7,f32]>
tensor<[1,1248,7,7,f32]>
tensor<[1,1248,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1248,9,9,f32]>
tensor<[1,1248,9,9,f32]>
tensor<[1,1248,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,f32]>
tensor<[1,1280,f32]>
tensor<[1,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,10,10,f32]>
tensor<[1,1280,10,10,f32]>
tensor<[1,1280,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,12,12,f32]>
tensor<[1,1280,12,12,f32]>
tensor<[1,1280,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,14,14,f32]>
tensor<[1,1280,14,14,f32]>
tensor<[1,1280,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,16,16,f32]>
tensor<[1,1280,16,16,f32]>
tensor<[1,1280,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,32,32,f32]>
tensor<[1,1280,32,32,f32]>
tensor<[1,1280,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,7,7,f32]>
tensor<[1,1280,7,7,f32]>
tensor<[1,1280,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,8,8,f32]>
tensor<[1,1280,8,8,f32]>
tensor<[1,1280,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,8,8,f32]>
tensor<[1,1280,8,8,f32]>
tensor<[1,1280,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,9,9,f32]>
tensor<[1,1280,9,9,f32]>
tensor<[1,1280,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,f32]>
tensor<[1,128,f32]>
tensor<[1,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,112,112,f32]>
tensor<[1,128,112,112,f32]>
tensor<[1,128,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,128,128,f32]>
tensor<[1,128,128,128,f32]>
tensor<[1,128,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,14,14,f32]>
tensor<[1,128,14,14,f32]>
tensor<[1,128,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,150,150,f32]>
tensor<[1,128,150,150,f32]>
tensor<[1,128,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,17,17,f32]>
tensor<[1,128,17,17,f32]>
tensor<[1,128,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,180,320,bf16]>
tensor<[1,128,180,320,bf16]>
tensor<[1,128,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,128,1,1,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,28,28,f32]>
tensor<[1,128,28,28,f32]>
tensor<[1,128,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,2,2,f32]>
tensor<[1,128,2,2,f32]>
tensor<[1,128,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,32,32,f32]>
tensor<[1,128,32,32,f32]>
tensor<[1,128,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,3,3,f32]>
tensor<[1,128,3,3,f32]>
tensor<[1,128,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,56,56,f32]>
tensor<[1,128,56,56,f32]>
tensor<[1,128,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,5,5,f32]>
tensor<[1,128,5,5,f32]>
tensor<[1,128,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,64,64,f32]>
tensor<[1,128,64,64,f32]>
tensor<[1,128,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,75,75,f32]>
tensor<[1,128,75,75,f32]>
tensor<[1,128,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,7,7,f32]>
tensor<[1,128,7,7,f32]>
tensor<[1,128,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,128,90,160,bf16]>
tensor<[1,128,90,160,bf16]>
tensor<[1,128,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,f32]>
tensor<[1,12,f32]>
tensor<[1,12,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,bf16]>
tensor<[1,12,bf16]>
tensor<[1,12,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,12,128,bf16]>
tensor<[1,12,12,128,bf16]>
tensor<[1,12,12,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,1536,f32]>
tensor<[1,12,1536,f32]>
tensor<[1,12,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,1,128,bf16]>
tensor<[1,12,1,128,bf16]>
tensor<[1,12,1,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,257,257,bf16]>
tensor<[1,12,257,257,bf16]>
tensor<[1,12,257,257,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,257,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,56,56,f32]>
tensor<[1,12,56,56,f32]>
tensor<[1,12,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,8960,bf16]>
tensor<[1,12,8960,bf16]>
tensor<[1,12,8960,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1312,14,14,f32]>
tensor<[1,1312,14,14,f32]>
tensor<[1,1312,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1312,7,7,f32]>
tensor<[1,1312,7,7,f32]>
tensor<[1,1312,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1344,14,14,f32]>
tensor<[1,1344,14,14,f32]>
tensor<[1,1344,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1344,28,28,f32]>
tensor<[1,1344,28,28,f32]>
tensor<[1,1344,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1344,7,7,f32]>
tensor<[1,1344,7,7,f32]>
tensor<[1,1344,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,134,28,28,f32]>
tensor<[1,134,28,28,f32]>
tensor<[1,134,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,136,19,19,f32]>
tensor<[1,136,19,19,f32]>
tensor<[1,136,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1376,14,14,f32]>
tensor<[1,1376,14,14,f32]>
tensor<[1,1376,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1376,7,7,f32]>
tensor<[1,1376,7,7,f32]>
tensor<[1,1376,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1392,10,10,f32]>
tensor<[1,1392,10,10,f32]>
tensor<[1,1392,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1392,14,14,f32]>
tensor<[1,1392,14,14,f32]>
tensor<[1,1392,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1392,1,1,bf16]>
tensor<[1,1392,14,14,bf16]>
tensor<[1,1392,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1392,28,28,f32]>
tensor<[1,1392,28,28,f32]>
tensor<[1,1392,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,13,bf16]>
tensor<[1,13,bf16]>
tensor<[1,13,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,13,128,f32]>
tensor<[1,13,128,f32]>
tensor<[1,13,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,13,1536,f32]>
tensor<[1,13,1536,f32]>
tensor<[1,13,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,13,18944,bf16]>
tensor<[1,13,18944,bf16]>
tensor<[1,13,18944,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,18944,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,13,3584,f32]>
tensor<[1,13,3584,f32]>
tensor<[1,13,3584,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1408,14,14,f32]>
tensor<[1,1408,14,14,f32]>
tensor<[1,1408,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1408,7,7,f32]>
tensor<[1,1408,7,7,f32]>
tensor<[1,1408,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1440,14,14,f32]>
tensor<[1,1440,14,14,f32]>
tensor<[1,1440,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1440,7,7,f32]>
tensor<[1,1440,7,7,f32]>
tensor<[1,1440,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,14,14,f32]>
tensor<[1,144,14,14,f32]>
tensor<[1,144,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,150,150,f32]>
tensor<[1,144,150,150,f32]>
tensor<[1,144,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,190,190,f32]>
tensor<[1,144,190,190,f32]>
tensor<[1,144,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,28,28,f32]>
tensor<[1,144,28,28,f32]>
tensor<[1,144,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,30,30,f32]>
tensor<[1,144,30,30,f32]>
tensor<[1,144,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,33,33,f32]>
tensor<[1,144,33,33,f32]>
tensor<[1,144,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,56,56,f32]>
tensor<[1,144,56,56,f32]>
tensor<[1,144,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,60,60,f32]>
tensor<[1,144,60,60,f32]>
tensor<[1,144,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,65,65,f32]>
tensor<[1,144,65,65,f32]>
tensor<[1,144,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,75,75,f32]>
tensor<[1,144,75,75,f32]>
tensor<[1,144,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,7,7,f32]>
tensor<[1,144,7,7,f32]>
tensor<[1,144,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,144,95,95,f32]>
tensor<[1,144,95,95,f32]>
tensor<[1,144,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1472,14,14,f32]>
tensor<[1,1472,14,14,f32]>
tensor<[1,1472,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1472,7,7,f32]>
tensor<[1,1472,7,7,f32]>
tensor<[1,1472,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,bf16]>
tensor<[1,14,bf16]>
tensor<[1,14,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,1536,f32]>
tensor<[1,14,1536,f32]>
tensor<[1,14,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,14,56,56,f32]>
tensor<[1,14,56,56,f32]>
tensor<[1,14,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1504,14,14,f32]>
tensor<[1,1504,14,14,f32]>
tensor<[1,1504,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1504,7,7,f32]>
tensor<[1,1504,7,7,f32]>
tensor<[1,1504,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1536,10,10,f32]>
tensor<[1,1536,10,10,f32]>
tensor<[1,1536,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1536,14,14,f32]>
tensor<[1,1536,14,14,f32]>
tensor<[1,1536,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1536,7,7,f32]>
tensor<[1,1536,7,7,f32]>
tensor<[1,1536,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1568,14,14,f32]>
tensor<[1,1568,14,14,f32]>
tensor<[1,1568,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1568,7,7,f32]>
tensor<[1,1568,7,7,f32]>
tensor<[1,1568,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,15,bf16]>
tensor<[1,15,bf16]>
tensor<[1,15,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,15,1536,f32]>
tensor<[1,15,1536,f32]>
tensor<[1,15,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,15,512,f32]>
tensor<[1,15,512,f32]>
tensor<[1,15,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1600,14,14,f32]>
tensor<[1,1600,14,14,f32]>
tensor<[1,1600,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1600,7,7,f32]>
tensor<[1,1600,7,7,f32]>
tensor<[1,1600,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,160,14,14,f32]>
tensor<[1,160,14,14,f32]>
tensor<[1,160,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,160,24,24,f32]>
tensor<[1,160,24,24,f32]>
tensor<[1,160,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,160,28,28,f32]>
tensor<[1,160,28,28,f32]>
tensor<[1,160,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,160,56,56,f32]>
tensor<[1,160,56,56,f32]>
tensor<[1,160,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,160,7,7,f32]>
tensor<[1,160,7,7,f32]>
tensor<[1,160,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1632,12,12,f32]>
tensor<[1,1632,12,12,f32]>
tensor<[1,1632,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1632,14,14,f32]>
tensor<[1,1632,14,14,f32]>
tensor<[1,1632,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1632,7,7,f32]>
tensor<[1,1632,7,7,f32]>
tensor<[1,1632,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1664,14,14,f32]>
tensor<[1,1664,14,14,f32]>
tensor<[1,1664,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1664,7,7,f32]>
tensor<[1,1664,7,7,f32]>
tensor<[1,1664,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,168,28,28,f32]>
tensor<[1,168,28,28,f32]>
tensor<[1,168,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1696,14,14,f32]>
tensor<[1,1696,14,14,f32]>
tensor<[1,1696,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1696,7,7,f32]>
tensor<[1,1696,7,7,f32]>
tensor<[1,1696,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,bf16]>
tensor<[1,16,bf16]>
tensor<[1,16,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,16,112,112,f32]>
tensor<[1,16,112,112,f32]>
tensor<[1,16,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,120,120,f32]>
tensor<[1,16,120,120,f32]>
tensor<[1,16,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,130,130,f32]>
tensor<[1,16,130,130,f32]>
tensor<[1,16,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,14,14,f32]>
tensor<[1,16,14,14,f32]>
tensor<[1,16,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,224,224,f32]>
tensor<[1,16,224,224,f32]>
tensor<[1,16,224,224,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,28,28,f32]>
tensor<[1,16,28,28,f32]>
tensor<[1,16,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,56,56,f32]>
tensor<[1,16,56,56,f32]>
tensor<[1,16,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1728,14,14,f32]>
tensor<[1,1728,14,14,f32]>
tensor<[1,1728,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1728,7,7,f32]>
tensor<[1,1728,7,7,f32]>
tensor<[1,1728,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1760,14,14,f32]>
tensor<[1,1760,14,14,f32]>
tensor<[1,1760,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1760,7,7,f32]>
tensor<[1,1760,7,7,f32]>
tensor<[1,1760,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1792,14,14,f32]>
tensor<[1,1792,14,14,f32]>
tensor<[1,1792,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1792,7,7,f32]>
tensor<[1,1792,7,7,f32]>
tensor<[1,1792,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,17,bf16]>
tensor<[1,17,bf16]>
tensor<[1,17,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1824,7,7,f32]>
tensor<[1,1824,7,7,f32]>
tensor<[1,1824,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,184,14,14,f32]>
tensor<[1,184,14,14,f32]>
tensor<[1,184,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
tensor<[1,184,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,184,7,7,f32]>
tensor<[1,184,7,7,f32]>
tensor<[1,184,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1856,7,7,f32]>
tensor<[1,1856,7,7,f32]>
tensor<[1,1856,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1888,7,7,f32]>
tensor<[1,1888,7,7,f32]>
tensor<[1,1888,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,18,bf16]>
tensor<[1,18,bf16]>
tensor<[1,18,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,18,14,14,f32]>
tensor<[1,18,14,14,f32]>
tensor<[1,18,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,18,28,28,f32]>
tensor<[1,18,28,28,f32]>
tensor<[1,18,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,18,56,56,f32]>
tensor<[1,18,56,56,f32]>
tensor<[1,18,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,18,7,7,f32]>
tensor<[1,18,7,7,f32]>
tensor<[1,18,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1920,16,16,f32]>
tensor<[1,1920,16,16,f32]>
tensor<[1,1920,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1920,32,32,f32]>
tensor<[1,1920,32,32,f32]>
tensor<[1,1920,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1920,7,7,f32]>
tensor<[1,1920,7,7,f32]>
tensor<[1,1920,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,14,14,f32]>
tensor<[1,192,14,14,f32]>
tensor<[1,192,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,17,17,f32]>
tensor<[1,192,17,17,f32]>
tensor<[1,192,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,28,28,f32]>
tensor<[1,192,28,28,f32]>
tensor<[1,192,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,35,35,f32]>
tensor<[1,192,35,35,f32]>
tensor<[1,192,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,38,38,f32]>
tensor<[1,192,38,38,f32]>
tensor<[1,192,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,48,48,f32]>
tensor<[1,192,48,48,f32]>
tensor<[1,192,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,56,56,f32]>
tensor<[1,192,56,56,f32]>
tensor<[1,192,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,75,75,f32]>
tensor<[1,192,75,75,f32]>
tensor<[1,192,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,7,7,f32]>
tensor<[1,192,7,7,f32]>
tensor<[1,192,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,8,8,f32]>
tensor<[1,192,8,8,f32]>
tensor<[1,192,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,192,95,95,f32]>
tensor<[1,192,95,95,f32]>
tensor<[1,192,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,196,14,14,f32]>
tensor<[1,196,14,14,f32]>
tensor<[1,196,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,19,bf16]>
tensor<[1,19,bf16]>
tensor<[1,19,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,f32]>
tensor<[1,1,f32]>
tensor<[1,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.multiplytensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,128,f32]>
tensor<[1,1,128,f32]>
tensor<[1,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,1536,f32]>
tensor<[1,1,1536,f32]>
tensor<[1,1,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,16,32,f32]>
tensor<[1,1,16,32,f32]>
tensor<[1,1,16,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1,201,bf16]>
tensor<[1,1,1,201,bf16]>
tensor<[1,1,1,201,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1,2048,bf16]>
tensor<[1,1,1,2048,bf16]>
tensor<[1,1,1,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,480,640,bf16]>
tensor<[1,1,480,640,bf16]>
tensor<[1,1,480,640,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,512,bf16]>
tensor<[1,1,512,bf16]>
tensor<[1,1,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,512,f32]>
tensor<[1,1,512,f32]>
tensor<[1,1,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,768,bf16]>
tensor<[1,1,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,7,64,bf16]>
tensor<[1,1,7,64,bf16]>
tensor<[1,1,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,8960,bf16]>
tensor<[1,1,8960,bf16]>
tensor<[1,1,8960,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
tensor<[1,200,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,200,14,14,f32]>
tensor<[1,200,14,14,f32]>
tensor<[1,200,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,200,7,7,f32]>
tensor<[1,200,7,7,f32]>
tensor<[1,200,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2048,10,10,f32]>
tensor<[1,2048,10,10,f32]>
tensor<[1,2048,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2048,14,14,f32]>
tensor<[1,2048,14,14,f32]>
tensor<[1,2048,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2048,23,40,bf16]>
tensor<[1,2048,23,40,bf16]>
tensor<[1,2048,23,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2048,7,7,f32]>
tensor<[1,2048,7,7,f32]>
tensor<[1,2048,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,208,14,14,f32]>
tensor<[1,208,14,14,f32]>
tensor<[1,208,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,208,9,9,f32]>
tensor<[1,208,9,9,f32]>
tensor<[1,208,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,20,bf16]>
tensor<[1,20,bf16]>
tensor<[1,20,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,20,28,28,f32]>
tensor<[1,20,28,28,f32]>
tensor<[1,20,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,21843,f32]>
tensor<[1,21843,f32]>
tensor<[1,21843,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,21843,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,21,bf16]>
tensor<[1,21,bf16]>
tensor<[1,21,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,224,14,14,f32]>
tensor<[1,224,14,14,f32]>
tensor<[1,224,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,224,17,17,f32]>
tensor<[1,224,17,17,f32]>
tensor<[1,224,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,224,28,28,f32]>
tensor<[1,224,28,28,f32]>
tensor<[1,224,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,224,35,35,f32]>
tensor<[1,224,35,35,f32]>
tensor<[1,224,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,224,56,56,f32]>
tensor<[1,224,56,56,f32]>
tensor<[1,224,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,224,7,7,f32]>
tensor<[1,224,7,7,f32]>
tensor<[1,224,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,22,bf16]>
tensor<[1,22,bf16]>
tensor<[1,22,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,232,10,10,f32]>
tensor<[1,232,10,10,f32]>
tensor<[1,232,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,232,112,112,f32]>
tensor<[1,232,112,112,f32]>
tensor<[1,232,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,232,1,1,bf16]>
tensor<[1,232,56,56,bf16]>
tensor<[1,232,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,232,56,56,f32]>
tensor<[1,232,56,56,f32]>
tensor<[1,232,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,23,bf16]>
tensor<[1,23,bf16]>
tensor<[1,23,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,240,14,14,f32]>
tensor<[1,240,14,14,f32]>
tensor<[1,240,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,240,15,15,f32]>
tensor<[1,240,15,15,f32]>
tensor<[1,240,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
tensor<[1,240,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,240,28,28,f32]>
tensor<[1,240,28,28,f32]>
tensor<[1,240,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,240,30,30,f32]>
tensor<[1,240,30,30,f32]>
tensor<[1,240,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,bf16]>
tensor<[1,24,bf16]>
tensor<[1,24,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,24,112,112,f32]>
tensor<[1,24,112,112,f32]>
tensor<[1,24,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,14,14,f32]>
tensor<[1,24,14,14,f32]>
tensor<[1,24,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,150,150,f32]>
tensor<[1,24,150,150,f32]>
tensor<[1,24,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,190,190,f32]>
tensor<[1,24,190,190,f32]>
tensor<[1,24,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,28,28,f32]>
tensor<[1,24,28,28,f32]>
tensor<[1,24,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,32,128,bf16]>
tensor<[1,24,32,128,bf16]>
tensor<[1,24,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,24,56,56,f32]>
tensor<[1,24,56,56,f32]>
tensor<[1,24,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,60,60,f32]>
tensor<[1,24,60,60,f32]>
tensor<[1,24,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,65,65,f32]>
tensor<[1,24,65,65,f32]>
tensor<[1,24,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,24,80,80,f32]>
tensor<[1,24,80,80,f32]>
tensor<[1,24,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2520,14,14,f32]>
tensor<[1,2520,14,14,f32]>
tensor<[1,2520,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2520,7,7,f32]>
tensor<[1,2520,7,7,f32]>
tensor<[1,2520,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2560,16,16,f32]>
tensor<[1,2560,16,16,f32]>
tensor<[1,2560,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2560,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2560,8,8,f32]>
tensor<[1,2560,8,8,f32]>
tensor<[1,2560,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2560,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,f32]>
tensor<[1,256,f32]>
tensor<[1,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,10,10,f32]>
tensor<[1,256,10,10,f32]>
tensor<[1,256,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,128,128,f32]>
tensor<[1,256,128,128,f32]>
tensor<[1,256,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,14,14,f32]>
tensor<[1,256,14,14,f32]>
tensor<[1,256,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,16,16,f32]>
tensor<[1,256,16,16,f32]>
tensor<[1,256,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,17,17,f32]>
tensor<[1,256,17,17,f32]>
tensor<[1,256,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,180,320,bf16]>
tensor<[1,256,180,320,bf16]>
tensor<[1,256,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,28,28,f32]>
tensor<[1,256,28,28,f32]>
tensor<[1,256,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,2,2,f32]>
tensor<[1,256,2,2,f32]>
tensor<[1,256,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,32,32,f32]>
tensor<[1,256,32,32,f32]>
tensor<[1,256,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,38,38,f32]>
tensor<[1,256,38,38,f32]>
tensor<[1,256,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,3,3,f32]>
tensor<[1,256,3,3,f32]>
tensor<[1,256,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,45,80,bf16]>
tensor<[1,256,45,80,bf16]>
tensor<[1,256,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,5120,bf16]>
tensor<[1,256,5120,bf16]>
tensor<[1,256,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,56,56,bf16]>
tensor<[1,256,56,56,bf16]>
tensor<[1,256,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,56,56,f32]>
tensor<[1,256,56,56,f32]>
tensor<[1,256,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,5,5,f32]>
tensor<[1,256,5,5,f32]>
tensor<[1,256,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,64,64,f32]>
tensor<[1,256,64,64,f32]>
tensor<[1,256,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,75,75,f32]>
tensor<[1,256,75,75,f32]>
tensor<[1,256,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,7,7,f32]>
tensor<[1,256,7,7,f32]>
tensor<[1,256,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,8,8,f32]>
tensor<[1,256,8,8,f32]>
tensor<[1,256,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,90,160,bf16]>
tensor<[1,256,90,160,bf16]>
tensor<[1,256,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,25,bf16]>
tensor<[1,25,bf16]>
tensor<[1,25,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,26,bf16]>
tensor<[1,26,bf16]>
tensor<[1,26,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,272,12,12,f32]>
tensor<[1,272,12,12,f32]>
tensor<[1,272,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,272,7,7,f32]>
tensor<[1,272,7,7,f32]>
tensor<[1,272,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,27,bf16]>
tensor<[1,27,bf16]>
tensor<[1,27,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,288,14,14,f32]>
tensor<[1,288,14,14,f32]>
tensor<[1,288,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,288,17,17,f32]>
tensor<[1,288,17,17,f32]>
tensor<[1,288,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,288,19,19,f32]>
tensor<[1,288,19,19,f32]>
tensor<[1,288,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,288,28,28,f32]>
tensor<[1,288,28,28,f32]>
tensor<[1,288,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,288,33,33,f32]>
tensor<[1,288,33,33,f32]>
tensor<[1,288,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,288,38,38,f32]>
tensor<[1,288,38,38,f32]>
tensor<[1,288,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,28,bf16]>
tensor<[1,28,bf16]>
tensor<[1,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,28,13,128,bf16]>
tensor<[1,28,13,128,bf16]>
tensor<[1,28,13,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,28,28,28,f32]>
tensor<[1,28,28,28,f32]>
tensor<[1,28,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,29,bf16]>
tensor<[1,29,bf16]>
tensor<[1,29,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,2,f32]>
tensor<[1,2,f32]>
tensor<[1,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2,12,128,bf16]>
tensor<[1,2,12,128,bf16]>
tensor<[1,2,12,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,2,1,128,bf16]>
tensor<[1,2,1,128,bf16]>
tensor<[1,2,1,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,f32]>
tensor<[1,3072,f32]>
tensor<[1,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,10,16,f32]>
tensor<[1,3072,10,16,f32]>
tensor<[1,3072,10,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,10,1,f32]>
tensor<[1,3072,10,16,f32]>
tensor<[1,3072,10,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,11,16,f32]>
tensor<[1,3072,11,16,f32]>
tensor<[1,3072,11,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,11,1,f32]>
tensor<[1,3072,11,16,f32]>
tensor<[1,3072,11,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,12,16,f32]>
tensor<[1,3072,12,16,f32]>
tensor<[1,3072,12,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,12,1,f32]>
tensor<[1,3072,12,16,f32]>
tensor<[1,3072,12,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,13,16,f32]>
tensor<[1,3072,13,16,f32]>
tensor<[1,3072,13,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,13,1,f32]>
tensor<[1,3072,13,16,f32]>
tensor<[1,3072,13,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,14,16,f32]>
tensor<[1,3072,14,16,f32]>
tensor<[1,3072,14,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,14,1,f32]>
tensor<[1,3072,14,16,f32]>
tensor<[1,3072,14,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,15,16,f32]>
tensor<[1,3072,15,16,f32]>
tensor<[1,3072,15,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,15,1,f32]>
tensor<[1,3072,15,16,f32]>
tensor<[1,3072,15,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,16,f32]>
tensor<[1,3072,16,f32]>
tensor<[1,3072,16,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,1,16,f32]>
tensor<[1,3072,10,16,f32]>
tensor<[1,3072,10,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,1,16,f32]>
tensor<[1,3072,11,16,f32]>
tensor<[1,3072,11,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,1,16,f32]>
tensor<[1,3072,12,16,f32]>
tensor<[1,3072,12,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,1,16,f32]>
tensor<[1,3072,13,16,f32]>
tensor<[1,3072,13,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,1,16,f32]>
tensor<[1,3072,14,16,f32]>
tensor<[1,3072,14,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,1,16,f32]>
tensor<[1,3072,15,16,f32]>
tensor<[1,3072,15,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,1,16,f32]>
tensor<[1,3072,6,16,f32]>
tensor<[1,3072,6,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,1,16,f32]>
tensor<[1,3072,7,16,f32]>
tensor<[1,3072,7,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,1,16,f32]>
tensor<[1,3072,8,16,f32]>
tensor<[1,3072,8,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,1,16,f32]>
tensor<[1,3072,9,16,f32]>
tensor<[1,3072,9,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,6,16,f32]>
tensor<[1,3072,6,16,f32]>
tensor<[1,3072,6,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,6,1,f32]>
tensor<[1,3072,6,16,f32]>
tensor<[1,3072,6,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,7,16,f32]>
tensor<[1,3072,7,16,f32]>
tensor<[1,3072,7,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,7,1,f32]>
tensor<[1,3072,7,16,f32]>
tensor<[1,3072,7,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,8,16,f32]>
tensor<[1,3072,8,16,f32]>
tensor<[1,3072,8,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,8,1,f32]>
tensor<[1,3072,8,16,f32]>
tensor<[1,3072,8,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,9,16,f32]>
tensor<[1,3072,9,16,f32]>
tensor<[1,3072,9,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3072,9,1,f32]>
tensor<[1,3072,9,16,f32]>
tensor<[1,3072,9,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3129,f32]>
tensor<[1,3129,f32]>
tensor<[1,3129,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3129,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,320,14,14,f32]>
tensor<[1,320,14,14,f32]>
tensor<[1,320,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,320,17,17,f32]>
tensor<[1,320,17,17,f32]>
tensor<[1,320,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,320,28,28,f32]>
tensor<[1,320,28,28,f32]>
tensor<[1,320,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,320,32,32,f32]>
tensor<[1,320,32,32,f32]>
tensor<[1,320,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,320,64,64,f32]>
tensor<[1,320,64,64,f32]>
tensor<[1,320,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,320,7,7,f32]>
tensor<[1,320,7,7,f32]>
tensor<[1,320,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,320,8,8,f32]>
tensor<[1,320,8,8,f32]>
tensor<[1,320,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,ui32]>
tensor<[1,32,ui32]>
tensor<[1,32,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,11008,bf16]>
tensor<[1,32,11008,bf16]>
tensor<[1,32,11008,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,11008,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,112,112,f32]>
tensor<[1,32,112,112,f32]>
tensor<[1,32,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,120,120,f32]>
tensor<[1,32,120,120,f32]>
tensor<[1,32,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,120,160,f32]>
tensor<[1,32,120,160,f32]>
tensor<[1,32,120,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,128,f32]>
tensor<[1,32,128,f32]>
tensor<[1,32,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,128,128,f32]>
tensor<[1,32,128,128,f32]>
tensor<[1,32,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,130,130,f32]>
tensor<[1,32,130,130,f32]>
tensor<[1,32,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,147,147,f32]>
tensor<[1,32,147,147,f32]>
tensor<[1,32,147,147,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,149,149,f32]>
tensor<[1,32,149,149,f32]>
tensor<[1,32,149,149,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,14,14,f32]>
tensor<[1,32,14,14,f32]>
tensor<[1,32,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,150,150,f32]>
tensor<[1,32,150,150,f32]>
tensor<[1,32,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,190,190,f32]>
tensor<[1,32,190,190,f32]>
tensor<[1,32,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,256,256,f32]>
tensor<[1,32,256,256,f32]>
tensor<[1,32,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,28,28,f32]>
tensor<[1,32,28,28,f32]>
tensor<[1,32,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,3072,f32]>
tensor<[1,32,3072,f32]>
tensor<[1,32,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,30,40,f32]>
tensor<[1,32,30,40,f32]>
tensor<[1,32,30,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,32,128,bf16]>
tensor<[1,32,32,128,bf16]>
tensor<[1,32,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,4096,f32]>
tensor<[1,32,4096,f32]>
tensor<[1,32,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,49,32,bf16]>
tensor<[1,32,49,32,bf16]>
tensor<[1,32,49,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,512,512,f32]>
tensor<[1,32,512,512,f32]>
tensor<[1,32,512,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,56,56,f32]>
tensor<[1,32,56,56,f32]>
tensor<[1,32,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,60,80,f32]>
tensor<[1,32,60,80,f32]>
tensor<[1,32,60,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,75,75,f32]>
tensor<[1,32,75,75,f32]>
tensor<[1,32,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,7,7,f32]>
tensor<[1,32,7,7,f32]>
tensor<[1,32,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,8192,bf16]>
tensor<[1,32,8192,bf16]>
tensor<[1,32,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,95,95,f32]>
tensor<[1,32,95,95,f32]>
tensor<[1,32,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,334,14,14,f32]>
tensor<[1,334,14,14,f32]>
tensor<[1,334,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,336,112,112,f32]>
tensor<[1,336,112,112,f32]>
tensor<[1,336,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,336,14,14,f32]>
tensor<[1,336,14,14,f32]>
tensor<[1,336,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,336,24,24,f32]>
tensor<[1,336,24,24,f32]>
tensor<[1,336,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,336,48,48,f32]>
tensor<[1,336,48,48,f32]>
tensor<[1,336,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,336,56,56,f32]>
tensor<[1,336,56,56,f32]>
tensor<[1,336,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,34,28,28,f32]>
tensor<[1,34,28,28,f32]>
tensor<[1,34,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,352,14,14,f32]>
tensor<[1,352,14,14,f32]>
tensor<[1,352,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,352,28,28,f32]>
tensor<[1,352,28,28,f32]>
tensor<[1,352,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,352,9,9,f32]>
tensor<[1,352,9,9,f32]>
tensor<[1,352,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,36,14,14,f32]>
tensor<[1,36,14,14,f32]>
tensor<[1,36,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,36,28,28,f32]>
tensor<[1,36,28,28,f32]>
tensor<[1,36,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,36,56,56,f32]>
tensor<[1,36,56,56,f32]>
tensor<[1,36,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,36,7,7,f32]>
tensor<[1,36,7,7,f32]>
tensor<[1,36,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3712,14,14,f32]>
tensor<[1,3712,14,14,f32]>
tensor<[1,3712,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3712,1,1,bf16]>
tensor<[1,3712,7,7,bf16]>
tensor<[1,3712,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3712,7,7,f32]>
tensor<[1,3712,7,7,f32]>
tensor<[1,3712,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,384,10,10,f32]>
tensor<[1,384,10,10,f32]>
tensor<[1,384,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,384,14,14,f32]>
tensor<[1,384,14,14,f32]>
tensor<[1,384,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,384,17,17,f32]>
tensor<[1,384,17,17,f32]>
tensor<[1,384,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,384,28,28,f32]>
tensor<[1,384,28,28,f32]>
tensor<[1,384,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,384,7,7,f32]>
tensor<[1,384,7,7,f32]>
tensor<[1,384,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,384,8,8,f32]>
tensor<[1,384,8,8,f32]>
tensor<[1,384,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3,f32]>
tensor<[1,3,f32]>
tensor<[1,3,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,4096,f32]>
tensor<[1,4096,f32]>
tensor<[1,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,1280,bf16]>
tensor<[1,4096,1280,bf16]>
tensor<[1,4096,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,40,14,14,f32]>
tensor<[1,40,14,14,f32]>
tensor<[1,40,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,40,28,28,f32]>
tensor<[1,40,28,28,f32]>
tensor<[1,40,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,40,30,30,f32]>
tensor<[1,40,30,30,f32]>
tensor<[1,40,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,40,40,40,f32]>
tensor<[1,40,40,40,f32]>
tensor<[1,40,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,40,56,56,f32]>
tensor<[1,40,56,56,f32]>
tensor<[1,40,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,416,14,14,f32]>
tensor<[1,416,14,14,f32]>
tensor<[1,416,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,416,28,28,f32]>
tensor<[1,416,28,28,f32]>
tensor<[1,416,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,448,12,12,f32]>
tensor<[1,448,12,12,f32]>
tensor<[1,448,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,448,14,14,f32]>
tensor<[1,448,14,14,f32]>
tensor<[1,448,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,448,28,28,f32]>
tensor<[1,448,28,28,f32]>
tensor<[1,448,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,448,8,8,f32]>
tensor<[1,448,8,8,f32]>
tensor<[1,448,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,462,7,7,f32]>
tensor<[1,462,7,7,f32]>
tensor<[1,462,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,46,bf16]>
tensor<[1,46,bf16]>
tensor<[1,46,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,46,28,28,f32]>
tensor<[1,46,28,28,f32]>
tensor<[1,46,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,47,bf16]>
tensor<[1,47,bf16]>
tensor<[1,47,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,47,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,480,14,14,f32]>
tensor<[1,480,14,14,f32]>
tensor<[1,480,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,480,15,15,f32]>
tensor<[1,480,15,15,f32]>
tensor<[1,480,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,480,1,1,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,480,1,1,bf16]>
tensor<[1,480,14,14,bf16]>
tensor<[1,480,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,480,1,1,f32]>
tensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,480,28,28,f32]>
tensor<[1,480,28,28,f32]>
tensor<[1,480,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,480,7,7,f32]>
tensor<[1,480,7,7,f32]>
tensor<[1,480,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,48,bf16]>
tensor<[1,48,bf16]>
tensor<[1,48,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,48,14,14,f32]>
tensor<[1,48,14,14,f32]>
tensor<[1,48,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,48,33,33,f32]>
tensor<[1,48,33,33,f32]>
tensor<[1,48,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,48,38,38,f32]>
tensor<[1,48,38,38,f32]>
tensor<[1,48,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,48,56,56,f32]>
tensor<[1,48,56,56,f32]>
tensor<[1,48,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,48,7,7,f32]>
tensor<[1,48,7,7,f32]>
tensor<[1,48,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,49,bf16]>
tensor<[1,49,bf16]>
tensor<[1,49,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,4,13,128,bf16]>
tensor<[1,4,13,128,bf16]>
tensor<[1,4,13,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,50,bf16]>
tensor<[1,50,bf16]>
tensor<[1,50,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,50,3072,bf16]>
tensor<[1,50,3072,bf16]>
tensor<[1,50,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,50,3072,bf16]>
tensor<[1,50,3072,bf16]>
tensor<[1,50,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,51200,f32]>
tensor<[1,51200,f32]>
tensor<[1,51200,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,512,14,14,f32]>
tensor<[1,512,14,14,f32]>
tensor<[1,512,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,512,16,16,f32]>
tensor<[1,512,16,16,f32]>
tensor<[1,512,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,512,23,40,bf16]>
tensor<[1,512,23,40,bf16]>
tensor<[1,512,23,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,512,28,28,bf16]>
tensor<[1,512,28,28,bf16]>
tensor<[1,512,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,512,28,28,f32]>
tensor<[1,512,28,28,f32]>
tensor<[1,512,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,512,32,32,f32]>
tensor<[1,512,32,32,f32]>
tensor<[1,512,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,512,45,80,bf16]>
tensor<[1,512,45,80,bf16]>
tensor<[1,512,45,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,512,56,56,f32]>
tensor<[1,512,56,56,f32]>
tensor<[1,512,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,512,5,5,f32]>
tensor<[1,512,5,5,f32]>
tensor<[1,512,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,512,7,7,f32]>
tensor<[1,512,7,7,f32]>
tensor<[1,512,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,512,8,8,f32]>
tensor<[1,512,8,8,f32]>
tensor<[1,512,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,512,90,160,bf16]>
tensor<[1,512,90,160,bf16]>
tensor<[1,512,90,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,51,bf16]>
tensor<[1,51,bf16]>
tensor<[1,51,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,51,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,528,17,17,f32]>
tensor<[1,528,17,17,f32]>
tensor<[1,528,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,52,bf16]>
tensor<[1,52,bf16]>
tensor<[1,52,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,52,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,53,bf16]>
tensor<[1,53,bf16]>
tensor<[1,53,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,53,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,544,14,14,f32]>
tensor<[1,544,14,14,f32]>
tensor<[1,544,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,54,bf16]>
tensor<[1,54,bf16]>
tensor<[1,54,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,54,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,55,bf16]>
tensor<[1,55,bf16]>
tensor<[1,55,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,55,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,56,bf16]>
tensor<[1,56,bf16]>
tensor<[1,56,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,56,14,14,f32]>
tensor<[1,56,14,14,f32]>
tensor<[1,56,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,56,48,48,f32]>
tensor<[1,56,48,48,f32]>
tensor<[1,56,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,576,14,14,f32]>
tensor<[1,576,14,14,f32]>
tensor<[1,576,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,576,19,19,f32]>
tensor<[1,576,19,19,f32]>
tensor<[1,576,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,576,7,7,f32]>
tensor<[1,576,7,7,f32]>
tensor<[1,576,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,57,bf16]>
tensor<[1,57,bf16]>
tensor<[1,57,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,57,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,58,bf16]>
tensor<[1,58,bf16]>
tensor<[1,58,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,58,28,28,f32]>
tensor<[1,58,28,28,f32]>
tensor<[1,58,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,59,bf16]>
tensor<[1,59,bf16]>
tensor<[1,59,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,59,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,5,16,32,f32]>
tensor<[1,5,16,32,f32]>
tensor<[1,5,16,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,608,14,14,f32]>
tensor<[1,608,14,14,f32]>
tensor<[1,608,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,60,bf16]>
tensor<[1,60,bf16]>
tensor<[1,60,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,60,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,60,28,28,f32]>
tensor<[1,60,28,28,f32]>
tensor<[1,60,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,61,bf16]>
tensor<[1,61,bf16]>
tensor<[1,61,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,61,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,62,bf16]>
tensor<[1,62,bf16]>
tensor<[1,62,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,62,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,63,bf16]>
tensor<[1,63,bf16]>
tensor<[1,63,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,63,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,640,14,14,f32]>
tensor<[1,640,14,14,f32]>
tensor<[1,640,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,640,16,16,f32]>
tensor<[1,640,16,16,f32]>
tensor<[1,640,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,640,32,32,f32]>
tensor<[1,640,32,32,f32]>
tensor<[1,640,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,640,64,64,f32]>
tensor<[1,640,64,64,f32]>
tensor<[1,640,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,f32]>
tensor<[1,64,f32]>
tensor<[1,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,bf16]>
tensor<[1,64,bf16]>
tensor<[1,64,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,112,112,f32]>
tensor<[1,64,112,112,f32]>
tensor<[1,64,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,120,160,bf16]>
tensor<[1,64,120,160,bf16]>
tensor<[1,64,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,120,160,f32]>
tensor<[1,64,120,160,f32]>
tensor<[1,64,120,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,128,128,f32]>
tensor<[1,64,128,128,f32]>
tensor<[1,64,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,147,147,f32]>
tensor<[1,64,147,147,f32]>
tensor<[1,64,147,147,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,14,14,f32]>
tensor<[1,64,14,14,f32]>
tensor<[1,64,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,150,150,f32]>
tensor<[1,64,150,150,f32]>
tensor<[1,64,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,160,160,f32]>
tensor<[1,64,160,160,f32]>
tensor<[1,64,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,180,320,bf16]>
tensor<[1,64,180,320,bf16]>
tensor<[1,64,180,320,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,1,1,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,224,224,f32]>
tensor<[1,64,224,224,f32]>
tensor<[1,64,224,224,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,256,256,f32]>
tensor<[1,64,256,256,f32]>
tensor<[1,64,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,28,28,f32]>
tensor<[1,64,28,28,f32]>
tensor<[1,64,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,2,2,f32]>
tensor<[1,64,2,2,f32]>
tensor<[1,64,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,30,40,bf16]>
tensor<[1,64,30,40,bf16]>
tensor<[1,64,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,30,40,f32]>
tensor<[1,64,30,40,f32]>
tensor<[1,64,30,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,35,35,f32]>
tensor<[1,64,35,35,f32]>
tensor<[1,64,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,360,640,bf16]>
tensor<[1,64,360,640,bf16]>
tensor<[1,64,360,640,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,5120,bf16]>
tensor<[1,64,5120,bf16]>
tensor<[1,64,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,56,56,f32]>
tensor<[1,64,56,56,f32]>
tensor<[1,64,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,60,80,bf16]>
tensor<[1,64,60,80,bf16]>
tensor<[1,64,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,60,80,f32]>
tensor<[1,64,60,80,f32]>
tensor<[1,64,60,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,64,64,f32]>
tensor<[1,64,64,64,f32]>
tensor<[1,64,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,73,73,f32]>
tensor<[1,64,73,73,f32]>
tensor<[1,64,73,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,80,80,f32]>
tensor<[1,64,80,80,f32]>
tensor<[1,64,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,65,bf16]>
tensor<[1,65,bf16]>
tensor<[1,65,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,66,bf16]>
tensor<[1,66,bf16]>
tensor<[1,66,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,66,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,672,14,14,f32]>
tensor<[1,672,14,14,f32]>
tensor<[1,672,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,15,15,f32]>
tensor<[1,672,15,15,f32]>
tensor<[1,672,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,1,1,f32]>
tensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,1,1,bf16]>
tensor<[1,672,14,14,bf16]>
tensor<[1,672,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,672,1,1,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,1,1,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,24,24,f32]>
tensor<[1,672,24,24,f32]>
tensor<[1,672,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,28,28,f32]>
tensor<[1,672,28,28,f32]>
tensor<[1,672,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,56,56,f32]>
tensor<[1,672,56,56,f32]>
tensor<[1,672,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,672,7,7,f32]>
tensor<[1,672,7,7,f32]>
tensor<[1,672,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,672,8,8,f32]>
tensor<[1,672,8,8,f32]>
tensor<[1,672,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,67,bf16]>
tensor<[1,67,bf16]>
tensor<[1,67,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,67,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,68,bf16]>
tensor<[1,68,bf16]>
tensor<[1,68,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,68,14,14,f32]>
tensor<[1,68,14,14,f32]>
tensor<[1,68,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,68,56,56,f32]>
tensor<[1,68,56,56,f32]>
tensor<[1,68,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,696,1,1,bf16]>
tensor<[1,696,28,28,bf16]>
tensor<[1,696,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,696,28,28,f32]>
tensor<[1,696,28,28,f32]>
tensor<[1,696,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,696,56,56,f32]>
tensor<[1,696,56,56,f32]>
tensor<[1,696,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,69,bf16]>
tensor<[1,69,bf16]>
tensor<[1,69,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,69,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,6,bf16]>
tensor<[1,6,bf16]>
tensor<[1,6,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,6,1024,bf16]>
tensor<[1,6,1024,bf16]>
tensor<[1,6,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,6,1536,f32]>
tensor<[1,6,1536,f32]>
tensor<[1,6,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,704,14,14,f32]>
tensor<[1,704,14,14,f32]>
tensor<[1,704,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,70,bf16]>
tensor<[1,70,bf16]>
tensor<[1,70,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,70,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,71,bf16]>
tensor<[1,71,bf16]>
tensor<[1,71,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,71,7,64,bf16]>
tensor<[1,71,7,64,bf16]>
tensor<[1,71,7,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,720,17,17,f32]>
tensor<[1,720,17,17,f32]>
tensor<[1,720,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,720,9,9,f32]>
tensor<[1,720,9,9,f32]>
tensor<[1,720,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,728,19,19,f32]>
tensor<[1,728,19,19,f32]>
tensor<[1,728,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,728,38,38,f32]>
tensor<[1,728,38,38,f32]>
tensor<[1,728,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,72,bf16]>
tensor<[1,72,bf16]>
tensor<[1,72,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,72,14,14,f32]>
tensor<[1,72,14,14,f32]>
tensor<[1,72,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,72,1,1,bf16]>
tensor<[1,72,28,28,bf16]>
tensor<[1,72,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,72,1,1,f32]>
tensor<[1,72,40,40,f32]>
tensor<[1,72,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,72,28,28,bf16]>
tensor<[1,72,28,28,bf16]>
tensor<[1,72,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,72,28,28,f32]>
tensor<[1,72,28,28,f32]>
tensor<[1,72,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,72,40,40,f32]>
tensor<[1,72,40,40,f32]>
tensor<[1,72,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,72,56,56,bf16]>
tensor<[1,72,56,56,bf16]>
tensor<[1,72,56,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,72,56,56,f32]>
tensor<[1,72,56,56,f32]>
tensor<[1,72,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,72,7,7,f32]>
tensor<[1,72,7,7,f32]>
tensor<[1,72,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,72,80,80,f32]>
tensor<[1,72,80,80,f32]>
tensor<[1,72,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,736,14,14,f32]>
tensor<[1,736,14,14,f32]>
tensor<[1,736,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,73,bf16]>
tensor<[1,73,bf16]>
tensor<[1,73,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,73,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,74,bf16]>
tensor<[1,74,bf16]>
tensor<[1,74,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,74,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,75,bf16]>
tensor<[1,75,bf16]>
tensor<[1,75,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,75,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,768,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,768,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,768,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,768,14,14,bf16]>
tensor<[1,768,14,14,bf16]>
tensor<[1,768,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,768,14,14,f32]>
tensor<[1,768,14,14,f32]>
tensor<[1,768,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,76,bf16]>
tensor<[1,76,bf16]>
tensor<[1,76,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,76,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,77,bf16]>
tensor<[1,77,bf16]>
tensor<[1,77,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,77,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,784,f32]>
tensor<[1,784,f32]>
tensor<[1,784,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,78,bf16]>
tensor<[1,78,bf16]>
tensor<[1,78,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,78,28,28,f32]>
tensor<[1,78,28,28,f32]>
tensor<[1,78,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,79,bf16]>
tensor<[1,79,bf16]>
tensor<[1,79,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,79,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,7,bf16]>
tensor<[1,7,bf16]>
tensor<[1,7,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,7,1536,f32]>
tensor<[1,7,1536,f32]>
tensor<[1,7,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,800,14,14,f32]>
tensor<[1,800,14,14,f32]>
tensor<[1,800,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,80,bf16]>
tensor<[1,80,bf16]>
tensor<[1,80,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,80,10,10,f32]>
tensor<[1,80,10,10,f32]>
tensor<[1,80,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,80,14,14,f32]>
tensor<[1,80,14,14,f32]>
tensor<[1,80,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,80,15,15,f32]>
tensor<[1,80,15,15,f32]>
tensor<[1,80,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,80,20,20,f32]>
tensor<[1,80,20,20,f32]>
tensor<[1,80,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,80,7,7,f32]>
tensor<[1,80,7,7,f32]>
tensor<[1,80,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,816,10,10,f32]>
tensor<[1,816,10,10,f32]>
tensor<[1,816,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,816,19,19,f32]>
tensor<[1,816,19,19,f32]>
tensor<[1,816,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,81,bf16]>
tensor<[1,81,bf16]>
tensor<[1,81,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,81,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,82,bf16]>
tensor<[1,82,bf16]>
tensor<[1,82,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,82,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,832,14,14,f32]>
tensor<[1,832,14,14,f32]>
tensor<[1,832,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,83,bf16]>
tensor<[1,83,bf16]>
tensor<[1,83,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,83,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,84,bf16]>
tensor<[1,84,bf16]>
tensor<[1,84,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,84,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,85,bf16]>
tensor<[1,85,bf16]>
tensor<[1,85,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,85,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,864,14,14,f32]>
tensor<[1,864,14,14,f32]>
tensor<[1,864,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,86,bf16]>
tensor<[1,86,bf16]>
tensor<[1,86,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,86,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,87,bf16]>
tensor<[1,87,bf16]>
tensor<[1,87,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,87,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,88,bf16]>
tensor<[1,88,bf16]>
tensor<[1,88,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,88,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,88,17,17,f32]>
tensor<[1,88,17,17,f32]>
tensor<[1,88,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,896,14,14,f32]>
tensor<[1,896,14,14,f32]>
tensor<[1,896,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,896,7,7,f32]>
tensor<[1,896,7,7,f32]>
tensor<[1,896,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,89,bf16]>
tensor<[1,89,bf16]>
tensor<[1,89,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,89,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,8,bf16]>
tensor<[1,8,bf16]>
tensor<[1,8,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,8,112,112,f32]>
tensor<[1,8,112,112,f32]>
tensor<[1,8,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,1536,f32]>
tensor<[1,8,1536,f32]>
tensor<[1,8,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,32,128,bf16]>
tensor<[1,8,32,128,bf16]>
tensor<[1,8,32,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,90,bf16]>
tensor<[1,90,bf16]>
tensor<[1,90,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,90,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,91,bf16]>
tensor<[1,91,bf16]>
tensor<[1,91,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,91,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,928,14,14,f32]>
tensor<[1,928,14,14,f32]>
tensor<[1,928,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,928,7,7,f32]>
tensor<[1,928,7,7,f32]>
tensor<[1,928,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,92,bf16]>
tensor<[1,92,bf16]>
tensor<[1,92,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,92,14,14,f32]>
tensor<[1,92,14,14,f32]>
tensor<[1,92,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,93,bf16]>
tensor<[1,93,bf16]>
tensor<[1,93,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,93,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,94,bf16]>
tensor<[1,94,bf16]>
tensor<[1,94,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,94,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,95,bf16]>
tensor<[1,95,bf16]>
tensor<[1,95,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,95,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,960,12,12,f32]>
tensor<[1,960,12,12,f32]>
tensor<[1,960,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,960,14,14,f32]>
tensor<[1,960,14,14,f32]>
tensor<[1,960,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,960,1,1,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,960,24,24,f32]>
tensor<[1,960,24,24,f32]>
tensor<[1,960,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,960,32,32,f32]>
tensor<[1,960,32,32,f32]>
tensor<[1,960,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,960,3,3,f32]>
tensor<[1,960,3,3,f32]>
tensor<[1,960,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,960,64,64,f32]>
tensor<[1,960,64,64,f32]>
tensor<[1,960,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
tensor<[1,960,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,960,7,7,f32]>
tensor<[1,960,7,7,f32]>
tensor<[1,960,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,bf16]>
tensor<[1,96,bf16]>
tensor<[1,96,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,96,112,112,f32]>
tensor<[1,96,112,112,f32]>
tensor<[1,96,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,120,120,f32]>
tensor<[1,96,120,120,f32]>
tensor<[1,96,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,130,130,f32]>
tensor<[1,96,130,130,f32]>
tensor<[1,96,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,14,14,f32]>
tensor<[1,96,14,14,f32]>
tensor<[1,96,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,19,19,f32]>
tensor<[1,96,19,19,f32]>
tensor<[1,96,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,28,28,f32]>
tensor<[1,96,28,28,f32]>
tensor<[1,96,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,35,35,f32]>
tensor<[1,96,35,35,f32]>
tensor<[1,96,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,56,56,f32]>
tensor<[1,96,56,56,f32]>
tensor<[1,96,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,60,60,f32]>
tensor<[1,96,60,60,f32]>
tensor<[1,96,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,65,65,f32]>
tensor<[1,96,65,65,f32]>
tensor<[1,96,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,71,71,f32]>
tensor<[1,96,71,71,f32]>
tensor<[1,96,71,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,96,73,73,f32]>
tensor<[1,96,73,73,f32]>
tensor<[1,96,73,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,97,bf16]>
tensor<[1,97,bf16]>
tensor<[1,97,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,97,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,98,bf16]>
tensor<[1,98,bf16]>
tensor<[1,98,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,98,28,28,f32]>
tensor<[1,98,28,28,f32]>
tensor<[1,98,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,992,14,14,f32]>
tensor<[1,992,14,14,f32]>
tensor<[1,992,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,992,7,7,f32]>
tensor<[1,992,7,7,f32]>
tensor<[1,992,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,99,bf16]>
tensor<[1,99,bf16]>
tensor<[1,99,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,99,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,bf16]>
tensor<[1,9,bf16]>
tensor<[1,9,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.multiplytensor<[1,9,1536,f32]>
tensor<[1,9,1536,f32]>
tensor<[1,9,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[201,3072,f32]>
tensor<[201,3072,f32]>
tensor<[201,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[201,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[201,768,f32]>
tensor<[201,768,f32]>
tensor<[201,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2048,1280,f32]>
tensor<[2048,1280,f32]>
tensor<[2048,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2048,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2048,256,f32]>
tensor<[2048,256,f32]>
tensor<[2048,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2048,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2048,768,f32]>
tensor<[2048,768,f32]>
tensor<[2048,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2048,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,f32]>
tensor<[256,f32]>
tensor<[256,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,10240,f32]>
tensor<[256,10240,f32]>
tensor<[256,10240,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,1024,f32]>
tensor<[256,1024,f32]>
tensor<[256,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,1280,f32]>
tensor<[256,1280,f32]>
tensor<[256,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,1536,f32]>
tensor<[256,1536,f32]>
tensor<[256,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,160,f32]>
tensor<[256,160,f32]>
tensor<[256,160,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,256,f32]>
tensor<[256,256,f32]>
tensor<[256,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,2,f32]>
tensor<[256,2,f32]>
tensor<[256,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,32,f32]>
tensor<[256,32,f32]>
tensor<[256,32,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,4096,f32]>
tensor<[256,4096,f32]>
tensor<[256,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,512,f32]>
tensor<[256,512,f32]>
tensor<[256,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,6144,f32]>
tensor<[256,6144,f32]>
tensor<[256,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,64,f32]>
tensor<[256,64,f32]>
tensor<[256,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[256,768,f32]>
tensor<[256,768,f32]>
tensor<[256,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[256,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[257,2304,f32]>
tensor<[257,2304,f32]>
tensor<[257,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[257,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[257,3072,f32]>
tensor<[257,3072,f32]>
tensor<[257,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[257,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[257,768,f32]>
tensor<[257,768,f32]>
tensor<[257,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[25,2,f32]>
tensor<[25,2,f32]>
tensor<[25,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[25,3072,f32]>
tensor<[25,3072,f32]>
tensor<[25,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[25,768,f32]>
tensor<[25,768,f32]>
tensor<[25,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[27,30522,f32]>
tensor<[27,30522,f32]>
tensor<[27,30522,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,30522,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[27,38,f32]>
tensor<[27,38,f32]>
tensor<[27,38,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,38,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[27,50257,f32]>
tensor<[27,50257,f32]>
tensor<[27,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[27,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2,f32]>
tensor<[2,f32]>
tensor<[2,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2,1,bf16]>
tensor<[2,1,bf16]>
tensor<[2,1,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[2,1,1,13,f32]>
tensor<[2,1,1,13,f32]>
tensor<[2,1,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2,7,2048,bf16]>
tensor<[2,7,2048,bf16]>
tensor<[2,7,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[2,7,2048,bf16]>
tensor<[2,7,2048,bf16]>
tensor<[2,7,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[300,128,f32]>
tensor<[300,128,f32]>
tensor<[300,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[300,2048,f32]>
tensor<[300,2048,f32]>
tensor<[300,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[300,320,f32]>
tensor<[300,320,f32]>
tensor<[300,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[300,512,f32]>
tensor<[300,512,f32]>
tensor<[300,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[300,64,f32]>
tensor<[300,64,f32]>
tensor<[300,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[300,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,3072,bf16]>
tensor<[1,32,3072,bf16]>
tensor<[1,32,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[3136,128,f32]>
tensor<[3136,128,f32]>
tensor<[3136,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3136,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[3136,384,f32]>
tensor<[3136,384,f32]>
tensor<[3136,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3136,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[3234,f32]>
tensor<[3234,f32]>
tensor<[3234,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[3234,1,f32]>
tensor<[3234,1,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[32,1536,f32]>
tensor<[32,1536,f32]>
tensor<[32,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[32,32,bf16]>
tensor<[32,32,bf16]>
tensor<[32,32,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[32,4608,f32]>
tensor<[32,4608,f32]>
tensor<[32,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[32,6144,f32]>
tensor<[32,6144,f32]>
tensor<[32,6144,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[32,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[3584,f32]>
tensor<[3584,f32]>
tensor<[3584,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,3584,bf16]>
tensor<[1,13,3584,bf16]>
tensor<[1,13,3584,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[36,12,144,32,f32]>
tensor<[36,12,144,32,f32]>
tensor<[36,12,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[36,24,144,32,f32]>
tensor<[36,24,144,32,f32]>
tensor<[36,24,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4096,f32]>
tensor<[4096,f32]>
tensor<[4096,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,4096,bf16]>
tensor<[1,32,4096,bf16]>
tensor<[1,32,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[4096,1536,f32]>
tensor<[4096,1536,f32]>
tensor<[4096,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4096,2560,f32]>
tensor<[4096,2560,f32]>
tensor<[4096,2560,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4096,256,f32]>
tensor<[4096,256,f32]>
tensor<[4096,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4096,3072,f32]>
tensor<[4096,3072,f32]>
tensor<[4096,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4096,320,f32]>
tensor<[4096,320,f32]>
tensor<[4096,320,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4096,384,f32]>
tensor<[4096,384,f32]>
tensor<[4096,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4096,64,f32]>
tensor<[4096,64,f32]>
tensor<[4096,64,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4096,768,f32]>
tensor<[4096,768,f32]>
tensor<[4096,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[45,3072,f32]>
tensor<[45,3072,f32]>
tensor<[45,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[45,45,bf16]>
tensor<[45,45,bf16]>
tensor<[45,45,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,45,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[45,768,f32]>
tensor<[45,768,f32]>
tensor<[45,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4800,128,f32]>
tensor<[4800,128,f32]>
tensor<[4800,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4800,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4800,512,f32]>
tensor<[4800,512,f32]>
tensor<[4800,512,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4800,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[484,6,144,32,f32]>
tensor<[484,6,144,32,f32]>
tensor<[484,6,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[49,1024,f32]>
tensor<[49,1024,f32]>
tensor<[49,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[49,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[49,3072,f32]>
tensor<[49,3072,f32]>
tensor<[49,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[49,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4,13,1024,f32]>
tensor<[4,13,1024,f32]>
tensor<[4,13,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,13,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4,16,49,32,bf16]>
tensor<[4,16,49,32,bf16]>
tensor<[4,16,49,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4,48,144,32,f32]>
tensor<[4,48,144,32,f32]>
tensor<[4,48,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[50,3072,f32]>
tensor<[50,3072,f32]>
tensor<[50,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[50,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[50,768,f32]>
tensor<[50,768,f32]>
tensor<[50,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[51200,f32]>
tensor<[51200,f32]>
tensor<[51200,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[512,f32]>
tensor<[512,f32]>
tensor<[512,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,512,bf16]>
tensor<[1,10,512,bf16]>
tensor<[1,10,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,512,bf16]>
tensor<[1,15,512,bf16]>
tensor<[1,15,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,512,bf16]>
tensor<[1,1,512,bf16]>
tensor<[1,1,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[5184,1152,f32]>
tensor<[5184,1152,f32]>
tensor<[5184,1152,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[5184,2304,f32]>
tensor<[5184,2304,f32]>
tensor<[5184,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[5184,384,f32]>
tensor<[5184,384,f32]>
tensor<[5184,384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[5184,768,f32]>
tensor<[5184,768,f32]>
tensor<[5184,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5184,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[52,1024,f32]>
tensor<[52,1024,f32]>
tensor<[52,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[576,1536,f32]>
tensor<[576,1536,f32]>
tensor<[576,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[576,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[576,4608,f32]>
tensor<[576,4608,f32]>
tensor<[576,4608,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[576,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[5,1024,f32]>
tensor<[5,1024,f32]>
tensor<[5,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[5,4096,f32]>
tensor<[5,4096,f32]>
tensor<[5,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[5,51200,f32]>
tensor<[5,51200,f32]>
tensor<[5,51200,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[5,5,bf16]>
tensor<[5,5,bf16]>
tensor<[5,5,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[64,10240,f32]>
tensor<[64,10240,f32]>
tensor<[64,10240,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[64,1280,f32]>
tensor<[64,1280,f32]>
tensor<[64,1280,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[64,4,49,32,bf16]>
tensor<[64,4,49,32,bf16]>
tensor<[64,4,49,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[65536,192,f32]>
tensor<[65536,192,f32]>
tensor<[65536,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[65536,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[65536,768,f32]>
tensor<[65536,768,f32]>
tensor<[65536,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[65536,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[69696,192,f32]>
tensor<[69696,192,f32]>
tensor<[69696,192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[69696,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[69696,576,f32]>
tensor<[69696,576,f32]>
tensor<[69696,576,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[69696,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[6,1024,f32]>
tensor<[6,1024,f32]>
tensor<[6,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[6,4096,f32]>
tensor<[6,4096,f32]>
tensor<[6,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[6,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,768,bf16]>
tensor<[1,10,768,bf16]>
tensor<[1,10,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,768,bf16]>
tensor<[1,197,768,bf16]>
tensor<[1,197,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,768,bf16]>
tensor<[1,1,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,768,f32]>
tensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[768,196,f32]>
tensor<[768,196,f32]>
tensor<[768,196,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[768,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[784,256,f32]>
tensor<[784,256,f32]>
tensor<[784,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[784,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[784,768,f32]>
tensor<[784,768,f32]>
tensor<[784,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[784,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[7,2304,f32]>
tensor<[7,2304,f32]>
tensor<[7,2304,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[7,3072,f32]>
tensor<[7,3072,f32]>
tensor<[7,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[7,768,f32]>
tensor<[7,768,f32]>
tensor<[7,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[8,100,32,bf16]>
tensor<[8,100,32,bf16]>
tensor<[8,100,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[8,2048,f32]>
tensor<[8,2048,f32]>
tensor<[8,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[8,920,32,bf16]>
tensor<[8,920,32,bf16]>
tensor<[8,920,32,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,920,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[920,2048,f32]>
tensor<[920,2048,f32]>
tensor<[920,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[920,256,f32]>
tensor<[920,256,f32]>
tensor<[920,256,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,1024,f32]>
tensor<[9,1024,f32]>
tensor<[9,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,128,f32]>
tensor<[9,128,f32]>
tensor<[9,128,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,16384,f32]>
tensor<[9,16384,f32]>
tensor<[9,16384,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,2048,f32]>
tensor<[9,2048,f32]>
tensor<[9,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,24,144,32,f32]>
tensor<[9,24,144,32,f32]>
tensor<[9,24,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,30000,f32]>
tensor<[9,30000,f32]>
tensor<[9,30000,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,30000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,3072,f32]>
tensor<[9,3072,f32]>
tensor<[9,3072,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,4096,f32]>
tensor<[9,4096,f32]>
tensor<[9,4096,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,48,144,32,f32]>
tensor<[9,48,144,32,f32]>
tensor<[9,48,144,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,768,f32]>
tensor<[9,768,f32]>
tensor<[9,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[9,8192,f32]>
tensor<[9,8192,f32]>
tensor<[9,8192,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,bf16]>
tensor<[1,bf16]>
tensor<[1,bf16]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,ui32]>
tensor<[1,ui32]>
tensor<[1,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[1,1,f32]>
tensor<[3234,1,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1280,32,32,bf16]>
tensor<[1,1280,32,32,bf16]>
tensor<[1,1280,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,8960,bf16]>
tensor<[1,12,8960,bf16]>
tensor<[1,12,8960,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,13,18944,bf16]>
tensor<[1,13,18944,bf16]>
tensor<[1,13,18944,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,18944,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1920,16,16,bf16]>
tensor<[1,1920,16,16,bf16]>
tensor<[1,1920,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1920,32,32,bf16]>
tensor<[1,1920,32,32,bf16]>
tensor<[1,1920,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,1,8960,bf16]>
tensor<[1,1,8960,bf16]>
tensor<[1,1,8960,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,2560,16,16,bf16]>
tensor<[1,2560,16,16,bf16]>
tensor<[1,2560,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2560,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,2560,8,8,bf16]>
tensor<[1,2560,8,8,bf16]>
tensor<[1,2560,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2560,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,320,32,32,bf16]>
tensor<[1,320,32,32,bf16]>
tensor<[1,320,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,320,64,64,bf16]>
tensor<[1,320,64,64,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,11008,bf16]>
tensor<[1,32,11008,bf16]>
tensor<[1,32,11008,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,11008,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,128,128,bf16]>
tensor<[1,32,128,128,bf16]>
tensor<[1,32,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,32,8192,bf16]>
tensor<[1,32,8192,bf16]>
tensor<[1,32,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,640,16,16,bf16]>
tensor<[1,640,16,16,bf16]>
tensor<[1,640,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,640,32,32,bf16]>
tensor<[1,640,32,32,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,640,64,64,bf16]>
tensor<[1,640,64,64,bf16]>
tensor<[1,640,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,64,64,64,bf16]>
tensor<[1,64,64,64,bf16]>
tensor<[1,64,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,960,32,32,bf16]>
tensor<[1,960,32,32,bf16]>
tensor<[1,960,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,960,64,64,bf16]>
tensor<[1,960,64,64,bf16]>
tensor<[1,960,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.multiplytensor<[5,ui32]>
tensor<[5,ui32]>
tensor<[5,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,768,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.multiplytensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan

ttnn.ne

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.netensor<[1,10,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.netensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.netensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.netensor<[8,2,ui32]>
tensor<[8,2,ui32]>
tensor<[8,2,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan

ttnn.neg

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.negtensor<[1,12,1,64,bf16]>
tensor<[1,12,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,16,16,bf16]>
tensor<[1,1,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,7,32,bf16]>
tensor<[1,1,7,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,24,32,64,bf16]>
tensor<[1,24,32,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,24,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,28,13,64,bf16]>
tensor<[1,28,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,28,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,2,12,64,bf16]>
tensor<[1,2,12,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,2,1,64,bf16]>
tensor<[1,2,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,32,32,64,bf16]>
tensor<[1,32,32,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,4,13,64,bf16]>
tensor<[1,4,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,4,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,5,16,16,bf16]>
tensor<[1,5,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,5,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,71,7,32,bf16]>
tensor<[1,71,7,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,71,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,8,32,64,bf16]>
tensor<[1,8,32,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[3072,16,f32]>
tensor<[3072,16,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[3072,16,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.negtensor<[1,1,10,10,bf16]>
tensor<[1,1,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,12,12,bf16]>
tensor<[1,1,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,14,14,bf16]>
tensor<[1,1,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,16,16,bf16]>
tensor<[1,1,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,201,bf16]>
tensor<[1,1,1,201,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,2048,bf16]>
tensor<[1,1,1,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,256,256,bf16]>
tensor<[1,1,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,25,25,bf16]>
tensor<[1,1,25,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,6,6,bf16]>
tensor<[1,1,6,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,7,7,bf16]>
tensor<[1,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[1,1,9,9,bf16]>
tensor<[1,1,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[2,1,1,13,f32]>
tensor<[2,1,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[2,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.negtensor<[2,1,7,7,bf16]>
tensor<[2,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[4,1,1,13,f32]>
tensor<[4,1,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[4,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.negtensor<[16,49,49,bf16]>
tensor<[16,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[16,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.negtensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan

ttnn.pad

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.padtensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')memory_config: #ttnn.memory_config<#dram, <<545x12>>, >
padding: array<i32: 0, 0, 0, 4, 0, 4, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.padtensor<[1,144,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<680x5>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,144,151,151,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21744 + d1 * 151 + d2, d3), memory_config: (680, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,144,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<860x6>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,144,191,191,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27504 + d1 * 191 + d2, d3), memory_config: (860, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<266x2>>, >
padding: array<i32: 0, 0, 0, 0, 1, 2, 1, 2>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,144,59,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8496 + d1 * 59 + d2, d3), memory_config: (266, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<284x2>>, >
padding: array<i32: 0, 0, 0, 0, 1, 2, 1, 2>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,144,63,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9072 + d1 * 63 + d2, d3), memory_config: (284, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<311x3>>, >
padding: array<i32: 0, 0, 0, 0, 2, 2, 2, 2>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,144,69,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9936 + d1 * 69 + d2, d3), memory_config: (311, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<7x16>>, >
padding: array<i32: 0, 0, 0, 0, 0, 0, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,16,16,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')memory_config: #ttnn.memory_config<#dram, <<18x48>>, >
padding: array<i32: 0, 0, 0, 8, 0, 8, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.padtensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<474x3>>, >
padding: array<i32: 0, 0, 0, 0, 2, 2, 2, 2>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,192,79,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15168 + d1 * 79 + d2, d3), memory_config: (474, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<594x4>>, >
padding: array<i32: 0, 0, 0, 0, 2, 2, 2, 2>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,192,99,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19008 + d1 * 99 + d2, d3), memory_config: (594, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<218x1>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,240,29,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6960 + d1 * 29 + d2, d3), memory_config: (218, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<233x1>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,240,31,31,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7440 + d1 * 31 + d2, d3), memory_config: (233, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')memory_config: #ttnn.memory_config<#dram, <<2178x6>>, >
padding: array<i32: 0, 0, 0, 8, 0, 8, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.padtensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<315x2>>, >
padding: array<i32: 0, 0, 0, 0, 1, 1, 1, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,288,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 35 + d2, d3), memory_config: (315, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<351x2>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,288,39,39,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 39 + d2, d3), memory_config: (351, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<25x8>>, >
padding: array<i32: 0, 0, 0, 0, 0, 0, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')memory_config: #ttnn.memory_config<#dram, <<41x48>>, >
padding: array<i32: 0, 0, 0, 4, 0, 4, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.padtensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')memory_config: #ttnn.memory_config<#dram, <<41x24>>, >
padding: array<i32: 0, 0, 0, 4, 0, 4, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.padtensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<515x2>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,336,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16464 + d1 * 49 + d2, d3), memory_config: (515, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<22x8>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,3,225,225,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 675 + d1 * 225 + d2, d3), memory_config: (22, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,3,240,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 * 240 + d2, d3), memory_config: (23, 8, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<23x8>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,3,241,241,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 723 + d1 * 241 + d2, d3), memory_config: (23, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,3,260,260,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 780 + d1 * 260 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<25x9>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,3,261,261,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 783 + d1 * 261 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,3,300,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 300 + d2, d3), memory_config: (29, 10, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<29x10>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,3,301,301,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 903 + d1 * 301 + d2, d3), memory_config: (29, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,3,380,380,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1140 + d1 * 380 + d2, d3), memory_config: (36, 12, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<36x12>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,3,381,381,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1143 + d1 * 381 + d2, d3), memory_config: (36, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<98x4>>, >
padding: array<i32: 0, 0, 0, 0, 0, 0, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')memory_config: #ttnn.memory_config<#dram, <<162x12>>, >
padding: array<i32: 0, 0, 0, 8, 0, 8, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.padtensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')memory_config: #ttnn.memory_config<#dram, <<162x24>>, >
padding: array<i32: 0, 0, 0, 8, 0, 8, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.padtensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<357x1>>, >
padding: array<i32: 0, 0, 0, 0, 1, 2, 1, 2>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,672,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 17 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<399x1>>, >
padding: array<i32: 0, 0, 0, 0, 2, 2, 2, 2>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,672,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 19 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<473x1>>, >
padding: array<i32: 0, 0, 0, 0, 2, 2, 2, 2>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,720,21,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15120 + d1 * 21 + d2, d3), memory_config: (473, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<2x32>>, >
padding: array<i32: 0, 0, 0, 0, 0, 0, 0, 0>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<587x1>>, >
padding: array<i32: 0, 0, 0, 0, 2, 2, 2, 2>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,816,23,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18768 + d1 * 23 + d2, d3), memory_config: (587, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<810x1>>, >
padding: array<i32: 0, 0, 0, 0, 1, 2, 1, 2>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,960,27,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25920 + d1 * 27 + d2, d3), memory_config: (810, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,96,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<339x4>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,96,113,113,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10848 + d1 * 113 + d2, d3), memory_config: (339, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,96,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<363x4>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,96,121,121,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11616 + d1 * 121 + d2, d3), memory_config: (363, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.padtensor<[1,96,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')memory_config: #ttnn.memory_config<#dram, <<393x5>>, >
padding: array<i32: 0, 0, 0, 0, 0, 1, 0, 1>
use_multicore: True
value: 0.000000e+00 : f32
tensor<[1,96,131,131,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12576 + d1 * 131 + d2, d3), memory_config: (393, 5, 'tile<32x32, bf16>', 'dram')nannan

ttnn.permute

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.permutetensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 131072 + d1 * 128 + d2, d3), memory_config: (4096, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,255,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17408 + d1 * 17 + d2, d3), memory_config: (544, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17408 + d1 * 17 + d2, d3), memory_config: (544, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17408 + d1 * 17 + d2, d3), memory_config: (544, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17408 + d1 * 17 + d2, d3), memory_config: (544, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,384,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,23,40,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,45,80,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,512,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 524288 + d1 * 512 + d2, d3), memory_config: (16384, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,512,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,512,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 131072 + d1 * 512 + d2, d3), memory_config: (4096, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,102,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5712 + d1 * 56 + d2, d3), memory_config: (179, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,102,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1056,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1056,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 33, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1056,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1056,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 33, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1072,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7504 + d1 * 7 + d2, d3), memory_config: (235, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 34, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,462,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,462,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1088,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 34, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1088,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 34, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1088,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1088,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 34, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 35, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1120,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 35, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,224,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,336,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,15,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,15,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,112,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,24,24,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1152,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,116,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 37, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 37, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,118,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3304 + d1 * 28 + d2, d3), memory_config: (104, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,118,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1216,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1216,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 38, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1216,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1216,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 38, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,122,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3416 + d1 * 28 + d2, d3), memory_config: (107, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,122,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,46,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1248,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1248,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,9,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,208,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,9,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,352,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,124,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 56 + d2, d3), memory_config: (217, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,124,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38400 + d1 * 30 + d2, d3), memory_config: (1200, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,40,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,40,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38400 + d1 * 30 + d2, d3), memory_config: (1200, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 120 + d2, d3), memory_config: (480, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,120,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,180,320,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1,1,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,546,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,128,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 224 + d2, d3), memory_config: (896, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,19,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,38,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,2,2,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,128,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 30 + d2, d3), memory_config: (120, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,40,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,2,2,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,5,5,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,20,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 15 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,255,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,12,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1312,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1312,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 41, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1312,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1312,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 41, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 79, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2520,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 79, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1344,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1344,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,136,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1376,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1376,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 43, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1376,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1376,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 43, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,232,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 12, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,384,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 116, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3712,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 116, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1392,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1408,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1408,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1408,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1408,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,142,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7952 + d1 * 56 + d2, d3), memory_config: (249, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,142,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,68,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1440,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1440,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 45, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1440,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 45, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1440,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 45, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,288,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,151,151,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21744 + d1 * 151 + d2, d3), memory_config: (680, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,151,151,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22801 + d1 * 151 + d2, d3), memory_config: (713, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,191,191,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27504 + d1 * 191 + d2, d3), memory_config: (860, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,191,191,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36481 + d1 * 191 + d2, d3), memory_config: (1141, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,95,95,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,30,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,33,33,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,33,33,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,48,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,59,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8496 + d1 * 59 + d2, d3), memory_config: (266, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,59,59,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3481 + d1 * 59 + d2, d3), memory_config: (109, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,60,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,60,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,60,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,60,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,63,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9072 + d1 * 63 + d2, d3), memory_config: (284, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,63,63,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3969 + d1 * 63 + d2, d3), memory_config: (125, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,30,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,65,65,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,65,65,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,65,65,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,65,65,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,69,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9936 + d1 * 69 + d2, d3), memory_config: (311, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,69,69,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4761 + d1 * 69 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,33,33,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,18,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,36,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,144,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,95,95,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,95,95,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1472,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1472,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 46, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1472,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1472,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 46, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1504,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1504,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1504,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1504,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,152,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4256 + d1 * 28 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,58,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1536,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1536,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1536,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 8 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1536,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 8 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,384,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1568,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1568,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 49, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1568,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1568,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 49, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,156,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 14 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,156,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1600,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1600,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 50, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1600,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1600,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 50, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,24,24,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 32 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 16 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 32 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 3 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3,3,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11680 + d1 * 73 + d2, d3), memory_config: (365, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,73,73,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,272,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 14, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,448,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1632,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1632,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1664,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1664,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 52, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1664,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1664,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 52, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,168,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1696,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 53, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1696,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 53, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,8,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,120,120,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,120,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,130,130,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,130,130,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,48,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,4,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,160,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,224,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1728,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 54, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1728,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 54, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,172,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4816 + d1 * 28 + d2, d3), memory_config: (151, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,172,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,46,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1760,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1760,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 55, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1760,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1760,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 55, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1792,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,1792,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 56, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 28, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1792,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1792,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 56, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1824,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1824,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 57, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.permutetensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1856,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1856,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 58, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (162, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,185,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1888,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,1888,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 59, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1920,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 60, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1920,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 60, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1920,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 60, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1920,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 60, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,224,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,35,35,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,35,35,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,224,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,48,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,48,48,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,48,48,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,56,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,71,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13632 + d1 * 71 + d2, d3), memory_config: (426, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,71,71,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (158, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,35,35,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,79,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15168 + d1 * 79 + d2, d3), memory_config: (474, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,79,79,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6241 + d1 * 79 + d2, d3), memory_config: (196, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,384,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,95,95,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,95,95,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,95,95,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,95,95,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,99,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19008 + d1 * 99 + d2, d3), memory_config: (594, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,99,99,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9801 + d1 * 99 + d2, d3), memory_config: (307, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,48,48,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,196,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,196,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 28 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 28 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,26,26,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 26 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,26,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 15 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,20,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,20,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 15 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,23,40,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,23,40,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5888 + d1 * 23 + d2, d3), memory_config: (184, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,23,40,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,208,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,9,9,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,20,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,218,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6104 + d1 * 28 + d2, d3), memory_config: (191, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,218,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,224,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,35,35,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,224,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,224,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,232,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,232,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 22, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,696,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,236,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3304 + d1 * 14 + d2, d3), memory_config: (104, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,236,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,15,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,15,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,29,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6960 + d1 * 29 + d2, d3), memory_config: (218, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,29,29,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 841 + d1 * 29 + d2, d3), memory_config: (27, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,30,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,30,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,30,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,31,31,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7440 + d1 * 31 + d2, d3), memory_config: (233, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,31,31,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 961 + d1 * 31 + d2, d3), memory_config: (31, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,15,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,40,40,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 8, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,24,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,150,150,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,150,150,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,190,190,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,190,190,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,14,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,36,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,60,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,60,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,65,65,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,65,65,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,2520,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 79, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 79, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 79, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 79, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2560,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2560,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2560,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2560,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,5,5,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 112 + d2, d3), memory_config: (896, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 120 + d2, d3), memory_config: (960, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,120,160,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,160,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 120 + d2, d3), memory_config: (960, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,150,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 128 + d2, d3), memory_config: (600, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,180,320,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,180,320,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 180 + d2, d3), memory_config: (720, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,180,320,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,180,320,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,2,2,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 2 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,2,2,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,546,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 2 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,2,2,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,255,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,3,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 3 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,3,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,546,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1638 + d1 * 3 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,512,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 131072 + d1 * 512 + d2, d3), memory_config: (4096, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,512,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,512,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 524288 + d1 * 512 + d2, d3), memory_config: (16384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,5,5,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,255,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,90,160,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 45 + d2, d3), memory_config: (360, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,262,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7336 + d1 * 28 + d2, d3), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,262,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,272,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,12,12,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,272,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,276,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7728 + d1 * 28 + d2, d3), memory_config: (242, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,276,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,288,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,288,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,88,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,288,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,288,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,33,33,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,33,33,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,33,33,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,33,33,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,48,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,288,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 35 + d2, d3), memory_config: (315, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,35,35,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,288,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,48,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,288,39,39,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 39 + d2, d3), memory_config: (351, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,39,39,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1521 + d1 * 39 + d2, d3), memory_config: (48, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,288,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,296,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 28 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,296,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,134,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,134,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,304,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4256 + d1 * 14 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,304,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,116,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,10,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,13,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,13,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,11,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,11,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,14,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,12,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,12,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,15,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,13,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,13,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,16,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 16 + d2, d3), memory_config: (1536, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,14,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,17,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52224 + d1 * 17 + d2, d3), memory_config: (1632, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,15,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,18,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 55296 + d1 * 18 + d2, d3), memory_config: (1728, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,6,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,6,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,7,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,10,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,11,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,11,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,9,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,12,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,310,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8680 + d1 * 28 + d2, d3), memory_config: (272, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,310,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,58,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,20,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 15 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,20,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 15 + d2, d3), memory_config: (240, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,4,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 64 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,328,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 28 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,328,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,232,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,336,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,120,120,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,120,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,120,120,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,120,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,120,160,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,160,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,130,130,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,130,130,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,130,130,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,130,130,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,147,147,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (676, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,147,147,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,149,149,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,149,149,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 149 + d2, d3), memory_config: (694, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,147,147,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (676, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,150,150,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,190,190,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,190,190,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,190,190,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,190,190,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,256,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,26,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 * 26 + d2, d3), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,26,26,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 26 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,40,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,40,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,512,512,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,80,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,80,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,75,75,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,95,95,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,95,95,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,336,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,336,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,336,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,336,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,24,24,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,48,48,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,48,48,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,48,48,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,48,48,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,56,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,336,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16464 + d1 * 49 + d2, d3), memory_config: (515, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,49,49,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2401 + d1 * 49 + d2, d3), memory_config: (76, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,336,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.permutetensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,352,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,352,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,352,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,9,9,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,9,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,360,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5040 + d1 * 14 + d2, d3), memory_config: (158, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,360,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,368,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 28 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,368,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,98,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,36,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3712,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 116, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 116, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,35,35,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,35,35,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,35,35,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,384,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,35,35,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,35,35,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,35,35,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 64 + d2, d3), memory_config: (768, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 14, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,448,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 1024 + d2, d3), memory_config: (96, 32, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1024,1024,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1048576 + d1 * 1024 + d2, d3), memory_config: (32768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,224,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 7 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,225,225,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 675 + d1 * 225 + d2, d3), memory_config: (22, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,225,225,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50625 + d1 * 225 + d2, d3), memory_config: (1583, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,241,241,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 723 + d1 * 241 + d2, d3), memory_config: (23, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,241,241,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58081 + d1 * 241 + d2, d3), memory_config: (1816, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,120,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 256 + d2, d3), memory_config: (24, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,256,256,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,261,261,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 783 + d1 * 261 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,261,261,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68121 + d1 * 261 + d2, d3), memory_config: (2129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,130,130,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,299,299,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 897 + d1 * 299 + d2, d3), memory_config: (29, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,299,299,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 89401 + d1 * 299 + d2, d3), memory_config: (2794, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,149,149,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 149 + d2, d3), memory_config: (694, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,149,149,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,299,299,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 897 + d1 * 299 + d2, d3), memory_config: (29, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,299,299,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 89401 + d1 * 299 + d2, d3), memory_config: (2794, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,301,301,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 903 + d1 * 301 + d2, d3), memory_config: (29, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,301,301,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90601 + d1 * 301 + d2, d3), memory_config: (2832, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,320,320,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 320 + d2, d3), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,320,320,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102400 + d1 * 320 + d2, d3), memory_config: (3200, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 32 + d2, d3), memory_config: (3, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,128,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,32,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,381,381,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1143 + d1 * 381 + d2, d3), memory_config: (36, 12, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,381,381,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 145161 + d1 * 381 + d2, d3), memory_config: (4537, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,190,190,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,384,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 384 + d2, d3), memory_config: (36, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,384,512,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196608 + d1 * 512 + d2, d3), memory_config: (6144, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,16,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,12,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 12 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 480 + d2, d3), memory_config: (45, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,480,640,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (9600, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 512 + d2, d3), memory_config: (48, 16, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,512,512,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 512 + d2, d3), memory_config: (48, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,512,512,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,512,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 512 + d2, d3), memory_config: (48, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,512,512,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 512 + d2, d3), memory_config: (48, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,512,512,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,512,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 512 + d2, d3), memory_config: (48, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,512,672,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 344064 + d1 * 672 + d2, d3), memory_config: (10752, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,42,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 42 + d2, d3), memory_config: (42, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,32,42,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 32 + d2, d3), memory_config: (192, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,518,518,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1554 + d1 * 518 + d2, d3), memory_config: (49, 17, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,518,518,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 268324 + d1 * 518 + d2, d3), memory_config: (8386, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,37,37,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1369 + d1 * 37 + d2, d3), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,37,37,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47360 + d1 * 37 + d2, d3), memory_config: (1480, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,720,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2160 + d1 * 720 + d2, d3), memory_config: (68, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,720,1280,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 921600 + d1 * 1280 + d2, d3), memory_config: (28800, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,360,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 640 + d2, d3), memory_config: (7200, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,60,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,40,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,30,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,40,40,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 8, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,40,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,14,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,416,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,416,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 13, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,416,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,416,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 13, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,428,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5992 + d1 * 14 + d2, d3), memory_config: (188, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,428,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,116,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,448,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,12,12,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,448,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,448,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,448,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 56 + d2, d3), memory_config: (784, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,448,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,466,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13048 + d1 * 28 + d2, d3), memory_config: (408, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,466,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,168,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,46,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,10,10,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 10 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,10,10,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,10,10,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 18, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,546,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5460 + d1 * 10 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,56,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,15,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,15,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,480,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,48,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 112 + d2, d3), memory_config: (168, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,48,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,48,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,33,33,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,33,33,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,48,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,48,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,12,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,48,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 64 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 15 + d2, d3), memory_config: (240, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,20,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,255,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,1000,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1000,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1000 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,23,40,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47104 + d1 * 23 + d2, d3), memory_config: (1472, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,19,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 532 + d1 * 28 + d2, d3), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,38,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1064 + d1 * 28 + d2, d3), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,255,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 45 + d2, d3), memory_config: (720, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,45,80,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11776 + d1 * 23 + d2, d3), memory_config: (368, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,5,5,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,5,5,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 5 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,5,5,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,546,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2730 + d1 * 5 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,512,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 60 + d2, d3), memory_config: (960, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,80,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,80,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 60 + d2, d3), memory_config: (960, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,45,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 45 + d2, d3), memory_config: (1440, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 90 + d2, d3), memory_config: (360, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 90 + d2, d3), memory_config: (1440, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,90,160,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,90,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 90 + d2, d3), memory_config: (720, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,528,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 14 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,528,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 14 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,528,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 14 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,528,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 14 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,88,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,544,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,544,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,196,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,196,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,54,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3024 + d1 * 56 + d2, d3), memory_config: (95, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,56,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,48,48,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,48,48,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 18, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,576,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,136,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,576,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,58,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,608,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,608,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 19, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,60,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,62,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1736 + d1 * 28 + d2, d3), memory_config: (55, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 7 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,160,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,147,147,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,73,73,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,160,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,80,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,180,320,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 180 + d2, d3), memory_config: (1440, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,224,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,2,2,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,30,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,40,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,35,35,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,480,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (9600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,640,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (9600, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,480,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (9600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (9600, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,14,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,80,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 32 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 16 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,71,71,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (158, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,71,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,80,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,654,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9156 + d1 * 14 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,654,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,56,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,15,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,15,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,15,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,15,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 17 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 19 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,168,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 20 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 18, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,546,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10920 + d1 * 20 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,10,10,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 21, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.permutetensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 42, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1344,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 44, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1392,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,696,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,704,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,704,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,120,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,720,21,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15120 + d1 * 21 + d2, d3), memory_config: (473, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,21,21,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 441 + d1 * 21 + d2, d3), memory_config: (14, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,9,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 23, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,720,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,720,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,9,9,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,9,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,208,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,20,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,40,40,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,12,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,40,40,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,736,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,736,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,736,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 28 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,736,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,740,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10360 + d1 * 14 + d2, d3), memory_config: (324, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,740,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,334,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,334,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,257,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 197376 + d1 * 257 + d2, d3), memory_config: (6168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,257,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,257,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,27,257,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6939 + d1 * 257 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,257,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 197376 + d1 * 257 + d2, d3), memory_config: (6168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,257,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,257,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,257,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 197376 + d1 * 257 + d2, d3), memory_config: (6168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,3000,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304000 + d1 * 3000 + d2, d3), memory_config: (72000, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3000,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (94, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1500,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 + d2, d3), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,1500,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152000 + d1 * 1500 + d2, d3), memory_config: (36000, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 7 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,224,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,3072,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,782,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5474 + d1 * 7 + d2, d3), memory_config: (172, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,782,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 25, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,78,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4368 + d1 * 56 + d2, d3), memory_config: (137, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,800,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,800,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 25, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,800,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5600 + d1 * 7 + d2, d3), memory_config: (175, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,800,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 25, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,272,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,100,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,100,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,92,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,15,15,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,80,3000,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240000 + d1 * 3000 + d2, d3), memory_config: (7500, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3000,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (94, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3000,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (94, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,768,3000,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304000 + d1 * 3000 + d2, d3), memory_config: (72000, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,80,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,816,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,10,10,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,232,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,136,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,816,23,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18768 + d1 * 23 + d2, d3), memory_config: (587, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,23,23,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 529 + d1 * 23 + d2, d3), memory_config: (17, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,10,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 26, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,816,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,832,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,832,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,832,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,832,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,832,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,832,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,384,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,832,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,48,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,864,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,864,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 27, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,88,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,17,17,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 28, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 28, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,896,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 28, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,8,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,928,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,928,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,928,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,928,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,92,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,92,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,94,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2632 + d1 * 28 + d2, d3), memory_config: (83, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,12,12,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,272,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,240,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,24,24,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,24,24,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,24,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,27,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25920 + d1 * 27 + d2, d3), memory_config: (810, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,27,27,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 729 + d1 * 27 + d2, d3), memory_config: (23, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 30, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,960,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,80,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,113,113,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10848 + d1 * 113 + d2, d3), memory_config: (339, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,113,113,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12769 + d1 * 113 + d2, d3), memory_config: (400, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,121,121,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11616 + d1 * 121 + d2, d3), memory_config: (363, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,121,121,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14641 + d1 * 121 + d2, d3), memory_config: (458, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,60,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,131,131,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12576 + d1 * 131 + d2, d3), memory_config: (393, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,131,131,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17161 + d1 * 131 + d2, d3), memory_config: (537, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,65,65,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,208,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,19,19,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,96,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,60,60,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,60,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,96,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,65,65,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,65,65,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,24,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,98,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,992,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,992,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 31, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,992,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,7,7,992,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 31, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,16,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,71,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13632 + d1 * 71 + d2, d3), memory_config: (426, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,71,71,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (158, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,35,35,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,192,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 35 + d2, d3), memory_config: (420, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,35,35,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,17,17,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,384,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 14 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,4,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 7 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,147,147,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 24 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,24,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 12 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,360,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 360 + d2, d3), memory_config: (720, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,360,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 640 + d2, d3), memory_config: (7200, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,180,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 180 + d2, d3), memory_config: (360, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,14,14,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,832,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 7 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[121,144,3,6,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2592 + d1 * 18 + d2 * 6 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[16,49,3,8,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1176 + d1 * 24 + d2 * 8 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,160,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (5, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,5,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 5 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,5,1024,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,11,11,12,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,11,12,11,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 132 + d3 * 12 + d4, d5), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,11,11,12,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,11,12,11,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 132 + d3 * 12 + d4, d5), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,11,12,11,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 132 + d3 * 12 + d4, d5), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,11,11,12,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,11,12,11,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 132 + d3 * 12 + d4, d5), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,11,11,12,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,320,1200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (10, 38, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1200,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 5 + d2, d3), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,5,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,1369,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1280 + d1, d2), memory_config: (40, 43, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,1369,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1369 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (4, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,300,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,197,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 12 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,201,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,201,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 12 + d2, d3), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,45,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,45,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 12 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1445,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 3 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,3,1445,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,20,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,512,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 15 + d2, d3), memory_config: (240, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (5, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16384,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16384,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,32,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,1370,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 2, 0, 1, 3>tensor<[1370,1,16,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,197,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 16 + d2, d3), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,32,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,32,16,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19200,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,64,19200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 600, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,197,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 12 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,197,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 16 + d2, d3), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16384,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,19200,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 49 + d1 * 49 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,1,7,1,7,1024,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 49 + d1 * 49 + d2 * 7 + d3 * 7 + d4, d5), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,768,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 768 + d2, d3), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 3, 0, 2, 1>tensor<[257,1,768,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 768 + d2, d3), memory_config: (6168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,7,1,7,1024,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 49 + d1 * 49 + d2 * 7 + d3 * 7 + d4, d5), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,1,1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 49 + d1 * 49 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,201,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 12 + d2, d3), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,201,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 8 + d2, d3), memory_config: (512, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,2048,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 8 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,2048,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,22,12,22,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 69696 + d1 * 3168 + d2 * 264 + d3 * 12 + d4, d5), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,22,22,12,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 69696 + d1 * 3168 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,22,22,12,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 69696 + d1 * 3168 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,22,12,22,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 69696 + d1 * 3168 + d2 * 264 + d3 * 12 + d4, d5), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,256,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,2,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,2,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 256 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,512,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,5,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,5,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 256 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,256,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,8,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,256,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 29, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 2, 0, 1>tensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,257,3,12,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 9252 + d1 * 36 + d2 * 12 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,257,768,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 197376 + d1 * 768 + d2, d3), memory_config: (6168, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 2, 1>tensor<[1,1,768,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 768 + d2, d3), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,25,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 12 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,25,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,27,1,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 3, 0, 2>tensor<[27,257,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,27,257,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6939 + d1 * 257 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,27,1,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2,12,2,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 576 + d1 * 288 + d2 * 24 + d3 * 12 + d4, d5), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,2,2,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 576 + d1 * 288 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,2,2,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 576 + d1 * 288 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,2,12,2,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 576 + d1 * 288 + d2 * 24 + d3 * 12 + d4, d5), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,2,2,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 196 + d1 * 98 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,2,7,2,7,512,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 196 + d1 * 98 + d2 * 14 + d3 * 7 + d4, d5), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2,4096,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,4096,2,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 2 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,4800,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 2 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2,7,2,7,512,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 196 + d1 * 98 + d2 * 14 + d3 * 7 + d4, d5), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,2,2,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 196 + d1 * 98 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,300,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 300 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,300,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 2 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,2,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 300 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,300,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 * 5 + d2, d3), memory_config: (47, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,5,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 * 300 + d2, d3), memory_config: (47, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,300,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 8 + d2, d3), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,300,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,160,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 32 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,12,3,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 36 + d3 * 12 + d4, d5), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,3,3,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,12,3,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 36 + d3 * 12 + d4, d5), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,3,3,12,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,1445,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1445,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 3 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,16,16,16,16,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 256 + d3 * 16 + d4, d5), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 4, 3, 5, 1>tensor<[1,16,16,16,16,3,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 65536 + d1 * 4096 + d2 * 256 + d3 * 16 + d4, d5), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,3,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,3,12,3,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 36 + d3 * 12 + d4, d5), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,3,12,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,3,12,3,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 36 + d3 * 12 + d4, d5), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,85,16,16,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 4080 + d1 * 1360 + d2 * 16 + d3, d4), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 4, 2>tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,85,32,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 8160 + d1 * 2720 + d2 * 32 + d3, d4), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 4, 2>tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,85,64,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16320 + d1 * 5440 + d2 * 64 + d3, d4), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 4, 2>tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4096,2,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 2 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,2,4096,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,64,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,45,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 12 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,45,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,128,4800,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (4, 150, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4800,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 2 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,2,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,49,3,32,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 4704 + d1 * 96 + d2 * 32 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4,4,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 784 + d1 * 196 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,4,7,4,7,256,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 784 + d1 * 196 + d2 * 28 + d3 * 7 + d4, d5), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4,7,4,7,256,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 784 + d1 * 196 + d2 * 28 + d3 * 7 + d4, d5), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,4,4,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 784 + d1 * 196 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,5,1024,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1024,5,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 5 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,5,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1200,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 5 + d2, d3), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 3, 1>tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,12,6,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 72 + d3 * 12 + d4, d5), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,6,6,12,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,12,6,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 72 + d3 * 12 + d4, d5), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,6,6,12,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,4,10,10,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 240 + d1 * 40 + d2 * 10 + d3, d4), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,10,10,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 600 + d1 * 60 + d2 * 6 + d3, d4), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,4,1,1,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 24 + d1 * 4 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,1,1,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6 + d1 * 6 + d2 * 6 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,4,20,20,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 480 + d1 * 80 + d2 * 20 + d3, d4), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,20,20,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2400 + d1 * 120 + d2 * 6 + d3, d4), memory_config: (75, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,4,2,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 48 + d1 * 8 + d2 * 2 + d3, d4), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,2,2,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 24 + d1 * 12 + d2 * 6 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,4,3,3,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 72 + d1 * 12 + d2 * 3 + d3, d4), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,3,3,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 54 + d1 * 18 + d2 * 6 + d3, d4), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,4,5,5,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 120 + d1 * 20 + d2 * 5 + d3, d4), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,5,5,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 150 + d1 * 30 + d2 * 6 + d3, d4), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,6,12,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,6,12,6,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 72 + d3 * 12 + d4, d5), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,6,12,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,6,12,6,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 72 + d3 * 12 + d4, d5), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,91,10,10,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 5460 + d1 * 910 + d2 * 10 + d3, d4), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,10,10,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 600 + d1 * 60 + d2 * 6 + d3, d4), memory_config: (19, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,91,1,1,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 546 + d1 * 91 + d2 + d3, d4), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,1,1,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6 + d1 * 6 + d2 * 6 + d3, d4), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,91,20,20,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 10920 + d1 * 1820 + d2 * 20 + d3, d4), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,20,20,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2400 + d1 * 120 + d2 * 6 + d3, d4), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,91,2,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1092 + d1 * 182 + d2 * 2 + d3, d4), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,2,2,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 24 + d1 * 12 + d2 * 6 + d3, d4), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,91,3,3,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1638 + d1 * 273 + d2 * 3 + d3, d4), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,3,3,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 54 + d1 * 18 + d2 * 6 + d3, d4), memory_config: (2, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,6,91,5,5,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2730 + d1 * 455 + d2 * 5 + d3, d4), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 3, 4, 1, 2>tensor<[1,5,5,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 150 + d1 * 30 + d2 * 6 + d3, d4), memory_config: (5, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,7,71,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 71 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,2048,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,2048,8,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 8 + d2, d3), memory_config: (512, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,256,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,256,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,256,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,300,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 8 + d2, d3), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,7,8,7,128,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 3136 + d1 * 392 + d2 * 56 + d3 * 7 + d4, d5), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,8,8,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 3136 + d1 * 392 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 3, 1, 2>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 3136 + d1 * 392 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2, 4, 5>tensor<[1,8,7,8,7,128,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 3136 + d1 * 392 + d2 * 56 + d3 * 7 + d4, d5), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 16 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,9,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 16 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 64 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,64,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[27,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 2, 0, 3, 1>tensor<[1,27,768,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20736 + d1 * 768 + d2, d3), memory_config: (648, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[2,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[2,128,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[2,7,2,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 2 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[2,2,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[36,144,3,12,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 5184 + d1 * 36 + d2 * 12 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[36,144,3,24,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 10368 + d1 * 72 + d2 * 24 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[484,144,3,6,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2592 + d1 * 18 + d2 * 6 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[4,144,3,48,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 20736 + d1 * 144 + d2 * 48 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[4,49,3,16,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2352 + d1 * 48 + d2 * 16 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[4,7,4,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 4 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[4,4,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[64,49,3,4,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 588 + d1 * 12 + d2 * 4 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[8,7,8,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 8 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[8,8,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[9,144,3,24,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 10368 + d1 * 72 + d2 * 24 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[9,144,3,48,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 20736 + d1 * 144 + d2 * 48 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 2, 0, 3, 1, 4>tensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1024,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1024,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1024,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[3072,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1024,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[4096,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1024,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[512,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[11008,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (344, 128, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[4096,11008,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 344, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[121,12,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 32 + d2, d3), memory_config: (1452, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[121,144,12,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 12 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[121,6,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 32 + d2, d3), memory_config: (726, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[121,144,6,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 6 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[128256,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4008, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[3072,128256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 4008, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[128,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[3072,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1370,16,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0, 2>tensor<[16,1370,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1370,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0, 2>tensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[151936,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4748, 48, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1536,151936,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 4748, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1536,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 48, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1536,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1536,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[3072,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1536,8960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 280, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[8960,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (280, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[16,32,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[16,96,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 96 + d1, d2), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[16,8,32,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[16,49,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 8 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[18944,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (592, 112, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[3584,18944,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 592, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,196,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,196,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,640,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 640 + d1, d2), memory_config: (20, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1024,8,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 8 + d2, d3), memory_config: (256, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,1024,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 16 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,10,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,11,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,1280,1200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1280 + d1, d2), memory_config: (40, 38, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,120,14,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,120,28,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,1200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1280 + d1, d2), memory_config: (40, 38, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1280,32,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,8,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1280,16,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (4, 512, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,128,64,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,128,4800,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (4, 150, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,10,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,10,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 132 + d1 * 11 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,14,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,14,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,1500,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,1500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1500,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 12 + d2, d3), memory_config: (563, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,15,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,16,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,17,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,18,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,197,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,197,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 12 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,19,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,201,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,20,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 20 + d2, d3), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 20 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,21,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 21 + d2, d3), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,22,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 264 + d1 * 22 + d2, d3), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,23,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 276 + d1 * 23 + d2, d3), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,24,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 24 + d2, d3), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,257,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 12 + d2, d3), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,25,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,25,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,25,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 12 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,26,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 312 + d1 * 26 + d2, d3), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,27,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 324 + d1 * 27 + d2, d3), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,28,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 28 + d2, d3), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.permutetensor<[1,12,29,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 * 29 + d2, d3), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,128,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,2,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 2 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,45,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,46,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 552 + d1 * 46 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,47,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 564 + d1 * 47 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,48,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 48 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,49,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 588 + d1 * 49 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,50,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,50,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,50,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,50,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 12 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,51,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 612 + d1 * 51 + d2, d3), memory_config: (20, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,52,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 624 + d1 * 52 + d2, d3), memory_config: (20, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,53,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 636 + d1 * 53 + d2, d3), memory_config: (20, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,54,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 648 + d1 * 54 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,55,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 660 + d1 * 55 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,56,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,57,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 684 + d1 * 57 + d2, d3), memory_config: (22, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,58,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 58 + d2, d3), memory_config: (22, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,59,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 708 + d1 * 59 + d2, d3), memory_config: (23, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,60,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 * 60 + d2, d3), memory_config: (23, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,61,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 732 + d1 * 61 + d2, d3), memory_config: (23, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,62,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 744 + d1 * 62 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,63,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 756 + d1 * 63 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,65,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 780 + d1 * 65 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,66,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 66 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,67,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 804 + d1 * 67 + d2, d3), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,68,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 * 68 + d2, d3), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,69,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 828 + d1 * 69 + d2, d3), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,70,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 840 + d1 * 70 + d2, d3), memory_config: (27, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,71,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 852 + d1 * 71 + d2, d3), memory_config: (27, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,72,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 72 + d2, d3), memory_config: (27, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,73,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 876 + d1 * 73 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,74,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 888 + d1 * 74 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,75,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 75 + d2, d3), memory_config: (29, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,76,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 912 + d1 * 76 + d2, d3), memory_config: (29, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,77,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 924 + d1 * 77 + d2, d3), memory_config: (29, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,78,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 936 + d1 * 78 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,79,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 948 + d1 * 79 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,7,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 80 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,81,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 972 + d1 * 81 + d2, d3), memory_config: (31, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,82,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 984 + d1 * 82 + d2, d3), memory_config: (31, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,83,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 996 + d1 * 83 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,84,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 84 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,85,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1020 + d1 * 85 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,86,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1032 + d1 * 86 + d2, d3), memory_config: (33, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,87,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1044 + d1 * 87 + d2, d3), memory_config: (33, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,88,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 * 88 + d2, d3), memory_config: (33, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,89,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1068 + d1 * 89 + d2, d3), memory_config: (34, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,90,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 90 + d2, d3), memory_config: (34, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,91,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 91 + d2, d3), memory_config: (35, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,92,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1104 + d1 * 92 + d2, d3), memory_config: (35, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,93,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1116 + d1 * 93 + d2, d3), memory_config: (35, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,94,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1128 + d1 * 94 + d2, d3), memory_config: (36, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,95,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1140 + d1 * 95 + d2, d3), memory_config: (36, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,96,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 96 + d2, d3), memory_config: (36, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,97,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1164 + d1 * 97 + d2, d3), memory_config: (37, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,98,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1176 + d1 * 98 + d2, d3), memory_config: (37, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,99,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1188 + d1 * 99 + d2, d3), memory_config: (38, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,12,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,9,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,12,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,12,64,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0, 2>tensor<[1370,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1370,16,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 16 + d2, d3), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,1370,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1370,1,3,1280,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 4110 + d1 * 3 + d2 * 3 + d3, d4), memory_config: (129, 40, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 3, 1, 2, 0, 4>tensor<[3,1370,1,1,1280,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1370 + d1 + d2 + d3, d4), memory_config: (129, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,13,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 28 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,13,4,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 4 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,13,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1445,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 3 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,3,1445,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,14,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1500,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 12 + d2, d3), memory_config: (563, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,1500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1536,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 16 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1536,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 16 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1536,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 16 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1536,32,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 32 + d2, d3), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1536,64,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 64 + d2, d3), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1536,32,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 32 + d2, d3), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1536,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 64 + d2, d3), memory_config: (3072, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1536,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 64 + d2, d3), memory_config: (3072, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,15,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,6,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,160,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (5, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,128,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (4, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,192,16384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,10,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,10,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,10,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 16 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,11,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,11,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,1370,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,80,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,1370,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1370,16,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 16 + d2, d3), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,13,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,13,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,15,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,15,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,17,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,17,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,18,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,18,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,19,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,19,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,20,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,20,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,21,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,21,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,22,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,22,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,23,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,23,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,24,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,24,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,256,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,256,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 25 + d2, d3), memory_config: (13, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,26,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 * 26 + d2, d3), memory_config: (13, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,27,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 27 + d2, d3), memory_config: (14, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,28,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,29,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 464 + d1 * 29 + d2, d3), memory_config: (15, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,5,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,6,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,6,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,6,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,8,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,8,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,128,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,9,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,9,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 16 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,9,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 16 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,16,64,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,184,7,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,184,14,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,18,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,28,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,18,56,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,7,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,18,56,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,18,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,18,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,19200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 600, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,192,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,192,128,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 8, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,192,256,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,192,1344,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 42, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,1344,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1344 + d1, d2), memory_config: (42, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,192,16384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 512, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,192,65536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 2048, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,768,196,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,197,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 12 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,2,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 * 2 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 300 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1,64,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,384,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 384 + d2, d3), memory_config: (12, 16, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1,512,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 512 + d2, d3), memory_config: (16, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1,512,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 512 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1,12,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,6,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,1,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,1,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,1,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,200,7,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,200,14,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2048,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,240,14,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,240,28,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,24,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,24,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,32,24,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 24 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,256,128,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,256,32,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,19200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 600, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,256,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,256,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,256,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,256,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,768,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,25,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 12 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,25,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,28,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,28,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,13,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 28 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 256 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,2,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 32 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,2,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 300 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,2,64,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 64 + d2, d3), memory_config: (4, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,2048,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,320,1200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (10, 38, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,16,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,32,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,24,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 24 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,32,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,32,32,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,49,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 32 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,32,8,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 8 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,14,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,36,28,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,7,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,36,28,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,36,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,36,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,384,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 256 + d2, d3), memory_config: (3072, 8, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,384,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 256 + d2, d3), memory_config: (3072, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,384,256,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 256 + d2, d3), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,384,32,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 32 + d2, d3), memory_config: (384, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,384,64,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 64 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,384,128,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 128 + d2, d3), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,384,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 64 + d2, d3), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,384,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 64 + d2, d3), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 1024 + d2, d3), memory_config: (96, 32, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,3,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 1024 + d2, d3), memory_config: (96, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,1024,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 1024 + d2, d3), memory_config: (96, 16, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,3,512,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 512 + d2, d3), memory_config: (48, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,1445,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,3,64,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,3,1445,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1445,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 3 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,3,320,320,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 320 + d2, d3), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,3,320,320,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 320 + d2, d3), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4096,8,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 8 + d2, d3), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,4096,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,512,4800,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 150, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,7,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,480,14,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,50,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 12 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,50,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[512,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,512,4800,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 150, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,5,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 256 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,5,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 32 + d2, d3), memory_config: (5, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,5,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 * 300 + d2, d3), memory_config: (47, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,5,64,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 64 + d2, d3), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 640 + d1, d2), memory_config: (20, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,640,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,640,64,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,160,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,12,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,64,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,13,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,64,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,20,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 20 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,160,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,240,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 240 + d2, d3), memory_config: (480, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,19200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 600, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,64,20,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 20 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,30,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,240,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 240 + d2, d3), memory_config: (480, 10, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,320,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 320 + d2, d3), memory_config: (640, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,40,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 40 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,320,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 320 + d2, d3), memory_config: (640, 15, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,480,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,32,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,64,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,40,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 40 + d2, d3), memory_config: (80, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,60,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,80,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,80,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,120,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 8 + d2, d3), memory_config: (16, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,64,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,64,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,64,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,64,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,9,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 64 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,192,65536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 2048, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,672,7,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,672,14,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 10 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 66 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 * 13 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 14 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,15,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102 + d1 * 17 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 18 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 114 + d1 * 19 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 20 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 5 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,6,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 9 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,6,64,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,28,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,72,56,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,7,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,72,14,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,72,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,72,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 128 + d2, d3), memory_config: (3072, 4, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,768,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 128 + d2, d3), memory_config: (3072, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,768,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 128 + d2, d3), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,768,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,768,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 6, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,192,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,196,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,256,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,768,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,768,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,768,32,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,768,64,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 64 + d2, d3), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,768,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,49,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,7,71,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 71 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,1024,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,80,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,8,1024,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1024,8,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 8 + d2, d3), memory_config: (256, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,10,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 104 + d1 * 13 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 14 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 15 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 16 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 * 17 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 18 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 152 + d1 * 19 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,1,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,2048,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,32,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 20 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,256,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,160,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,8,256,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,256,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,4096,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,40,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,8,4096,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,4096,8,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 8 + d2, d3), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,64,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,8,64,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,64,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 8 + d2, d3), memory_config: (16, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,9,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 5, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,160,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,8,9,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,40,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,8,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,64,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,8,9,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 3, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,8,80,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,960,3,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[1,960,7,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,12,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 16 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,9,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 16 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 64 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,64,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 8 + d2, d3), memory_config: (3, 5, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,9,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,8,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,9,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[1,9,8,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 8 + d2, d3), memory_config: (3, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[1,8,9,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[256,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1536,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[2,12,13,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[2,13,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 12 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[2,12,13,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[2,12,64,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[2,13,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 12 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[2,12,13,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[2,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[3584,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[2,4,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')permutation: array<i64: 1, 0, 2>tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.permutetensor<[2,7,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[2,8,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[2,8,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[2,8,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[2,8,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[2,7,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[3072,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1024,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[3072,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[3072,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[3072,8192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 256, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[8192,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (256, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[3072,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[96,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[32000,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1000, 128, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[4096,32000,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 1000, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[3584,18944,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 592, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[18944,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (592, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[3584,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 112, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[3584,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[36,12,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 32 + d2, d3), memory_config: (432, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[36,144,12,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 12 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[36,24,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[36,144,24,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 24 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[4096,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1024,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[4096,11008,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 344, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[11008,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (344, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[4096,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 128, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[4096,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[484,6,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 32 + d2, d3), memory_config: (2904, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[484,144,6,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 6 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[4,13,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 16 + d2, d3), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[4,16,13,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[4,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[4,16,64,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[4,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[4,1,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[4,16,32,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (64, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[4,49,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 16 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[4,1,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[4,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[4,48,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 32 + d2, d3), memory_config: (192, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[4,144,48,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 48 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[50272,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1571, 16, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[512,50272,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[50280,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1572, 48, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1536,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[51200,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1600, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1024,51200,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 1600, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[512,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1024,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[512,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 112, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[3584,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[6144,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (192, 48, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1536,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[64,13,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[64,64,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[64,4,32,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 32 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[64,49,4,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 4 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[6,100,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[6,1,100,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[8192,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (256, 96, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[3072,8192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[8960,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (280, 48, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0>tensor<[1536,8960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[8,100,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[8,32,100,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[8,100,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0, 2>tensor<[100,8,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[8,920,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 0, 2, 1>tensor<[8,32,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (8, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[8,920,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0, 2>tensor<[920,8,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[920,8,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')permutation: array<i64: 1, 0, 2>tensor<[8,920,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.permutetensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[9,24,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (216, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[9,144,24,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 24 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 1, 3, 2>tensor<[9,48,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 32 + d2, d3), memory_config: (432, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.permutetensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')permutation: array<i64: 0, 2, 1, 3>tensor<[9,144,48,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 48 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan

ttnn.pow

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.powtensor<[1,10,1536,f32]>
tensor<[1,10,1536,f32]>
tensor<[1,10,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,10,512,f32]>
tensor<[1,10,512,f32]>
tensor<[1,10,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,11,1536,f32]>
tensor<[1,11,1536,f32]>
tensor<[1,11,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,12,1536,f32]>
tensor<[1,12,1536,f32]>
tensor<[1,12,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,13,1536,f32]>
tensor<[1,13,1536,f32]>
tensor<[1,13,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,13,3584,f32]>
tensor<[1,13,3584,f32]>
tensor<[1,13,3584,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,14,1536,f32]>
tensor<[1,14,1536,f32]>
tensor<[1,14,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,15,1536,f32]>
tensor<[1,15,1536,f32]>
tensor<[1,15,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,15,512,f32]>
tensor<[1,15,512,f32]>
tensor<[1,15,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,1,bf16]>
tensor<[1,1,bf16]>
tensor<[1,1,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,1,1536,f32]>
tensor<[1,1,1536,f32]>
tensor<[1,1,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,1,512,f32]>
tensor<[1,1,512,f32]>
tensor<[1,1,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,32,3072,f32]>
tensor<[1,32,3072,f32]>
tensor<[1,32,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,32,4096,f32]>
tensor<[1,32,4096,f32]>
tensor<[1,32,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
tensor<[1,3,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
tensor<[1,3,32,32,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
tensor<[1,3,64,64,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,512,bf16]>
tensor<[1,512,bf16]>
tensor<[1,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,6,1536,f32]>
tensor<[1,6,1536,f32]>
tensor<[1,6,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,7,1536,f32]>
tensor<[1,7,1536,f32]>
tensor<[1,7,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,8,1536,f32]>
tensor<[1,8,1536,f32]>
tensor<[1,8,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,9,1536,f32]>
tensor<[1,9,1536,f32]>
tensor<[1,9,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
tensor<[2,13,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.powtensor<[2,1,bf16]>
tensor<[2,1,bf16]>
tensor<[2,1,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.powtensor<[2,512,bf16]>
tensor<[2,512,bf16]>
tensor<[2,512,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan

ttnn.prod

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.prodtensor<[1,12,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1500,1500,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,25,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,50,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,50,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,12,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,12,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1370,1370,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1370,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 43, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,16,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,16,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,24,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,24,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,28,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,28,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,32,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,3,1445,1445,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,3,1445,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (1, 46, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,64,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,64,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,71,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,71,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 71 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,8,1024,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,8,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,8,1024,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,8,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,8,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,8,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,8,256,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,8,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,8,4096,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,8,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,8,4096,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,8,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,8,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[1,8,64,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[1,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[2,8,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[2,8,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.prodtensor<[4,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')all_dimensions: False
dim_arg: 3 : i64
keep_dim: False
tensor<[4,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan

ttnn.reshape

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,12,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 1 : i32]tensor<[1,12,12,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 1 : i32]tensor<[1,12,12,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 14 : i32, 1 : i32]tensor<[1,12,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 14 : i32, 1 : i32]tensor<[1,12,14,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 47, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1500 : i32, 1 : i32]tensor<[1,12,1500,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 47, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1500 : i32, 1 : i32]tensor<[1,12,1500,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 16 : i32, 1 : i32]tensor<[1,12,16,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 16 : i32, 1 : i32]tensor<[1,12,16,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,197,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 197 : i32, 1 : i32]tensor<[1,12,197,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 197 : i32, 1 : i32]tensor<[1,12,197,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 25 : i32, 1 : i32]tensor<[1,12,25,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,25,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 25 : i32, 1 : i32]tensor<[1,12,25,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 50 : i32, 1 : i32]tensor<[1,12,50,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,50,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 50 : i32, 1 : i32]tensor<[1,12,50,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 7 : i32, 1 : i32]tensor<[1,12,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 7 : i32, 1 : i32]tensor<[1,12,7,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 9 : i32, 1 : i32]tensor<[1,12,9,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 9 : i32, 1 : i32]tensor<[1,12,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1370,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 43, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1370 : i32, 1 : i32]tensor<[1,16,1370,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1370,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 43, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1370 : i32, 1 : i32]tensor<[1,16,1370,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 256 : i32, 1 : i32]tensor<[1,16,256,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 256 : i32, 1 : i32]tensor<[1,16,256,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,6,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 6 : i32, 1 : i32]tensor<[1,16,6,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 6 : i32, 1 : i32]tensor<[1,16,6,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 9 : i32, 1 : i32]tensor<[1,16,9,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 9 : i32, 1 : i32]tensor<[1,16,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,24,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 32 : i32, 1 : i32]tensor<[1,24,32,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,24,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 24 : i32, 32 : i32, 1 : i32]tensor<[1,24,32,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 28 : i32, 13 : i32, 1 : i32]tensor<[1,28,13,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,28,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 28 : i32, 13 : i32, 1 : i32]tensor<[1,28,13,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 1 : i32]tensor<[1,32,32,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 1 : i32]tensor<[1,32,32,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3,1445,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (1, 46, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 1445 : i32, 1 : i32]tensor<[1,3,1445,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,1445,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (1, 46, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3 : i32, 1445 : i32, 1 : i32]tensor<[1,3,1445,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 9 : i32, 1 : i32]tensor<[1,64,9,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,64,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 9 : i32, 1 : i32]tensor<[1,64,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,71,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 71 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 71 : i32, 7 : i32, 1 : i32]tensor<[1,71,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,71,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 71 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 71 : i32, 7 : i32, 1 : i32]tensor<[1,71,7,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1024 : i32, 1 : i32]tensor<[1,8,1024,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1024 : i32, 1 : i32]tensor<[1,8,1024,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1024 : i32, 1 : i32]tensor<[1,8,1024,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1024 : i32, 1 : i32]tensor<[1,8,1024,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 1 : i32]tensor<[1,8,256,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 1 : i32]tensor<[1,8,256,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 1 : i32]tensor<[1,8,256,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 1 : i32]tensor<[1,8,256,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 4096 : i32, 1 : i32]tensor<[1,8,4096,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 4096 : i32, 1 : i32]tensor<[1,8,4096,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 4096 : i32, 1 : i32]tensor<[1,8,4096,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 4096 : i32, 1 : i32]tensor<[1,8,4096,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 64 : i32, 1 : i32]tensor<[1,8,64,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 64 : i32, 1 : i32]tensor<[1,8,64,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 64 : i32, 1 : i32]tensor<[1,8,64,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 64 : i32, 1 : i32]tensor<[1,8,64,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,8,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 8 : i32, 7 : i32, 1 : i32]tensor<[2,8,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,8,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 8 : i32, 7 : i32, 1 : i32]tensor<[2,8,7,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[4,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[121,6,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (23, 5, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 6 : i32, 144 : i32, 1 : i32]tensor<[121,6,144,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,8,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 8 : i32, 49 : i32, 1 : i32]tensor<[16,8,49,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 10 : i32, 1 : i32]tensor<[1,12,10,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,197,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 197 : i32, 1 : i32]tensor<[1,12,197,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,201,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 201 : i32, 1 : i32]tensor<[1,12,201,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 257 : i32, 1 : i32]tensor<[1,12,257,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,45,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 45 : i32, 1 : i32]tensor<[1,12,45,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 8 : i32, 1 : i32]tensor<[1,12,8,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 10 : i32, 1 : i32]tensor<[1,16,10,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,197,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 197 : i32, 1 : i32]tensor<[1,16,197,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 32 : i32, 1 : i32]tensor<[1,16,32,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,5,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 5 : i32, 1 : i32]tensor<[1,16,5,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 1 : i32]tensor<[1,1,16384,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,19200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 600, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 19200 : i32, 1 : i32]tensor<[1,1,19200,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,27,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 27 : i32, 1 : i32]tensor<[1,27,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2 : i32, 4096 : i32, 1 : i32]tensor<[1,2,4096,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2,4800,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 150, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2 : i32, 4800 : i32, 1 : i32]tensor<[1,2,4800,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 49 : i32, 1 : i32]tensor<[1,32,49,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 5 : i32, 1024 : i32, 1 : i32]tensor<[1,5,1024,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,5,1200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 38, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 5 : i32, 1200 : i32, 1 : i32]tensor<[1,5,1200,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,15,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 15 : i32, 1 : i32]tensor<[1,6,15,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 10 : i32, 1 : i32]tensor<[1,8,10,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 2048 : i32, 1 : i32]tensor<[1,8,2048,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 1 : i32]tensor<[1,8,256,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 1 : i32]tensor<[1,8,256,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,300,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 300 : i32, 1 : i32]tensor<[1,8,300,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,12,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 12 : i32, 13 : i32, 1 : i32]tensor<[2,12,13,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,12,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (14, 5, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 144 : i32, 1 : i32]tensor<[36,12,144,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,24,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (27, 5, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 24 : i32, 144 : i32, 1 : i32]tensor<[36,24,144,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[484,6,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (91, 5, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 6 : i32, 144 : i32, 1 : i32]tensor<[484,6,144,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,16,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 16 : i32, 49 : i32, 1 : i32]tensor<[4,16,49,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,48,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 48 + d1, d2), memory_config: (6, 5, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 48 : i32, 144 : i32, 1 : i32]tensor<[4,48,144,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,4,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 4 : i32, 49 : i32, 1 : i32]tensor<[64,4,49,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,100,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 100 : i32, 1 : i32]tensor<[8,100,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,100,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 100 : i32, 1 : i32]tensor<[8,100,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,920,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 29, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 920 : i32, 1 : i32]tensor<[8,920,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,24,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (7, 5, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 24 : i32, 144 : i32, 1 : i32]tensor<[9,24,144,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,48,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 48 + d1, d2), memory_config: (14, 5, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 48 : i32, 144 : i32, 1 : i32]tensor<[9,48,144,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 160 : i32]tensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 256 : i32]tensor<[1,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,640,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 640 : i32]tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 768 : i32]tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[10,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 1024 : i32]tensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[10,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 2048 : i32]tensor<[1,10,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[10,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 3072 : i32]tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[10,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 4096 : i32]tensor<[1,10,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[10,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 50280 : i32]tensor<[1,10,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[10,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 512 : i32]tensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[10,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 6144 : i32]tensor<[1,10,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[10,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 768 : i32]tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[11,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 11 : i32, 3072 : i32]tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[11,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 11 : i32, 50280 : i32]tensor<[1,11,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[11,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 11 : i32, 6144 : i32]tensor<[1,11,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1200,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1200 : i32, 320 : i32]tensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')shape: [1452 : i32, 144 : i32, 32 : i32]tensor<[1452,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,12,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 32 + d2, d3), memory_config: (1452, 5, 'tile<32x32, f32>', 'dram')shape: [1452 : i32, 32 : i32, 144 : i32]tensor<[1452,32,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1452, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,144,12,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 12 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 144 : i32, 384 : i32]tensor<[121,144,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,144,6,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 6 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 144 : i32, 192 : i32]tensor<[121,144,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')shape: [726 : i32, 144 : i32, 32 : i32]tensor<[726,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,6,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 32 + d2, d3), memory_config: (726, 5, 'tile<32x32, f32>', 'dram')shape: [726 : i32, 32 : i32, 144 : i32]tensor<[726,32,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (726, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 8 : i32, 49 : i32, 32 : i32]tensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 8 : i32, 49 : i32, 49 : i32]tensor<[16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 10 : i32, 10 : i32]tensor<[1,12,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,10,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 10 : i32, 64 : i32]tensor<[1,12,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1536 : i32]tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,197,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 197 : i32, 197 : i32]tensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,197,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 197 : i32, 64 : i32]tensor<[1,12,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 10 : i32]tensor<[1,12,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 11 : i32]tensor<[1,12,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 12 : i32]tensor<[1,12,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 13 : i32]tensor<[1,12,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 14 : i32]tensor<[1,12,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 15 : i32]tensor<[1,12,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 16 : i32]tensor<[1,12,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 17 : i32]tensor<[1,12,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 18 : i32]tensor<[1,12,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 19 : i32]tensor<[1,12,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 20 : i32]tensor<[1,12,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 2 : i32]tensor<[1,12,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 3 : i32]tensor<[1,12,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,46,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 46 : i32]tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,47,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 47 : i32]tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,48,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 48 : i32]tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 49 : i32]tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 4 : i32]tensor<[1,12,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 50 : i32]tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,51,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 51 : i32]tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,52,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 52 : i32]tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,53,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 53 : i32]tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,54,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 54 : i32]tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,55,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 55 : i32]tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,56,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 56 : i32]tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,57,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 57 : i32]tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,58,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 58 : i32]tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,59,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 59 : i32]tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 5 : i32]tensor<[1,12,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,60,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 60 : i32]tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,61,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 61 : i32]tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,62,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 62 : i32]tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,63,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 63 : i32]tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 64 : i32]tensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,65,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 65 : i32]tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,66,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 66 : i32]tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,67,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 67 : i32]tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,68,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 68 : i32]tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,69,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 69 : i32]tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 6 : i32]tensor<[1,12,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,70,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 70 : i32]tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,71,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 71 : i32]tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,72,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 72 : i32]tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,73,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 73 : i32]tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,74,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 74 : i32]tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,75,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 75 : i32]tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,76,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 76 : i32]tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,77,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 77 : i32]tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,78,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 78 : i32]tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,79,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 79 : i32]tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 7 : i32]tensor<[1,12,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 80 : i32]tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,81,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 81 : i32]tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,82,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 82 : i32]tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,83,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 83 : i32]tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,84,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 84 : i32]tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,85,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 85 : i32]tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,86,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 86 : i32]tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,87,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 87 : i32]tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,88,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 88 : i32]tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,89,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 89 : i32]tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 8 : i32]tensor<[1,12,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,90,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 90 : i32]tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 91 : i32]tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,92,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 92 : i32]tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,93,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 93 : i32]tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,94,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 94 : i32]tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,95,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 95 : i32]tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,96,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 96 : i32]tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,97,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 97 : i32]tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,98,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 98 : i32]tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,99,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 99 : i32]tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 9 : i32]tensor<[1,12,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,201,201,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 201 : i32, 201 : i32]tensor<[1,12,201,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,201,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 201 : i32, 64 : i32]tensor<[1,12,201,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,257,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 257 : i32, 257 : i32]tensor<[1,12,257,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,257,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 257 : i32, 64 : i32]tensor<[1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 3072 : i32]tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,45,45,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 45 : i32, 45 : i32]tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,45,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 45 : i32, 64 : i32]tensor<[1,12,45,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 50280 : i32]tensor<[1,12,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 6144 : i32]tensor<[1,12,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,8960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 8960 : i32]tensor<[1,12,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 8 : i32, 64 : i32]tensor<[1,12,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,8,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 8 : i32, 8 : i32]tensor<[1,12,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[13,18944,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 18944 : i32]tensor<[1,13,18944,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[13,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 3072 : i32]tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[13,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 3584 : i32]tensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[13,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 50280 : i32]tensor<[1,13,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[13,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 6144 : i32]tensor<[1,13,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1452,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 12 : i32, 144 : i32, 144 : i32]tensor<[121,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1452,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 12 : i32, 144 : i32, 32 : i32]tensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[14,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 3072 : i32]tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[14,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 50280 : i32]tensor<[1,14,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[14,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 6144 : i32]tensor<[1,14,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1500,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1500 : i32, 768 : i32]tensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[15,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 15 : i32, 1024 : i32]tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[15,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 15 : i32, 3072 : i32]tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[15,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 15 : i32, 384 : i32]tensor<[1,15,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[15,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 15 : i32, 50280 : i32]tensor<[1,15,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[15,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 15 : i32, 512 : i32]tensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[15,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 15 : i32, 6144 : i32]tensor<[1,15,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16384,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16384 : i32, 256 : i32]tensor<[1,16384,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16384,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16384 : i32, 32 : i32]tensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 384 : i32]tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 10 : i32, 10 : i32]tensor<[1,16,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,10,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 10 : i32, 64 : i32]tensor<[1,16,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,197,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 197 : i32, 197 : i32]tensor<[1,16,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,197,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 197 : i32, 64 : i32]tensor<[1,16,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 10 : i32]tensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 11 : i32]tensor<[1,16,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 12 : i32]tensor<[1,16,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 13 : i32]tensor<[1,16,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 14 : i32]tensor<[1,16,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 15 : i32]tensor<[1,16,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 16 : i32]tensor<[1,16,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 17 : i32]tensor<[1,16,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 18 : i32]tensor<[1,16,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 19 : i32]tensor<[1,16,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 20 : i32]tensor<[1,16,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 21 : i32]tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 22 : i32]tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 23 : i32]tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 24 : i32]tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 2 : i32]tensor<[1,16,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 3 : i32]tensor<[1,16,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 4 : i32]tensor<[1,16,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 5 : i32]tensor<[1,16,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 64 : i32]tensor<[1,16,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 6 : i32]tensor<[1,16,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 7 : i32]tensor<[1,16,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 8 : i32]tensor<[1,16,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 9 : i32]tensor<[1,16,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,49,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 8 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 49 : i32, 256 : i32]tensor<[16,49,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,5,5,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 5 : i32, 5 : i32]tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,5,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 5 : i32, 64 : i32]tensor<[1,16,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,8,32,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 32 : i32, 49 : i32]tensor<[128,32,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 49 : i32, 32 : i32]tensor<[128,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[19200,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 19200 : i32, 64 : i32]tensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[192,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 48 : i32, 144 : i32, 144 : i32]tensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 48 : i32, 144 : i32, 32 : i32]tensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[196,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 2048 : i32]tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[197,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 197 : i32, 1024 : i32]tensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[197,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 197 : i32, 768 : i32]tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 160 : i32]tensor<[1024,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 256 : i32]tensor<[1024,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,10,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 600 + d1 * 60 + d2 * 6 + d3, d4), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 600 : i32, 4 : i32]tensor<[1,600,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 600 + d1, d2), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,10,10,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 600 + d1 * 60 + d2 * 6 + d3, d4), memory_config: (19, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 600 : i32, 91 : i32]tensor<[1,600,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 600 + d1, d2), memory_config: (19, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [10 : i32, 3072 : i32]tensor<[10,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [11 : i32, 3072 : i32]tensor<[11,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')shape: [1200 : i32, 320 : i32]tensor<[1200,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 10 : i32, 10 : i32]tensor<[12,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 10 : i32]tensor<[12,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 11 : i32]tensor<[12,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 12 : i32]tensor<[12,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 13 : i32]tensor<[12,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 14 : i32]tensor<[12,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 15 : i32]tensor<[12,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 16 : i32]tensor<[12,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 17 : i32]tensor<[12,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 18 : i32]tensor<[12,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 19 : i32]tensor<[12,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 1 : i32]tensor<[12,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 20 : i32]tensor<[12,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 2 : i32]tensor<[12,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 3 : i32]tensor<[12,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 4 : i32]tensor<[12,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 5 : i32]tensor<[12,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 6 : i32]tensor<[12,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 7 : i32]tensor<[12,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 8 : i32]tensor<[12,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 9 : i32]tensor<[12,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 3072 : i32]tensor<[12,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [13 : i32, 3072 : i32]tensor<[13,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')shape: [196 : i32, 2048 : i32]tensor<[196,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [196 : i32, 512 : i32]tensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [14 : i32, 3072 : i32]tensor<[14,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,151936,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 151936 : i32]tensor<[1,1,151936,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [15 : i32, 3072 : i32]tensor<[15,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16384,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 256 : i32]tensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16384,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')shape: [16384 : i32, 256 : i32]tensor<[16384,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 32 : i32]tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [16384 : i32, 32 : i32]tensor<[16384,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 10 : i32, 10 : i32]tensor<[16,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,16,16,3,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 65536 + d1 * 4096 + d2 * 256 + d3 * 16 + d4, d5), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 768 : i32]tensor<[1,256,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 10 : i32]tensor<[16,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 11 : i32]tensor<[16,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 12 : i32]tensor<[16,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 13 : i32]tensor<[16,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 14 : i32]tensor<[16,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 15 : i32]tensor<[16,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 16 : i32]tensor<[16,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 17 : i32]tensor<[16,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 18 : i32]tensor<[16,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 19 : i32]tensor<[16,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 1 : i32]tensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 20 : i32]tensor<[16,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 21 : i32]tensor<[16,1,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 22 : i32]tensor<[16,1,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 23 : i32]tensor<[16,1,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 24 : i32]tensor<[16,1,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 2 : i32]tensor<[16,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 3 : i32]tensor<[16,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 4 : i32]tensor<[16,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 5 : i32]tensor<[16,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 6 : i32]tensor<[16,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 7 : i32]tensor<[16,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 8 : i32]tensor<[16,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 9 : i32]tensor<[16,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 5 : i32, 5 : i32]tensor<[16,5,5,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,19200,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 19200 : i32, 300 : i32]tensor<[1,1,19200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 19200 : i32, 64 : i32]tensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [19200 : i32, 64 : i32]tensor<[19200,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4,4,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16 + d1 * 16 + d2 * 4 + d3, d4), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16 : i32, 64 : i32]tensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 2048 : i32]tensor<[1,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,20,20,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2400 + d1 * 120 + d2 * 6 + d3, d4), memory_config: (75, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2400 : i32, 4 : i32]tensor<[1,2400,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2400 + d1, d2), memory_config: (75, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,20,20,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2400 + d1 * 120 + d2 * 6 + d3, d4), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2400 : i32, 91 : i32]tensor<[1,2400,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2400 + d1, d2), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 256 : i32]tensor<[256,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,257,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 12 + d2, d3), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 257 : i32, 768 : i32]tensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')shape: [784 : i32, 1024 : i32]tensor<[784,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [784 : i32, 256 : i32]tensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,2,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 24 + d1 * 12 + d2 * 6 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 4 : i32]tensor<[1,24,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2,2,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 24 + d1 * 12 + d2 * 6 + d3, d4), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 91 : i32]tensor<[1,24,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2,2,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 196 + d1 * 98 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 49 : i32, 512 : i32]tensor<[4,49,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,12,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 144 + d1 * 72 + d2 * 12 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 128 : i32]tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,13,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 156 + d1 * 78 + d2 * 13 + d3, d4), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 13 : i32, 128 : i32]tensor<[1,12,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,14,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 168 + d1 * 84 + d2 * 14 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 14 : i32, 128 : i32]tensor<[1,12,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,15,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 180 + d1 * 90 + d2 * 15 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 15 : i32, 128 : i32]tensor<[1,12,15,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,16,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 192 + d1 * 96 + d2 * 16 + d3, d4), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 16 : i32, 128 : i32]tensor<[1,12,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,17,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 204 + d1 * 102 + d2 * 17 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 17 : i32, 128 : i32]tensor<[1,12,17,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,18,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 216 + d1 * 108 + d2 * 18 + d3, d4), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 18 : i32, 128 : i32]tensor<[1,12,18,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,19,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 228 + d1 * 114 + d2 * 19 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 19 : i32, 128 : i32]tensor<[1,12,19,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,20,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 240 + d1 * 120 + d2 * 20 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 20 : i32, 128 : i32]tensor<[1,12,20,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 20 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,21,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 252 + d1 * 126 + d2 * 21 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 21 : i32, 128 : i32]tensor<[1,12,21,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 21 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,22,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 264 + d1 * 132 + d2 * 22 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 22 : i32, 128 : i32]tensor<[1,12,22,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 264 + d1 * 22 + d2, d3), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,23,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 276 + d1 * 138 + d2 * 23 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 23 : i32, 128 : i32]tensor<[1,12,23,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 276 + d1 * 23 + d2, d3), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,24,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 288 + d1 * 144 + d2 * 24 + d3, d4), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 24 : i32, 128 : i32]tensor<[1,12,24,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 24 + d2, d3), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,25,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 300 + d1 * 150 + d2 * 25 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 25 : i32, 128 : i32]tensor<[1,12,25,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,26,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 312 + d1 * 156 + d2 * 26 + d3, d4), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 26 : i32, 128 : i32]tensor<[1,12,26,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 312 + d1 * 26 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,27,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 324 + d1 * 162 + d2 * 27 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 27 : i32, 128 : i32]tensor<[1,12,27,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 324 + d1 * 27 + d2, d3), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,28,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 336 + d1 * 168 + d2 * 28 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 28 : i32, 128 : i32]tensor<[1,12,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 28 + d2, d3), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,6,29,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 348 + d1 * 174 + d2 * 29 + d3, d4), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 29 : i32, 128 : i32]tensor<[1,12,29,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 * 29 + d2, d3), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,7,2,7,512,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 196 + d1 * 98 + d2 * 14 + d3 * 7 + d4, d5), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')shape: [300 : i32, 512 : i32]tensor<[300,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 32128 : i32]tensor<[1,1,32128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,16,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 1536 : i32]tensor<[1,32,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 384 : i32]tensor<[1,1,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3,3,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 54 + d1 * 18 + d2 * 6 + d3, d4), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 54 : i32, 4 : i32]tensor<[1,54,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 54 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,3,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 54 + d1 * 18 + d2 * 6 + d3, d4), memory_config: (2, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 54 : i32, 91 : i32]tensor<[1,54,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 54 + d1, d2), memory_config: (2, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32]tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')shape: [4096 : i32, 256 : i32]tensor<[4096,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [4096 : i32, 64 : i32]tensor<[4096,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')shape: [4800 : i32, 128 : i32]tensor<[4800,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,49,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 32 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 49 : i32, 1024 : i32]tensor<[1,49,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4,4,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 784 + d1 * 196 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 49 : i32, 256 : i32]tensor<[16,49,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4,7,13,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 364 + d1 * 91 + d2 * 13 + d3, d4), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 28 : i32, 13 : i32, 128 : i32]tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4,7,4,7,256,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 784 + d1 * 196 + d2 * 28 + d3 * 7 + d4, d5), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50257 : i32]tensor<[1,1,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,50272,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50272 : i32]tensor<[1,1,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [3136 : i32, 128 : i32]tensor<[3136,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')shape: [3136 : i32, 512 : i32]tensor<[3136,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,4,4,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 80 + d1 * 16 + d2 * 4 + d3, d4), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 16 : i32, 64 : i32]tensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,5,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 150 + d1 * 30 + d2 * 6 + d3, d4), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 150 : i32, 4 : i32]tensor<[1,150,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 150 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,5,5,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 150 + d1 * 30 + d2 * 6 + d3, d4), memory_config: (5, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 150 : i32, 91 : i32]tensor<[1,150,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 150 + d1, d2), memory_config: (5, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 15 : i32, 15 : i32]tensor<[6,15,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 10 : i32]tensor<[6,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 11 : i32]tensor<[6,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 12 : i32]tensor<[6,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 13 : i32]tensor<[6,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 14 : i32]tensor<[6,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 15 : i32]tensor<[6,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 16 : i32]tensor<[6,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 17 : i32]tensor<[6,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 18 : i32]tensor<[6,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 19 : i32]tensor<[6,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 1 : i32]tensor<[6,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 20 : i32]tensor<[6,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 2 : i32]tensor<[6,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 3 : i32]tensor<[6,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 4 : i32]tensor<[6,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 5 : i32]tensor<[6,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 6 : i32]tensor<[6,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 7 : i32]tensor<[6,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 8 : i32]tensor<[6,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 9 : i32]tensor<[6,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 3072 : i32]tensor<[6,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 384 : i32]tensor<[768,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [7 : i32, 3072 : i32]tensor<[7,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')shape: [7 : i32, 4544 : i32]tensor<[7,4544,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,71,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 71 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 4544 : i32]tensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [49 : i32, 1024 : i32]tensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')shape: [49 : i32, 4096 : i32]tensor<[49,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 8960 : i32]tensor<[1,1,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 10 : i32, 10 : i32]tensor<[8,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 10 : i32]tensor<[8,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 11 : i32]tensor<[8,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 12 : i32]tensor<[8,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 13 : i32]tensor<[8,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 14 : i32]tensor<[8,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 15 : i32]tensor<[8,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 16 : i32]tensor<[8,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 17 : i32]tensor<[8,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 18 : i32]tensor<[8,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 19 : i32]tensor<[8,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 1 : i32]tensor<[8,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 20 : i32]tensor<[8,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 2 : i32]tensor<[8,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 3 : i32]tensor<[8,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 4 : i32]tensor<[8,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 5 : i32]tensor<[8,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 6 : i32]tensor<[8,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 7 : i32]tensor<[8,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 8 : i32]tensor<[8,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 9 : i32]tensor<[8,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 3072 : i32]tensor<[8,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,3,32,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 96 + d2 * 32 + d3, d4), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 24 : i32, 32 : i32, 128 : i32]tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,7,8,7,128,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 3136 + d1 * 392 + d2 * 56 + d3 * 7 + d4, d5), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,8,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 3136 + d1 * 392 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 49 : i32, 128 : i32]tensor<[64,49,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 3072 : i32]tensor<[9,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[216,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 24 : i32, 144 : i32, 144 : i32]tensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[216,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 24 : i32, 144 : i32, 32 : i32]tensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,13,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 12 : i32, 13 : i32, 13 : i32]tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,13,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 12 : i32, 13 : i32, 64 : i32]tensor<[2,12,13,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1280 : i32]tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1536 : i32]tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 256 : i32]tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 4 : i32, 49 : i32, 32 : i32]tensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 4 : i32, 49 : i32, 49 : i32]tensor<[64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[26,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 13 : i32, 3072 : i32]tensor<[2,13,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[26,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 13 : i32, 768 : i32]tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2904,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 6 : i32, 144 : i32, 144 : i32]tensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2904,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 6 : i32, 144 : i32, 32 : i32]tensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 13 : i32, 13 : i32]tensor<[24,13,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,12,13,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 13 : i32, 64 : i32]tensor<[24,13,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,12,64,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 64 : i32, 13 : i32]tensor<[24,64,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,2,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 49 : i32]tensor<[4,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 4096 : i32, 256 : i32]tensor<[1,2,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,4096,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 4096 : i32, 32 : i32]tensor<[1,2,4096,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,4800,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 4800 : i32, 300 : i32]tensor<[1,2,4800,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,4800,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 4800 : i32, 64 : i32]tensor<[1,2,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,8,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 7 : i32]tensor<[16,64,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,8,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 7 : i32, 64 : i32]tensor<[16,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[300,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 512 : i32]tensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3136,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3136,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 512 : i32]tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 1024 : i32]tensor<[1,32,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,11008,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 11008 : i32]tensor<[1,32,11008,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,128256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4008, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 128256 : i32]tensor<[1,32,128256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4008, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,250880,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7840, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 250880 : i32]tensor<[1,32,250880,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 7840, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 3072 : i32]tensor<[1,32,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,32000,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1000, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 32000 : i32]tensor<[1,32,32000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1000, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 4096 : i32]tensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 49 : i32, 32 : i32]tensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 49 : i32, 49 : i32]tensor<[1,32,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,8192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 8192 : i32]tensor<[1,32,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [432 : i32, 144 : i32, 32 : i32]tensor<[432,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,12,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 32 + d2, d3), memory_config: (432, 5, 'tile<32x32, f32>', 'dram')shape: [432 : i32, 32 : i32, 144 : i32]tensor<[432,32,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (432, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,144,12,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 12 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 144 : i32, 384 : i32]tensor<[36,144,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,144,24,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 24 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 144 : i32, 768 : i32]tensor<[36,144,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')shape: [864 : i32, 144 : i32, 32 : i32]tensor<[864,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,24,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')shape: [864 : i32, 32 : i32, 144 : i32]tensor<[864,32,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 256 : i32]tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4096,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 320 : i32]tensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 384 : i32]tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 64 : i32]tensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 768 : i32]tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[432,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 144 : i32, 144 : i32]tensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[432,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 48 : i32, 144 : i32, 144 : i32]tensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[432,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 144 : i32, 32 : i32]tensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[432,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 48 : i32, 144 : i32, 32 : i32]tensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[45,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1571, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 45 : i32, 50257 : i32]tensor<[1,45,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[45,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 45 : i32, 768 : i32]tensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4800,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4800 : i32, 128 : i32]tensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[484,144,6,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 6 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 144 : i32, 192 : i32]tensor<[484,144,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')shape: [2904 : i32, 144 : i32, 32 : i32]tensor<[2904,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[484,6,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 32 + d2, d3), memory_config: (2904, 5, 'tile<32x32, f32>', 'dram')shape: [2904 : i32, 32 : i32, 144 : i32]tensor<[2904,32,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (2904, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[49,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 4096 : i32]tensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 1 : i32, 1024 : i32]tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,144,48,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 48 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 144 : i32, 1536 : i32]tensor<[4,144,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,16,32,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (64, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 32 : i32, 49 : i32]tensor<[64,32,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (64, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 49 : i32, 32 : i32]tensor<[64,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 1 : i32, 2048 : i32]tensor<[4,1,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 1 : i32, 4096 : i32]tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')shape: [192 : i32, 144 : i32, 32 : i32]tensor<[192,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,48,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 32 + d2, d3), memory_config: (192, 5, 'tile<32x32, f32>', 'dram')shape: [192 : i32, 32 : i32, 144 : i32]tensor<[192,32,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (192, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,49,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 16 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 49 : i32, 512 : i32]tensor<[4,49,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,4,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 49 : i32]tensor<[16,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 13 : i32, 1024 : i32]tensor<[4,13,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[5,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 1024 : i32]tensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[5,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 1024 : i32, 256 : i32]tensor<[1,5,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[5,1024,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 1024 : i32, 32 : i32]tensor<[1,5,1024,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[5,1200,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 1200 : i32, 300 : i32]tensor<[1,5,1200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[5,1200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 1200 : i32, 64 : i32]tensor<[1,5,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[5,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 3072 : i32]tensor<[1,5,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[600,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 100 : i32, 256 : i32]tensor<[6,1,100,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[600,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 100 : i32, 4 : i32]tensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[600,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 100 : i32, 92 : i32]tensor<[6,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1280 : i32]tensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 16 : i32, 49 : i32, 32 : i32]tensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 16 : i32, 49 : i32, 49 : i32]tensor<[4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,49,4,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 4 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 49 : i32, 128 : i32]tensor<[64,49,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,4,32,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 32 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 32 : i32, 49 : i32]tensor<[256,32,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 49 : i32, 32 : i32]tensor<[256,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1024 : i32]tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,15,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 15 : i32, 15 : i32]tensor<[1,6,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,15,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 15 : i32, 64 : i32]tensor<[1,6,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,100,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')shape: [600 : i32, 256 : i32]tensor<[600,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')shape: [600 : i32, 4 : i32]tensor<[600,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')shape: [600 : i32, 92 : i32]tensor<[600,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 10 : i32]tensor<[1,6,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 11 : i32]tensor<[1,6,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 12 : i32]tensor<[1,6,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 13 : i32]tensor<[1,6,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 14 : i32]tensor<[1,6,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 15 : i32]tensor<[1,6,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 16 : i32]tensor<[1,6,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 17 : i32]tensor<[1,6,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 18 : i32]tensor<[1,6,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 19 : i32]tensor<[1,6,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 20 : i32]tensor<[1,6,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 2 : i32]tensor<[1,6,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 3 : i32]tensor<[1,6,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 4 : i32]tensor<[1,6,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 5 : i32]tensor<[1,6,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 64 : i32]tensor<[1,6,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 6 : i32]tensor<[1,6,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 7 : i32]tensor<[1,6,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 8 : i32]tensor<[1,6,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 9 : i32]tensor<[1,6,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 3072 : i32]tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,50272,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 50272 : i32]tensor<[1,6,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 50280 : i32]tensor<[1,6,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 512 : i32]tensor<[1,6,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 6144 : i32]tensor<[1,6,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[71,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 71 : i32, 7 : i32, 64 : i32]tensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[71,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 71 : i32, 7 : i32, 7 : i32]tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[726,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 6 : i32, 144 : i32, 144 : i32]tensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[726,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 6 : i32, 144 : i32, 32 : i32]tensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 384 : i32]tensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[784,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 1024 : i32]tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,18176,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 18176 : i32]tensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 2 : i32]tensor<[1,7,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 3072 : i32]tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,4544,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 4544 : i32]tensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,4672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 146, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 4672 : i32]tensor<[1,7,4672,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 146, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 50280 : i32]tensor<[1,7,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 6144 : i32]tensor<[1,7,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,65024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2032, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 65024 : i32]tensor<[1,7,65024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 2032, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[864,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 24 : i32, 144 : i32, 144 : i32]tensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[864,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 24 : i32, 144 : i32, 32 : i32]tensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 10 : i32, 10 : i32]tensor<[1,8,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,10,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 10 : i32, 64 : i32]tensor<[1,8,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 10 : i32]tensor<[1,8,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 11 : i32]tensor<[1,8,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 12 : i32]tensor<[1,8,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 13 : i32]tensor<[1,8,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 14 : i32]tensor<[1,8,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 15 : i32]tensor<[1,8,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 16 : i32]tensor<[1,8,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 17 : i32]tensor<[1,8,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 18 : i32]tensor<[1,8,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 19 : i32]tensor<[1,8,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 20 : i32]tensor<[1,8,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 2 : i32]tensor<[1,8,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 3 : i32]tensor<[1,8,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 4 : i32]tensor<[1,8,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 5 : i32]tensor<[1,8,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 64 : i32]tensor<[1,8,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 6 : i32]tensor<[1,8,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 7 : i32]tensor<[1,8,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 8 : i32]tensor<[1,8,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 9 : i32]tensor<[1,8,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,2048,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 2048 : i32, 256 : i32]tensor<[1,8,2048,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,2048,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 2048 : i32, 96 : i32]tensor<[1,8,2048,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,256,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 160 : i32]tensor<[1,8,256,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,256,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 2048 : i32]tensor<[1,8,256,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 256 : i32]tensor<[1,8,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 32 : i32]tensor<[1,8,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,300,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 300 : i32, 300 : i32]tensor<[1,8,300,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 300 : i32, 64 : i32]tensor<[1,8,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 3072 : i32]tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 50280 : i32]tensor<[1,8,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 6144 : i32]tensor<[1,8,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,8,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 49 : i32]tensor<[64,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')shape: [920 : i32, 256 : i32]tensor<[920,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[920,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')shape: [920 : i32, 1 : i32, 256 : i32]tensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 1280 : i32]tensor<[1,9,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,144,24,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 24 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 144 : i32, 768 : i32]tensor<[9,144,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,144,48,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 48 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 144 : i32, 1536 : i32]tensor<[9,144,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')shape: [216 : i32, 144 : i32, 32 : i32]tensor<[216,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,24,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (216, 5, 'tile<32x32, f32>', 'dram')shape: [216 : i32, 32 : i32, 144 : i32]tensor<[216,32,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (216, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 3072 : i32]tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 320 : i32]tensor<[1,9,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [432 : i32, 144 : i32, 32 : i32]tensor<[432,144,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,48,32,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 32 + d2, d3), memory_config: (432, 5, 'tile<32x32, f32>', 'dram')shape: [432 : i32, 32 : i32, 144 : i32]tensor<[432,32,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (432, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,50280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 50280 : i32]tensor<[1,9,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 6144 : i32]tensor<[1,9,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,640,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 640 : i32]tensor<[1,9,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32]tensor<[1,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32]tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4 : i32]tensor<[1,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[92,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 92 : i32]tensor<[1,92,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32]tensor<[1,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[5120,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 160, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 5120 : i32]tensor<[1,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[6144,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6144 : i32]tensor<[1,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[640,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 640 : i32]tensor<[1,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[250002,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 250002 : i32]tensor<[1,250002,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32]tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32]tensor<[1,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2304,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2304 : i32]tensor<[1,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4608,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4608 : i32]tensor<[1,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32]tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2 : i32]tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32]tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3840,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 120, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3840 : i32]tensor<[1,3840,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 120, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[5120,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 160, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 5120 : i32]tensor<[1,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2 : i32]tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3584 : i32]tensor<[1,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32]tensor<[1,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32]tensor<[1,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32]tensor<[1,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2 : i32]tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32]tensor<[1,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32]tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32]tensor<[1,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32]tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32]tensor<[1,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 36, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32]tensor<[1,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32]tensor<[1,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32]tensor<[1,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32]tensor<[1,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32]tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32]tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32]tensor<[1,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32]tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1000,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1000 : i32]tensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[100,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 100 : i32, 1 : i32, 1 : i32]tensor<[1,100,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 160 : i32]tensor<[1,1,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[640,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 640 : i32]tensor<[1,1,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1056,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1056 : i32, 1 : i32, 1 : i32]tensor<[1,1056,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1056,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1056 : i32, 1 : i32, 1 : i32]tensor<[1,1056,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1088,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1088 : i32, 1 : i32, 1 : i32]tensor<[1,1088,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1088,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1088 : i32, 1 : i32, 1 : i32]tensor<[1,1088,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[10,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 10 : i32]tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1120 : i32, 1 : i32, 1 : i32]tensor<[1,1120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1120 : i32, 1 : i32, 1 : i32]tensor<[1,1120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32, 1 : i32, 1 : i32]tensor<[1,1152,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32, 1 : i32, 1 : i32]tensor<[1,1152,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32, 1 : i32, 1 : i32]tensor<[1,1152,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[116,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 116 : i32, 1 : i32, 1 : i32]tensor<[1,116,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 116 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1184 : i32, 1 : i32, 1 : i32]tensor<[1,1184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1184 : i32, 1 : i32, 1 : i32]tensor<[1,1184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 320 : i32]tensor<[1,1,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1216,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1216 : i32, 1 : i32, 1 : i32]tensor<[1,1216,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1216,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1216 : i32, 1 : i32, 1 : i32]tensor<[1,1216,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1248 : i32, 1 : i32, 1 : i32]tensor<[1,1248,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1248 : i32, 1 : i32, 1 : i32]tensor<[1,1248,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1248 : i32, 1 : i32, 1 : i32]tensor<[1,1248,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32]tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32]tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32]tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 128 : i32]tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1312,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1312 : i32, 1 : i32, 1 : i32]tensor<[1,1312,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1312,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1312 : i32, 1 : i32, 1 : i32]tensor<[1,1312,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1344 : i32, 1 : i32, 1 : i32]tensor<[1,1344,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1344 : i32, 1 : i32, 1 : i32]tensor<[1,1344,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1344 : i32, 1 : i32, 1 : i32]tensor<[1,1344,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[134,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 134 : i32, 1 : i32, 1 : i32]tensor<[1,134,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 134 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[136,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 136 : i32, 1 : i32, 1 : i32]tensor<[1,136,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1280 : i32]tensor<[1,1,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1376,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1376 : i32, 1 : i32, 1 : i32]tensor<[1,1376,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1376,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1376 : i32, 1 : i32, 1 : i32]tensor<[1,1376,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1408,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1408 : i32, 1 : i32, 1 : i32]tensor<[1,1408,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1408,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1408 : i32, 1 : i32, 1 : i32]tensor<[1,1408,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1440,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1440 : i32, 1 : i32, 1 : i32]tensor<[1,1440,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1440,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1440 : i32, 1 : i32, 1 : i32]tensor<[1,1440,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 192 : i32]tensor<[1,1,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1472,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1472 : i32, 1 : i32, 1 : i32]tensor<[1,1472,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1472,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1472 : i32, 1 : i32, 1 : i32]tensor<[1,1472,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 128 : i32]tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 2048 : i32]tensor<[1,1,1,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 512 : i32]tensor<[1,1,1,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[14,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 14 : i32, 1 : i32, 1 : i32]tensor<[1,14,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1500,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1500 : i32, 768 : i32]tensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1504,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1504 : i32, 1 : i32, 1 : i32]tensor<[1,1504,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1504,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1504 : i32, 1 : i32, 1 : i32]tensor<[1,1504,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 1 : i32, 1 : i32]tensor<[1,1536,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 1 : i32, 1 : i32]tensor<[1,1536,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 1 : i32, 1 : i32]tensor<[1,1536,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1568,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1568 : i32, 1 : i32, 1 : i32]tensor<[1,1568,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1568,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1568 : i32, 1 : i32, 1 : i32]tensor<[1,1568,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1600,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1600 : i32, 1 : i32, 1 : i32]tensor<[1,1600,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1600,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1600 : i32, 1 : i32, 1 : i32]tensor<[1,1600,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1632 : i32, 1 : i32, 1 : i32]tensor<[1,1632,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1632 : i32, 1 : i32, 1 : i32]tensor<[1,1632,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1632 : i32, 1 : i32, 1 : i32]tensor<[1,1632,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 192 : i32]tensor<[1,1,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 32 : i32]tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 384 : i32]tensor<[1,1,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1664,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1664 : i32, 1 : i32, 1 : i32]tensor<[1,1664,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1664,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1664 : i32, 1 : i32, 1 : i32]tensor<[1,1664,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[168,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 168 : i32, 1 : i32, 1 : i32]tensor<[1,168,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1696 : i32, 1 : i32, 1 : i32]tensor<[1,1696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1696 : i32, 1 : i32, 1 : i32]tensor<[1,1696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1728 : i32, 1 : i32, 1 : i32]tensor<[1,1728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1728 : i32, 1 : i32, 1 : i32]tensor<[1,1728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1760,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1760 : i32, 1 : i32, 1 : i32]tensor<[1,1760,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1760,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1760 : i32, 1 : i32, 1 : i32]tensor<[1,1760,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1792,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1792 : i32, 1 : i32, 1 : i32]tensor<[1,1792,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1792,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1792 : i32, 1 : i32, 1 : i32]tensor<[1,1792,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1824,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1824 : i32, 1 : i32, 1 : i32]tensor<[1,1824,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 184 : i32, 1 : i32, 1 : i32]tensor<[1,184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 184 : i32, 1 : i32, 1 : i32]tensor<[1,184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 184 : i32, 1 : i32, 1 : i32]tensor<[1,184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1856,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (58, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1856 : i32, 1 : i32, 1 : i32]tensor<[1,1856,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1856 + d1 + d2, d3), memory_config: (58, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1888,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1888 : i32, 1 : i32, 1 : i32]tensor<[1,1888,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1888 + d1 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32]tensor<[1,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1920 : i32, 1 : i32, 1 : i32]tensor<[1,1920,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[196,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 196 : i32, 1 : i32, 1 : i32]tensor<[1,196,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 200 : i32, 1 : i32, 1 : i32]tensor<[1,200,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 200 : i32, 1 : i32, 1 : i32]tensor<[1,200,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 200 : i32, 1 : i32, 1 : i32]tensor<[1,200,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 768 : i32]tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[208,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 208 : i32, 1 : i32, 1 : i32]tensor<[1,208,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[208,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 208 : i32, 1 : i32, 1 : i32]tensor<[1,208,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[20,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 20 : i32, 1 : i32, 1 : i32]tensor<[1,20,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[21843,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 21843 : i32]tensor<[1,21843,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2520,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2520 : i32, 1 : i32, 1 : i32]tensor<[1,2520,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2520,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2520 : i32, 1 : i32, 1 : i32]tensor<[1,2520,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32]tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1280 : i32]tensor<[1,1,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 160 : i32]tensor<[1,1,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 32 : i32]tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32]tensor<[1,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[272,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 272 : i32, 1 : i32, 1 : i32]tensor<[1,272,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[272,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 272 : i32, 1 : i32, 1 : i32]tensor<[1,272,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 256 : i32]tensor<[1,1,1,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[28,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 28 : i32, 1 : i32, 1 : i32]tensor<[1,28,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 512 : i32]tensor<[1,1,1,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2 : i32]tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 128 : i32]tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 320 : i32]tensor<[1,1,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32]tensor<[1,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3129,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3129 : i32]tensor<[1,3129,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[334,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 334 : i32, 1 : i32, 1 : i32]tensor<[1,334,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 334 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[34,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 34 : i32, 1 : i32, 1 : i32]tensor<[1,34,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 352 : i32, 1 : i32, 1 : i32]tensor<[1,352,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 352 : i32, 1 : i32, 1 : i32]tensor<[1,352,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 352 : i32, 1 : i32, 1 : i32]tensor<[1,352,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3712,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3712 : i32, 1 : i32, 1 : i32]tensor<[1,3712,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3712,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3712 : i32, 1 : i32, 1 : i32]tensor<[1,3712,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32]tensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32]tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 320 : i32]tensor<[1,1,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 384 : i32]tensor<[1,1,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32]tensor<[1,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[416,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 416 : i32, 1 : i32, 1 : i32]tensor<[1,416,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[416,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 416 : i32, 1 : i32, 1 : i32]tensor<[1,416,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[462,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 462 : i32, 1 : i32, 1 : i32]tensor<[1,462,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 462 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[46,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 46 : i32, 1 : i32, 1 : i32]tensor<[1,46,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 128 : i32]tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 51200 : i32]tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[528,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 528 : i32, 1 : i32, 1 : i32]tensor<[1,528,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[544,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 544 : i32, 1 : i32, 1 : i32]tensor<[1,544,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 544 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[56,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 56 : i32, 1 : i32, 1 : i32]tensor<[1,56,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[56,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 56 : i32, 1 : i32, 1 : i32]tensor<[1,56,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 128 : i32]tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 512 : i32]tensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32, 1 : i32, 1 : i32]tensor<[1,576,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32, 1 : i32, 1 : i32]tensor<[1,576,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32, 1 : i32, 1 : i32]tensor<[1,576,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[58,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 58 : i32, 1 : i32, 1 : i32]tensor<[1,58,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[608,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 608 : i32, 1 : i32, 1 : i32]tensor<[1,608,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 608 + d1 + d2, d3), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[60,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 60 : i32, 1 : i32, 1 : i32]tensor<[1,60,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32]tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1280 : i32]tensor<[1,1,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 192 : i32]tensor<[1,1,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[68,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 68 : i32, 1 : i32, 1 : i32]tensor<[1,68,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[68,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 68 : i32, 1 : i32, 1 : i32]tensor<[1,68,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 696 : i32, 1 : i32, 1 : i32]tensor<[1,696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 696 : i32, 1 : i32, 1 : i32]tensor<[1,696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[704,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 704 : i32, 1 : i32, 1 : i32]tensor<[1,704,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 704 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[720,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 720 : i32, 1 : i32, 1 : i32]tensor<[1,720,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[720,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 720 : i32, 1 : i32, 1 : i32]tensor<[1,720,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 728 : i32, 1 : i32, 1 : i32]tensor<[1,728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 728 : i32, 1 : i32, 1 : i32]tensor<[1,728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[736,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 736 : i32, 1 : i32, 1 : i32]tensor<[1,736,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 736 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32, 1 : i32]tensor<[1,768,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 384 : i32]tensor<[1,1,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[784,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 784 : i32]tensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[78,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 78 : i32, 1 : i32, 1 : i32]tensor<[1,78,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4544,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 4544 : i32]tensor<[1,1,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 2048 : i32]tensor<[1,1,1,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 4096 : i32]tensor<[1,1,1,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[800,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 800 : i32, 1 : i32, 1 : i32]tensor<[1,800,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[816,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 816 : i32, 1 : i32, 1 : i32]tensor<[1,816,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[816,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 816 : i32, 1 : i32, 1 : i32]tensor<[1,816,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[832,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 832 : i32, 1 : i32, 1 : i32]tensor<[1,832,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[864,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (27, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 864 : i32, 1 : i32, 1 : i32]tensor<[1,864,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 + d2, d3), memory_config: (27, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[88,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 88 : i32, 1 : i32, 1 : i32]tensor<[1,88,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[896,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 896 : i32, 1 : i32, 1 : i32]tensor<[1,896,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[896,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 896 : i32, 1 : i32, 1 : i32]tensor<[1,896,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[928,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 928 : i32, 1 : i32, 1 : i32]tensor<[1,928,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[928,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 928 : i32, 1 : i32, 1 : i32]tensor<[1,928,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[92,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 92 : i32, 1 : i32, 1 : i32]tensor<[1,92,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 92 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[98,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 98 : i32, 1 : i32, 1 : i32]tensor<[1,98,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[992,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 992 : i32, 1 : i32, 1 : i32]tensor<[1,992,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[992,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 992 : i32, 1 : i32, 1 : i32]tensor<[1,992,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 128 : i32]tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 2048 : i32]tensor<[1,1,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32]tensor<[1,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32]tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32]tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[262,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 262 : i32]tensor<[1,262,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[10240,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 320, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 10240 : i32]tensor<[1,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32]tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32]tensor<[1,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32]tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2 : i32]tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32]tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32]tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32]tensor<[1,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[6144,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6144 : i32]tensor<[1,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32]tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2304,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2304 : i32]tensor<[1,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2 : i32]tensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[30522,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 30522 : i32]tensor<[1,30522,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[38,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 38 : i32]tensor<[1,38,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[50257,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50257 : i32]tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32]tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32]tensor<[1,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32]tensor<[1,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32]tensor<[1,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32]tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32]tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32]tensor<[1,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4608,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4608 : i32]tensor<[1,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[6144,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6144 : i32]tensor<[1,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2560,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 80, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2560 : i32]tensor<[1,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 80, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32]tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32]tensor<[1,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32]tensor<[1,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32]tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32]tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32]tensor<[1,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 36, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32]tensor<[1,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2304,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2304 : i32]tensor<[1,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32]tensor<[1,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4608,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4608 : i32]tensor<[1,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32]tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 51200 : i32]tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[10240,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 320, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 10240 : i32]tensor<[1,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 320, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32]tensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32]tensor<[1,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32]tensor<[1,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32]tensor<[1,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 256 : i32]tensor<[1,1,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 4 : i32]tensor<[1,1,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[92,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 92 : i32]tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32]tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[196,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 196 : i32]tensor<[1,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32]tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2304,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2304 : i32]tensor<[1,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32]tensor<[1,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32]tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32]tensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16384,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32]tensor<[1,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32]tensor<[1,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[30000,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 30000 : i32]tensor<[1,30000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32]tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8192 : i32]tensor<[1,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,11,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [11 : i32]tensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [12 : i32]tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [13 : i32]tensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [14 : i32]tensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,15,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [15 : i32]tensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [16 : i32]tensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,17,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [17 : i32]tensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,18,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [18 : i32]tensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,19,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [19 : i32]tensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,20,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [20 : i32]tensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,21,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [21 : i32]tensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,22,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [22 : i32]tensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,23,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [23 : i32]tensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,24,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [24 : i32]tensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [25 : i32]tensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,26,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [26 : i32]tensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,27,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [27 : i32]tensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,28,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [28 : i32]tensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,29,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [29 : i32]tensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [32 : i32]tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [5 : i32]tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [6 : i32]tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [7 : i32]tensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,8,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [8 : i32]tensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [9 : i32]tensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [32 : i32]tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 1024 : i32]tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1024 : i32]tensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 1024 : i32]tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1024 : i32]tensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 1024 : i32]tensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1536 : i32]tensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,128,128,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 1024 : i32]tensor<[1,1,16384,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 256, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 256 : i32]tensor<[1,128,128,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1024 : i32]tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1024 : i32]tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1024 : i32]tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1024 : i32]tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1024 : i32]tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1024 : i32]tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1024 : i32]tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1024 : i32]tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1024 : i32]tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2048, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 2048 : i32]tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1024 : i32]tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 2048 : i32]tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1024 : i32]tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1024 : i32]tensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 1024 : i32]tensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1024 : i32]tensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 1 : i32, 1 : i32]tensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 1024 : i32]tensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 255 : i32]tensor<[1,16,16,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')nannan
ttnn.reshapetensor<[255,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [255 : i32, 1 : i32, 1 : i32]tensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 255 : i32, 1 : i32, 1 : i32]tensor<[1,255,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 1024 : i32]tensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 512 : i32]tensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 1024 : i32]tensor<[1,1,289,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 128, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 128 : i32]tensor<[1,17,17,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 1024 : i32]tensor<[1,1,289,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 192 : i32]tensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 1024 : i32]tensor<[1,1,289,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 256 : i32]tensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 1024 : i32]tensor<[1,1,289,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 384 : i32]tensor<[1,17,17,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 1024 : i32]tensor<[1,1,361,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1024 : i32]tensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1024, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 1 : i32, 1 : i32]tensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 1024 : i32]tensor<[1,1,784,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1024 : i32]tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 1024 : i32]tensor<[1,1,784,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3600 : i32, 1024 : i32]tensor<[1,1,3600,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,920,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')shape: [1 : i32, 23 : i32, 40 : i32, 2048 : i32]tensor<[1,23,40,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3600 : i32, 1024 : i32]tensor<[1,1,3600,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')shape: [1 : i32, 45 : i32, 80 : i32, 256 : i32]tensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3600 : i32, 1024 : i32]tensor<[1,1,3600,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 512, 'bf16', 'dram')shape: [1 : i32, 45 : i32, 80 : i32, 512 : i32]tensor<[1,45,80,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 512 : i32, 1 : i32]tensor<[1,1024,512,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 524288 + d1 * 512 + d2, d3), memory_config: (16384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1024,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[256,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32, 1024 : i32]tensor<[1,1,512,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 512 + d2, d3), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,512,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 256, 'bf16', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 256 : i32]tensor<[1,512,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,256,512,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 131072 + d1 * 512 + d2, d3), memory_config: (4096, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 512 : i32]tensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1 : i32]tensor<[256,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32]tensor<[1,256,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1024 : i32]tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1024 : i32]tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1024 : i32]tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1024 : i32]tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1024 : i32]tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 2048 : i32]tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[2048,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [2048 : i32, 1 : i32, 1 : i32]tensor<[2048,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1024 : i32]tensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 2048 : i32]tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,102,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 102 : i32]tensor<[1,1,3136,102,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 40, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 40 : i32]tensor<[1,56,56,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1056,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 33, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1056 : i32]tensor<[1,1,196,1056,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 33, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1056,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 33, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1056 : i32]tensor<[1,1,49,1056,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 33, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 34, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1072 : i32]tensor<[1,1,49,1072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 34, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,462,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 462, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 462 : i32]tensor<[1,7,7,462,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 462, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1088,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 34, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1088 : i32]tensor<[1,1,196,1088,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 34, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1088,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 34, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1088 : i32]tensor<[1,1,196,1088,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 34, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 768 : i32]tensor<[1,14,14,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1088,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 34, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1088 : i32]tensor<[1,1,49,1088,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 34, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 35, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1120 : i32]tensor<[1,1,196,1120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 35, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 35, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1120 : i32]tensor<[1,1,49,1120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 35, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 112 : i32]tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 112, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 112 : i32]tensor<[1,7,7,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 112, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 112 : i32]tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 224, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 224 : i32]tensor<[1,14,14,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 224, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 112 : i32]tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 336 : i32]tensor<[1,14,14,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 112 : i32]tensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 672 : i32]tensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,15,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 225 : i32, 112 : i32]tensor<[1,1,225,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,225,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 15 : i32, 672 : i32]tensor<[1,15,15,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 112 : i32]tensor<[1,1,400,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 672 : i32]tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,24,24,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 576 : i32, 112 : i32]tensor<[1,1,576,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 672 : i32]tensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 112 : i32]tensor<[1,1,49,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 160 : i32]tensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 112 : i32]tensor<[1,1,49,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 672 : i32]tensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 36, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1152 : i32]tensor<[1,1,196,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1152 : i32]tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1152 : i32]tensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1152 : i32]tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1152 : i32]tensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1152 : i32]tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1152 : i32]tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 192 : i32]tensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1152 : i32]tensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 320 : i32]tensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 1152 : i32]tensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 1152 : i32]tensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 1152 : i32]tensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 1152 : i32]tensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 1152 : i32]tensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 192 : i32]tensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 1152 : i32]tensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 320 : i32]tensor<[1,8,8,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 116 : i32]tensor<[1,1,196,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 40 : i32]tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 37, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1184 : i32]tensor<[1,1,196,1184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 37, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 37, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1184 : i32]tensor<[1,1,49,1184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 37, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,118,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 118 : i32]tensor<[1,1,784,118,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 34 : i32]tensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 120 : i32]tensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 120 : i32]tensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 120 : i32]tensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 120 : i32]tensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 120 : i32]tensor<[1,1,289,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 720 : i32]tensor<[1,17,17,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 120 : i32]tensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 32 : i32]tensor<[1,1,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 1 : i32, 1 : i32]tensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 120 : i32]tensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 480, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 480 : i32]tensor<[1,1,1,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[480,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')shape: [480 : i32, 1 : i32, 1 : i32]tensor<[480,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 120 : i32]tensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 120 : i32]tensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 120 : i32]tensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 120 : i32]tensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 120 : i32]tensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 20 : i32]tensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 120 : i32]tensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 40 : i32]tensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1600 : i32, 120 : i32]tensor<[1,1,1600,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1600,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')shape: [1 : i32, 40 : i32, 40 : i32, 120 : i32]tensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1600 : i32, 120 : i32]tensor<[1,1,1600,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1600,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')shape: [1 : i32, 40 : i32, 40 : i32, 40 : i32]tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1216,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 38, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1216 : i32]tensor<[1,1,196,1216,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 38, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1216,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 38, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1216 : i32]tensor<[1,1,49,1216,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 38, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,122,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 122 : i32]tensor<[1,1,784,122,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 46 : i32]tensor<[1,28,28,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 39, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1248 : i32]tensor<[1,1,196,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 39, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1248 : i32]tensor<[1,1,49,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 81 : i32, 1248 : i32]tensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')shape: [1 : i32, 9 : i32, 9 : i32, 1248 : i32]tensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 81 : i32, 1248 : i32]tensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')shape: [1 : i32, 9 : i32, 9 : i32, 1248 : i32]tensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 81 : i32, 1248 : i32]tensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,81,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')shape: [1 : i32, 9 : i32, 9 : i32, 208 : i32]tensor<[1,9,9,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 81 : i32, 1248 : i32]tensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,81,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 352, 'bf16', 'dram')shape: [1 : i32, 9 : i32, 9 : i32, 352 : i32]tensor<[1,9,9,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 352, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,124,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 124 : i32]tensor<[1,1,3136,124,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1280 : i32]tensor<[1,1,196,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 1280 : i32]tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1280 : i32]tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 1280 : i32]tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1280 : i32]tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 1280 : i32]tensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 1280 : i32]tensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,30,40,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1200 : i32, 1280 : i32]tensor<[1,1,1200,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1200,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 1280, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 40 : i32, 1280 : i32]tensor<[1,30,40,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 1280 : i32]tensor<[1,1,1024,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1280, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 1280 : i32]tensor<[1,32,32,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 1280 : i32]tensor<[1,1,1024,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 1280 : i32]tensor<[1,1,1024,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1280 : i32]tensor<[1,1,49,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1280 : i32]tensor<[1,1,49,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 512 : i32]tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 1280 : i32]tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 1280 : i32]tensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 1280 : i32]tensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 1280 : i32]tensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 128 : i32]tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 128 : i32]tensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 128 : i32]tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 128 : i32]tensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,120,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 19200 : i32, 128 : i32]tensor<[1,1,19200,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')shape: [1 : i32, 120 : i32, 160 : i32, 64 : i32]tensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 128 : i32]tensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 128 : i32]tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 128 : i32]tensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 256 : i32]tensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 128 : i32]tensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 64 : i32]tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 128 : i32]tensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 64 : i32]tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 128 : i32]tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 128 : i32]tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 128 : i32]tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 128 : i32]tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 32 : i32]tensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 128 : i32]tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22500 : i32, 128 : i32]tensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')shape: [1 : i32, 150 : i32, 150 : i32, 128 : i32]tensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22500 : i32, 128 : i32]tensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')shape: [1 : i32, 150 : i32, 150 : i32, 128 : i32]tensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22500 : i32, 128 : i32]tensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 128 : i32]tensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,180,320,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 57600 : i32, 128 : i32]tensor<[1,1,57600,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')shape: [1 : i32, 90 : i32, 160 : i32, 128 : i32]tensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 128 : i32]tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 128 : i32]tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 128 : i32]tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'f32', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 24 : i32]tensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'f32', 'dram')nannan
ttnn.reshapetensor<[24,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 1 : i32, 1 : i32]tensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 128 : i32]tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 546, 'f32', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 546 : i32]tensor<[1,1,1,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 546, 'f32', 'dram')nannan
ttnn.reshapetensor<[546,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')shape: [546 : i32, 1 : i32, 1 : i32]tensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 546 : i32, 1 : i32, 1 : i32]tensor<[1,546,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,224,224,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 128 : i32]tensor<[1,1,50176,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')shape: [1 : i32, 224 : i32, 224 : i32, 64 : i32]tensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 16 : i32]tensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 192 : i32]tensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 19 : i32]tensor<[1,28,28,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')nannan
ttnn.reshapetensor<[19,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [19 : i32, 1 : i32, 1 : i32]tensor<[19,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[19,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 19 : i32, 1 : i32, 1 : i32]tensor<[1,19,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 32 : i32]tensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 38 : i32]tensor<[1,28,28,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')nannan
ttnn.reshapetensor<[38,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [38 : i32, 1 : i32, 1 : i32]tensor<[38,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[38,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 38 : i32, 1 : i32, 1 : i32]tensor<[1,38,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [512 : i32, 1 : i32, 1 : i32]tensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,2,2,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 4 : i32, 128 : i32]tensor<[1,1,4,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,4,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')shape: [1 : i32, 2 : i32, 2 : i32, 256 : i32]tensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,30,40,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1200 : i32, 128 : i32]tensor<[1,1,1200,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 40 : i32, 64 : i32]tensor<[1,30,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 128 : i32]tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 128 : i32]tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 128 : i32]tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 128 : i32]tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 128 : i32]tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 256 : i32]tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 128 : i32]tensor<[1,1,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,4,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 128, 'f32', 'dram')shape: [1 : i32, 2 : i32, 2 : i32, 128 : i32]tensor<[1,2,2,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 128, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 128 : i32]tensor<[1,1,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 256 : i32]tensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 256 : i32]tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 256 : i32]tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1 : i32, 1 : i32]tensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1 : i32, 1 : i32]tensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 256 : i32]tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 32 : i32]tensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 64 : i32]tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,5,5,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 25 : i32, 128 : i32]tensor<[1,1,25,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 128 : i32]tensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4800 : i32, 128 : i32]tensor<[1,1,4800,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,300,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 128, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 20 : i32, 128 : i32]tensor<[1,15,20,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4800 : i32, 128 : i32]tensor<[1,1,4800,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1200,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 320, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 40 : i32, 320 : i32]tensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [320 : i32, 1 : i32, 1 : i32]tensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4800 : i32, 128 : i32]tensor<[1,1,4800,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 80 : i32, 64 : i32]tensor<[1,60,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4800 : i32, 128 : i32]tensor<[1,1,4800,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 80 : i32, 64 : i32]tensor<[1,60,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 128 : i32]tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 128 : i32]tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 128 : i32]tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 128 : i32]tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 128 : i32]tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 128 : i32]tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 128 : i32]tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 255 : i32]tensor<[1,64,64,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')nannan
ttnn.reshapetensor<[255,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [255 : i32, 1 : i32, 1 : i32]tensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 255 : i32, 1 : i32, 1 : i32]tensor<[1,255,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 128 : i32]tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 256 : i32]tensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 128 : i32]tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 256 : i32]tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 128 : i32]tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 64 : i32]tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 128 : i32]tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 128 : i32]tensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 128 : i32]tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 128 : i32]tensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 128 : i32]tensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 256 : i32]tensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 128 : i32]tensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 32 : i32]tensor<[1,7,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14400 : i32, 128 : i32]tensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')shape: [1 : i32, 90 : i32, 160 : i32, 128 : i32]tensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14400 : i32, 128 : i32]tensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14400,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')shape: [1 : i32, 90 : i32, 160 : i32, 512 : i32]tensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 12 : i32]tensor<[1,1,3136,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 12 : i32]tensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1312,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 41, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1312 : i32]tensor<[1,1,196,1312,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 41, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1312,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 41, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1312 : i32]tensor<[1,1,49,1312,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 41, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1344 : i32]tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1344 : i32]tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1344 : i32]tensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1344 : i32]tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1344 : i32]tensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1344 : i32]tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2520, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 2520 : i32]tensor<[1,14,14,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2520, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1344 : i32]tensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 2520 : i32]tensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 42, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 1344 : i32]tensor<[1,1,784,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1344 : i32]tensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 42, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1344 : i32]tensor<[1,1,49,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 136 : i32]tensor<[1,1,361,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 816 : i32]tensor<[1,19,19,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1376,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 43, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1376 : i32]tensor<[1,1,196,1376,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 43, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1376,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 43, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1376 : i32]tensor<[1,1,49,1376,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 43, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 1392 : i32]tensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1392 : i32]tensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 1392 : i32]tensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1392 : i32]tensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 1392 : i32]tensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 232 : i32]tensor<[1,10,10,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 1392 : i32]tensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 384, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 384 : i32]tensor<[1,10,10,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 384, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1392 : i32]tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1392 : i32]tensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1392 : i32]tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1392 : i32]tensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1392 : i32]tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 3712, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 3712 : i32]tensor<[1,14,14,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 3712, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1392 : i32]tensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 3712 : i32]tensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1392 : i32]tensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 174 : i32]tensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')nannan
ttnn.reshapetensor<[174,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')shape: [174 : i32, 1 : i32, 1 : i32]tensor<[174,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[174,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 174 : i32, 1 : i32, 1 : i32]tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1392 : i32]tensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 348 : i32]tensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')nannan
ttnn.reshapetensor<[348,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')shape: [348 : i32, 1 : i32, 1 : i32]tensor<[348,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[348,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 348 : i32, 1 : i32, 1 : i32]tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 1392 : i32]tensor<[1,1,784,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1392 : i32]tensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1408,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1408 : i32]tensor<[1,1,196,1408,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1408,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1408 : i32]tensor<[1,1,49,1408,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,142,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 142 : i32]tensor<[1,1,3136,142,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 68, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 68 : i32]tensor<[1,56,56,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 68, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1440,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 45, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1440 : i32]tensor<[1,1,196,1440,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 45, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1440,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 45, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1440 : i32]tensor<[1,1,49,1440,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 45, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1440,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 45, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1440 : i32]tensor<[1,1,49,1440,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 45, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 144 : i32]tensor<[1,1,196,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 288, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 288 : i32]tensor<[1,14,14,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 288, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,151,151,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22801 + d1 * 151 + d2, d3), memory_config: (713, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22801 : i32, 144 : i32]tensor<[1,1,22801,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22801 + d1 * 22801 + d2, d3), memory_config: (713, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 144, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 144 : i32]tensor<[1,75,75,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,191,191,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36481 + d1 * 191 + d2, d3), memory_config: (1141, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 36481 : i32, 144 : i32]tensor<[1,1,36481,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36481 + d1 * 36481 + d2, d3), memory_config: (1141, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9025,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 144, 'bf16', 'dram')shape: [1 : i32, 95 : i32, 95 : i32, 144 : i32]tensor<[1,95,95,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 144 : i32]tensor<[1,1,784,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 28 : i32]tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 144 : i32]tensor<[1,1,784,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 32 : i32]tensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 144 : i32]tensor<[1,1,784,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 40 : i32]tensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,30,30,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 900 : i32, 144 : i32]tensor<[1,1,900,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 900 + d2, d3), memory_config: (29, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,900,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 30 : i32, 40 : i32]tensor<[1,30,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,33,33,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1089 : i32, 144 : i32]tensor<[1,1,1089,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 1089 + d2, d3), memory_config: (35, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1089,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')shape: [1 : i32, 33 : i32, 33 : i32, 48 : i32]tensor<[1,33,33,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 144 : i32]tensor<[1,1,3136,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 144 : i32]tensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 144 : i32]tensor<[1,1,3136,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 144 : i32]tensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 144 : i32]tensor<[1,1,3136,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 24 : i32]tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,59,59,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3481 + d1 * 59 + d2, d3), memory_config: (109, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3481 : i32, 144 : i32]tensor<[1,1,3481,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3481 + d1 * 3481 + d2, d3), memory_config: (109, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 144 : i32]tensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,60,60,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3600 : i32, 144 : i32]tensor<[1,1,3600,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 60 : i32, 144 : i32]tensor<[1,60,60,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,60,60,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3600 : i32, 144 : i32]tensor<[1,1,3600,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 60 : i32, 24 : i32]tensor<[1,60,60,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,63,63,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3969 + d1 * 63 + d2, d3), memory_config: (125, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3969 : i32, 144 : i32]tensor<[1,1,3969,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3969 + d1 * 3969 + d2, d3), memory_config: (125, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,900,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 144, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 30 : i32, 144 : i32]tensor<[1,30,30,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,65,65,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4225 : i32, 144 : i32]tensor<[1,1,4225,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 4225 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4225,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')shape: [1 : i32, 65 : i32, 65 : i32, 144 : i32]tensor<[1,65,65,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,65,65,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4225 : i32, 144 : i32]tensor<[1,1,4225,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 4225 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4225,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')shape: [1 : i32, 65 : i32, 65 : i32, 24 : i32]tensor<[1,65,65,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,69,69,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4761 + d1 * 69 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4761 : i32, 144 : i32]tensor<[1,1,4761,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4761 + d1 * 4761 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1089,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 144, 'bf16', 'dram')shape: [1 : i32, 33 : i32, 33 : i32, 144 : i32]tensor<[1,33,33,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,75,75,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 144 : i32]tensor<[1,1,5625,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 32 : i32]tensor<[1,75,75,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 144 : i32]tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 144 : i32]tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 144 : i32]tensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 144 : i32]tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 18, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 18 : i32]tensor<[1,7,7,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 18, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 144 : i32]tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 256 : i32]tensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 144 : i32]tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 36, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 36 : i32]tensor<[1,7,7,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 36, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 144 : i32]tensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 72, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 72 : i32]tensor<[1,7,7,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,95,95,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9025 : i32, 144 : i32]tensor<[1,1,9025,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 9025 + d2, d3), memory_config: (283, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9025,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')shape: [1 : i32, 95 : i32, 95 : i32, 32 : i32]tensor<[1,95,95,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1472,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 46, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1472 : i32]tensor<[1,1,196,1472,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 46, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1472,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 46, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1472 : i32]tensor<[1,1,49,1472,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 46, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1504,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 47, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1504 : i32]tensor<[1,1,196,1504,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1504,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 47, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1504 : i32]tensor<[1,1,49,1504,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 152 : i32]tensor<[1,1,784,152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 58 : i32]tensor<[1,28,28,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 1536 : i32]tensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1536 : i32]tensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 1536 : i32]tensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1536 : i32]tensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 1536 : i32]tensor<[1,1,100,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 2048, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 2048 : i32]tensor<[1,10,10,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1536 : i32]tensor<[1,1,196,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1536 : i32]tensor<[1,1,49,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 1536 : i32]tensor<[1,1,64,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 256 : i32]tensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 1536 : i32]tensor<[1,1,64,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 384, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 384 : i32]tensor<[1,8,8,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 384, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1568,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 49, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1568 : i32]tensor<[1,1,196,1568,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 49, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1568,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 49, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1568 : i32]tensor<[1,1,49,1568,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 49, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,156,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 156 : i32]tensor<[1,1,196,156,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 68 : i32]tensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1600,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 50, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1600 : i32]tensor<[1,1,196,1600,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 50, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1600,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 50, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1600 : i32]tensor<[1,1,49,1600,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 50, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 160 : i32]tensor<[1,1,196,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 320, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 320 : i32]tensor<[1,14,14,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,24,24,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 576 : i32, 160 : i32]tensor<[1,1,576,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 960 : i32]tensor<[1,24,24,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 160 : i32]tensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 160 : i32]tensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 160 : i32]tensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 160 : i32]tensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 160 : i32]tensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 160 : i32]tensor<[1,1,1024,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 160, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 160 : i32]tensor<[1,16,16,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[160,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')shape: [160 : i32, 1 : i32, 1 : i32]tensor<[160,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 160 : i32]tensor<[1,1,1024,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 256 : i32]tensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1 : i32, 1 : i32]tensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3,3,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 160 : i32]tensor<[1,1,9,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 960 : i32]tensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 160 : i32]tensor<[1,1,3136,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,73,73,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5329 : i32, 160 : i32]tensor<[1,1,5329,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (167, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')shape: [1 : i32, 73 : i32, 73 : i32, 64 : i32]tensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 160 : i32]tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 320 : i32]tensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 160 : i32]tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 480 : i32]tensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 160 : i32]tensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 960 : i32]tensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 144 : i32, 1632 : i32]tensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 1632 : i32]tensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 144 : i32, 1632 : i32]tensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 1632 : i32]tensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 144 : i32, 1632 : i32]tensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,144,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 272 : i32]tensor<[1,12,12,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 144 : i32, 1632 : i32]tensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,144,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 448, 'bf16', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 448 : i32]tensor<[1,12,12,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 448, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 51, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1632 : i32]tensor<[1,1,196,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 51, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1632 : i32]tensor<[1,1,49,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1664,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 52, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1664 : i32]tensor<[1,1,196,1664,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 52, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1664,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 52, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1664 : i32]tensor<[1,1,49,1664,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 52, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 168 : i32]tensor<[1,1,1,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 672, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 672 : i32]tensor<[1,1,1,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[672,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')shape: [672 : i32, 1 : i32, 1 : i32]tensor<[672,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 53, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1696 : i32]tensor<[1,1,196,1696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 53, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 53, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1696 : i32]tensor<[1,1,49,1696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 53, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 16 : i32]tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 16 : i32]tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 16 : i32]tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 16 : i32]tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 16 : i32]tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 16, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 16 : i32]tensor<[1,56,56,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 16 : i32]tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 24 : i32]tensor<[1,112,112,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 16 : i32]tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 64 : i32]tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 16 : i32]tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 8 : i32]tensor<[1,112,112,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 16 : i32]tensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 96, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 96 : i32]tensor<[1,112,112,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,120,120,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14400 : i32, 16 : i32]tensor<[1,1,14400,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14400,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 96, 'bf16', 'dram')shape: [1 : i32, 120 : i32, 120 : i32, 96 : i32]tensor<[1,120,120,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,130,130,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16900 : i32, 16 : i32]tensor<[1,1,16900,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 16900 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16900,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 96, 'bf16', 'dram')shape: [1 : i32, 130 : i32, 130 : i32, 96 : i32]tensor<[1,130,130,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 16 : i32]tensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 48, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 48 : i32]tensor<[1,14,14,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 48, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 16 : i32]tensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 4, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 4 : i32]tensor<[1,14,14,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 4, 'bf16', 'dram')nannan
ttnn.reshapetensor<[4,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 1 : i32, 1 : i32]tensor<[4,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4 : i32, 1 : i32, 1 : i32]tensor<[1,4,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 25600 : i32, 16 : i32]tensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 25600 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')shape: [1 : i32, 160 : i32, 160 : i32, 16 : i32]tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 25600 : i32, 16 : i32]tensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 25600 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')shape: [1 : i32, 160 : i32, 160 : i32, 16 : i32]tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 25600 : i32, 16 : i32]tensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 25600 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25600,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 64, 'f32', 'dram')shape: [1 : i32, 160 : i32, 160 : i32, 64 : i32]tensor<[1,160,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 64, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,224,224,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 16 : i32]tensor<[1,1,50176,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50176,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')shape: [1 : i32, 224 : i32, 224 : i32, 16 : i32]tensor<[1,224,224,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,224,224,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 16 : i32]tensor<[1,1,50176,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 32 : i32]tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 16 : i32]tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 32 : i32]tensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 16 : i32]tensor<[1,1,3136,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 24 : i32]tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 54, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1728 : i32]tensor<[1,1,196,1728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 54, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 54, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1728 : i32]tensor<[1,1,49,1728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 54, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,172,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 172 : i32]tensor<[1,1,784,172,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 46 : i32]tensor<[1,28,28,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 174 : i32]tensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1392 : i32]tensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1392,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')shape: [1392 : i32, 1 : i32, 1 : i32]tensor<[1392,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 174 : i32]tensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 696 : i32]tensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')nannan
ttnn.reshapetensor<[696,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')shape: [696 : i32, 1 : i32, 1 : i32]tensor<[696,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[696,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 696 : i32, 1 : i32, 1 : i32]tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1760,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 55, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1760 : i32]tensor<[1,1,196,1760,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 55, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1760,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 55, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1760 : i32]tensor<[1,1,49,1760,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 55, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1792,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 56, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 1792 : i32]tensor<[1,1,196,1792,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 56, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 896, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 896 : i32]tensor<[1,14,14,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 896, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1792,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 56, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1792 : i32]tensor<[1,1,49,1792,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 56, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1824,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 57, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1824 : i32]tensor<[1,1,49,1824,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 57, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 184 : i32]tensor<[1,1,196,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 184 : i32]tensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 184 : i32]tensor<[1,1,196,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 40 : i32]tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 184 : i32]tensor<[1,1,196,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 80 : i32]tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 184 : i32]tensor<[1,1,400,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 184 : i32]tensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 184 : i32]tensor<[1,1,400,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 80 : i32]tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 184 : i32]tensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 184 : i32]tensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 184 : i32]tensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 184 : i32]tensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1856,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 58, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1856 : i32]tensor<[1,1,49,1856,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 58, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,185,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 185 : i32]tensor<[1,1,784,185,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1888,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 59, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 1888 : i32]tensor<[1,1,49,1888,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 59, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 18 : i32]tensor<[1,1,196,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 144 : i32]tensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 18 : i32]tensor<[1,1,784,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 18 : i32]tensor<[1,14,14,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 18 : i32]tensor<[1,1,784,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 72 : i32]tensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 18 : i32]tensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 18 : i32]tensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 18 : i32]tensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 18 : i32]tensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 18 : i32]tensor<[1,28,28,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 18 : i32]tensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 32 : i32]tensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 18 : i32]tensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 36 : i32]tensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 60, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 1920 : i32]tensor<[1,1,256,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 60, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1280 : i32]tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 60, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 1920 : i32]tensor<[1,1,256,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 60, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1280 : i32]tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 60, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 1920 : i32]tensor<[1,1,1024,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 60, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 60, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 1920 : i32]tensor<[1,1,1024,1920,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 60, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 192 : i32]tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 192 : i32]tensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 192 : i32]tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 192 : i32]tensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 192 : i32]tensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 64 : i32]tensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 192 : i32]tensor<[1,1,289,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 192 : i32]tensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 192 : i32]tensor<[1,1,289,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 192 : i32]tensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 192 : i32]tensor<[1,1,289,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 224 : i32]tensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 192 : i32]tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 192 : i32]tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 16 : i32]tensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 192 : i32]tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 192 : i32]tensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 192 : i32]tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 192 : i32]tensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 192 : i32]tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 32 : i32]tensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 192 : i32]tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 64 : i32]tensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 192 : i32]tensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 96 : i32]tensor<[1,28,28,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,35,35,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1225 : i32, 192 : i32]tensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1225,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 224, 'bf16', 'dram')shape: [1 : i32, 35 : i32, 35 : i32, 224 : i32]tensor<[1,35,35,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 224, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 192 : i32]tensor<[1,1,1444,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 48 : i32]tensor<[1,38,38,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,48,48,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 2304 : i32, 192 : i32]tensor<[1,1,2304,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 2304 + d2, d3), memory_config: (72, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,2304,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')shape: [1 : i32, 48 : i32, 48 : i32, 56 : i32]tensor<[1,48,48,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 192 : i32]tensor<[1,1,3136,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,71,71,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (158, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5041 : i32, 192 : i32]tensor<[1,1,5041,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 5041 + d2, d3), memory_config: (158, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')shape: [1 : i32, 35 : i32, 35 : i32, 192 : i32]tensor<[1,35,35,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,75,75,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 192 : i32]tensor<[1,1,5625,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 192 : i32]tensor<[1,75,75,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,75,75,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 192 : i32]tensor<[1,1,5625,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 32 : i32]tensor<[1,75,75,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,79,79,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6241 + d1 * 79 + d2, d3), memory_config: (196, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 6241 : i32, 192 : i32]tensor<[1,1,6241,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6241 + d1 * 6241 + d2, d3), memory_config: (196, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 192, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 192 : i32]tensor<[1,38,38,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 192 : i32]tensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1152 : i32]tensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 192 : i32]tensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 384 : i32]tensor<[1,7,7,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 192 : i32]tensor<[1,1,64,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 1152 : i32]tensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,95,95,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9025 : i32, 192 : i32]tensor<[1,1,9025,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 9025 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9025,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')shape: [1 : i32, 95 : i32, 95 : i32, 192 : i32]tensor<[1,95,95,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,95,95,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9025 : i32, 192 : i32]tensor<[1,1,9025,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 9025 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9025,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')shape: [1 : i32, 95 : i32, 95 : i32, 32 : i32]tensor<[1,95,95,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,99,99,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9801 + d1 * 99 + d2, d3), memory_config: (307, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9801 : i32, 192 : i32]tensor<[1,1,9801,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9801 + d1 * 9801 + d2, d3), memory_config: (307, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,2304,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 192, 'bf16', 'dram')shape: [1 : i32, 48 : i32, 48 : i32, 192 : i32]tensor<[1,48,48,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,196,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 196 : i32]tensor<[1,1,196,196,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 40 : i32]tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 1 : i32]tensor<[1,1,784,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 16 : i32]tensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[16,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 1 : i32]tensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 1 : i32]tensor<[1,1,784,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,676,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 26 + d2, d3), memory_config: (676, 32, 'bf16', 'dram')shape: [1 : i32, 26 : i32, 26 : i32, 32 : i32]tensor<[1,26,26,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 26 + d2, d3), memory_config: (676, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 1 : i32, 1 : i32]tensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 200 : i32]tensor<[1,1,196,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 200 : i32]tensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 200 : i32]tensor<[1,1,196,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 40 : i32]tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 200 : i32]tensor<[1,1,196,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 80 : i32]tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 200 : i32]tensor<[1,1,400,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 200 : i32]tensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 200 : i32]tensor<[1,1,400,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 80 : i32]tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 200 : i32]tensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 200 : i32]tensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 200 : i32]tensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 200 : i32]tensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 2048 : i32]tensor<[1,1,196,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 2048 : i32]tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,20,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 300 : i32, 2048 : i32]tensor<[1,1,300,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 300 + d2, d3), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,300,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 2048, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 20 : i32, 2048 : i32]tensor<[1,15,20,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[2048,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [2048 : i32, 1 : i32, 1 : i32]tensor<[2048,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,23,40,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 920 : i32, 2048 : i32]tensor<[1,1,920,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 920 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,920,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 256, 'bf16', 'dram')shape: [1 : i32, 23 : i32, 40 : i32, 256 : i32]tensor<[1,23,40,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1 : i32, 1 : i32]tensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,23,40,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 920 : i32, 2048 : i32]tensor<[1,1,920,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 920 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')shape: [1 : i32, 23 : i32, 40 : i32, 512 : i32]tensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 2048 : i32]tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 2048 : i32]tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 2048 : i32]tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 2048 : i32]tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 2048 : i32]tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 2048 : i32]tensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 512 : i32]tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,9,9,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 81 : i32, 208 : i32]tensor<[1,1,81,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,81,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')shape: [1 : i32, 9 : i32, 9 : i32, 1248 : i32]tensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 20 : i32]tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 72 : i32]tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[72,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [72 : i32, 1 : i32, 1 : i32]tensor<[72,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 20 : i32]tensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 20 : i32]tensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,218,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 218 : i32]tensor<[1,1,784,218,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 78, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 78 : i32]tensor<[1,28,28,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 78, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 224 : i32]tensor<[1,1,289,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 224 : i32]tensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 224 : i32]tensor<[1,1,289,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 256 : i32]tensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 224 : i32]tensor<[1,1,289,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 256 : i32]tensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 224 : i32]tensor<[1,1,784,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,35,35,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1225 : i32, 224 : i32]tensor<[1,1,1225,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 256 : i32]tensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 224 : i32]tensor<[1,1,3136,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 224 : i32]tensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 224 : i32]tensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 224 : i32]tensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 224 : i32]tensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 232 : i32]tensor<[1,1,100,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1392 : i32]tensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 232 : i32]tensor<[1,1,12544,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 232 : i32]tensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 232 : i32]tensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 58 : i32]tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')nannan
ttnn.reshapetensor<[58,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [58 : i32, 1 : i32, 1 : i32]tensor<[58,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[58,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 58 : i32, 1 : i32, 1 : i32]tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 232 : i32]tensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 8 : i32]tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'bf16', 'dram')nannan
ttnn.reshapetensor<[8,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 1 : i32]tensor<[8,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 232 : i32]tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 232 : i32]tensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 232 : i32]tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 232 : i32]tensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 232 : i32]tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 696, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 696 : i32]tensor<[1,56,56,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 696, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 232 : i32]tensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 696 : i32]tensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,236,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 236 : i32]tensor<[1,1,196,236,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 68 : i32]tensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 240 : i32]tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 240 : i32]tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 240 : i32]tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 240 : i32]tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 240 : i32]tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 240 : i32]tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 240 : i32]tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 40 : i32]tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 240 : i32]tensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 80 : i32]tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,15,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 225 : i32, 240 : i32]tensor<[1,1,225,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,225,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 15 : i32, 80 : i32]tensor<[1,15,15,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 240 : i32]tensor<[1,1,1,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 960, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 960 : i32]tensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 960, 'bf16', 'dram')nannan
ttnn.reshapetensor<[960,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')shape: [960 : i32, 1 : i32, 1 : i32]tensor<[960,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,20,20,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 240 : i32]tensor<[1,1,400,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 80 : i32]tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 240 : i32]tensor<[1,1,784,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 240 : i32]tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 240 : i32]tensor<[1,1,784,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 240 : i32]tensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 240 : i32]tensor<[1,1,784,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 40 : i32]tensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,29,29,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 841 + d1 * 29 + d2, d3), memory_config: (27, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 841 : i32, 240 : i32]tensor<[1,1,841,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 841 + d1 * 841 + d2, d3), memory_config: (27, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 240 : i32]tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,30,30,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 900 : i32, 240 : i32]tensor<[1,1,900,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 900 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,900,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 30 : i32, 240 : i32]tensor<[1,30,30,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,30,30,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 900 : i32, 240 : i32]tensor<[1,1,900,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 900 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,900,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 30 : i32, 40 : i32]tensor<[1,30,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,31,31,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 961 + d1 * 31 + d2, d3), memory_config: (31, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 961 : i32, 240 : i32]tensor<[1,1,961,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 961 + d1 * 961 + d2, d3), memory_config: (31, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,225,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 240, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 15 : i32, 240 : i32]tensor<[1,15,15,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,40,40,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1600 : i32, 240 : i32]tensor<[1,1,1600,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 240, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 240 : i32]tensor<[1,20,20,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 240, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,112,112,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 24 : i32]tensor<[1,1,12544,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 24 : i32]tensor<[1,112,112,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 24 : i32]tensor<[1,1,196,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 64 : i32]tensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,150,150,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22500 : i32, 24 : i32]tensor<[1,1,22500,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22500,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 144, 'bf16', 'dram')shape: [1 : i32, 150 : i32, 150 : i32, 144 : i32]tensor<[1,150,150,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,190,190,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 36100 : i32, 24 : i32]tensor<[1,1,36100,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 36100 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,36100,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 144, 'bf16', 'dram')shape: [1 : i32, 190 : i32, 190 : i32, 144 : i32]tensor<[1,190,190,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 24 : i32]tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 72 : i32]tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[72,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [72 : i32, 1 : i32, 1 : i32]tensor<[72,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 24 : i32]tensor<[1,1,784,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 40 : i32]tensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 24 : i32]tensor<[1,1,784,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 72 : i32]tensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 24 : i32]tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 144 : i32]tensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 24 : i32]tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 14 : i32]tensor<[1,56,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 24 : i32]tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 24, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 24 : i32]tensor<[1,28,28,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 24 : i32]tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 36 : i32]tensor<[1,56,56,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 24 : i32]tensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 72 : i32]tensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,60,60,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3600 : i32, 24 : i32]tensor<[1,1,3600,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 60 : i32, 144 : i32]tensor<[1,60,60,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,65,65,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4225 : i32, 24 : i32]tensor<[1,1,4225,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 4225 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4225,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')shape: [1 : i32, 65 : i32, 65 : i32, 144 : i32]tensor<[1,65,65,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 6400 : i32, 24 : i32]tensor<[1,1,6400,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 6400 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,6400,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')shape: [1 : i32, 80 : i32, 80 : i32, 72 : i32]tensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,14,14,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 79, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 2520 : i32]tensor<[1,1,196,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 79, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 2520 : i32]tensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 79, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 2520 : i32]tensor<[1,1,49,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 79, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 2520 : i32]tensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 80, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 2560 : i32]tensor<[1,1,256,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1280 : i32]tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 80, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 2560 : i32]tensor<[1,1,256,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1280 : i32]tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,8,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 80, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 2560 : i32]tensor<[1,1,64,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 1280 : i32]tensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,8,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 80, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 2560 : i32]tensor<[1,1,64,2560,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 1280 : i32]tensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,10,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 256 : i32]tensor<[1,1,100,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 256, 'f32', 'dram')shape: [1 : i32, 5 : i32, 5 : i32, 256 : i32]tensor<[1,5,5,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 256, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,112,112,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 256 : i32]tensor<[1,1,12544,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 128 : i32]tensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,120,160,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 19200 : i32, 256 : i32]tensor<[1,1,19200,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,19200,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 256, 'bf16', 'dram')shape: [1 : i32, 120 : i32, 160 : i32, 256 : i32]tensor<[1,120,160,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1 : i32, 1 : i32]tensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 256 : i32]tensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 150, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 150 : i32]tensor<[1,128,128,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 150, 'bf16', 'dram')nannan
ttnn.reshapetensor<[150,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')shape: [150 : i32, 1 : i32, 1 : i32]tensor<[150,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[150,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 150 : i32, 1 : i32, 1 : i32]tensor<[1,150,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 150 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 256 : i32]tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1024 : i32]tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 256 : i32]tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 256 : i32]tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 256 : i32]tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 256 : i32]tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 512 : i32]tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 256 : i32]tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 512 : i32]tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 256 : i32]tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 256 : i32]tensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 256 : i32]tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 256 : i32]tensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 256 : i32]tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 512 : i32]tensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 256 : i32]tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 256 : i32]tensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 256 : i32]tensor<[1,1,289,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 320, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 320 : i32]tensor<[1,17,17,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,180,320,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 57600 : i32, 256 : i32]tensor<[1,1,57600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,57600,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 128, 'bf16', 'dram')shape: [1 : i32, 180 : i32, 320 : i32, 128 : i32]tensor<[1,180,320,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,180,320,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 57600 : i32, 256 : i32]tensor<[1,1,57600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14400,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')shape: [1 : i32, 90 : i32, 160 : i32, 512 : i32]tensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,180,320,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 57600 : i32, 256 : i32]tensor<[1,1,57600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')shape: [1 : i32, 180 : i32, 320 : i32, 64 : i32]tensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 256 : i32]tensor<[1,1,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 256, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 256 : i32]tensor<[1,1,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1 : i32, 1 : i32]tensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 160 : i32]tensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 20 : i32]tensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 32 : i32]tensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [512 : i32, 1 : i32, 1 : i32]tensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [512 : i32, 1 : i32, 1 : i32]tensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 256 : i32]tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 64 : i32]tensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 4 : i32, 256 : i32]tensor<[1,1,4,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,4,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 24, 'f32', 'dram')shape: [1 : i32, 2 : i32, 2 : i32, 24 : i32]tensor<[1,2,2,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 24, 'f32', 'dram')nannan
ttnn.reshapetensor<[24,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 1 : i32, 1 : i32]tensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 4 : i32, 256 : i32]tensor<[1,1,4,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,4,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')shape: [1 : i32, 2 : i32, 2 : i32, 256 : i32]tensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 4 : i32, 256 : i32]tensor<[1,1,4,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,4,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 546, 'f32', 'dram')shape: [1 : i32, 2 : i32, 2 : i32, 546 : i32]tensor<[1,2,2,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 546, 'f32', 'dram')nannan
ttnn.reshapetensor<[546,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')shape: [546 : i32, 1 : i32, 1 : i32]tensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 546 : i32, 1 : i32, 1 : i32]tensor<[1,546,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 4 : i32, 256 : i32]tensor<[1,1,4,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,4,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 64, 'f32', 'dram')shape: [1 : i32, 2 : i32, 2 : i32, 64 : i32]tensor<[1,2,2,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 64, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 256 : i32]tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 128 : i32]tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 256 : i32]tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 255 : i32]tensor<[1,32,32,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')nannan
ttnn.reshapetensor<[255,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [255 : i32, 1 : i32, 1 : i32]tensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 255 : i32, 1 : i32, 1 : i32]tensor<[1,255,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 256 : i32]tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 256 : i32]tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 256 : i32]tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 256 : i32]tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 256 : i32]tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 256 : i32]tensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 256 : i32]tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 512 : i32]tensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 256 : i32]tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 512 : i32]tensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 256 : i32]tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 256 : i32]tensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 256 : i32]tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 256 : i32]tensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 256 : i32]tensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 728 : i32]tensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 256 : i32]tensor<[1,1,9,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 128 : i32]tensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 256 : i32]tensor<[1,1,9,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 24, 'f32', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 24 : i32]tensor<[1,3,3,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 24, 'f32', 'dram')nannan
ttnn.reshapetensor<[24,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 1 : i32, 1 : i32]tensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 256 : i32]tensor<[1,1,9,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 256 : i32]tensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 256 : i32]tensor<[1,1,9,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 546, 'f32', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 546 : i32]tensor<[1,3,3,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 546, 'f32', 'dram')nannan
ttnn.reshapetensor<[546,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')shape: [546 : i32, 1 : i32, 1 : i32]tensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 546 : i32, 1 : i32, 1 : i32]tensor<[1,546,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3600 : i32, 256 : i32]tensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')shape: [1 : i32, 45 : i32, 80 : i32, 1024 : i32]tensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3600 : i32, 256 : i32]tensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')shape: [1 : i32, 45 : i32, 80 : i32, 256 : i32]tensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 512 : i32, 1 : i32]tensor<[1,256,512,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 131072 + d1 * 512 + d2, d3), memory_config: (4096, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,256,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1024,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32, 256 : i32]tensor<[1,1,512,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 512 + d2, d3), memory_config: (16, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,512,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 1024, 'bf16', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1024 : i32]tensor<[1,512,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1024,512,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 524288 + d1 * 512 + d2, d3), memory_config: (16384, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 512 : i32]tensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 1 : i32]tensor<[1024,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32]tensor<[1,1024,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 18 : i32]tensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 256 : i32]tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 256 : i32]tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1 : i32, 1 : i32]tensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 256 : i32]tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 256 : i32]tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 36 : i32]tensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 512, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 512 : i32]tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 64 : i32]tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,5,5,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 25 : i32, 256 : i32]tensor<[1,1,25,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')shape: [1 : i32, 5 : i32, 5 : i32, 512 : i32]tensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 256 : i32]tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 128 : i32]tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 256 : i32]tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 128 : i32]tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 256 : i32]tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 255 : i32]tensor<[1,64,64,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')nannan
ttnn.reshapetensor<[255,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [255 : i32, 1 : i32, 1 : i32]tensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 255 : i32, 1 : i32, 1 : i32]tensor<[1,255,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 256 : i32]tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 256 : i32]tensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1 : i32, 1 : i32]tensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 256 : i32]tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 512 : i32]tensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 256 : i32]tensor<[1,1,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 64 : i32]tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 256 : i32]tensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 256 : i32]tensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 256 : i32]tensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 256 : i32]tensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 256 : i32]tensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 256 : i32]tensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 256 : i32]tensor<[1,1,5625,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 256 : i32]tensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 256 : i32]tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 256 : i32]tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 256 : i32]tensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 256 : i32]tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 512 : i32]tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,90,160,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14400 : i32, 256 : i32]tensor<[1,1,14400,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')shape: [1 : i32, 45 : i32, 80 : i32, 256 : i32]tensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,262,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 262 : i32]tensor<[1,1,784,262,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,12,12,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 144 : i32, 272 : i32]tensor<[1,1,144,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,144,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 1632 : i32]tensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 272 : i32]tensor<[1,1,49,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 160 : i32]tensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,276,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 276 : i32]tensor<[1,1,784,276,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 34 : i32]tensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 288 : i32]tensor<[1,1,196,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 288 : i32]tensor<[1,1,289,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 88 : i32]tensor<[1,17,17,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 288 : i32]tensor<[1,1,361,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 96 : i32]tensor<[1,19,19,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 288 : i32]tensor<[1,1,784,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,33,33,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1089 : i32, 288 : i32]tensor<[1,1,1089,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 1089 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1089,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')shape: [1 : i32, 33 : i32, 33 : i32, 288 : i32]tensor<[1,33,33,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,33,33,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1089 : i32, 288 : i32]tensor<[1,1,1089,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 1089 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1089,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')shape: [1 : i32, 33 : i32, 33 : i32, 48 : i32]tensor<[1,33,33,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,35,35,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1225 : i32, 288 : i32]tensor<[1,1,1225,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 288, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 288 : i32]tensor<[1,17,17,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 288, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 288 : i32]tensor<[1,1,1444,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 288 : i32]tensor<[1,38,38,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 288 : i32]tensor<[1,1,1444,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 48 : i32]tensor<[1,38,38,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,39,39,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1521 + d1 * 39 + d2, d3), memory_config: (48, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1521 : i32, 288 : i32]tensor<[1,1,1521,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1521 + d1 * 1521 + d2, d3), memory_config: (48, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 288, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 288 : i32]tensor<[1,19,19,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 288, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 28 : i32]tensor<[1,1,784,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 16 : i32]tensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,296,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 296 : i32]tensor<[1,1,784,296,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,134,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 134, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 134 : i32]tensor<[1,28,28,134,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 134, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,304,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 304 : i32]tensor<[1,1,196,304,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 116 : i32]tensor<[1,14,14,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 10 : i32, 1 : i32]tensor<[1,3072,10,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32, 4 : i32, 1 : i32]tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 10 : i32, 3072 : i32]tensor<[1,1,10,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,13,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (13, 3072, 'bf16', 'dram')shape: [1 : i32, 13 : i32, 1 : i32, 3072 : i32]tensor<[1,13,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (13, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,13,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 13 : i32]tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 11 : i32, 1 : i32]tensor<[1,3072,11,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32, 4 : i32, 1 : i32]tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,11,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 11 : i32, 3072 : i32]tensor<[1,1,11,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 * 11 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (14, 3072, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 1 : i32, 3072 : i32]tensor<[1,14,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (14, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,14,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 14 : i32]tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 12 : i32, 1 : i32]tensor<[1,3072,12,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32, 4 : i32, 1 : i32]tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12 : i32, 3072 : i32]tensor<[1,1,12,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,15,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (15, 3072, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 1 : i32, 3072 : i32]tensor<[1,15,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (15, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,15,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 15 : i32]tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 13 : i32, 1 : i32]tensor<[1,3072,13,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32, 4 : i32, 1 : i32]tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 13 : i32, 3072 : i32]tensor<[1,1,13,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (16, 3072, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 3072 : i32]tensor<[1,16,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (16, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,16,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 16 + d2, d3), memory_config: (1536, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 14 : i32, 1 : i32]tensor<[1,3072,14,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32, 4 : i32, 1 : i32]tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14 : i32, 3072 : i32]tensor<[1,1,14,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,17,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (17, 3072, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 1 : i32, 3072 : i32]tensor<[1,17,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (17, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,17,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52224 + d1 * 17 + d2, d3), memory_config: (1632, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 17 : i32]tensor<[1,3072,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 15 : i32, 1 : i32]tensor<[1,3072,15,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32, 4 : i32, 1 : i32]tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 15 : i32, 3072 : i32]tensor<[1,1,15,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 * 15 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,18,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (18, 3072, 'bf16', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 3072 : i32]tensor<[1,18,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (18, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,18,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 55296 + d1 * 18 + d2, d3), memory_config: (1728, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 18 : i32]tensor<[1,3072,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 6 : i32, 1 : i32]tensor<[1,3072,6,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32, 4 : i32, 1 : i32]tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 6 : i32, 3072 : i32]tensor<[1,1,6,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (9, 3072, 'bf16', 'dram')shape: [1 : i32, 9 : i32, 1 : i32, 3072 : i32]tensor<[1,9,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (9, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 9 : i32]tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 7 : i32, 1 : i32]tensor<[1,3072,7,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32, 4 : i32, 1 : i32]tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 7 : i32, 3072 : i32]tensor<[1,1,7,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,10,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (10, 3072, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 1 : i32, 3072 : i32]tensor<[1,10,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (10, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,10,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 10 : i32]tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 8 : i32, 1 : i32]tensor<[1,3072,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32, 4 : i32, 1 : i32]tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 8 : i32, 3072 : i32]tensor<[1,1,8,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,11,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (11, 3072, 'bf16', 'dram')shape: [1 : i32, 11 : i32, 1 : i32, 3072 : i32]tensor<[1,11,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (11, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,11,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 11 : i32]tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 8 : i32, 1 : i32]tensor<[1,3072,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,768,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (18432, 1, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 768 : i32, 1 : i32, 1 : i32]tensor<[768,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 8 : i32, 3072 : i32]tensor<[1,1,8,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 768 : i32]tensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 8 : i32]tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 1 : i32]tensor<[768,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32]tensor<[1,768,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 9 : i32, 1 : i32]tensor<[1,3072,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32, 4 : i32, 1 : i32]tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 3072 : i32]tensor<[1,1,9,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 3072, 'bf16', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 3072 : i32]tensor<[1,12,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,12,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 12 : i32]tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,310,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 310 : i32]tensor<[1,1,784,310,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 58 : i32]tensor<[1,28,28,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 320 : i32]tensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 320 : i32]tensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 40 : i32]tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 320 : i32]tensor<[1,1,289,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 320 : i32]tensor<[1,8,8,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 320 : i32]tensor<[1,1,784,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1200 : i32, 320 : i32]tensor<[1,1,1200,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,300,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 320, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 20 : i32, 320 : i32]tensor<[1,15,20,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [320 : i32, 1 : i32, 1 : i32]tensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1200 : i32, 320 : i32]tensor<[1,1,1200,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,300,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 512, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 20 : i32, 512 : i32]tensor<[1,15,20,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [512 : i32, 1 : i32, 1 : i32]tensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1200 : i32, 320 : i32]tensor<[1,1,1200,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 40 : i32, 64 : i32]tensor<[1,30,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 320 : i32]tensor<[1,1,1024,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 320 : i32]tensor<[1,1,1024,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 320 : i32]tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 320 : i32]tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [320 : i32, 1 : i32, 1 : i32]tensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 320 : i32]tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 320 : i32]tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [320 : i32, 1 : i32, 1 : i32]tensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 320 : i32]tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 320, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 320 : i32]tensor<[1,32,32,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [320 : i32, 1 : i32, 1 : i32]tensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 320 : i32]tensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 4, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 4 : i32]tensor<[1,64,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 4, 'bf16', 'dram')nannan
ttnn.reshapetensor<[4,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 1 : i32, 1 : i32]tensor<[4,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4 : i32, 1 : i32, 1 : i32]tensor<[1,4,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 320 : i32]tensor<[1,1,49,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1280, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1280 : i32]tensor<[1,7,7,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 320 : i32]tensor<[1,1,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 1280 : i32]tensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,328,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 328 : i32]tensor<[1,1,784,328,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 320, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 320 : i32]tensor<[1,28,28,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 32 : i32]tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 16 : i32]tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 32 : i32]tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 232, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 232 : i32]tensor<[1,112,112,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 232, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 32 : i32]tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 232 : i32]tensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 32 : i32]tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 32 : i32]tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 32 : i32]tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 336, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 336 : i32]tensor<[1,112,112,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 336, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 32 : i32]tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 336 : i32]tensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 32 : i32]tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 64 : i32]tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 32 : i32]tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 64 : i32]tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 32 : i32]tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 64 : i32]tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,120,120,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14400 : i32, 32 : i32]tensor<[1,1,14400,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14400,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 16, 'bf16', 'dram')shape: [1 : i32, 120 : i32, 120 : i32, 16 : i32]tensor<[1,120,120,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,120,120,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14400 : i32, 32 : i32]tensor<[1,1,14400,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14400,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')shape: [1 : i32, 120 : i32, 120 : i32, 32 : i32]tensor<[1,120,120,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,120,160,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 19200 : i32, 32 : i32]tensor<[1,1,19200,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,19200,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 2, 'bf16', 'dram')shape: [1 : i32, 120 : i32, 160 : i32, 2 : i32]tensor<[1,120,160,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 2, 'bf16', 'dram')nannan
ttnn.reshapetensor<[2,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 1 : i32, 1 : i32]tensor<[2,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 1 : i32]tensor<[1,2,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 32 : i32]tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 32 : i32]tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 32 : i32]tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 32 : i32]tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 32 : i32]tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 32, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 32 : i32]tensor<[1,16,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 1 : i32, 1 : i32]tensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 32 : i32]tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 64 : i32]tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 32 : i32]tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 64 : i32]tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,130,130,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16900 : i32, 32 : i32]tensor<[1,1,16900,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 16900 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16900,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 16, 'bf16', 'dram')shape: [1 : i32, 130 : i32, 130 : i32, 16 : i32]tensor<[1,130,130,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,130,130,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16900 : i32, 32 : i32]tensor<[1,1,16900,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 16900 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16900,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')shape: [1 : i32, 130 : i32, 130 : i32, 32 : i32]tensor<[1,130,130,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,147,147,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (676, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 21609 : i32, 32 : i32]tensor<[1,1,21609,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (676, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,21609,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 64, 'bf16', 'dram')shape: [1 : i32, 147 : i32, 147 : i32, 64 : i32]tensor<[1,147,147,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,149,149,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 149 + d2, d3), memory_config: (694, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22201 : i32, 32 : i32]tensor<[1,1,22201,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 22201 + d2, d3), memory_config: (694, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,21609,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 32, 'bf16', 'dram')shape: [1 : i32, 147 : i32, 147 : i32, 32 : i32]tensor<[1,147,147,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 32 : i32]tensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 32 : i32]tensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 64 : i32]tensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22500 : i32, 32 : i32]tensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22500,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 24, 'bf16', 'dram')shape: [1 : i32, 150 : i32, 150 : i32, 24 : i32]tensor<[1,150,150,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22500 : i32, 32 : i32]tensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')shape: [1 : i32, 150 : i32, 150 : i32, 32 : i32]tensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22500 : i32, 32 : i32]tensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')shape: [1 : i32, 150 : i32, 150 : i32, 64 : i32]tensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,190,190,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 36100 : i32, 32 : i32]tensor<[1,1,36100,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 36100 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,36100,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 24, 'bf16', 'dram')shape: [1 : i32, 190 : i32, 190 : i32, 24 : i32]tensor<[1,190,190,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,190,190,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 36100 : i32, 32 : i32]tensor<[1,1,36100,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 36100 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,36100,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')shape: [1 : i32, 190 : i32, 190 : i32, 32 : i32]tensor<[1,190,190,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 32 : i32]tensor<[1,1,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 120 : i32]tensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')nannan
ttnn.reshapetensor<[120,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [120 : i32, 1 : i32, 1 : i32]tensor<[120,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 65536 : i32, 32 : i32]tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,65536,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 1, 'bf16', 'dram')shape: [1 : i32, 256 : i32, 256 : i32, 1 : i32]tensor<[1,256,256,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 1, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 65536 : i32, 32 : i32]tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')shape: [1 : i32, 256 : i32, 256 : i32, 32 : i32]tensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 65536 : i32, 32 : i32]tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,65536,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')shape: [1 : i32, 256 : i32, 256 : i32, 64 : i32]tensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 65536 : i32, 32 : i32]tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 64 : i32]tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,26,26,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 26 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 676 : i32, 32 : i32]tensor<[1,1,676,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 676 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 64, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 64 : i32]tensor<[1,24,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 32 : i32]tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 192 : i32]tensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 32 : i32]tensor<[1,1,784,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 96 : i32]tensor<[1,28,28,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,30,40,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1200 : i32, 32 : i32]tensor<[1,1,1200,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1200,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 2, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 40 : i32, 2 : i32]tensor<[1,30,40,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 2, 'bf16', 'dram')nannan
ttnn.reshapetensor<[2,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 1 : i32, 1 : i32]tensor<[2,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 1 : i32]tensor<[1,2,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,512,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 262144 : i32, 32 : i32]tensor<[1,1,262144,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 262144 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,65536,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')shape: [1 : i32, 256 : i32, 256 : i32, 64 : i32]tensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 32 : i32]tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 32 : i32]tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 32 : i32]tensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 32 : i32]tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 64 : i32]tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,60,80,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4800 : i32, 32 : i32]tensor<[1,1,4800,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4800,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 2, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 80 : i32, 2 : i32]tensor<[1,60,80,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 2, 'bf16', 'dram')nannan
ttnn.reshapetensor<[2,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 1 : i32, 1 : i32]tensor<[2,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 1 : i32]tensor<[1,2,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,75,75,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5625 : i32, 32 : i32]tensor<[1,1,5625,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 5625 + d2, d3), memory_config: (176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 192 : i32]tensor<[1,75,75,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 32 : i32]tensor<[1,1,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,95,95,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9025 : i32, 32 : i32]tensor<[1,1,9025,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 9025 + d2, d3), memory_config: (283, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9025,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')shape: [1 : i32, 95 : i32, 95 : i32, 192 : i32]tensor<[1,95,95,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 336 : i32]tensor<[1,1,12544,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 336 : i32]tensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 336 : i32]tensor<[1,1,196,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 336 : i32]tensor<[1,14,14,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,24,24,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 576 : i32, 336 : i32]tensor<[1,1,576,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 112 : i32]tensor<[1,24,24,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,48,48,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 2304 : i32, 336 : i32]tensor<[1,1,2304,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 2304 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,2304,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')shape: [1 : i32, 48 : i32, 48 : i32, 336 : i32]tensor<[1,48,48,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,48,48,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 2304 : i32, 336 : i32]tensor<[1,1,2304,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 2304 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,2304,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')shape: [1 : i32, 48 : i32, 48 : i32, 56 : i32]tensor<[1,48,48,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,49,49,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2401 + d1 * 49 + d2, d3), memory_config: (76, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 2401 : i32, 336 : i32]tensor<[1,1,2401,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2401 + d1 * 2401 + d2, d3), memory_config: (76, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 336, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 336 : i32]tensor<[1,24,24,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 336, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 336 : i32]tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 336 : i32]tensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 336 : i32]tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 336 : i32]tensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 336 : i32]tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 672, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 672 : i32]tensor<[1,56,56,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 336 : i32]tensor<[1,1,3136,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 672 : i32]tensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 348 : i32]tensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1392 : i32]tensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1392,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')shape: [1392 : i32, 1 : i32, 1 : i32]tensor<[1392,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 348 : i32]tensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3712, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 3712 : i32]tensor<[1,1,1,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3712, 'bf16', 'dram')nannan
ttnn.reshapetensor<[3712,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')shape: [3712 : i32, 1 : i32, 1 : i32]tensor<[3712,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3712,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3712 : i32, 1 : i32, 1 : i32]tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 34 : i32]tensor<[1,1,784,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 20 : i32]tensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 352 : i32]tensor<[1,1,196,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 352 : i32]tensor<[1,1,784,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,9,9,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 11, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 81 : i32, 352 : i32]tensor<[1,1,81,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,81,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1280, 'bf16', 'dram')shape: [1 : i32, 9 : i32, 9 : i32, 1280 : i32]tensor<[1,9,9,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,360,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 360 : i32]tensor<[1,1,196,360,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 68 : i32]tensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,368,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 368 : i32]tensor<[1,1,784,368,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 98, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 98 : i32]tensor<[1,28,28,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 98, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 36 : i32]tensor<[1,1,196,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 144 : i32]tensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 36 : i32]tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 18 : i32]tensor<[1,28,28,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 36 : i32]tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 36 : i32]tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 36 : i32]tensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 36 : i32]tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 36 : i32]tensor<[1,14,14,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 36 : i32]tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 64 : i32]tensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 36 : i32]tensor<[1,1,784,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 72 : i32]tensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 36 : i32]tensor<[1,1,3136,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 36 : i32]tensor<[1,56,56,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 116, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 3712 : i32]tensor<[1,1,196,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 3712 : i32]tensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 3712 : i32]tensor<[1,1,1,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 348 : i32]tensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')nannan
ttnn.reshapetensor<[348,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')shape: [348 : i32, 1 : i32, 1 : i32]tensor<[348,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[348,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 348 : i32, 1 : i32, 1 : i32]tensor<[1,348,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 116, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 3712 : i32]tensor<[1,1,49,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 3712 : i32]tensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 384 : i32]tensor<[1,1,100,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1280, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1280 : i32]tensor<[1,10,10,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 384 : i32]tensor<[1,1,196,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 384 : i32]tensor<[1,1,196,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 384 : i32]tensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 384 : i32]tensor<[1,1,196,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 64 : i32]tensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 384 : i32]tensor<[1,1,196,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 96 : i32]tensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 384 : i32]tensor<[1,1,784,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,35,35,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1225 : i32, 384 : i32]tensor<[1,1,1225,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')shape: [1 : i32, 35 : i32, 35 : i32, 192 : i32]tensor<[1,35,35,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,35,35,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1225 : i32, 384 : i32]tensor<[1,1,1225,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 384 : i32]tensor<[1,17,17,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,35,35,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1225 : i32, 384 : i32]tensor<[1,1,1225,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1225,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 64, 'bf16', 'dram')shape: [1 : i32, 35 : i32, 35 : i32, 64 : i32]tensor<[1,35,35,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,35,35,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1225 : i32, 384 : i32]tensor<[1,1,1225,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')shape: [1 : i32, 35 : i32, 35 : i32, 96 : i32]tensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 384 : i32]tensor<[1,1,4096,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 128 : i32]tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 384 : i32]tensor<[1,1,64,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 256 : i32]tensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 384 : i32]tensor<[1,1,64,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 256 : i32]tensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 384 : i32]tensor<[1,1,64,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 448, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 448 : i32]tensor<[1,8,8,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 448, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1024,1024,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1048576 + d1 * 1024 + d2, d3), memory_config: (32768, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1048576 : i32, 3 : i32]tensor<[1,1,1048576,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1048576 + d1 * 1048576 + d2, d3), memory_config: (32768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,65536,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')shape: [1 : i32, 256 : i32, 256 : i32, 192 : i32]tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [192 : i32, 1 : i32, 1 : i32]tensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1024 : i32]tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 1 : i32, 1 : i32]tensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 16 : i32]tensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50176,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')shape: [1 : i32, 224 : i32, 224 : i32, 16 : i32]tensor<[1,224,224,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 32 : i32]tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')shape: [1 : i32, 224 : i32, 224 : i32, 64 : i32]tensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')shape: [1 : i32, 224 : i32, 224 : i32, 64 : i32]tensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 64 : i32]tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 64 : i32]tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 768 : i32]tensor<[1,14,14,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 1 : i32, 1 : i32]tensor<[768,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32, 1 : i32]tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,224,224,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 3 : i32]tensor<[1,1,50176,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 768, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 768 : i32]tensor<[1,7,7,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,225,225,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50625 + d1 * 225 + d2, d3), memory_config: (1583, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50625 : i32, 3 : i32]tensor<[1,1,50625,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50625 + d1 * 50625 + d2, d3), memory_config: (1583, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 32 : i32]tensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,241,241,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58081 + d1 * 241 + d2, d3), memory_config: (1816, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 58081 : i32, 3 : i32]tensor<[1,1,58081,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58081 + d1 * 58081 + d2, d3), memory_config: (1816, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14400,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')shape: [1 : i32, 120 : i32, 120 : i32, 32 : i32]tensor<[1,120,120,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,256,256,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 65536 : i32, 3 : i32]tensor<[1,1,65536,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')shape: [1 : i32, 256 : i32, 256 : i32, 32 : i32]tensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,261,261,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68121 + d1 * 261 + d2, d3), memory_config: (2129, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 68121 : i32, 3 : i32]tensor<[1,1,68121,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68121 + d1 * 68121 + d2, d3), memory_config: (2129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16900,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')shape: [1 : i32, 130 : i32, 130 : i32, 32 : i32]tensor<[1,130,130,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,299,299,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 89401 + d1 * 299 + d2, d3), memory_config: (2794, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 89401 : i32, 3 : i32]tensor<[1,1,89401,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 89401 + d1 * 89401 + d2, d3), memory_config: (2794, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22201,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 149 + d2, d3), memory_config: (22201, 32, 'bf16', 'dram')shape: [1 : i32, 149 : i32, 149 : i32, 32 : i32]tensor<[1,149,149,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 149 + d2, d3), memory_config: (22201, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,299,299,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 89401 + d1 * 299 + d2, d3), memory_config: (2794, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 89401 : i32, 3 : i32]tensor<[1,1,89401,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 89401 + d1 * 89401 + d2, d3), memory_config: (2794, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')shape: [1 : i32, 150 : i32, 150 : i32, 32 : i32]tensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,301,301,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90601 + d1 * 301 + d2, d3), memory_config: (2832, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 90601 : i32, 3 : i32]tensor<[1,1,90601,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90601 + d1 * 90601 + d2, d3), memory_config: (2832, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22500,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')shape: [1 : i32, 150 : i32, 150 : i32, 32 : i32]tensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,320,320,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102400 + d1 * 320 + d2, d3), memory_config: (3200, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 102400 : i32, 3 : i32]tensor<[1,1,102400,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102400 + d1 * 102400 + d2, d3), memory_config: (3200, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25600,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')shape: [1 : i32, 160 : i32, 160 : i32, 16 : i32]tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,32,128,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 3 : i32]tensor<[1,1,4096,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 768, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 32 : i32, 768 : i32]tensor<[1,8,32,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 1 : i32, 1 : i32]tensor<[768,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32, 1 : i32]tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,381,381,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 145161 + d1 * 381 + d2, d3), memory_config: (4537, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 145161 : i32, 3 : i32]tensor<[1,1,145161,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 145161 + d1 * 145161 + d2, d3), memory_config: (4537, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,36100,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')shape: [1 : i32, 190 : i32, 190 : i32, 32 : i32]tensor<[1,190,190,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,384,512,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196608 + d1 * 512 + d2, d3), memory_config: (6144, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196608 : i32, 3 : i32]tensor<[1,1,196608,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196608 + d1 * 196608 + d2, d3), memory_config: (6144, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,192,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (192, 768, 'bf16', 'dram')shape: [1 : i32, 12 : i32, 16 : i32, 768 : i32]tensor<[1,12,16,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (192, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 1 : i32, 1 : i32]tensor<[768,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32, 1 : i32]tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,480,640,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (9600, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 307200 : i32, 3 : i32]tensor<[1,1,307200,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 307200 + d2, d3), memory_config: (9600, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')shape: [1 : i32, 120 : i32, 160 : i32, 64 : i32]tensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,512,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 262144 : i32, 3 : i32]tensor<[1,1,262144,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 262144 + d2, d3), memory_config: (8192, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 192 : i32]tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [192 : i32, 1 : i32, 1 : i32]tensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,512,512,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 262144 : i32, 3 : i32]tensor<[1,1,262144,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 262144 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,262144,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (262144, 32, 'bf16', 'dram')shape: [1 : i32, 512 : i32, 512 : i32, 32 : i32]tensor<[1,512,512,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (262144, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,512,512,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 262144 : i32, 3 : i32]tensor<[1,1,262144,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 262144 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')shape: [1 : i32, 256 : i32, 256 : i32, 32 : i32]tensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,512,512,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 262144 : i32, 3 : i32]tensor<[1,1,262144,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 262144 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 32 : i32]tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 1 : i32, 1 : i32]tensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,672,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 344064 + d1 * 672 + d2, d3), memory_config: (10752, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 344064 : i32, 3 : i32]tensor<[1,1,344064,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 344064 + d1 * 344064 + d2, d3), memory_config: (10752, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1344,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 42 + d2, d3), memory_config: (1344, 192, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 42 : i32, 192 : i32]tensor<[1,32,42,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 42 + d2, d3), memory_config: (1344, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[192,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')shape: [192 : i32, 1 : i32, 1 : i32]tensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,518,518,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 268324 + d1 * 518 + d2, d3), memory_config: (8386, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 268324 : i32, 3 : i32]tensor<[1,1,268324,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 268324 + d1 * 268324 + d2, d3), memory_config: (8386, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1369,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1369 + d1 * 37 + d2, d3), memory_config: (1369, 1280, 'bf16', 'dram')shape: [1 : i32, 37 : i32, 37 : i32, 1280 : i32]tensor<[1,37,37,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1369 + d1 * 37 + d2, d3), memory_config: (1369, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,720,1280,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 921600 + d1 * 1280 + d2, d3), memory_config: (28800, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 921600 : i32, 3 : i32]tensor<[1,1,921600,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 921600 + d1 * 921600 + d2, d3), memory_config: (28800, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,230400,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 640 + d2, d3), memory_config: (230400, 64, 'bf16', 'dram')shape: [1 : i32, 360 : i32, 640 : i32, 64 : i32]tensor<[1,360,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 640 + d2, d3), memory_config: (230400, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 40 : i32]tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 120 : i32]tensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 40 : i32]tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 240 : i32]tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 40 : i32]tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 40 : i32]tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 40 : i32]tensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 80 : i32]tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 40 : i32]tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 120 : i32]tensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 40 : i32]tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 240 : i32]tensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 40 : i32]tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 40 : i32]tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 40 : i32]tensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 60 : i32]tensor<[1,28,28,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,30,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 900 : i32, 40 : i32]tensor<[1,1,900,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 900 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,900,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 30 : i32, 240 : i32]tensor<[1,30,30,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1600 : i32, 40 : i32]tensor<[1,1,1600,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1600,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')shape: [1 : i32, 40 : i32, 40 : i32, 120 : i32]tensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1600 : i32, 40 : i32]tensor<[1,1,1600,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1600,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 240, 'f32', 'dram')shape: [1 : i32, 40 : i32, 40 : i32, 240 : i32]tensor<[1,40,40,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 240, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,56,56,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 40 : i32]tensor<[1,1,3136,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 14 : i32]tensor<[1,56,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,416,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 13, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 416 : i32]tensor<[1,1,196,416,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 13, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,416,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 13, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 416 : i32]tensor<[1,1,784,416,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 13, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,428,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 14, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 428 : i32]tensor<[1,1,196,428,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 116 : i32]tensor<[1,14,14,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,12,12,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 14, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 144 : i32, 448 : i32]tensor<[1,1,144,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,144,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1280, 'bf16', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 1280 : i32]tensor<[1,12,12,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 14, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 448 : i32]tensor<[1,1,196,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 14, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 448 : i32]tensor<[1,1,784,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 14, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 448 : i32]tensor<[1,1,3136,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 256 : i32]tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 14, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 448 : i32]tensor<[1,1,64,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 512, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 512 : i32]tensor<[1,8,8,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,466,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 466 : i32]tensor<[1,1,784,466,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 168, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 168 : i32]tensor<[1,28,28,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 168, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 46 : i32]tensor<[1,1,784,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 16 : i32]tensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 480 : i32]tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 24, 'f32', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 24 : i32]tensor<[1,10,10,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 24, 'f32', 'dram')nannan
ttnn.reshapetensor<[24,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 1 : i32, 1 : i32]tensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 480 : i32]tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 256, 'f32', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 256 : i32]tensor<[1,10,10,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 256, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 480 : i32]tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 480 : i32]tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 480 : i32]tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 480 : i32]tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 480 : i32]tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 546, 'f32', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 546 : i32]tensor<[1,10,10,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 546, 'f32', 'dram')nannan
ttnn.reshapetensor<[546,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')shape: [546 : i32, 1 : i32, 1 : i32]tensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 546 : i32, 1 : i32, 1 : i32]tensor<[1,546,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 480 : i32]tensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 80 : i32]tensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 480 : i32]tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 112 : i32]tensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 480 : i32]tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 480 : i32]tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 16, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 16 : i32]tensor<[1,14,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 480 : i32]tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 192 : i32]tensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 480 : i32]tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 480 : i32]tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 480 : i32]tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 480 : i32]tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 480 : i32]tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 56 : i32]tensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 480 : i32]tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 64 : i32]tensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 480 : i32]tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 80 : i32]tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 480 : i32]tensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 96 : i32]tensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 225 : i32, 480 : i32]tensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,225,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 15 : i32, 112 : i32]tensor<[1,15,15,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 225 : i32, 480 : i32]tensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 15 : i32, 480 : i32]tensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 225 : i32, 480 : i32]tensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 15 : i32, 480 : i32]tensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 225 : i32, 480 : i32]tensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,225,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 15 : i32, 80 : i32]tensor<[1,15,15,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 480 : i32]tensor<[1,1,1,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 120 : i32]tensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')nannan
ttnn.reshapetensor<[120,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [120 : i32, 1 : i32, 1 : i32]tensor<[120,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 480 : i32]tensor<[1,1,400,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 112 : i32]tensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 480 : i32]tensor<[1,1,400,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 480 : i32]tensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,28,28,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 480 : i32]tensor<[1,1,784,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 480 : i32]tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 480 : i32]tensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 480 : i32]tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 480 : i32]tensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 480 : i32]tensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 480 : i32]tensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 48 : i32]tensor<[1,1,12544,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 48, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 48 : i32]tensor<[1,56,56,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 48, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,33,33,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1089 : i32, 48 : i32]tensor<[1,1,1089,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 1089 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1089,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')shape: [1 : i32, 33 : i32, 33 : i32, 288 : i32]tensor<[1,33,33,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 48 : i32]tensor<[1,1,1444,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 288 : i32]tensor<[1,38,38,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 48 : i32]tensor<[1,1,3136,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 12 : i32]tensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 48 : i32]tensor<[1,1,49,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 4 : i32]tensor<[1,1,4096,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 320 : i32]tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [320 : i32, 1 : i32, 1 : i32]tensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1024 : i32]tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 1 : i32, 1 : i32]tensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1024 : i32]tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 112 : i32]tensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 144, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 144 : i32]tensor<[1,14,14,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 160 : i32]tensor<[1,14,14,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 192 : i32]tensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 24, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 24 : i32]tensor<[1,14,14,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 32 : i32]tensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 512 : i32]tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [512 : i32, 1 : i32, 1 : i32]tensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 512 : i32]tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 64 : i32]tensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,20,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 300 : i32, 512 : i32]tensor<[1,1,300,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 300 + d2, d3), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 20 : i32, 64 : i32]tensor<[1,15,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 512 : i32]tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1024 : i32]tensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 512 : i32]tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 255 : i32]tensor<[1,16,16,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')nannan
ttnn.reshapetensor<[255,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [255 : i32, 1 : i32, 1 : i32]tensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 255 : i32, 1 : i32, 1 : i32]tensor<[1,255,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 512 : i32]tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 256 : i32]tensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 512 : i32]tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 512 : i32]tensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 512 : i32]tensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 512 : i32]tensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 512 : i32]tensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,1000,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1000, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1000 : i32]tensor<[1,1,1,1000,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1000, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1000,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1000 : i32, 1 : i32, 1 : i32]tensor<[1000,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1000,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1000 : i32, 1 : i32, 1 : i32]tensor<[1,1000,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1000 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 512 : i32]tensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 512, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 512 : i32]tensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [512 : i32, 1 : i32, 1 : i32]tensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 920 : i32, 512 : i32]tensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 920 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,920,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')shape: [1 : i32, 23 : i32, 40 : i32, 2048 : i32]tensor<[1,23,40,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 920 : i32, 512 : i32]tensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 920 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')shape: [1 : i32, 23 : i32, 40 : i32, 512 : i32]tensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1024, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 1024 : i32]tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1024 : i32]tensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 19 : i32]tensor<[1,28,28,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')nannan
ttnn.reshapetensor<[19,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [19 : i32, 1 : i32, 1 : i32]tensor<[19,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[19,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 19 : i32, 1 : i32, 1 : i32]tensor<[1,19,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 38 : i32]tensor<[1,28,28,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')nannan
ttnn.reshapetensor<[38,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [38 : i32, 1 : i32, 1 : i32]tensor<[38,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[38,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 38 : i32, 1 : i32, 1 : i32]tensor<[1,38,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [512 : i32, 1 : i32, 1 : i32]tensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 512 : i32]tensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1024 : i32]tensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 512 : i32]tensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 128 : i32]tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 512 : i32]tensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 255 : i32]tensor<[1,32,32,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')nannan
ttnn.reshapetensor<[255,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [255 : i32, 1 : i32, 1 : i32]tensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[255,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 255 : i32, 1 : i32, 1 : i32]tensor<[1,255,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 255 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 512 : i32]tensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 256 : i32]tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 512 : i32]tensor<[1,1,1024,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 256 : i32]tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,45,80,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3600 : i32, 512 : i32]tensor<[1,1,3600,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,920,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')shape: [1 : i32, 23 : i32, 40 : i32, 512 : i32]tensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 512 : i32]tensor<[1,1,3136,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 256 : i32]tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 512 : i32]tensor<[1,1,3136,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 25 : i32, 512 : i32]tensor<[1,1,25,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 128, 'f32', 'dram')shape: [1 : i32, 5 : i32, 5 : i32, 128 : i32]tensor<[1,5,5,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 128, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 25 : i32, 512 : i32]tensor<[1,1,25,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 24, 'f32', 'dram')shape: [1 : i32, 5 : i32, 5 : i32, 24 : i32]tensor<[1,5,5,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 24, 'f32', 'dram')nannan
ttnn.reshapetensor<[24,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 1 : i32, 1 : i32]tensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 25 : i32, 512 : i32]tensor<[1,1,25,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')shape: [1 : i32, 5 : i32, 5 : i32, 512 : i32]tensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 25 : i32, 512 : i32]tensor<[1,1,25,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 546, 'f32', 'dram')shape: [1 : i32, 5 : i32, 5 : i32, 546 : i32]tensor<[1,5,5,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 546, 'f32', 'dram')nannan
ttnn.reshapetensor<[546,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')shape: [546 : i32, 1 : i32, 1 : i32]tensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 546 : i32, 1 : i32, 1 : i32]tensor<[1,546,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,60,80,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4800 : i32, 512 : i32]tensor<[1,1,4800,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4800,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 512, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 80 : i32, 512 : i32]tensor<[1,60,80,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [512 : i32, 1 : i32, 1 : i32]tensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 512 : i32]tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 512 : i32]tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 2048 : i32]tensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 512 : i32]tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 512 : i32]tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 512 : i32]tensor<[1,1,64,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 256 : i32]tensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 512 : i32]tensor<[1,1,64,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 256 : i32]tensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14400 : i32, 512 : i32]tensor<[1,1,14400,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')shape: [1 : i32, 45 : i32, 80 : i32, 1024 : i32]tensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14400 : i32, 512 : i32]tensor<[1,1,14400,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14400,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')shape: [1 : i32, 90 : i32, 160 : i32, 128 : i32]tensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14400 : i32, 512 : i32]tensor<[1,1,14400,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 14400 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14400,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 256, 'bf16', 'dram')shape: [1 : i32, 90 : i32, 160 : i32, 256 : i32]tensor<[1,90,160,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 528 : i32]tensor<[1,1,196,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 528 : i32]tensor<[1,1,196,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 160 : i32]tensor<[1,14,14,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 528 : i32]tensor<[1,1,196,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 528 : i32]tensor<[1,1,196,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 32 : i32]tensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 528 : i32]tensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 120 : i32]tensor<[1,17,17,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 528 : i32]tensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 528 : i32]tensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 528 : i32]tensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 528 : i32]tensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 528 : i32]tensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 88 : i32]tensor<[1,17,17,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,544,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 544 : i32]tensor<[1,1,196,544,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,544,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 544 : i32]tensor<[1,1,196,544,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,196,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 196, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 196 : i32]tensor<[1,14,14,196,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 196, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 54 : i32]tensor<[1,1,3136,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 24 : i32]tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 56 : i32]tensor<[1,1,196,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 56 : i32]tensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,48,48,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 2304 : i32, 56 : i32]tensor<[1,1,2304,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 2304 + d2, d3), memory_config: (72, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,2304,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')shape: [1 : i32, 48 : i32, 48 : i32, 336 : i32]tensor<[1,48,48,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 576 : i32]tensor<[1,1,196,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 576 : i32]tensor<[1,1,196,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 576 : i32]tensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 576 : i32]tensor<[1,1,196,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 576, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 576 : i32]tensor<[1,7,7,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 576, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 576 : i32]tensor<[1,1,196,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 96 : i32]tensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 576 : i32]tensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 136 : i32]tensor<[1,19,19,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 576 : i32]tensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 576 : i32]tensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 576 : i32]tensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 576 : i32]tensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 576 : i32]tensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 96 : i32]tensor<[1,19,19,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 18, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 576 : i32]tensor<[1,1,49,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 160 : i32]tensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 58 : i32]tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 232 : i32]tensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')nannan
ttnn.reshapetensor<[232,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [232 : i32, 1 : i32, 1 : i32]tensor<[232,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 58 : i32]tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 696 : i32]tensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')nannan
ttnn.reshapetensor<[696,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')shape: [696 : i32, 1 : i32, 1 : i32]tensor<[696,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[696,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 696 : i32, 1 : i32, 1 : i32]tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 58 : i32]tensor<[1,1,784,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 20 : i32]tensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,608,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 19, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 608 : i32]tensor<[1,1,196,608,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 19, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 60 : i32]tensor<[1,1,784,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 60 : i32]tensor<[1,28,28,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 62 : i32]tensor<[1,1,784,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 28 : i32]tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 640 : i32]tensor<[1,1,196,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,16,16,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 640 : i32]tensor<[1,1,256,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1280 : i32]tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32, 640 : i32]tensor<[1,1,256,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1280 : i32]tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 640 : i32]tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 640 : i32]tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 640 : i32]tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 640 : i32]tensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 640, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 640 : i32]tensor<[1,16,16,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 640 : i32]tensor<[1,1,4096,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 320 : i32]tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [320 : i32, 1 : i32, 1 : i32]tensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 640 : i32]tensor<[1,1,4096,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 320 : i32]tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [320 : i32, 1 : i32, 1 : i32]tensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 640 : i32]tensor<[1,1,4096,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 640, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 640 : i32]tensor<[1,64,64,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 640 : i32]tensor<[1,1,49,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 160 : i32]tensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 64 : i32]tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 128 : i32]tensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 64 : i32]tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 128 : i32]tensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 64 : i32]tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 64 : i32]tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 64 : i32]tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 64 : i32]tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 64 : i32]tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 64 : i32]tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 64 : i32]tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 64 : i32]tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 19200 : i32, 64 : i32]tensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4800,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 128, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 80 : i32, 128 : i32]tensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 1 : i32, 1 : i32]tensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 19200 : i32, 64 : i32]tensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,19200,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 32, 'bf16', 'dram')shape: [1 : i32, 120 : i32, 160 : i32, 32 : i32]tensor<[1,120,160,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 1 : i32, 1 : i32]tensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 19200 : i32, 64 : i32]tensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 20 : i32, 64 : i32]tensor<[1,15,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 64 : i32]tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 128 : i32]tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 64 : i32]tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 128 : i32]tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 64 : i32]tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 32 : i32]tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 64 : i32]tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 64 : i32]tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 64 : i32]tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 64 : i32]tensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,147,147,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 21609 : i32, 64 : i32]tensor<[1,1,21609,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5329,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 96, 'bf16', 'dram')shape: [1 : i32, 73 : i32, 73 : i32, 96 : i32]tensor<[1,73,73,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 64 : i32]tensor<[1,1,196,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 384 : i32]tensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22500 : i32, 64 : i32]tensor<[1,1,22500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22500,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')shape: [1 : i32, 150 : i32, 150 : i32, 128 : i32]tensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22500 : i32, 64 : i32]tensor<[1,1,22500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5625,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')shape: [1 : i32, 75 : i32, 75 : i32, 128 : i32]tensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22500 : i32, 64 : i32]tensor<[1,1,22500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 22500 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')shape: [1 : i32, 150 : i32, 150 : i32, 64 : i32]tensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,160,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 25600 : i32, 64 : i32]tensor<[1,1,25600,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 25600 + d2, d3), memory_config: (800, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,6400,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 64, 'f32', 'dram')shape: [1 : i32, 80 : i32, 80 : i32, 64 : i32]tensor<[1,80,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 64, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 57600 : i32, 64 : i32]tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,57600,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 256, 'bf16', 'dram')shape: [1 : i32, 180 : i32, 320 : i32, 256 : i32]tensor<[1,180,320,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 57600 : i32, 64 : i32]tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')shape: [1 : i32, 180 : i32, 320 : i32, 64 : i32]tensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 57600 : i32, 64 : i32]tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')shape: [1 : i32, 180 : i32, 320 : i32, 64 : i32]tensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 64 : i32]tensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 128 : i32]tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 64 : i32]tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50176,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 1, 'bf16', 'dram')shape: [1 : i32, 224 : i32, 224 : i32, 1 : i32]tensor<[1,224,224,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 1, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 64 : i32]tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')shape: [1 : i32, 224 : i32, 224 : i32, 64 : i32]tensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 64 : i32]tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')shape: [1 : i32, 224 : i32, 224 : i32, 64 : i32]tensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 65536 : i32, 64 : i32]tensor<[1,1,65536,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 128 : i32]tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 65536 : i32, 64 : i32]tensor<[1,1,65536,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')shape: [1 : i32, 256 : i32, 256 : i32, 32 : i32]tensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 65536 : i32, 64 : i32]tensor<[1,1,65536,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')shape: [1 : i32, 256 : i32, 256 : i32, 32 : i32]tensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 64 : i32]tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 64 : i32]tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 64 : i32]tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 64 : i32]tensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,2,2,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 4 : i32, 64 : i32]tensor<[1,1,4,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'f32', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 64 : i32]tensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,30,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1200 : i32, 64 : i32]tensor<[1,1,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 1200 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1200,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 32, 'bf16', 'dram')shape: [1 : i32, 30 : i32, 40 : i32, 32 : i32]tensor<[1,30,40,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 1 : i32, 1 : i32]tensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,35,35,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1225 : i32, 64 : i32]tensor<[1,1,1225,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')shape: [1 : i32, 35 : i32, 35 : i32, 96 : i32]tensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,480,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (9600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 307200 : i32, 64 : i32]tensor<[1,1,307200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 307200 + d2, d3), memory_config: (9600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,307200,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 1, 'bf16', 'dram')shape: [1 : i32, 480 : i32, 640 : i32, 1 : i32]tensor<[1,480,640,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 1, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,480,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (9600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 307200 : i32, 64 : i32]tensor<[1,1,307200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 307200 + d2, d3), memory_config: (9600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,307200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 64, 'bf16', 'dram')shape: [1 : i32, 480 : i32, 640 : i32, 64 : i32]tensor<[1,480,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 64 : i32]tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 64 : i32]tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 64 : i32]tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 64 : i32]tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 14 : i32]tensor<[1,56,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 64 : i32]tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 192, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 192 : i32]tensor<[1,56,56,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 64 : i32]tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 24 : i32]tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 64 : i32]tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 256 : i32]tensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 64 : i32]tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 64 : i32]tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 64 : i32]tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 64 : i32]tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,60,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4800 : i32, 64 : i32]tensor<[1,1,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 4800 + d2, d3), memory_config: (150, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4800,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 32, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 80 : i32, 32 : i32]tensor<[1,60,80,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 1 : i32, 1 : i32]tensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 64 : i32]tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 128 : i32]tensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 64 : i32]tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 160, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 160 : i32]tensor<[1,32,32,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[160,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')shape: [160 : i32, 1 : i32, 1 : i32]tensor<[160,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 64 : i32]tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 64 : i32]tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 64 : i32]tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 64 : i32]tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 64 : i32]tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 64 : i32]tensor<[1,16,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5329 : i32, 64 : i32]tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')shape: [1 : i32, 73 : i32, 73 : i32, 64 : i32]tensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5329 : i32, 64 : i32]tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')shape: [1 : i32, 73 : i32, 73 : i32, 64 : i32]tensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5329 : i32, 64 : i32]tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5041,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (5041, 96, 'bf16', 'dram')shape: [1 : i32, 71 : i32, 71 : i32, 96 : i32]tensor<[1,71,71,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (5041, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,80,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 6400 : i32, 64 : i32]tensor<[1,1,6400,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 6400 + d2, d3), memory_config: (200, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,6400,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')shape: [1 : i32, 80 : i32, 80 : i32, 24 : i32]tensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,14,14,654,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 654 : i32]tensor<[1,1,196,654,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 640, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 640 : i32]tensor<[1,14,14,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 21, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 672 : i32]tensor<[1,1,100,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 80 : i32]tensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 672 : i32]tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 112 : i32]tensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 672 : i32]tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 672 : i32]tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 56 : i32]tensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 672 : i32]tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 672 : i32]tensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 672 : i32]tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 672 : i32]tensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 672 : i32]tensor<[1,1,196,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 672 : i32]tensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,15,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 225 : i32, 672 : i32]tensor<[1,1,225,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,225,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 15 : i32, 112 : i32]tensor<[1,15,15,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,15,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 225 : i32, 672 : i32]tensor<[1,1,225,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,225,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 15 : i32, 672 : i32]tensor<[1,15,15,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 672 : i32]tensor<[1,1,289,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 672 : i32]tensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 672 : i32]tensor<[1,1,361,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 672, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 672 : i32]tensor<[1,8,8,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 672 : i32]tensor<[1,1,1,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 168, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 168 : i32]tensor<[1,1,1,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 168, 'bf16', 'dram')nannan
ttnn.reshapetensor<[168,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')shape: [168 : i32, 1 : i32, 1 : i32]tensor<[168,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[168,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 168 : i32, 1 : i32, 1 : i32]tensor<[1,168,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 672 : i32]tensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 112 : i32]tensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 672 : i32]tensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 24, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 24 : i32]tensor<[1,20,20,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 24, 'f32', 'dram')nannan
ttnn.reshapetensor<[24,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 1 : i32, 1 : i32]tensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 672 : i32]tensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 546, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 546 : i32]tensor<[1,20,20,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 546, 'f32', 'dram')nannan
ttnn.reshapetensor<[546,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')shape: [546 : i32, 1 : i32, 1 : i32]tensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[546,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 546 : i32, 1 : i32, 1 : i32]tensor<[1,546,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 672 : i32]tensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 672 : i32]tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 672 : i32]tensor<[1,1,400,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 672, 'f32', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 672 : i32]tensor<[1,10,10,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 672, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 576 : i32, 672 : i32]tensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 112 : i32]tensor<[1,24,24,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 576 : i32, 672 : i32]tensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 160 : i32]tensor<[1,24,24,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 576 : i32, 672 : i32]tensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 672 : i32]tensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 576 : i32, 672 : i32]tensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 672 : i32]tensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 672 : i32]tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1344, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 1344 : i32]tensor<[1,28,28,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1344, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 672 : i32]tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1344 : i32]tensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 672 : i32]tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 672 : i32]tensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 672 : i32]tensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 672 : i32]tensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 672 : i32]tensor<[1,1,3136,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 672 : i32]tensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 672 : i32]tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 160 : i32]tensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 672 : i32]tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 192 : i32]tensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 672 : i32]tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 672 : i32]tensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 672 : i32]tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 672 : i32]tensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 672 : i32]tensor<[1,1,49,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 80 : i32]tensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,8,8,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32, 672 : i32]tensor<[1,1,64,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 192 : i32]tensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 68 : i32]tensor<[1,1,196,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 40 : i32]tensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 696 : i32]tensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 174 : i32]tensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')nannan
ttnn.reshapetensor<[174,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')shape: [174 : i32, 1 : i32, 1 : i32]tensor<[174,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[174,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 174 : i32, 1 : i32, 1 : i32]tensor<[1,174,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 174 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 696 : i32]tensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 58 : i32]tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')nannan
ttnn.reshapetensor<[58,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [58 : i32, 1 : i32, 1 : i32]tensor<[58,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[58,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 58 : i32, 1 : i32, 1 : i32]tensor<[1,58,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 696 : i32]tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1392, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 1392 : i32]tensor<[1,28,28,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1392, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 696 : i32]tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1392 : i32]tensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 696 : i32]tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 696 : i32]tensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 696 : i32]tensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 696 : i32]tensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 22, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 696 : i32]tensor<[1,1,3136,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 696 : i32]tensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,704,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 22, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 704 : i32]tensor<[1,1,196,704,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 720 : i32]tensor<[1,1,289,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 120 : i32]tensor<[1,17,17,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 720 : i32]tensor<[1,1,289,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 720 : i32]tensor<[1,17,17,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,21,21,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 441 + d1 * 21 + d2, d3), memory_config: (14, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 441 : i32, 720 : i32]tensor<[1,1,441,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 441 + d1 * 441 + d2, d3), memory_config: (14, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,81,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 720, 'bf16', 'dram')shape: [1 : i32, 9 : i32, 9 : i32, 720 : i32]tensor<[1,9,9,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 720, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,9,9,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 81 : i32, 720 : i32]tensor<[1,1,81,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 81 + d2, d3), memory_config: (3, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,81,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')shape: [1 : i32, 9 : i32, 9 : i32, 208 : i32]tensor<[1,9,9,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 728 : i32]tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 1024, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 1024 : i32]tensor<[1,19,19,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 728 : i32]tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 1024 : i32]tensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 728 : i32]tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 728 : i32]tensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 728 : i32]tensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 728 : i32]tensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 728 : i32]tensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 728 : i32]tensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 728 : i32]tensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 728 : i32]tensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 728 : i32]tensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')shape: [1 : i32, 38 : i32, 38 : i32, 728 : i32]tensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1444 : i32, 728 : i32]tensor<[1,1,1444,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 1444 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 728 : i32]tensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 72 : i32]tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 72 : i32]tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 144 : i32]tensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 72 : i32]tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 18 : i32]tensor<[1,14,14,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 72 : i32]tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 36 : i32]tensor<[1,14,14,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 72 : i32]tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 72 : i32]tensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 72 : i32]tensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 72 : i32]tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 20, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 20 : i32]tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 20, 'bf16', 'dram')nannan
ttnn.reshapetensor<[20,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [20 : i32, 1 : i32, 1 : i32]tensor<[20,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[20,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 20 : i32, 1 : i32, 1 : i32]tensor<[1,20,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 72 : i32]tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 24 : i32]tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[24,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [24 : i32, 1 : i32, 1 : i32]tensor<[24,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 72 : i32]tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 20 : i32]tensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 72 : i32]tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 40 : i32]tensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 72 : i32]tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 72 : i32]tensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 72 : i32]tensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 72 : i32]tensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,40,40,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1600 : i32, 72 : i32]tensor<[1,1,1600,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 1600 + d2, d3), memory_config: (50, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1600,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')shape: [1 : i32, 40 : i32, 40 : i32, 40 : i32]tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 72 : i32]tensor<[1,1,3136,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 12 : i32]tensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 72 : i32]tensor<[1,1,3136,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 24 : i32]tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 72 : i32]tensor<[1,1,3136,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 72 : i32]tensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 72 : i32]tensor<[1,1,3136,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 72 : i32]tensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 6400 : i32, 72 : i32]tensor<[1,1,6400,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 6400 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,6400,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')shape: [1 : i32, 80 : i32, 80 : i32, 24 : i32]tensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 6400 : i32, 72 : i32]tensor<[1,1,6400,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 6400 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,6400,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')shape: [1 : i32, 80 : i32, 80 : i32, 72 : i32]tensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 6400 : i32, 72 : i32]tensor<[1,1,6400,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 6400 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1600,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 72, 'f32', 'dram')shape: [1 : i32, 40 : i32, 40 : i32, 72 : i32]tensor<[1,40,40,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 72, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,14,14,736,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 736 : i32]tensor<[1,1,196,736,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,736,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 23, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 736 : i32]tensor<[1,1,784,736,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 512 : i32]tensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,740,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 740 : i32]tensor<[1,1,196,740,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,334,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 334, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 334 : i32]tensor<[1,14,14,334,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 334, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 768 : i32]tensor<[1,1,196,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 768 : i32]tensor<[1,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 768, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 768 : i32]tensor<[1,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 1 : i32, 1 : i32]tensor<[768,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32, 1 : i32]tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,257,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 257 : i32, 768 : i32]tensor<[1,1,257,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 * 257 + d2, d3), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,257,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 27, 'bf16', 'dram')shape: [1 : i32, 257 : i32, 1 : i32, 27 : i32]tensor<[1,257,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 27, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,257,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 257 : i32, 768 : i32]tensor<[1,1,257,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 * 257 + d2, d3), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,257,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 768, 'bf16', 'dram')shape: [1 : i32, 257 : i32, 1 : i32, 768 : i32]tensor<[1,257,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 3000 : i32, 1 : i32]tensor<[1,768,3000,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304000 + d1 * 3000 + d2, d3), memory_config: (72000, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,768,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (18432, 1, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 768 : i32, 3 : i32, 1 : i32]tensor<[768,768,3,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 3 + d2, d3), memory_config: (55296, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3000,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (94, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3000 : i32, 768 : i32]tensor<[1,1,3000,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 * 3000 + d2, d3), memory_config: (94, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1500,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 + d2, d3), memory_config: (1500, 768, 'bf16', 'dram')shape: [1 : i32, 1500 : i32, 1 : i32, 768 : i32]tensor<[1,1500,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 + d2, d3), memory_config: (1500, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,768,1500,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152000 + d1 * 1500 + d2, d3), memory_config: (36000, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1500 : i32]tensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 1 : i32]tensor<[768,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32]tensor<[1,768,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 768 : i32]tensor<[1,1,1024,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 256 : i32]tensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 768 : i32]tensor<[1,1,49,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 224 : i32]tensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 8 : i32, 1 : i32]tensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,192,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (18432, 1, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[3072,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 8 : i32, 768 : i32]tensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,8,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 3072, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 3072 : i32]tensor<[1,8,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 3072, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3072,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 8 : i32]tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [3072 : i32, 1 : i32]tensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 8 : i32, 1 : i32]tensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,192,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (4608, 1, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[768,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (4608, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 8 : i32, 768 : i32]tensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 768 : i32]tensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 8 : i32]tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 1 : i32]tensor<[768,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32]tensor<[1,768,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 8 : i32, 1 : i32]tensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,768,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (18432, 1, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 768 : i32, 1 : i32, 1 : i32]tensor<[768,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 8 : i32, 768 : i32]tensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,8,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 768 : i32]tensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,768,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 8 : i32]tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 1 : i32]tensor<[768,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32]tensor<[1,768,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,782,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 25, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 782 : i32]tensor<[1,1,49,782,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 25, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 78 : i32]tensor<[1,1,784,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 16 : i32]tensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 78 : i32]tensor<[1,1,784,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 34 : i32]tensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 78 : i32]tensor<[1,1,3136,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 24 : i32]tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,800,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 25, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 800 : i32]tensor<[1,1,196,800,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 25, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,800,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 25, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 800 : i32]tensor<[1,1,49,800,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 25, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 272, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 272 : i32]tensor<[1,7,7,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 272, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 80 : i32]tensor<[1,1,100,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 480 : i32]tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 80 : i32]tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,100,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 100, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 100 : i32]tensor<[1,14,14,100,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 100, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 80 : i32]tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 112 : i32]tensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 80 : i32]tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 184 : i32]tensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 80 : i32]tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 200 : i32]tensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 80 : i32]tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 240 : i32]tensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 80 : i32]tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 480 : i32]tensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 80 : i32]tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 80 : i32]tensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 80 : i32]tensor<[1,1,196,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 92 : i32]tensor<[1,14,14,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,15,15,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 225 : i32, 80 : i32]tensor<[1,1,225,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 225 + d2, d3), memory_config: (8, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,225,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')shape: [1 : i32, 15 : i32, 15 : i32, 480 : i32]tensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 80 : i32]tensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 184 : i32]tensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 80 : i32]tensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 200 : i32]tensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 400 : i32, 80 : i32]tensor<[1,1,400,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 400 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,400,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')shape: [1 : i32, 20 : i32, 20 : i32, 480 : i32]tensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'dram')nannan
ttnn.reshapetensor<[1,80,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (3, 94, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 80 : i32, 3000 : i32, 1 : i32]tensor<[1,80,3000,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240000 + d1 * 3000 + d2, d3), memory_config: (7500, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,80,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 80 : i32, 3 : i32, 1 : i32]tensor<[768,80,3,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 3 + d2, d3), memory_config: (5760, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3000,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (94, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3000 : i32, 80 : i32]tensor<[1,1,3000,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 * 3000 + d2, d3), memory_config: (94, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3000,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (3000, 768, 'bf16', 'dram')shape: [1 : i32, 3000 : i32, 1 : i32, 768 : i32]tensor<[1,3000,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (3000, 768, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,768,3000,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304000 + d1 * 3000 + d2, d3), memory_config: (72000, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 3000 : i32]tensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 1 : i32]tensor<[768,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32]tensor<[1,768,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 80 : i32]tensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 184 : i32]tensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 80 : i32]tensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 200 : i32]tensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 80 : i32]tensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 480 : i32]tensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 80 : i32]tensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 80 : i32]tensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,10,10,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 100 : i32, 816 : i32]tensor<[1,1,100,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 232 : i32]tensor<[1,10,10,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 816 : i32]tensor<[1,1,361,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 136 : i32]tensor<[1,19,19,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 816 : i32]tensor<[1,1,361,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 816 : i32]tensor<[1,19,19,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,23,23,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 529 + d1 * 23 + d2, d3), memory_config: (17, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 529 : i32, 816 : i32]tensor<[1,1,529,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 529 + d1 * 529 + d2, d3), memory_config: (17, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 816, 'bf16', 'dram')shape: [1 : i32, 10 : i32, 10 : i32, 816 : i32]tensor<[1,10,10,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 816, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 832 : i32]tensor<[1,1,196,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 832 : i32]tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 832 : i32]tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 160 : i32]tensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 832 : i32]tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 192 : i32]tensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 832 : i32]tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 256 : i32]tensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 832 : i32]tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 32 : i32]tensor<[1,7,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 832 : i32]tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 384 : i32]tensor<[1,7,7,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 832 : i32]tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 48, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 48 : i32]tensor<[1,7,7,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 48, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,864,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 27, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 864 : i32]tensor<[1,1,196,864,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 27, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,17,17,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 289 : i32, 88 : i32]tensor<[1,1,289,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 528 : i32]tensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 28, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 896 : i32]tensor<[1,1,196,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 28, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 28, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 896 : i32]tensor<[1,1,196,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 28, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 256 : i32]tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 28, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 896 : i32]tensor<[1,1,49,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 28, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 8 : i32]tensor<[1,1,12544,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 8 : i32]tensor<[1,112,112,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 8 : i32]tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 232 : i32]tensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')nannan
ttnn.reshapetensor<[232,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [232 : i32, 1 : i32, 1 : i32]tensor<[232,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,928,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 29, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 928 : i32]tensor<[1,1,196,928,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,928,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 29, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 928 : i32]tensor<[1,1,49,928,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 92 : i32]tensor<[1,1,196,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 92 : i32]tensor<[1,14,14,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 94 : i32]tensor<[1,1,784,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 28 : i32]tensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,12,12,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 144 : i32, 960 : i32]tensor<[1,1,144,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,144,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 272 : i32]tensor<[1,12,12,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 960 : i32]tensor<[1,1,196,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 960 : i32]tensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1280, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1280 : i32]tensor<[1,1,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1280, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 1 : i32, 1 : i32]tensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 960 : i32]tensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 240, 'bf16', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 240 : i32]tensor<[1,1,1,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 240, 'bf16', 'dram')nannan
ttnn.reshapetensor<[240,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [240 : i32, 1 : i32, 1 : i32]tensor<[240,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,24,24,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 576 : i32, 960 : i32]tensor<[1,1,576,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 160 : i32]tensor<[1,24,24,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,24,24,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 576 : i32, 960 : i32]tensor<[1,1,576,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,576,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 960 : i32]tensor<[1,24,24,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,27,27,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 729 + d1 * 27 + d2, d3), memory_config: (23, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 729 : i32, 960 : i32]tensor<[1,1,729,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 729 + d1 * 729 + d2, d3), memory_config: (23, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,144,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 960, 'bf16', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 960 : i32]tensor<[1,12,12,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 960, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,32,32,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 960 : i32]tensor<[1,1,1024,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 960 : i32]tensor<[1,1,1024,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')nannan
ttnn.reshapetensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 1 : i32, 1 : i32]tensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 960 : i32]tensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 960 : i32]tensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 960 : i32]tensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 960 : i32]tensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,64,64,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 960 : i32]tensor<[1,1,4096,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 320 : i32]tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [320 : i32, 1 : i32, 1 : i32]tensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 960 : i32]tensor<[1,1,4096,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 320 : i32]tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [320 : i32, 1 : i32, 1 : i32]tensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 960 : i32]tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 960 : i32]tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 160 : i32]tensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 960 : i32]tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 320 : i32]tensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 960 : i32]tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 80 : i32]tensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 960 : i32]tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 960 : i32]tensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 960 : i32]tensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 960 : i32]tensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,112,112,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 96 : i32]tensor<[1,1,12544,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 96 : i32]tensor<[1,56,56,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,113,113,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12769 + d1 * 113 + d2, d3), memory_config: (400, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12769 : i32, 96 : i32]tensor<[1,1,12769,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12769 + d1 * 12769 + d2, d3), memory_config: (400, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 96 : i32]tensor<[1,56,56,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,121,121,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14641 + d1 * 121 + d2, d3), memory_config: (458, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14641 : i32, 96 : i32]tensor<[1,1,14641,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14641 + d1 * 14641 + d2, d3), memory_config: (458, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 96, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 60 : i32, 96 : i32]tensor<[1,60,60,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,131,131,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17161 + d1 * 131 + d2, d3), memory_config: (537, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 17161 : i32, 96 : i32]tensor<[1,1,17161,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17161 + d1 * 17161 + d2, d3), memory_config: (537, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 96, 'bf16', 'dram')shape: [1 : i32, 65 : i32, 65 : i32, 96 : i32]tensor<[1,65,65,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 96 : i32]tensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 208, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 208 : i32]tensor<[1,14,14,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 208, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 96 : i32]tensor<[1,1,196,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 576 : i32]tensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,19,19,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 361 : i32, 96 : i32]tensor<[1,1,361,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 361 + d2, d3), memory_config: (12, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,361,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')shape: [1 : i32, 19 : i32, 19 : i32, 576 : i32]tensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 96 : i32]tensor<[1,1,784,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1225 : i32, 96 : i32]tensor<[1,1,1225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')shape: [1 : i32, 35 : i32, 35 : i32, 96 : i32]tensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 96 : i32]tensor<[1,1,3136,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,56,56,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 96 : i32]tensor<[1,1,3136,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 24 : i32]tensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,60,60,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3600 : i32, 96 : i32]tensor<[1,1,3600,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 3600 + d2, d3), memory_config: (113, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3600,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')shape: [1 : i32, 60 : i32, 60 : i32, 24 : i32]tensor<[1,60,60,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,65,65,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4225 : i32, 96 : i32]tensor<[1,1,4225,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 4225 + d2, d3), memory_config: (133, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4225,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')shape: [1 : i32, 65 : i32, 65 : i32, 24 : i32]tensor<[1,65,65,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,28,28,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 98 : i32]tensor<[1,1,784,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 20 : i32]tensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,14,14,992,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 31, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 992 : i32]tensor<[1,1,196,992,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 31, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,7,7,992,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 31, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32, 992 : i32]tensor<[1,1,49,992,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 31, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 10 : i32, 1 : i32, 1 : i32]tensor<[1,10,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,10,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 10 : i32]tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 10 : i32, 1 : i32, 1 : i32]tensor<[1,10,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,10,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 10 : i32]tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 11 : i32, 1 : i32, 1 : i32]tensor<[1,11,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,11,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 11 : i32]tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 12 : i32]tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 13 : i32, 1 : i32, 1 : i32]tensor<[1,13,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,13,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 13 : i32]tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 14 : i32, 1 : i32, 1 : i32]tensor<[1,14,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,14,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 14 : i32]tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 15 : i32, 1 : i32, 1 : i32]tensor<[1,15,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,15,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 15 : i32]tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 17 : i32, 1 : i32, 1 : i32]tensor<[1,17,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,17,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 17 : i32]tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,18,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 18 : i32]tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 19 : i32, 1 : i32, 1 : i32]tensor<[1,19,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,19,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 19 : i32]tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 20 : i32, 1 : i32, 1 : i32]tensor<[1,20,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,20,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 20 : i32]tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 21 : i32, 1 : i32, 1 : i32]tensor<[1,21,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,21,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 21 : i32]tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 22 : i32, 1 : i32, 1 : i32]tensor<[1,22,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,22,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 22 : i32]tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 23 : i32, 1 : i32, 1 : i32]tensor<[1,23,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,23,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 23 : i32]tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,24,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 24 : i32]tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 25 : i32, 1 : i32, 1 : i32]tensor<[1,25,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,25,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 25 : i32]tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 26 : i32, 1 : i32, 1 : i32]tensor<[1,26,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,26,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 26 : i32]tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 27 : i32, 1 : i32, 1 : i32]tensor<[1,27,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,27,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 27 : i32]tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 28 : i32, 1 : i32, 1 : i32]tensor<[1,28,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,28,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 28 : i32]tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 29 : i32, 1 : i32, 1 : i32]tensor<[1,29,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 29 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,29,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 29 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 29 : i32]tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,32,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 32 : i32]tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 5 : i32, 1 : i32, 1 : i32]tensor<[1,5,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,5,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 5 : i32]tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32, 1 : i32]tensor<[1,6,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 6 : i32]tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 7 : i32, 1 : i32, 1 : i32]tensor<[1,7,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,7,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 7 : i32]tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 8 : i32]tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 9 : i32, 1 : i32, 1 : i32]tensor<[1,9,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,9,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 9 : i32]tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [45 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[45,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[45,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, u32>', 'dram')shape: [45 : i32]tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [5 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[5,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[5,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [5 : i32]tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,151936,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 4748, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1536 : i32, 151936 : i32]tensor<[1,1536,151936,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1536 + d1, d2), memory_config: (48, 4748, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 128 : i32]tensor<[1,3072,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1536 : i32]tensor<[1,3072,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 11 : i32]tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 12 : i32]tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 12 : i32]tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 13 : i32]tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 13 : i32]tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 14 : i32]tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 15 : i32]tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 17 : i32]tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 18 : i32]tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 19 : i32]tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 20 : i32]tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 21 : i32]tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 22 : i32]tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 23 : i32]tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 24 : i32]tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 25 : i32]tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 26 : i32]tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 27 : i32]tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 28 : i32]tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 29 : i32]tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 32 : i32]tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 45 : i32]tensor<[1,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[46,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 46 : i32]tensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[47,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 47 : i32]tensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[48,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 48 : i32]tensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[49,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 49 : i32]tensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[50,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 50 : i32]tensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[51,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 51 : i32]tensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[52,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 52 : i32]tensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[53,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 53 : i32]tensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[54,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 54 : i32]tensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[55,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 55 : i32]tensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[56,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 56 : i32]tensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[57,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 57 : i32]tensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[58,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 58 : i32]tensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[59,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 59 : i32]tensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 5 : i32]tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[60,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 60 : i32]tensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[61,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 61 : i32]tensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[62,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 62 : i32]tensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[63,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 63 : i32]tensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[64,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 64 : i32]tensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[65,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 65 : i32]tensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[66,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 66 : i32]tensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[67,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 67 : i32]tensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[68,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 68 : i32]tensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[69,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 69 : i32]tensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 6 : i32]tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[70,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 70 : i32]tensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[71,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 71 : i32]tensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[72,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 72 : i32]tensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[73,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 73 : i32]tensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[74,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 74 : i32]tensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[75,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 75 : i32]tensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[76,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 76 : i32]tensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[77,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 77 : i32]tensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[78,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 78 : i32]tensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[79,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 79 : i32]tensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 7 : i32]tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[80,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 80 : i32]tensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[81,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 81 : i32]tensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[82,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 82 : i32]tensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[83,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 83 : i32]tensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[84,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 84 : i32]tensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[85,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 85 : i32]tensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[86,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 86 : i32]tensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[87,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 87 : i32]tensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[88,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 88 : i32]tensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[89,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 89 : i32]tensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 8 : i32]tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[90,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 90 : i32]tensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[91,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 91 : i32]tensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[92,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 92 : i32]tensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[93,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 93 : i32]tensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[94,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 94 : i32]tensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[95,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 95 : i32]tensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[96,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 96 : i32]tensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[97,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 97 : i32]tensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[98,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 98 : i32]tensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[99,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 99 : i32]tensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 9 : i32]tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 5 : i32, 1 : i32]tensor<[1,5,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,5,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 5 : i32]tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 6 : i32]tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 128 : i32]tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 128 : i32]tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 128 : i32]tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 128 : i32]tensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 128 : i32]tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 128 : i32]tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32, 128 : i32]tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 128 : i32]tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 16 : i32]tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 16 : i32]tensor<[1,14,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,71,71,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (158, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5041 : i32, 192 : i32]tensor<[1,1,5041,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 5041 + d2, d3), memory_config: (158, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 35 : i32, 35 : i32, 192 : i32]tensor<[1,35,35,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 256 : i32]tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 256 : i32]tensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32, 256 : i32]tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 256 : i32]tensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 256 : i32]tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 256 : i32]tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 320 : i32]tensor<[1,1,784,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 320 : i32]tensor<[1,14,14,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 32 : i32]tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 32 : i32]tensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 65536 : i32, 32 : i32]tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 32 : i32]tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,35,35,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1225 : i32, 384 : i32]tensor<[1,1,1225,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 17 : i32, 17 : i32, 384 : i32]tensor<[1,17,17,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 4 : i32]tensor<[1,1,196,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 4 : i32]tensor<[1,7,7,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 512 : i32]tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 512 : i32]tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 784 : i32, 512 : i32]tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 512 : i32]tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 640 : i32]tensor<[1,1,196,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 640 : i32]tensor<[1,7,7,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12544 : i32, 64 : i32]tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 64 : i32]tensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16384 : i32, 64 : i32]tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 64 : i32]tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,147,147,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 21609 : i32, 64 : i32]tensor<[1,1,21609,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 73 : i32, 73 : i32, 64 : i32]tensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50176 : i32, 64 : i32]tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 112 : i32, 112 : i32, 64 : i32]tensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,24,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 576 : i32, 64 : i32]tensor<[1,1,576,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,144,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 64 : i32]tensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,360,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 640 + d2, d3), memory_config: (7200, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 230400 : i32, 64 : i32]tensor<[1,1,230400,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 230400 + d2, d3), memory_config: (7200, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 180 : i32, 320 : i32, 64 : i32]tensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3136 : i32, 64 : i32]tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 64 : i32]tensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 196 : i32, 832 : i32]tensor<[1,1,196,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 832 : i32]tensor<[1,7,7,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 10 : i32, 1 : i32]tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 10 : i32, 1 : i32]tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 10 : i32, 1 : i32]tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 10 : i32, 1 : i32]tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,11,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 11 : i32, 1 : i32]tensor<[1,11,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32]tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1392,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 13 : i32, 1 : i32]tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,13,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 13 : i32, 1 : i32]tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,14,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 14 : i32, 1 : i32]tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1536 : i32, 1 : i32, 1 : i32]tensor<[1,1536,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 15 : i32, 1 : i32]tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,15,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 15 : i32, 1 : i32]tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1920,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 60, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1920 : i32, 1 : i32, 1 : i32]tensor<[1,1920,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,232,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2520,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 79, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2520 : i32, 1 : i32, 1 : i32]tensor<[1,2520,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32]tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32]tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3712,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3712 : i32, 1 : i32, 1 : i32]tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,480,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,480,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,480,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,480,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,672,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,672,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,696,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 696 : i32, 1 : i32, 1 : i32]tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32]tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,72,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,72,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,72,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32, 1 : i32]tensor<[1,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 7 : i32, 1 : i32]tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32]tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 9 : i32, 1 : i32]tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,13,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 13 : i32, 1 : i32]tensor<[2,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32]tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[100,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 100 : i32, 1 : i32, 1 : i32]tensor<[1,100,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 160 : i32]tensor<[1,1,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[640,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 640 : i32]tensor<[1,1,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1056,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1056 : i32, 1 : i32, 1 : i32]tensor<[1,1056,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1056,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1056 : i32, 1 : i32, 1 : i32]tensor<[1,1056,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1088,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1088 : i32, 1 : i32, 1 : i32]tensor<[1,1088,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1088,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1088 : i32, 1 : i32, 1 : i32]tensor<[1,1088,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1120 : i32, 1 : i32, 1 : i32]tensor<[1,1120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1120 : i32, 1 : i32, 1 : i32]tensor<[1,1120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32, 1 : i32, 1 : i32]tensor<[1,1152,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32, 1 : i32, 1 : i32]tensor<[1,1152,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32, 1 : i32, 1 : i32]tensor<[1,1152,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[116,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 116 : i32, 1 : i32, 1 : i32]tensor<[1,116,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 116 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1184 : i32, 1 : i32, 1 : i32]tensor<[1,1184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1184 : i32, 1 : i32, 1 : i32]tensor<[1,1184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 320 : i32]tensor<[1,1,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1216,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1216 : i32, 1 : i32, 1 : i32]tensor<[1,1216,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1216,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1216 : i32, 1 : i32, 1 : i32]tensor<[1,1216,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1248 : i32, 1 : i32, 1 : i32]tensor<[1,1248,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1248 : i32, 1 : i32, 1 : i32]tensor<[1,1248,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1248 : i32, 1 : i32, 1 : i32]tensor<[1,1248,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 128 : i32]tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1312,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1312 : i32, 1 : i32, 1 : i32]tensor<[1,1312,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1312,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1312 : i32, 1 : i32, 1 : i32]tensor<[1,1312,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1344 : i32, 1 : i32, 1 : i32]tensor<[1,1344,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1344 : i32, 1 : i32, 1 : i32]tensor<[1,1344,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1344 : i32, 1 : i32, 1 : i32]tensor<[1,1344,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[134,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 134 : i32, 1 : i32, 1 : i32]tensor<[1,134,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 134 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[136,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 136 : i32, 1 : i32, 1 : i32]tensor<[1,136,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1280 : i32]tensor<[1,1,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1376,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1376 : i32, 1 : i32, 1 : i32]tensor<[1,1376,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1376,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1376 : i32, 1 : i32, 1 : i32]tensor<[1,1376,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1408,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1408 : i32, 1 : i32, 1 : i32]tensor<[1,1408,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1408,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1408 : i32, 1 : i32, 1 : i32]tensor<[1,1408,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1440,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1440 : i32, 1 : i32, 1 : i32]tensor<[1,1440,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1440,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1440 : i32, 1 : i32, 1 : i32]tensor<[1,1440,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 192 : i32]tensor<[1,1,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1472,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1472 : i32, 1 : i32, 1 : i32]tensor<[1,1472,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1472,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1472 : i32, 1 : i32, 1 : i32]tensor<[1,1472,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 128 : i32]tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 512 : i32]tensor<[1,1,1,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[14,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 14 : i32, 1 : i32, 1 : i32]tensor<[1,14,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1504,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1504 : i32, 1 : i32, 1 : i32]tensor<[1,1504,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1504,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1504 : i32, 1 : i32, 1 : i32]tensor<[1,1504,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 1 : i32, 1 : i32]tensor<[1,1536,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 1 : i32, 1 : i32]tensor<[1,1536,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 1 : i32, 1 : i32]tensor<[1,1536,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1568,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1568 : i32, 1 : i32, 1 : i32]tensor<[1,1568,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1568,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1568 : i32, 1 : i32, 1 : i32]tensor<[1,1568,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1600,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1600 : i32, 1 : i32, 1 : i32]tensor<[1,1600,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1600,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1600 : i32, 1 : i32, 1 : i32]tensor<[1,1600,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1632 : i32, 1 : i32, 1 : i32]tensor<[1,1632,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1632 : i32, 1 : i32, 1 : i32]tensor<[1,1632,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1632 : i32, 1 : i32, 1 : i32]tensor<[1,1632,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 192 : i32]tensor<[1,1,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 32 : i32]tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 384 : i32]tensor<[1,1,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1664,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1664 : i32, 1 : i32, 1 : i32]tensor<[1,1664,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1664,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1664 : i32, 1 : i32, 1 : i32]tensor<[1,1664,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[168,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 168 : i32, 1 : i32, 1 : i32]tensor<[1,168,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1696 : i32, 1 : i32, 1 : i32]tensor<[1,1696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1696 : i32, 1 : i32, 1 : i32]tensor<[1,1696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1728 : i32, 1 : i32, 1 : i32]tensor<[1,1728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1728 : i32, 1 : i32, 1 : i32]tensor<[1,1728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1760,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1760 : i32, 1 : i32, 1 : i32]tensor<[1,1760,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1760,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1760 : i32, 1 : i32, 1 : i32]tensor<[1,1760,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1792,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1792 : i32, 1 : i32, 1 : i32]tensor<[1,1792,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1792,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1792 : i32, 1 : i32, 1 : i32]tensor<[1,1792,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1824,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1824 : i32, 1 : i32, 1 : i32]tensor<[1,1824,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 184 : i32, 1 : i32, 1 : i32]tensor<[1,184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 184 : i32, 1 : i32, 1 : i32]tensor<[1,184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 184 : i32, 1 : i32, 1 : i32]tensor<[1,184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1856,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (58, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1856 : i32, 1 : i32, 1 : i32]tensor<[1,1856,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1856 + d1 + d2, d3), memory_config: (58, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1888,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1888 : i32, 1 : i32, 1 : i32]tensor<[1,1888,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1888 + d1 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32]tensor<[1,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1920 : i32, 1 : i32, 1 : i32]tensor<[1,1920,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[196,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 196 : i32, 1 : i32, 1 : i32]tensor<[1,196,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 200 : i32, 1 : i32, 1 : i32]tensor<[1,200,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 200 : i32, 1 : i32, 1 : i32]tensor<[1,200,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 200 : i32, 1 : i32, 1 : i32]tensor<[1,200,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[208,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 208 : i32, 1 : i32, 1 : i32]tensor<[1,208,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[208,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 208 : i32, 1 : i32, 1 : i32]tensor<[1,208,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[20,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 20 : i32, 1 : i32, 1 : i32]tensor<[1,20,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2520,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2520 : i32, 1 : i32, 1 : i32]tensor<[1,2520,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2520,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2520 : i32, 1 : i32, 1 : i32]tensor<[1,2520,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1280 : i32]tensor<[1,1,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 160 : i32]tensor<[1,1,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 32 : i32]tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32]tensor<[1,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[272,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 272 : i32, 1 : i32, 1 : i32]tensor<[1,272,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[272,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 272 : i32, 1 : i32, 1 : i32]tensor<[1,272,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 256 : i32]tensor<[1,1,1,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[28,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 28 : i32, 1 : i32, 1 : i32]tensor<[1,28,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 512 : i32]tensor<[1,1,1,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 128 : i32]tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 320 : i32]tensor<[1,1,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32]tensor<[1,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[334,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 334 : i32, 1 : i32, 1 : i32]tensor<[1,334,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 334 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[34,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 34 : i32, 1 : i32, 1 : i32]tensor<[1,34,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 352 : i32, 1 : i32, 1 : i32]tensor<[1,352,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 352 : i32, 1 : i32, 1 : i32]tensor<[1,352,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 352 : i32, 1 : i32, 1 : i32]tensor<[1,352,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3712,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3712 : i32, 1 : i32, 1 : i32]tensor<[1,3712,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3712,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3712 : i32, 1 : i32, 1 : i32]tensor<[1,3712,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 320 : i32]tensor<[1,1,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 384 : i32]tensor<[1,1,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32]tensor<[1,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[416,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 416 : i32, 1 : i32, 1 : i32]tensor<[1,416,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[416,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 416 : i32, 1 : i32, 1 : i32]tensor<[1,416,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[462,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 462 : i32, 1 : i32, 1 : i32]tensor<[1,462,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 462 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[46,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 46 : i32, 1 : i32, 1 : i32]tensor<[1,46,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 128 : i32]tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[528,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 528 : i32, 1 : i32, 1 : i32]tensor<[1,528,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[544,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 544 : i32, 1 : i32, 1 : i32]tensor<[1,544,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 544 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[56,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 56 : i32, 1 : i32, 1 : i32]tensor<[1,56,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[56,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 56 : i32, 1 : i32, 1 : i32]tensor<[1,56,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 128 : i32]tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32, 1 : i32, 1 : i32]tensor<[1,576,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32, 1 : i32, 1 : i32]tensor<[1,576,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32, 1 : i32, 1 : i32]tensor<[1,576,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[58,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 58 : i32, 1 : i32, 1 : i32]tensor<[1,58,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[608,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 608 : i32, 1 : i32, 1 : i32]tensor<[1,608,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 608 + d1 + d2, d3), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[60,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 60 : i32, 1 : i32, 1 : i32]tensor<[1,60,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1280 : i32]tensor<[1,1,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 192 : i32]tensor<[1,1,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[68,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 68 : i32, 1 : i32, 1 : i32]tensor<[1,68,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[68,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 68 : i32, 1 : i32, 1 : i32]tensor<[1,68,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 696 : i32, 1 : i32, 1 : i32]tensor<[1,696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 696 : i32, 1 : i32, 1 : i32]tensor<[1,696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[704,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 704 : i32, 1 : i32, 1 : i32]tensor<[1,704,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 704 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[720,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 720 : i32, 1 : i32, 1 : i32]tensor<[1,720,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[720,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 720 : i32, 1 : i32, 1 : i32]tensor<[1,720,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 728 : i32, 1 : i32, 1 : i32]tensor<[1,728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 728 : i32, 1 : i32, 1 : i32]tensor<[1,728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[736,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 736 : i32, 1 : i32, 1 : i32]tensor<[1,736,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 736 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32, 1 : i32]tensor<[1,768,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[78,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 78 : i32, 1 : i32, 1 : i32]tensor<[1,78,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4544,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 4544 : i32]tensor<[1,1,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 2048 : i32]tensor<[1,1,1,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[800,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 800 : i32, 1 : i32, 1 : i32]tensor<[1,800,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[816,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 816 : i32, 1 : i32, 1 : i32]tensor<[1,816,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[816,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 816 : i32, 1 : i32, 1 : i32]tensor<[1,816,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[832,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 832 : i32, 1 : i32, 1 : i32]tensor<[1,832,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[864,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (27, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 864 : i32, 1 : i32, 1 : i32]tensor<[1,864,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 + d2, d3), memory_config: (27, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[88,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 88 : i32, 1 : i32, 1 : i32]tensor<[1,88,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[896,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 896 : i32, 1 : i32, 1 : i32]tensor<[1,896,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[896,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 896 : i32, 1 : i32, 1 : i32]tensor<[1,896,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[928,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 928 : i32, 1 : i32, 1 : i32]tensor<[1,928,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[928,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 928 : i32, 1 : i32, 1 : i32]tensor<[1,928,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[92,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 92 : i32, 1 : i32, 1 : i32]tensor<[1,92,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 92 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[98,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 98 : i32, 1 : i32, 1 : i32]tensor<[1,98,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[992,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 992 : i32, 1 : i32, 1 : i32]tensor<[1,992,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[992,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 992 : i32, 1 : i32, 1 : i32]tensor<[1,992,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 128 : i32]tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 2048 : i32]tensor<[1,1,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32]tensor<[1,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3584,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3584 : i32]tensor<[1,1,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32]tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 + d1 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50280 : i32]tensor<[1,50280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50280 : i32]tensor<[1,50280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [12 : i32]tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50280 : i32]tensor<[1,50280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32]tensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50280 : i32]tensor<[1,50280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50280 : i32]tensor<[1,50280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50280 : i32]tensor<[1,50280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 12 : i32, 16 : i32]tensor<[1,12,16,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,151936,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 151936 : i32]tensor<[1,151936,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,32128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32128 : i32]tensor<[1,32128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 50257 : i32]tensor<[1,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 50272 : i32]tensor<[1,50272,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 51200 : i32]tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (4, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 120 : i32, 160 : i32]tensor<[1,120,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 120 + d1, d2), memory_config: (4, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (4, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 120 : i32, 160 : i32]tensor<[1,120,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 120 + d1, d2), memory_config: (4, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 30 : i32, 40 : i32]tensor<[1,30,40,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 30 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 30 : i32, 40 : i32]tensor<[1,30,40,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 30 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,4,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 4 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [2 : i32, 4 : i32, 1 : i32]tensor<[2,4,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 60 : i32, 80 : i32]tensor<[1,60,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 60 : i32, 80 : i32]tensor<[1,60,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 16 : i32, 96 : i32]tensor<[1,32,16,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 16 : i32, 96 : i32]tensor<[1,32,16,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 16 : i32, 96 : i32]tensor<[1,32,16,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 224 : i32, 224 : i32]tensor<[1,224,224,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 224 + d1, d2), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 224 : i32, 224 : i32]tensor<[1,224,224,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 224 + d1, d2), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 224 : i32, 224 : i32]tensor<[1,224,224,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 224 + d1, d2), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3,320,320,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 320 + d2, d3), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')shape: [3 : i32, 320 : i32, 320 : i32]tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,720,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2160 + d1 * 720 + d2, d3), memory_config: (68, 40, 'tile<32x32, bf16>', 'dram')shape: [3 : i32, 720 : i32, 1280 : i32]tensor<[3,720,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 720 + d1, d2), memory_config: (68, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [45 : i32]tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 50257 : i32]tensor<[1,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32]tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [5 : i32]tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 51200 : i32]tensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 50272 : i32]tensor<[1,50272,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50280 : i32]tensor<[1,50280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50280 : i32]tensor<[1,50280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50280 : i32]tensor<[1,50280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32]tensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50280 : i32]tensor<[1,50280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')shape: [3234 : i32]tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')shape: [3234 : i32]tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')shape: [3234 : i32]tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')shape: [3234 : i32]tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 12 : i32, 144 : i32, 32 : i32]tensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 12 : i32, 144 : i32, 32 : i32]tensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 12 : i32, 144 : i32, 32 : i32]tensor<[121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 6 : i32, 144 : i32, 32 : i32]tensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 6 : i32, 144 : i32, 32 : i32]tensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 6 : i32, 144 : i32, 32 : i32]tensor<[121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 1 : i32, 1280 : i32]tensor<[1370,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 1 : i32, 1280 : i32]tensor<[1370,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 1 : i32, 1280 : i32]tensor<[1370,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 8 : i32, 49 : i32, 32 : i32]tensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 8 : i32, 49 : i32, 32 : i32]tensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 8 : i32, 49 : i32, 32 : i32]tensor<[16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 257 : i32, 64 : i32]tensor<[1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 257 : i32, 64 : i32]tensor<[1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 257 : i32, 64 : i32]tensor<[1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 49 : i32, 32 : i32]tensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 49 : i32, 32 : i32]tensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 49 : i32, 32 : i32]tensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 144 : i32, 32 : i32]tensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 144 : i32, 32 : i32]tensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 144 : i32, 32 : i32]tensor<[36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 24 : i32, 144 : i32, 32 : i32]tensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 24 : i32, 144 : i32, 32 : i32]tensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 24 : i32, 144 : i32, 32 : i32]tensor<[36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 6 : i32, 144 : i32, 32 : i32]tensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 6 : i32, 144 : i32, 32 : i32]tensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 6 : i32, 144 : i32, 32 : i32]tensor<[484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 16 : i32, 49 : i32, 32 : i32]tensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 16 : i32, 49 : i32, 32 : i32]tensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 16 : i32, 49 : i32, 32 : i32]tensor<[4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 48 : i32, 144 : i32, 32 : i32]tensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 48 : i32, 144 : i32, 32 : i32]tensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 48 : i32, 144 : i32, 32 : i32]tensor<[4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 4 : i32, 49 : i32, 32 : i32]tensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 4 : i32, 49 : i32, 32 : i32]tensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 4 : i32, 49 : i32, 32 : i32]tensor<[64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 24 : i32, 144 : i32, 32 : i32]tensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 24 : i32, 144 : i32, 32 : i32]tensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 24 : i32, 144 : i32, 32 : i32]tensor<[9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 48 : i32, 144 : i32, 32 : i32]tensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 48 : i32, 144 : i32, 32 : i32]tensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 48 : i32, 144 : i32, 32 : i32]tensor<[9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [2 : i32, 1 : i32]tensor<[2,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [2 : i32, 1 : i32]tensor<[2,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [2 : i32, 1 : i32]tensor<[2,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [2 : i32, 1 : i32]tensor<[2,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 100 : i32, 4 : i32]tensor<[1,100,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 100 : i32, 92 : i32]tensor<[1,100,92,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[8,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [8 : i32]tensor<[8,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3,720,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 720 + d1, d2), memory_config: (68, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3 : i32, 720 : i32, 1280 : i32]tensor<[1,3,720,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2160 + d1 * 720 + d2, d3), memory_config: (68, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32]tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 480 : i32, 640 : i32]tensor<[1,480,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 480 + d1, d2), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32]tensor<[1,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,25,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 25 : i32]tensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3,1370,1,1,1280,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1370 + d1 + d2 + d3, d4), memory_config: (129, 40, 'tile<32x32, bf16>', 'dram')shape: [3 : i32, 1370 : i32, 1 : i32, 1280 : i32]tensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 16 : i32, 16 : i32, 1 : i32]tensor<[1,5,16,16,1,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1280 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[100,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 100 : i32, 1 : i32, 256 : i32]tensor<[1,100,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')shape: [3234 : i32, 1 : i32, 1 : i32]tensor<[3234,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')shape: [3234 : i32, 2 : i32, 1 : i32]tensor<[3234,2,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,1,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 1 : i32, 1 : i32, 2048 : i32]tensor<[4,1,1,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[100,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 100 : i32, 1 : i32, 1 : i32]tensor<[1,100,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32, 1 : i32]tensor<[1,1024,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1056,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1056 : i32, 1 : i32, 1 : i32]tensor<[1,1056,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1056,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1056 : i32, 1 : i32, 1 : i32]tensor<[1,1056,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 + d2, d3), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1088,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1088 : i32, 1 : i32, 1 : i32]tensor<[1,1088,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1088,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1088 : i32, 1 : i32, 1 : i32]tensor<[1,1088,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1088 + d1 + d2, d3), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1120 : i32, 1 : i32, 1 : i32]tensor<[1,1120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1120 : i32, 1 : i32, 1 : i32]tensor<[1,1120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 112 : i32, 1 : i32, 1 : i32]tensor<[1,112,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32, 1 : i32, 1 : i32]tensor<[1,1152,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32, 1 : i32, 1 : i32]tensor<[1,1152,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1152 : i32, 1 : i32, 1 : i32]tensor<[1,1152,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 + d2, d3), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[116,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 116 : i32, 1 : i32, 1 : i32]tensor<[1,116,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 116 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1184 : i32, 1 : i32, 1 : i32]tensor<[1,1184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1184 : i32, 1 : i32, 1 : i32]tensor<[1,1184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1184 + d1 + d2, d3), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 120 : i32, 1 : i32, 1 : i32]tensor<[1,120,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1216,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1216 : i32, 1 : i32, 1 : i32]tensor<[1,1216,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1216,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1216 : i32, 1 : i32, 1 : i32]tensor<[1,1216,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1216 + d1 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1248 : i32, 1 : i32, 1 : i32]tensor<[1,1248,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1248 : i32, 1 : i32, 1 : i32]tensor<[1,1248,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1248 : i32, 1 : i32, 1 : i32]tensor<[1,1248,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1248 + d1 + d2, d3), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 1 : i32, 1 : i32]tensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 1 : i32, 1 : i32]tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 1 : i32]tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1312,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1312 : i32, 1 : i32, 1 : i32]tensor<[1,1312,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1312,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1312 : i32, 1 : i32, 1 : i32]tensor<[1,1312,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1312 + d1 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1344 : i32, 1 : i32, 1 : i32]tensor<[1,1344,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1344 : i32, 1 : i32, 1 : i32]tensor<[1,1344,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1344 : i32, 1 : i32, 1 : i32]tensor<[1,1344,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[134,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 134 : i32, 1 : i32, 1 : i32]tensor<[1,134,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 134 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[136,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 136 : i32, 1 : i32, 1 : i32]tensor<[1,136,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1376,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1376 : i32, 1 : i32, 1 : i32]tensor<[1,1376,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1376,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1376 : i32, 1 : i32, 1 : i32]tensor<[1,1376,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1376 + d1 + d2, d3), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1392 : i32, 1 : i32, 1 : i32]tensor<[1,1392,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1408,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1408 : i32, 1 : i32, 1 : i32]tensor<[1,1408,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1408,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1408 : i32, 1 : i32, 1 : i32]tensor<[1,1408,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1408 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1440,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1440 : i32, 1 : i32, 1 : i32]tensor<[1,1440,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1440,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1440 : i32, 1 : i32, 1 : i32]tensor<[1,1440,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 + d2, d3), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 144 : i32, 1 : i32, 1 : i32]tensor<[1,144,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1472,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1472 : i32, 1 : i32, 1 : i32]tensor<[1,1472,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1472,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1472 : i32, 1 : i32, 1 : i32]tensor<[1,1472,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1472 + d1 + d2, d3), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[14,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 14 : i32, 1 : i32, 1 : i32]tensor<[1,14,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1504,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1504 : i32, 1 : i32, 1 : i32]tensor<[1,1504,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1504,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1504 : i32, 1 : i32, 1 : i32]tensor<[1,1504,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1504 + d1 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 1 : i32, 1 : i32]tensor<[1,1536,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 1 : i32, 1 : i32]tensor<[1,1536,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 1 : i32, 1 : i32]tensor<[1,1536,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1568,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1568 : i32, 1 : i32, 1 : i32]tensor<[1,1568,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1568,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1568 : i32, 1 : i32, 1 : i32]tensor<[1,1568,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1600,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1600 : i32, 1 : i32, 1 : i32]tensor<[1,1600,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1600,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1600 : i32, 1 : i32, 1 : i32]tensor<[1,1600,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 160 : i32, 1 : i32, 1 : i32]tensor<[1,160,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1632 : i32, 1 : i32, 1 : i32]tensor<[1,1632,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1632 : i32, 1 : i32, 1 : i32]tensor<[1,1632,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1632 : i32, 1 : i32, 1 : i32]tensor<[1,1632,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1632 + d1 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1664,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1664 : i32, 1 : i32, 1 : i32]tensor<[1,1664,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1664,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1664 : i32, 1 : i32, 1 : i32]tensor<[1,1664,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1664 + d1 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[168,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 168 : i32, 1 : i32, 1 : i32]tensor<[1,168,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1696 : i32, 1 : i32, 1 : i32]tensor<[1,1696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1696 : i32, 1 : i32, 1 : i32]tensor<[1,1696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1696 + d1 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1728 : i32, 1 : i32, 1 : i32]tensor<[1,1728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1728 : i32, 1 : i32, 1 : i32]tensor<[1,1728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 + d2, d3), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1760,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1760 : i32, 1 : i32, 1 : i32]tensor<[1,1760,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1760,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1760 : i32, 1 : i32, 1 : i32]tensor<[1,1760,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1760 + d1 + d2, d3), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1792,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1792 : i32, 1 : i32, 1 : i32]tensor<[1,1792,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1792,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1792 : i32, 1 : i32, 1 : i32]tensor<[1,1792,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1824,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1824 : i32, 1 : i32, 1 : i32]tensor<[1,1824,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 184 : i32, 1 : i32, 1 : i32]tensor<[1,184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 184 : i32, 1 : i32, 1 : i32]tensor<[1,184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 184 : i32, 1 : i32, 1 : i32]tensor<[1,184,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 184 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1856,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (58, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1856 : i32, 1 : i32, 1 : i32]tensor<[1,1856,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1856 + d1 + d2, d3), memory_config: (58, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1888,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1888 : i32, 1 : i32, 1 : i32]tensor<[1,1888,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1888 + d1 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 18 : i32, 1 : i32, 1 : i32]tensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1920 : i32, 1 : i32, 1 : i32]tensor<[1,1920,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 1 : i32, 1 : i32]tensor<[1,192,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[196,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 196 : i32, 1 : i32, 1 : i32]tensor<[1,196,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 200 : i32, 1 : i32, 1 : i32]tensor<[1,200,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 200 : i32, 1 : i32, 1 : i32]tensor<[1,200,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 200 : i32, 1 : i32, 1 : i32]tensor<[1,200,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 200 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32, 1 : i32]tensor<[1,2048,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[208,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 208 : i32, 1 : i32, 1 : i32]tensor<[1,208,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[208,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 208 : i32, 1 : i32, 1 : i32]tensor<[1,208,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[20,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 20 : i32, 1 : i32, 1 : i32]tensor<[1,20,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 224 : i32, 1 : i32, 1 : i32]tensor<[1,224,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 232 : i32, 1 : i32, 1 : i32]tensor<[1,232,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 240 : i32, 1 : i32, 1 : i32]tensor<[1,240,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 1 : i32, 1 : i32]tensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2520,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2520 : i32, 1 : i32, 1 : i32]tensor<[1,2520,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2520,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2520 : i32, 1 : i32, 1 : i32]tensor<[1,2520,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 1 : i32]tensor<[1,256,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[272,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 272 : i32, 1 : i32, 1 : i32]tensor<[1,272,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[272,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 272 : i32, 1 : i32, 1 : i32]tensor<[1,272,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 288 : i32, 1 : i32, 1 : i32]tensor<[1,288,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[28,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 28 : i32, 1 : i32, 1 : i32]tensor<[1,28,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 1 : i32, 1 : i32]tensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[334,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 334 : i32, 1 : i32, 1 : i32]tensor<[1,334,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 334 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 336 : i32, 1 : i32, 1 : i32]tensor<[1,336,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[34,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 34 : i32, 1 : i32, 1 : i32]tensor<[1,34,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 352 : i32, 1 : i32, 1 : i32]tensor<[1,352,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 352 : i32, 1 : i32, 1 : i32]tensor<[1,352,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 352 : i32, 1 : i32, 1 : i32]tensor<[1,352,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 1 : i32, 1 : i32]tensor<[1,36,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3712,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3712 : i32, 1 : i32, 1 : i32]tensor<[1,3712,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3712,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3712 : i32, 1 : i32, 1 : i32]tensor<[1,3712,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 1 : i32, 1 : i32]tensor<[1,384,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 40 : i32, 1 : i32, 1 : i32]tensor<[1,40,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[416,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 416 : i32, 1 : i32, 1 : i32]tensor<[1,416,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[416,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 416 : i32, 1 : i32, 1 : i32]tensor<[1,416,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 448 : i32, 1 : i32, 1 : i32]tensor<[1,448,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[462,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 462 : i32, 1 : i32, 1 : i32]tensor<[1,462,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 462 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[46,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 46 : i32, 1 : i32, 1 : i32]tensor<[1,46,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 480 : i32, 1 : i32, 1 : i32]tensor<[1,480,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 48 : i32, 1 : i32, 1 : i32]tensor<[1,48,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 1 : i32, 1 : i32]tensor<[1,512,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[528,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 528 : i32, 1 : i32, 1 : i32]tensor<[1,528,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 528 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[544,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 544 : i32, 1 : i32, 1 : i32]tensor<[1,544,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 544 + d1 + d2, d3), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[56,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 56 : i32, 1 : i32, 1 : i32]tensor<[1,56,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[56,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 56 : i32, 1 : i32, 1 : i32]tensor<[1,56,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32, 1 : i32, 1 : i32]tensor<[1,576,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32, 1 : i32, 1 : i32]tensor<[1,576,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 576 : i32, 1 : i32, 1 : i32]tensor<[1,576,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[58,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 58 : i32, 1 : i32, 1 : i32]tensor<[1,58,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[608,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 608 : i32, 1 : i32, 1 : i32]tensor<[1,608,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 608 + d1 + d2, d3), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[60,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 60 : i32, 1 : i32, 1 : i32]tensor<[1,60,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[640,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 640 : i32, 1 : i32, 1 : i32]tensor<[1,640,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 1 : i32]tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 672 : i32, 1 : i32, 1 : i32]tensor<[1,672,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[68,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 68 : i32, 1 : i32, 1 : i32]tensor<[1,68,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[68,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 68 : i32, 1 : i32, 1 : i32]tensor<[1,68,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 696 : i32, 1 : i32, 1 : i32]tensor<[1,696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 696 : i32, 1 : i32, 1 : i32]tensor<[1,696,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[704,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 704 : i32, 1 : i32, 1 : i32]tensor<[1,704,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 704 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[720,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 720 : i32, 1 : i32, 1 : i32]tensor<[1,720,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[720,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 720 : i32, 1 : i32, 1 : i32]tensor<[1,720,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 728 : i32, 1 : i32, 1 : i32]tensor<[1,728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 728 : i32, 1 : i32, 1 : i32]tensor<[1,728,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 728 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 1 : i32, 1 : i32]tensor<[1,72,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[736,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 736 : i32, 1 : i32, 1 : i32]tensor<[1,736,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 736 + d1 + d2, d3), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32, 1 : i32, 1 : i32]tensor<[1,768,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[78,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 78 : i32, 1 : i32, 1 : i32]tensor<[1,78,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[800,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 800 : i32, 1 : i32, 1 : i32]tensor<[1,800,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 80 : i32, 1 : i32, 1 : i32]tensor<[1,80,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[816,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 816 : i32, 1 : i32, 1 : i32]tensor<[1,816,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[816,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 816 : i32, 1 : i32, 1 : i32]tensor<[1,816,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[832,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 832 : i32, 1 : i32, 1 : i32]tensor<[1,832,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 832 + d1 + d2, d3), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[864,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (27, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 864 : i32, 1 : i32, 1 : i32]tensor<[1,864,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 + d2, d3), memory_config: (27, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[88,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 88 : i32, 1 : i32, 1 : i32]tensor<[1,88,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[896,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 896 : i32, 1 : i32, 1 : i32]tensor<[1,896,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[896,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 896 : i32, 1 : i32, 1 : i32]tensor<[1,896,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 1 : i32]tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[928,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 928 : i32, 1 : i32, 1 : i32]tensor<[1,928,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[928,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 928 : i32, 1 : i32, 1 : i32]tensor<[1,928,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 928 + d1 + d2, d3), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[92,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 92 : i32, 1 : i32, 1 : i32]tensor<[1,92,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 92 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 1 : i32, 1 : i32]tensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 96 : i32, 1 : i32, 1 : i32]tensor<[1,96,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[98,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 98 : i32, 1 : i32, 1 : i32]tensor<[1,98,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[992,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 992 : i32, 1 : i32, 1 : i32]tensor<[1,992,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[992,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 992 : i32, 1 : i32, 1 : i32]tensor<[1,992,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 992 + d1 + d2, d3), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 1 : i32]tensor<[2,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [5 : i32]tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [5 : i32, 1 : i32]tensor<[5,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 5 : i32]tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1370,1,3,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1370 : i32, 1 : i32, 3 : i32, 1280 : i32]tensor<[1,1370,1,3,1280,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 4110 + d1 * 3 + d2 * 3 + d3, d4), memory_config: (129, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 13 : i32]tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[13,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 13 : i32]tensor<[1,13,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 49 : i32, 49 : i32]tensor<[1,16,1,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 784 + d1 * 49 + d2 * 49 + d3, d4), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 49 : i32]tensor<[16,1,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 49 : i32, 1 : i32]tensor<[16,49,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 49 : i32, 49 : i32]tensor<[16,1,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 10 : i32]tensor<[1,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 10 : i32]tensor<[1,1,10,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 10 : i32, 16 : i32]tensor<[1,1,10,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,11,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 11 : i32]tensor<[1,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 11 : i32]tensor<[1,1,11,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 11 : i32, 16 : i32]tensor<[1,1,11,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 * 11 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,120,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 120 + d1, d2), memory_config: (4, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 120 : i32, 160 : i32]tensor<[1,1,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (4, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12 : i32]tensor<[1,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 12 : i32]tensor<[1,1,12,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12 : i32, 128 : i32]tensor<[1,1,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12 : i32, 12 : i32]tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12 : i32, 16 : i32]tensor<[1,1,12,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 13 : i32]tensor<[1,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 13 : i32]tensor<[1,1,13,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 13 : i32, 128 : i32]tensor<[1,1,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 13 : i32, 13 : i32]tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 13 : i32, 16 : i32]tensor<[1,1,13,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14 : i32]tensor<[1,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 14 : i32]tensor<[1,1,14,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 14 : i32, 16 : i32]tensor<[1,1,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 15 : i32]tensor<[1,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 15 : i32]tensor<[1,1,15,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 15 : i32, 16 : i32]tensor<[1,1,15,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 * 15 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32]tensor<[1,16,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16 : i32]tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 16 : i32]tensor<[1,1,16,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,17,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 17 : i32]tensor<[1,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 17 : i32]tensor<[1,1,17,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,18,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 18 : i32]tensor<[1,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 18 : i32]tensor<[1,1,18,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,19,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 19 : i32]tensor<[1,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 19 : i32]tensor<[1,1,19,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 10 : i32]tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,10,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 10 : i32]tensor<[1,1,1,10,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 11 : i32]tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,11,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 11 : i32]tensor<[1,1,1,11,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 128 : i32]tensor<[1,1,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 12 : i32]tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 12 : i32]tensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 13 : i32]tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,13,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 13 : i32]tensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 14 : i32]tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,14,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 14 : i32]tensor<[1,1,1,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 15 : i32]tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,15,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 15 : i32]tensor<[1,1,1,15,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 16 : i32]tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 16 : i32]tensor<[1,1,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 17 : i32]tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,17,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 17 : i32]tensor<[1,1,1,17,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 18 : i32]tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,18,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 18 : i32]tensor<[1,1,1,18,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 19 : i32]tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,19,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 19 : i32]tensor<[1,1,1,19,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 16 : i32, 1 : i32]tensor<[1,1,1,16,1,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,201,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 7, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 201 : i32]tensor<[1,1,1,201,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,2048,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 2048 : i32]tensor<[1,1,1,2048,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 20 : i32]tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,20,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 20 : i32]tensor<[1,1,1,20,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,21,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 21 : i32]tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,21,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 21 : i32]tensor<[1,1,1,21,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,22,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 22 : i32]tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,22,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 22 : i32]tensor<[1,1,1,22,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,23,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 23 : i32]tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,23,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 23 : i32]tensor<[1,1,1,23,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,24,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 24 : i32]tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,24,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 24 : i32]tensor<[1,1,1,24,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 256 : i32]tensor<[1,1,1,256,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,25,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 25 : i32]tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,25,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 25 : i32]tensor<[1,1,1,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,26,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 26 : i32]tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,26,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 26 : i32]tensor<[1,1,1,26,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,27,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 27 : i32]tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,27,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 27 : i32]tensor<[1,1,1,27,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 28 : i32]tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,28,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 28 : i32]tensor<[1,1,1,28,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,29,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 29 : i32]tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,29,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 29 : i32]tensor<[1,1,1,29,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,32,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 32 : i32]tensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,46,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 46 : i32]tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,47,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 47 : i32]tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,48,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 48 : i32]tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 49 : i32]tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,50,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 50 : i32]tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,51,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 51 : i32]tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,52,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 52 : i32]tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,53,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 53 : i32]tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,54,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 54 : i32]tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,55,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 55 : i32]tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 56 : i32]tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,57,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 57 : i32]tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,58,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 58 : i32]tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,59,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 59 : i32]tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,5,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 5 : i32]tensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,60,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 60 : i32]tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,61,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 61 : i32]tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,62,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 62 : i32]tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,63,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 63 : i32]tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 64 : i32]tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,65,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 65 : i32]tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,66,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 66 : i32]tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,67,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 67 : i32]tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,68,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 68 : i32]tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,69,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 69 : i32]tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 6 : i32]tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,6,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 6 : i32]tensor<[1,1,1,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,1,70,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 70 : i32]tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,71,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 71 : i32]tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,72,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 72 : i32]tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,73,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 73 : i32]tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,74,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 74 : i32]tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,75,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 75 : i32]tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,76,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 76 : i32]tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,77,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 77 : i32]tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,78,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 78 : i32]tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,79,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 79 : i32]tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 7 : i32]tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,7,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 7 : i32]tensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 80 : i32]tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,81,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 81 : i32]tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,82,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 82 : i32]tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,83,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 83 : i32]tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,84,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 84 : i32]tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,85,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 85 : i32]tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,86,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 86 : i32]tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,87,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 87 : i32]tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,88,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 88 : i32]tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,89,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 89 : i32]tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 8 : i32]tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,8,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 8 : i32]tensor<[1,1,1,8,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,90,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 90 : i32]tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,91,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 91 : i32]tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,92,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 92 : i32]tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,93,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 93 : i32]tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,94,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 94 : i32]tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,95,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 95 : i32]tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 96 : i32]tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,97,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 97 : i32]tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,98,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 98 : i32]tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,99,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 99 : i32]tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 9 : i32]tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,9,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 9 : i32]tensor<[1,1,1,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,201,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 201 : i32]tensor<[1,1,201,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 7, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,2048,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 2048 : i32]tensor<[1,1,2048,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,20,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 20 : i32]tensor<[1,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 20 : i32]tensor<[1,1,20,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 21 : i32]tensor<[1,1,21,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 21 : i32]tensor<[1,1,21,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,224,224,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 224 + d1, d2), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 224 : i32, 224 : i32]tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,22,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 22 : i32]tensor<[1,1,22,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 22 : i32]tensor<[1,1,22,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,23,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 23 : i32]tensor<[1,1,23,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 23 : i32]tensor<[1,1,23,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,24,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 24 : i32]tensor<[1,1,24,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 24 : i32]tensor<[1,1,24,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 257 : i32, 768 : i32, 1 : i32]tensor<[1,257,768,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 197376 + d1 * 768 + d2, d3), memory_config: (6168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,25,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 25 : i32]tensor<[1,1,25,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 25 : i32]tensor<[1,1,25,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,26,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 26 : i32]tensor<[1,1,26,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 26 : i32]tensor<[1,1,26,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,27,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 27 : i32]tensor<[1,1,27,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 27 : i32]tensor<[1,1,27,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,27,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 27 : i32, 257 : i32, 1 : i32]tensor<[1,27,257,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6939 + d1 * 257 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 28 : i32]tensor<[1,1,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 28 : i32]tensor<[1,1,28,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,29,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 29 : i32]tensor<[1,1,29,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 29 : i32]tensor<[1,1,29,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 12 : i32, 128 : i32]tensor<[1,2,1,12,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 24 + d1 * 12 + d2 * 12 + d3, d4), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 * 13 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 13 : i32, 128 : i32]tensor<[1,2,1,13,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 26 + d1 * 13 + d2 * 13 + d3, d4), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 14 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 14 : i32, 128 : i32]tensor<[1,2,1,14,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 28 + d1 * 14 + d2 * 14 + d3, d4), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,15,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 15 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 15 : i32, 128 : i32]tensor<[1,2,1,15,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 30 + d1 * 15 + d2 * 15 + d3, d4), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 16 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 16 : i32, 128 : i32]tensor<[1,2,1,16,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 32 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,17,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 34 + d1 * 17 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 17 : i32, 128 : i32]tensor<[1,2,1,17,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 34 + d1 * 17 + d2 * 17 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,18,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 18 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 18 : i32, 128 : i32]tensor<[1,2,1,18,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 36 + d1 * 18 + d2 * 18 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,19,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38 + d1 * 19 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 19 : i32, 128 : i32]tensor<[1,2,1,19,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 38 + d1 * 19 + d2 * 19 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,20,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 20 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 20 : i32, 128 : i32]tensor<[1,2,1,20,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 40 + d1 * 20 + d2 * 20 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,21,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 21 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 21 : i32, 128 : i32]tensor<[1,2,1,21,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 42 + d1 * 21 + d2 * 21 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,22,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 44 + d1 * 22 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 22 : i32, 128 : i32]tensor<[1,2,1,22,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 44 + d1 * 22 + d2 * 22 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,23,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46 + d1 * 23 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 23 : i32, 128 : i32]tensor<[1,2,1,23,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 46 + d1 * 23 + d2 * 23 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,24,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 24 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 24 : i32, 128 : i32]tensor<[1,2,1,24,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 48 + d1 * 24 + d2 * 24 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,25,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50 + d1 * 25 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 25 : i32, 128 : i32]tensor<[1,2,1,25,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 50 + d1 * 25 + d2 * 25 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,26,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 26 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 26 : i32, 128 : i32]tensor<[1,2,1,26,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 52 + d1 * 26 + d2 * 26 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,27,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 27 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 27 : i32, 128 : i32]tensor<[1,2,1,27,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 54 + d1 * 27 + d2 * 27 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 28 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 28 : i32, 128 : i32]tensor<[1,2,1,28,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 56 + d1 * 28 + d2 * 28 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,29,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 58 + d1 * 29 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 1 : i32, 29 : i32, 128 : i32]tensor<[1,2,1,29,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 58 + d1 * 29 + d2 * 29 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32]tensor<[1,3072,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 10 : i32, 1 : i32]tensor<[1,3072,10,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 11 : i32, 1 : i32]tensor<[1,3072,11,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 12 : i32, 1 : i32]tensor<[1,3072,12,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 13 : i32, 1 : i32]tensor<[1,3072,13,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 14 : i32, 1 : i32]tensor<[1,3072,14,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 15 : i32, 1 : i32]tensor<[1,3072,15,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 6 : i32, 1 : i32]tensor<[1,3072,6,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 7 : i32, 1 : i32]tensor<[1,3072,7,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 8 : i32, 1 : i32]tensor<[1,3072,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 9 : i32, 1 : i32]tensor<[1,3072,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,30,40,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 30 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 30 : i32, 40 : i32]tensor<[1,1,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 32 : i32]tensor<[1,1,32,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,32,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 32 : i32, 128 : i32]tensor<[1,1,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 32 : i32, 32 : i32]tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,384,512,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 384 + d1, d2), memory_config: (12, 16, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 384 : i32, 512 : i32]tensor<[1,1,384,512,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 384 + d2, d3), memory_config: (12, 16, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,45,45,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 45 : i32, 45 : i32]tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,46,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 46 : i32]tensor<[1,1,46,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,47,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 47 : i32]tensor<[1,1,47,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,48,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 48 : i32]tensor<[1,1,48,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 49 : i32]tensor<[1,1,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4 : i32, 1 : i32, 13 : i32, 128 : i32]tensor<[1,4,1,13,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 52 + d1 * 13 + d2 * 13 + d3, d4), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,50,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 50 : i32]tensor<[1,1,50,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,51,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 51 : i32]tensor<[1,1,51,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,52,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 52 : i32]tensor<[1,1,52,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,53,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 53 : i32]tensor<[1,1,53,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,54,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 54 : i32]tensor<[1,1,54,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,55,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 55 : i32]tensor<[1,1,55,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 56 : i32]tensor<[1,1,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,57,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 57 : i32]tensor<[1,1,57,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,58,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 58 : i32]tensor<[1,1,58,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,59,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 59 : i32]tensor<[1,1,59,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 5 : i32]tensor<[1,1,5,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 5 : i32, 1 : i32, 16 : i32]tensor<[1,5,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,5,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 5 : i32, 1 : i32, 16 : i32, 1 : i32]tensor<[1,5,1,16,1,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 80 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,5,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 5 : i32, 5 : i32]tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,60,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 60 : i32]tensor<[1,1,60,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,60,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 60 : i32, 80 : i32]tensor<[1,1,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,61,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 61 : i32]tensor<[1,1,61,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,62,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 62 : i32]tensor<[1,1,62,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,63,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 63 : i32]tensor<[1,1,63,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 64 : i32]tensor<[1,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32]tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,65,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 65 : i32]tensor<[1,1,65,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,66,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 66 : i32]tensor<[1,1,66,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,67,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 67 : i32]tensor<[1,1,67,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,68,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 68 : i32]tensor<[1,1,68,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,69,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 69 : i32]tensor<[1,1,69,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 6 : i32]tensor<[1,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 6 : i32]tensor<[1,1,6,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 6 : i32, 16 : i32]tensor<[1,1,6,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 6 : i32, 6 : i32]tensor<[1,1,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,70,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 70 : i32]tensor<[1,1,70,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,71,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 71 : i32]tensor<[1,1,71,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,72,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 72 : i32]tensor<[1,1,72,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,73,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 73 : i32]tensor<[1,1,73,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,74,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 74 : i32]tensor<[1,1,74,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,75,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 75 : i32]tensor<[1,1,75,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 257 : i32, 1 : i32]tensor<[1,768,257,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 197376 + d1 * 257 + d2, d3), memory_config: (6168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,76,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 76 : i32]tensor<[1,1,76,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,77,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 77 : i32]tensor<[1,1,77,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,78,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 78 : i32]tensor<[1,1,78,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,79,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 79 : i32]tensor<[1,1,79,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 7 : i32]tensor<[1,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 7 : i32]tensor<[1,1,7,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 7 : i32, 16 : i32]tensor<[1,1,7,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,80,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 80 : i32]tensor<[1,1,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,81,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 81 : i32]tensor<[1,1,81,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,82,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 82 : i32]tensor<[1,1,82,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,83,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 83 : i32]tensor<[1,1,83,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,84,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 84 : i32]tensor<[1,1,84,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,85,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 85 : i32]tensor<[1,1,85,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,86,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 86 : i32]tensor<[1,1,86,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,87,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 87 : i32]tensor<[1,1,87,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,88,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 88 : i32]tensor<[1,1,88,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,89,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 89 : i32]tensor<[1,1,89,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 8 : i32]tensor<[1,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 8 : i32]tensor<[1,1,8,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 8 : i32, 16 : i32]tensor<[1,1,8,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32, 32 : i32, 128 : i32]tensor<[1,8,1,32,128,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 256 + d1 * 32 + d2 * 32 + d3, d4), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,90,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 90 : i32]tensor<[1,1,90,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,91,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 91 : i32]tensor<[1,1,91,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 92 : i32]tensor<[1,1,92,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,93,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 93 : i32]tensor<[1,1,93,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,94,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 94 : i32]tensor<[1,1,94,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,95,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 95 : i32]tensor<[1,1,95,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 96 : i32]tensor<[1,1,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,97,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 97 : i32]tensor<[1,1,97,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,98,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 98 : i32]tensor<[1,1,98,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,99,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 99 : i32]tensor<[1,1,99,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32]tensor<[1,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32]tensor<[1,1,9,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 9 : i32, 16 : i32]tensor<[1,1,9,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [2 : i32, 1 : i32, 13 : i32]tensor<[2,1,13,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[2,1,13,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [2 : i32, 1 : i32, 1 : i32, 13 : i32]tensor<[2,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[2,1,7,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [2 : i32, 1 : i32, 1 : i32, 7 : i32]tensor<[2,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[2,4,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 2 : i32, 4 : i32, 1 : i32]tensor<[1,2,4,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 4 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[2,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [2 : i32, 1 : i32, 7 : i32]tensor<[2,1,7,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[3072,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3072,16,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3072 : i32, 16 : i32]tensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')shape: [3234 : i32, 1 : i32]tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 32 : i32]tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[32,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32]tensor<[1,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 320 : i32, 320 : i32]tensor<[1,3,320,320,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 320 + d2, d3), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[45,45,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 45 : i32, 45 : i32]tensor<[1,45,45,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [4 : i32, 1 : i32, 13 : i32]tensor<[4,1,13,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[4,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [4 : i32, 13 : i32, 1 : i32]tensor<[4,13,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[4,1,13,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [4 : i32, 1 : i32, 1 : i32, 13 : i32]tensor<[4,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[4,1,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4 : i32, 1 : i32, 49 : i32, 49 : i32]tensor<[1,4,1,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 196 + d1 * 49 + d2 * 49 + d3, d4), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 1 : i32, 49 : i32]tensor<[4,1,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 49 : i32, 1 : i32]tensor<[4,49,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 1 : i32, 49 : i32, 49 : i32]tensor<[4,1,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 5 : i32]tensor<[1,5,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32]tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32, 49 : i32, 49 : i32]tensor<[1,64,1,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 49 + d2 * 49 + d3, d4), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 49 : i32]tensor<[64,1,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 49 : i32, 1 : i32]tensor<[64,49,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1 : i32, 49 : i32, 49 : i32]tensor<[64,1,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 6 : i32]tensor<[1,6,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 1 : i32]tensor<[8,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32]tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32]tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32]tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32]tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1 : i32]tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 10 : i32, 1 : i32]tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 38, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1200 : i32, 1 : i32]tensor<[1,1200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32]tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32]tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1370,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 43, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1370 : i32, 1 : i32]tensor<[1,1370,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1445,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 46, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1445 : i32, 1 : i32]tensor<[1,1445,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,14,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 14 : i32, 1 : i32]tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1 : i32]tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 14 : i32, 14 : i32, 1 : i32]tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,14,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 14 : i32, 1 : i32]tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1500,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 47, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1500 : i32, 1 : i32]tensor<[1,1500,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 1 : i32]tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 1 : i32]tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 1 : i32]tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 1 : i32]tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32]tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,19200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 600, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 19200 : i32, 1 : i32]tensor<[1,19200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 196 : i32, 1 : i32]tensor<[1,196,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,197,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 197 : i32, 1 : i32]tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,197,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 197 : i32, 1 : i32]tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,201,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 201 : i32, 1 : i32]tensor<[1,201,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2048 : i32, 1 : i32]tensor<[1,2048,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32]tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32]tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32]tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32]tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32]tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32]tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32]tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32]tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32]tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 257 : i32, 1 : i32]tensor<[1,257,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,25,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 25 : i32, 1 : i32]tensor<[1,25,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,27,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 27 : i32, 1 : i32]tensor<[1,27,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 1 : i32]tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 28 : i32, 28 : i32, 1 : i32]tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,300,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 300 : i32, 1 : i32]tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,300,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 300 : i32, 1 : i32]tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,300,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 300 : i32, 1 : i32]tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,300,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 300 : i32, 1 : i32]tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32]tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 1 : i32, 1 : i32]tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 1 : i32]tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 1 : i32]tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 1 : i32]tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 1 : i32]tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 1 : i32]tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,45,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 45 : i32, 1 : i32]tensor<[1,45,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4800,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 150, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4800 : i32, 1 : i32]tensor<[1,4800,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 50 : i32, 1 : i32]tensor<[1,50,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 56 : i32, 56 : i32, 1 : i32]tensor<[1,56,56,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,5,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 5 : i32, 1 : i32]tensor<[1,5,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 1 : i32]tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,65536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2048, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 65536 : i32, 1 : i32]tensor<[1,65536,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 1 : i32]tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,7,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 7 : i32, 1 : i32]tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,7,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 7 : i32, 1 : i32]tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1 : i32]tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1 : i32]tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1 : i32]tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 9 : i32, 1 : i32]tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 9 : i32, 1 : i32]tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 9 : i32, 1 : i32]tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 9 : i32, 1 : i32]tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 9 : i32, 1 : i32]tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,7,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 7 : i32, 1 : i32]tensor<[2,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 1 : i32, 1 : i32]tensor<[4,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[920,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')shape: [920 : i32, 1 : i32, 1 : i32]tensor<[920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[100,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 64, 'tile<32x32, bf16>', 'dram')shape: [100 : i32, 2048 : i32]tensor<[100,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[100,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')shape: [100 : i32, 256 : i32]tensor<[100,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[100,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')shape: [100 : i32, 8 : i32, 32 : i32]tensor<[100,8,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[100,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, bf16>', 'dram')shape: [100 : i32, 1 : i32, 2048 : i32]tensor<[100,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[100,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')shape: [100 : i32, 1 : i32, 256 : i32]tensor<[100,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[100,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 100 : i32, 4 : i32]tensor<[1,100,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[100,8,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')shape: [100 : i32, 256 : i32]tensor<[100,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[100,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 100 : i32, 92 : i32]tensor<[1,100,92,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1536 : i32]tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 160 : i32]tensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 3072 : i32]tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,5120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 5120 : i32]tensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 6144 : i32]tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1024,640,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 640 : i32]tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 768 : i32]tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[10,250002,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 250002 : i32]tensor<[1,10,250002,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 7813, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[10,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 3072 : i32]tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[10,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 768 : i32]tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1200,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1200 : i32, 1280 : i32]tensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1200,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1200 : i32, 320 : i32]tensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[120,14,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 120 : i32, 14 : i32, 28 : i32]tensor<[1,120,14,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[120,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 120 : i32, 28 : i32, 28 : i32]tensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[121,12,12,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 144 : i32, 192 : i32]tensor<[121,144,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,12,12,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 11 : i32, 11 : i32, 12 : i32, 12 : i32, 192 : i32]tensor<[1,11,11,12,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,12,12,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 144 : i32, 384 : i32]tensor<[121,144,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,12,12,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 11 : i32, 11 : i32, 12 : i32, 12 : i32, 384 : i32]tensor<[1,11,11,12,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 121 : i32, 12 : i32, 144 : i32, 144 : i32]tensor<[1,121,12,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')shape: [1452 : i32, 144 : i32, 144 : i32]tensor<[1452,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,144,1152,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 144 : i32, 3 : i32, 12 : i32, 32 : i32]tensor<[121,144,3,12,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 5184 + d1 * 36 + d2 * 12 + d3, d4), memory_config: (19602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,144,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 12 : i32, 12 : i32, 192 : i32]tensor<[121,12,12,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,144,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')shape: [17424 : i32, 192 : i32]tensor<[17424,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,144,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 12 : i32, 12 : i32, 384 : i32]tensor<[121,12,12,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,144,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')shape: [17424 : i32, 384 : i32]tensor<[17424,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,144,576,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 144 : i32, 3 : i32, 6 : i32, 32 : i32]tensor<[121,144,3,6,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2592 + d1 * 18 + d2 * 6 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 121 : i32, 6 : i32, 144 : i32, 144 : i32]tensor<[1,121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')shape: [726 : i32, 144 : i32, 144 : i32]tensor<[726,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1280,16,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 16 : i32, 16 : i32]tensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,16,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 16 : i32, 32 : i32]tensor<[1,1280,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 32 : i32, 32 : i32]tensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1280,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 8 : i32, 16 : i32]tensor<[1,1280,8,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,32,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 32 : i32, 64 : i32]tensor<[1,128,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[128,64,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 64 : i32, 64 : i32]tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1296,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 144 : i32, 1536 : i32]tensor<[9,144,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1296,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 144 : i32, 2304 : i32]tensor<[9,144,2304,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1296,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 144 : i32, 4608 : i32]tensor<[9,144,4608,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1296,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 144 : i32, 768 : i32]tensor<[9,144,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [12 : i32, 1 : i32]tensor<[12,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[12,10,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 10 : i32, 10 : i32]tensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,10,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 10 : i32, 64 : i32]tensor<[1,12,10,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 128 : i32]tensor<[1,12,12,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,12,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 12 : i32]tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,12,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 64 : i32]tensor<[1,12,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,14,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 14 : i32, 14 : i32]tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,14,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 14 : i32, 64 : i32]tensor<[1,12,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1500,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1500 : i32, 1500 : i32]tensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1500,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1500 : i32, 64 : i32]tensor<[1,12,1500,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1536 : i32]tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,16,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 16 : i32, 16 : i32]tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,16,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 16 : i32, 64 : i32]tensor<[1,12,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,197,197,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 197 : i32, 197 : i32]tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,197,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 197 : i32, 64 : i32]tensor<[1,12,197,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 128 : i32]tensor<[1,12,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 13 : i32]tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 14 : i32]tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,15,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 15 : i32]tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 16 : i32]tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,17,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 17 : i32]tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,18,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 18 : i32]tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,19,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 19 : i32]tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,20,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 20 : i32]tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 21 : i32]tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 22 : i32]tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 23 : i32]tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 24 : i32]tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 25 : i32]tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,26,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 26 : i32]tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,27,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 27 : i32]tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 28 : i32]tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,1,29,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 1 : i32, 29 : i32]tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 256 : i32]tensor<[1,12,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,25,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 25 : i32, 25 : i32]tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,25,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 25 : i32, 64 : i32]tensor<[1,12,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 2 : i32]tensor<[1,12,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 3072 : i32]tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,50,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 50 : i32, 50 : i32]tensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,50,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 50 : i32, 64 : i32]tensor<[1,12,50,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 768 : i32]tensor<[1,12,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[12,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 7 : i32, 64 : i32]tensor<[1,12,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 7 : i32, 7 : i32]tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,9,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 9 : i32, 64 : i32]tensor<[1,12,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[12,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 9 : i32, 9 : i32]tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1370,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1370 : i32, 1280 : i32]tensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1370,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 1 : i32, 1280 : i32]tensor<[1370,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1370,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 1280 : i32]tensor<[1370,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1370,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 16 : i32, 80 : i32]tensor<[1370,16,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1370,1,16,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 1280 : i32]tensor<[1370,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1370,1,3840,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 120, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 1 : i32, 3 : i32, 1280 : i32]tensor<[1370,1,3,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3 + d1 * 3 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1370,3840,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 1 : i32, 3840 : i32]tensor<[1370,1,3840,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 120, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1370,5120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1370 : i32, 5120 : i32]tensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [13 : i32, 1 : i32]tensor<[13,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[13,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 2 : i32]tensor<[1,13,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[13,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 3584 : i32]tensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[13,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 512 : i32]tensor<[1,13,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1445,192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1445 : i32, 192 : i32]tensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1445,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1445 : i32, 768 : i32]tensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 7 : i32, 2 : i32, 7 : i32]tensor<[2,7,2,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 2 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[14,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 7 : i32, 2048 : i32]tensor<[2,7,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[14,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 2 : i32]tensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[14,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 3072 : i32]tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[14,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 7 : i32, 512 : i32]tensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[14,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 768 : i32]tensor<[1,14,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1500,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1500 : i32, 3072 : i32]tensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1500,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1500 : i32, 768 : i32]tensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1536,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 16 : i32, 32 : i32]tensor<[1,1536,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 16 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 32 : i32, 32 : i32]tensor<[1,1536,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 32 + d2, d3), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1536,64,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1536 : i32, 64 : i32, 32 : i32]tensor<[1,1536,64,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 64 + d2, d3), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16384,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16384 : i32, 128 : i32]tensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16384,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 1536 : i32]tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16384,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 192 : i32]tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16384,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16384 : i32, 32 : i32]tensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 384 : i32]tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16384,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 768 : i32]tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1370,1370,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1370 : i32, 1370 : i32]tensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1370,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 1370 : i32, 80 : i32]tensor<[1,16,1370,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,1,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 10 : i32]tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,11,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 11 : i32]tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 12 : i32]tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 13 : i32]tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 14 : i32]tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,15,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 15 : i32]tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 16 : i32]tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,17,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 17 : i32]tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,18,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 18 : i32]tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,19,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 19 : i32]tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,20,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 20 : i32]tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 21 : i32]tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 22 : i32]tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 23 : i32]tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 24 : i32]tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 25 : i32]tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,26,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 26 : i32]tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,27,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 27 : i32]tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 28 : i32]tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,29,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 29 : i32]tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 64 : i32]tensor<[1,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 7 : i32]tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 8 : i32]tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,1,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 1 : i32, 9 : i32]tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 256 : i32, 256 : i32]tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 256 : i32, 64 : i32]tensor<[1,16,256,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 3072 : i32]tensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 32 : i32, 32 : i32]tensor<[1,16,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,32,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 32 : i32, 96 : i32]tensor<[1,16,32,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,49,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4 : i32, 4 : i32, 7 : i32, 7 : i32, 256 : i32]tensor<[1,4,4,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 784 + d1 * 196 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,49,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [784 : i32, 256 : i32]tensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,49,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 24, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 49 : i32, 3 : i32, 8 : i32, 32 : i32]tensor<[16,49,3,8,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1176 + d1 * 24 + d2 * 8 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,6,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 6 : i32, 64 : i32]tensor<[1,16,6,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,6,6,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 6 : i32, 6 : i32]tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 768 : i32]tensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 8 : i32, 7 : i32, 64 : i32]tensor<[2,8,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 8 : i32, 7 : i32, 7 : i32]tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 8 : i32, 49 : i32, 49 : i32]tensor<[1,16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 49 : i32, 49 : i32]tensor<[128,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[16,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 9 : i32, 128 : i32]tensor<[1,16,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,9,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 9 : i32, 64 : i32]tensor<[1,16,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[16,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 9 : i32, 9 : i32]tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[17424,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 144 : i32, 1152 : i32]tensor<[121,144,1152,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[17424,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 144 : i32, 192 : i32]tensor<[121,144,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[17424,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 144 : i32, 384 : i32]tensor<[121,144,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[17424,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 144 : i32, 576 : i32]tensor<[121,144,576,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (545, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[184,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 184 : i32, 14 : i32, 14 : i32]tensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[184,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 184 : i32, 7 : i32, 14 : i32]tensor<[1,184,7,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[18,14,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 18 : i32, 14 : i32, 56 : i32]tensor<[1,18,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[18,28,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 18 : i32, 28 : i32, 56 : i32]tensor<[1,18,28,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[18,56,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 18 : i32, 56 : i32, 56 : i32]tensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[18,7,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 18 : i32, 7 : i32, 56 : i32]tensor<[1,18,7,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[19200,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 19200 : i32, 256 : i32]tensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[19200,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 19200 : i32, 64 : i32]tensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[192,128,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (768, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 128 : i32, 256 : i32]tensor<[1,192,128,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[192,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 256 : i32, 256 : i32]tensor<[1,192,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[196,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 49 : i32, 1536 : i32]tensor<[4,49,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[196,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 196 : i32, 3072 : i32]tensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 49 : i32, 512 : i32]tensor<[4,49,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[196,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 196 : i32, 768 : i32]tensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[197,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 197 : i32, 1024 : i32]tensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[197,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 197 : i32, 3072 : i32]tensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[197,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 197 : i32, 4096 : i32]tensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[197,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 197 : i32, 768 : i32]tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1000,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1000 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1000 : i32]tensor<[1,1000,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,100,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')shape: [100 : i32, 192 : i32]tensor<[100,192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 196 : i32]tensor<[1,1024,196,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 1536 : i32]tensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')shape: [1024 : i32, 1536 : i32]tensor<[1024,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 5 : i32, 32 : i32]tensor<[1,1024,5,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 5 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 160 : i32]tensor<[1,32,32,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 160 : i32]tensor<[1024,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 256 : i32]tensor<[1,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 80, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 2560 : i32]tensor<[1024,2560,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 16 : i32, 16 : i32]tensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')shape: [1024 : i32, 3072 : i32]tensor<[1024,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,5,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 5 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 160 : i32]tensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')shape: [1024 : i32, 6144 : i32]tensor<[1024,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 8 : i32, 80 : i32]tensor<[1,1024,8,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 8 + d2, d3), memory_config: (256, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 640 : i32]tensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')shape: [1024 : i32, 640 : i32]tensor<[1024,640,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 768 : i32]tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')shape: [1024 : i32, 768 : i32]tensor<[1024,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1024,8,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 8 + d2, d3), memory_config: (256, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 640 : i32]tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 16 : i32, 64 : i32]tensor<[1,10,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 16 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [10 : i32, 1024 : i32]tensor<[10,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 768 : i32]tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 768 : i32]tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [10 : i32, 1536 : i32]tensor<[10,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 16 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 1024 : i32]tensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [10 : i32, 2048 : i32]tensor<[10,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [10 : i32, 3072 : i32]tensor<[10,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,10,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [10 : i32, 4096 : i32]tensor<[10,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 8 : i32, 64 : i32]tensor<[1,10,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [10 : i32, 512 : i32]tensor<[10,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 12 : i32, 64 : i32]tensor<[1,10,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 12 : i32, 64 : i32]tensor<[1,10,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [10 : i32, 768 : i32]tensor<[10,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 10 : i32, 512 : i32]tensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,10,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [10 : i32, 96 : i32]tensor<[10,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,11,11,12,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 12 : i32, 12 : i32, 192 : i32]tensor<[121,12,12,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,11,11,12,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 12 : i32, 12 : i32, 384 : i32]tensor<[121,12,12,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,11,12,11,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 132 + d3 * 12 + d4, d5), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 132 : i32, 132 : i32, 192 : i32]tensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,11,12,11,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 132 + d3 * 12 + d4, d5), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 132 : i32, 132 : i32, 384 : i32]tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,11,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [11 : i32, 1536 : i32]tensor<[11,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,11,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [11 : i32, 96 : i32]tensor<[11,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')shape: [1200 : i32, 1280 : i32]tensor<[1200,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1200 : i32, 5 : i32, 64 : i32]tensor<[1,1200,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 5 + d2, d3), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 30 : i32, 40 : i32, 320 : i32]tensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')shape: [1200 : i32, 320 : i32]tensor<[1200,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1200,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 5 + d2, d3), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1200 : i32, 320 : i32]tensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')shape: [120 : i32, 14 : i32, 14 : i32]tensor<[120,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,120,28,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')shape: [120 : i32, 28 : i32, 14 : i32]tensor<[120,28,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,121,12,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 12 : i32, 144 : i32, 144 : i32]tensor<[121,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (6534, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')shape: [121 : i32, 6 : i32, 144 : i32, 144 : i32]tensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1280,1200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1280 + d1, d2), memory_config: (40, 38, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 30 : i32, 40 : i32]tensor<[1,1280,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38400 + d1 * 30 + d2, d3), memory_config: (1200, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 40 : i32, 256 : i32]tensor<[1,32,40,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 16 : i32, 16 : i32]tensor<[1280,16,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,16,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 16 : i32, 8 : i32]tensor<[1280,16,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32]tensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38400 + d1 * 30 + d2, d3), memory_config: (1200, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1200 : i32]tensor<[1,1280,1200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1280 + d1, d2), memory_config: (40, 38, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,32,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 32 : i32, 16 : i32]tensor<[1280,32,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 40 : i32, 1024 : i32]tensor<[1,32,40,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,37,37,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 47360 + d1 * 37 + d2, d3), memory_config: (1480, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1280 : i32, 1369 : i32]tensor<[1,1280,1369,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1280 + d1, d2), memory_config: (40, 43, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 40 : i32, 64 : i32]tensor<[1,32,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')shape: [1280 : i32, 8 : i32, 8 : i32]tensor<[1280,8,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 16384 : i32]tensor<[1,128,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (4, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 192 : i32]tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 384 : i32]tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,128,128,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16384 : i32, 768 : i32]tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,128,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 15 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 300 : i32]tensor<[1,128,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (4, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (4, 512, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 128 : i32]tensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 32 : i32, 32 : i32]tensor<[128,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,4800,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (4, 150, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 60 : i32, 80 : i32]tensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 60 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 4800 : i32]tensor<[1,128,4800,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (4, 150, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,128,64,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')shape: [128 : i32, 64 : i32, 32 : i32]tensor<[128,64,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 10 : i32, 10 : i32]tensor<[12,10,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,10,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 10 : i32, 64 : i32]tensor<[12,10,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 132 + d1 * 11 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 11 : i32, 64 : i32]tensor<[12,11,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 128 : i32]tensor<[12,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 12 : i32]tensor<[12,128,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 13 : i32]tensor<[12,128,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 14 : i32]tensor<[12,128,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 15 : i32]tensor<[12,128,15,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 16 : i32]tensor<[12,128,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 17 : i32]tensor<[12,128,17,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 18 : i32]tensor<[12,128,18,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 19 : i32]tensor<[12,128,19,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 20 : i32]tensor<[12,128,20,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 21 : i32]tensor<[12,128,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 22 : i32]tensor<[12,128,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 23 : i32]tensor<[12,128,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 24 : i32]tensor<[12,128,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 25 : i32]tensor<[12,128,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 26 : i32]tensor<[12,128,26,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 27 : i32]tensor<[12,128,27,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 28 : i32]tensor<[12,128,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,128,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 128 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 128 : i32, 29 : i32]tensor<[12,128,29,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 1536 : i32]tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,12,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 12 : i32, 128 : i32]tensor<[12,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 12 : i32, 12 : i32]tensor<[12,12,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 768 : i32]tensor<[1,12,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 12 : i32, 64 : i32]tensor<[12,12,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 13 : i32, 128 : i32]tensor<[12,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 13 : i32, 64 : i32]tensor<[12,13,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,14,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 14 : i32, 128 : i32]tensor<[12,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 14 : i32, 14 : i32]tensor<[12,14,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 14 : i32, 64 : i32]tensor<[12,14,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1500 : i32, 1500 : i32]tensor<[12,1500,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1500,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1500 : i32, 64 : i32]tensor<[12,1500,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 128 : i32]tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1536 : i32]tensor<[12,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,15,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 15 : i32, 128 : i32]tensor<[12,15,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 15 : i32, 64 : i32]tensor<[12,15,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 12 : i32, 16 : i32]tensor<[1,1,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,16,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 16 : i32, 128 : i32]tensor<[12,16,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 16 : i32, 16 : i32]tensor<[12,16,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 16 : i32, 64 : i32]tensor<[12,16,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,17,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 17 : i32, 128 : i32]tensor<[12,17,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 17 + d1, d2), memory_config: (7, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 17 : i32, 64 : i32]tensor<[12,17,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 17 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,18,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 18 : i32, 128 : i32]tensor<[12,18,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 18 + d1, d2), memory_config: (7, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 18 : i32, 64 : i32]tensor<[12,18,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 18 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 197 : i32, 197 : i32]tensor<[12,197,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 197 : i32, 64 : i32]tensor<[12,197,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,19,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 19 : i32, 128 : i32]tensor<[12,19,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19 + d1, d2), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 19 : i32, 64 : i32]tensor<[12,19,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 10 : i32]tensor<[12,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 11 : i32]tensor<[12,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 128 : i32]tensor<[12,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 12 : i32]tensor<[12,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 13 : i32]tensor<[12,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 14 : i32]tensor<[12,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 15 : i32]tensor<[12,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 16 : i32]tensor<[12,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 17 : i32]tensor<[12,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 18 : i32]tensor<[12,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 19 : i32]tensor<[12,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 1 : i32]tensor<[12,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 20 : i32]tensor<[12,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 21 : i32]tensor<[12,1,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 22 : i32]tensor<[12,1,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 23 : i32]tensor<[12,1,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 24 : i32]tensor<[12,1,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 25 : i32]tensor<[12,1,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 26 : i32]tensor<[12,1,26,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 27 : i32]tensor<[12,1,27,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 28 : i32]tensor<[12,1,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 29 : i32]tensor<[12,1,29,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 2 : i32]tensor<[12,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 3 : i32]tensor<[12,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 46 : i32]tensor<[12,1,46,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 47 : i32]tensor<[12,1,47,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 48 : i32]tensor<[12,1,48,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 49 : i32]tensor<[12,1,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 4 : i32]tensor<[12,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 50 : i32]tensor<[12,1,50,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 51 : i32]tensor<[12,1,51,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 52 : i32]tensor<[12,1,52,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 53 : i32]tensor<[12,1,53,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 54 : i32]tensor<[12,1,54,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 55 : i32]tensor<[12,1,55,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 56 : i32]tensor<[12,1,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 57 : i32]tensor<[12,1,57,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 58 : i32]tensor<[12,1,58,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 59 : i32]tensor<[12,1,59,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 5 : i32]tensor<[12,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 60 : i32]tensor<[12,1,60,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 61 : i32]tensor<[12,1,61,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 62 : i32]tensor<[12,1,62,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 63 : i32]tensor<[12,1,63,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 1 : i32, 64 : i32]tensor<[12,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 65 : i32]tensor<[12,1,65,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 66 : i32]tensor<[12,1,66,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 67 : i32]tensor<[12,1,67,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 68 : i32]tensor<[12,1,68,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 69 : i32]tensor<[12,1,69,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 6 : i32]tensor<[12,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 70 : i32]tensor<[12,1,70,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 71 : i32]tensor<[12,1,71,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 72 : i32]tensor<[12,1,72,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 73 : i32]tensor<[12,1,73,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 74 : i32]tensor<[12,1,74,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 75 : i32]tensor<[12,1,75,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 76 : i32]tensor<[12,1,76,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 77 : i32]tensor<[12,1,77,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 78 : i32]tensor<[12,1,78,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 79 : i32]tensor<[12,1,79,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 7 : i32]tensor<[12,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 80 : i32]tensor<[12,1,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 81 : i32]tensor<[12,1,81,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 82 : i32]tensor<[12,1,82,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 83 : i32]tensor<[12,1,83,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 84 : i32]tensor<[12,1,84,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 85 : i32]tensor<[12,1,85,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 86 : i32]tensor<[12,1,86,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 87 : i32]tensor<[12,1,87,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 88 : i32]tensor<[12,1,88,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 89 : i32]tensor<[12,1,89,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 8 : i32]tensor<[12,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 90 : i32]tensor<[12,1,90,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 91 : i32]tensor<[12,1,91,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 92 : i32]tensor<[12,1,92,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 93 : i32]tensor<[12,1,93,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 94 : i32]tensor<[12,1,94,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 95 : i32]tensor<[12,1,95,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 96 : i32]tensor<[12,1,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 97 : i32]tensor<[12,1,97,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 98 : i32]tensor<[12,1,98,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 99 : i32]tensor<[12,1,99,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 1 : i32, 9 : i32]tensor<[12,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,201,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 201 : i32, 201 : i32]tensor<[12,201,201,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,201,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 201 : i32, 64 : i32]tensor<[12,201,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,20,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 20 + d2, d3), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 20 : i32, 128 : i32]tensor<[12,20,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 20 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 20 : i32, 64 : i32]tensor<[12,20,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,21,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 21 + d2, d3), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 21 : i32, 128 : i32]tensor<[12,21,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 21 + d1, d2), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,22,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 264 + d1 * 22 + d2, d3), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 22 : i32, 128 : i32]tensor<[12,22,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 22 + d1, d2), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,23,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 276 + d1 * 23 + d2, d3), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 23 : i32, 128 : i32]tensor<[12,23,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 23 + d1, d2), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,24,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 24 + d2, d3), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 24 : i32, 128 : i32]tensor<[12,24,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 2 : i32, 128 : i32]tensor<[1,12,2,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 2 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,257,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 257 : i32, 257 : i32]tensor<[12,257,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 257 : i32, 64 : i32]tensor<[12,257,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,25,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 25 : i32, 128 : i32]tensor<[12,25,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 25 : i32, 25 : i32]tensor<[12,25,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 25 : i32, 64 : i32]tensor<[12,25,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,26,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 312 + d1 * 26 + d2, d3), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 26 : i32, 128 : i32]tensor<[12,26,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 26 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,27,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 324 + d1 * 27 + d2, d3), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 27 : i32, 128 : i32]tensor<[12,27,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,28,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 28 + d2, d3), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 28 : i32, 128 : i32]tensor<[12,28,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,29,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 * 29 + d2, d3), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 29 : i32, 128 : i32]tensor<[12,29,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 29 + d1, d2), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 2 : i32, 64 : i32]tensor<[12,2,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 3072 : i32]tensor<[12,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 3 : i32, 64 : i32]tensor<[12,3,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 45 : i32, 45 : i32]tensor<[12,45,45,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,45,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 45 : i32, 64 : i32]tensor<[12,45,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,46,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 552 + d1 * 46 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 46 : i32, 64 : i32]tensor<[12,46,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 46 + d1, d2), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,47,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 564 + d1 * 47 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 47 : i32, 64 : i32]tensor<[12,47,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 47 + d1, d2), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,48,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 48 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 48 : i32, 64 : i32]tensor<[12,48,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 48 + d1, d2), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,49,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 588 + d1 * 49 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 49 : i32, 64 : i32]tensor<[12,49,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 4 : i32, 64 : i32]tensor<[12,4,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 50 : i32, 50 : i32]tensor<[12,50,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,50,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 50 : i32, 64 : i32]tensor<[12,50,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,51,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 612 + d1 * 51 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 51 : i32, 64 : i32]tensor<[12,51,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 51 + d1, d2), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,52,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 624 + d1 * 52 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 52 : i32, 64 : i32]tensor<[12,52,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 52 + d1, d2), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,53,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 636 + d1 * 53 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 53 : i32, 64 : i32]tensor<[12,53,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 53 + d1, d2), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,54,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 648 + d1 * 54 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 54 : i32, 64 : i32]tensor<[12,54,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 54 + d1, d2), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,55,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 660 + d1 * 55 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 55 : i32, 64 : i32]tensor<[12,55,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 55 + d1, d2), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 56 : i32, 64 : i32]tensor<[12,56,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,57,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 684 + d1 * 57 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 57 : i32, 64 : i32]tensor<[12,57,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 57 + d1, d2), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,58,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 58 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 58 : i32, 64 : i32]tensor<[12,58,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 58 + d1, d2), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,59,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 708 + d1 * 59 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 59 : i32, 64 : i32]tensor<[12,59,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 59 + d1, d2), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 5 : i32, 64 : i32]tensor<[12,5,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,60,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 * 60 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 60 : i32, 64 : i32]tensor<[12,60,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,61,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 732 + d1 * 61 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 61 : i32, 64 : i32]tensor<[12,61,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 61 + d1, d2), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,62,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 744 + d1 * 62 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 62 : i32, 64 : i32]tensor<[12,62,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 62 + d1, d2), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,63,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 756 + d1 * 63 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 63 : i32, 64 : i32]tensor<[12,63,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 63 + d1, d2), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 10 : i32]tensor<[12,64,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 11 : i32]tensor<[12,64,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 12 : i32]tensor<[12,64,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 13 : i32]tensor<[12,64,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 14 : i32]tensor<[12,64,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 1500 : i32]tensor<[12,64,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 15 : i32]tensor<[12,64,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 16 : i32]tensor<[12,64,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 17 : i32]tensor<[12,64,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 18 : i32]tensor<[12,64,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 197 : i32]tensor<[12,64,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 19 : i32]tensor<[12,64,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 1 : i32]tensor<[12,64,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 201 : i32]tensor<[12,64,201,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 20 : i32]tensor<[12,64,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 257 : i32]tensor<[12,64,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 25 : i32]tensor<[12,64,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 2 : i32]tensor<[12,64,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 3 : i32]tensor<[12,64,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 45 : i32]tensor<[12,64,45,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 46 : i32]tensor<[12,64,46,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 47 : i32]tensor<[12,64,47,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 48 : i32]tensor<[12,64,48,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 49 : i32]tensor<[12,64,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 4 : i32]tensor<[12,64,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 50 : i32]tensor<[12,64,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 51 : i32]tensor<[12,64,51,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 52 : i32]tensor<[12,64,52,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 53 : i32]tensor<[12,64,53,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 54 : i32]tensor<[12,64,54,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 55 : i32]tensor<[12,64,55,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 56 : i32]tensor<[12,64,56,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 57 : i32]tensor<[12,64,57,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 58 : i32]tensor<[12,64,58,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 59 : i32]tensor<[12,64,59,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 5 : i32]tensor<[12,64,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 60 : i32]tensor<[12,64,60,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 61 : i32]tensor<[12,64,61,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 62 : i32]tensor<[12,64,62,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 63 : i32]tensor<[12,64,63,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 64 : i32]tensor<[12,64,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 65 : i32]tensor<[12,64,65,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 66 : i32]tensor<[12,64,66,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 67 : i32]tensor<[12,64,67,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 68 : i32]tensor<[12,64,68,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 69 : i32]tensor<[12,64,69,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 6 : i32]tensor<[12,64,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 70 : i32]tensor<[12,64,70,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 71 : i32]tensor<[12,64,71,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 72 : i32]tensor<[12,64,72,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 73 : i32]tensor<[12,64,73,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 74 : i32]tensor<[12,64,74,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 75 : i32]tensor<[12,64,75,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 76 : i32]tensor<[12,64,76,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 77 : i32]tensor<[12,64,77,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 78 : i32]tensor<[12,64,78,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 79 : i32]tensor<[12,64,79,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 7 : i32]tensor<[12,64,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 80 : i32]tensor<[12,64,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 81 : i32]tensor<[12,64,81,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 82 : i32]tensor<[12,64,82,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 83 : i32]tensor<[12,64,83,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 84 : i32]tensor<[12,64,84,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 85 : i32]tensor<[12,64,85,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 86 : i32]tensor<[12,64,86,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 87 : i32]tensor<[12,64,87,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 88 : i32]tensor<[12,64,88,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 89 : i32]tensor<[12,64,89,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 8 : i32]tensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 8 : i32]tensor<[12,64,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 90 : i32]tensor<[12,64,90,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 91 : i32]tensor<[12,64,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 92 : i32]tensor<[12,64,92,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 93 : i32]tensor<[12,64,93,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 94 : i32]tensor<[12,64,94,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 95 : i32]tensor<[12,64,95,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 96 : i32]tensor<[12,64,96,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 97 : i32]tensor<[12,64,97,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 98 : i32]tensor<[12,64,98,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 64 : i32, 99 : i32]tensor<[12,64,99,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,64,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 64 : i32, 9 : i32]tensor<[12,64,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,65,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 780 + d1 * 65 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 65 : i32, 64 : i32]tensor<[12,65,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,66,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 66 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 66 : i32, 64 : i32]tensor<[12,66,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 66 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,67,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 804 + d1 * 67 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 67 : i32, 64 : i32]tensor<[12,67,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 67 + d1, d2), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,68,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 * 68 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 68 : i32, 64 : i32]tensor<[12,68,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 68 + d1, d2), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,69,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 828 + d1 * 69 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 69 : i32, 64 : i32]tensor<[12,69,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 69 + d1, d2), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 6 : i32, 64 : i32]tensor<[12,6,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,70,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 840 + d1 * 70 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 70 : i32, 64 : i32]tensor<[12,70,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 70 + d1, d2), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,71,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 852 + d1 * 71 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 71 : i32, 64 : i32]tensor<[12,71,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 71 + d1, d2), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,72,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 72 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 72 : i32, 64 : i32]tensor<[12,72,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 72 + d1, d2), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 876 + d1 * 73 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 73 : i32, 64 : i32]tensor<[12,73,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 73 + d1, d2), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,74,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 888 + d1 * 74 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 74 : i32, 64 : i32]tensor<[12,74,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 74 + d1, d2), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,75,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 75 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 75 : i32, 64 : i32]tensor<[12,75,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 75 + d1, d2), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 12 : i32, 64 : i32]tensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 768 : i32]tensor<[12,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,76,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 912 + d1 * 76 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 76 : i32, 64 : i32]tensor<[12,76,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 76 + d1, d2), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,77,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 924 + d1 * 77 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 77 : i32, 64 : i32]tensor<[12,77,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 77 + d1, d2), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,78,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 936 + d1 * 78 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 78 : i32, 64 : i32]tensor<[12,78,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 78 + d1, d2), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,79,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 948 + d1 * 79 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 79 : i32, 64 : i32]tensor<[12,79,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 79 + d1, d2), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 7 : i32, 64 : i32]tensor<[12,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 7 : i32, 7 : i32]tensor<[12,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,12,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 80 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 80 : i32, 64 : i32]tensor<[12,80,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,81,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 972 + d1 * 81 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 81 : i32, 64 : i32]tensor<[12,81,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 81 + d1, d2), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,82,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 984 + d1 * 82 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 82 : i32, 64 : i32]tensor<[12,82,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 82 + d1, d2), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,83,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 996 + d1 * 83 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 83 : i32, 64 : i32]tensor<[12,83,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 83 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,84,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 84 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 84 : i32, 64 : i32]tensor<[12,84,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 84 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,85,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1020 + d1 * 85 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 85 : i32, 64 : i32]tensor<[12,85,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 85 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,86,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1032 + d1 * 86 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 86 : i32, 64 : i32]tensor<[12,86,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 86 + d1, d2), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,87,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1044 + d1 * 87 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 87 : i32, 64 : i32]tensor<[12,87,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 87 + d1, d2), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,88,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 * 88 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 88 : i32, 64 : i32]tensor<[12,88,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 88 + d1, d2), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 8960 : i32]tensor<[12,8960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,89,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1068 + d1 * 89 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 89 : i32, 64 : i32]tensor<[12,89,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 89 + d1, d2), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 8 : i32, 64 : i32]tensor<[12,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 8 : i32, 8 : i32]tensor<[12,8,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,90,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 90 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 90 : i32, 64 : i32]tensor<[12,90,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 90 + d1, d2), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,91,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 91 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 91 : i32, 64 : i32]tensor<[12,91,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 91 + d1, d2), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,92,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1104 + d1 * 92 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 92 : i32, 64 : i32]tensor<[12,92,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 92 + d1, d2), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,93,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1116 + d1 * 93 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 93 : i32, 64 : i32]tensor<[12,93,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 93 + d1, d2), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,94,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1128 + d1 * 94 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 94 : i32, 64 : i32]tensor<[12,94,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 94 + d1, d2), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,95,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1140 + d1 * 95 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 95 : i32, 64 : i32]tensor<[12,95,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 95 + d1, d2), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 96 : i32]tensor<[12,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,96,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 96 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 96 : i32, 64 : i32]tensor<[12,96,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 96 + d1, d2), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,97,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1164 + d1 * 97 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 97 : i32, 64 : i32]tensor<[12,97,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 97 + d1, d2), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,98,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1176 + d1 * 98 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 98 : i32, 64 : i32]tensor<[12,98,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 98 + d1, d2), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,99,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1188 + d1 * 99 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 99 : i32, 64 : i32]tensor<[12,99,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 99 + d1, d2), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [12 : i32, 9 : i32, 64 : i32]tensor<[12,9,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [12 : i32, 9 : i32, 9 : i32]tensor<[12,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 11 : i32, 12 : i32, 11 : i32, 12 : i32, 192 : i32]tensor<[1,11,12,11,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 132 + d3 * 12 + d4, d5), memory_config: (545, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 11 : i32, 12 : i32, 11 : i32, 12 : i32, 384 : i32]tensor<[1,11,12,11,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 17424 + d1 * 1584 + d2 * 132 + d3 * 12 + d4, d5), memory_config: (545, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 1280 : i32]tensor<[1370,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')shape: [1370 : i32, 5120 : i32]tensor<[1370,5120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [13 : i32, 1536 : i32]tensor<[13,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,18944,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')shape: [13 : i32, 18944 : i32]tensor<[13,18944,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 28 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 3584 : i32]tensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 28 : i32, 128 : i32]tensor<[1,13,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 28 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')shape: [13 : i32, 3584 : i32]tensor<[13,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 13 : i32, 4 : i32, 128 : i32]tensor<[1,13,4,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 4 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,13,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [13 : i32, 96 : i32]tensor<[13,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1445 : i32, 3 : i32, 64 : i32]tensor<[1,1445,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 3 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')shape: [1445 : i32, 192 : i32]tensor<[1445,192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1445,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 3 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1445 : i32, 192 : i32]tensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')shape: [1445 : i32, 768 : i32]tensor<[1445,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [14 : i32, 128 : i32]tensor<[14,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 768 : i32]tensor<[1,14,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [196 : i32, 1024 : i32]tensor<[196,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')shape: [196 : i32, 2048 : i32]tensor<[196,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 7 : i32, 2 : i32, 7 : i32, 512 : i32]tensor<[1,2,7,2,7,512,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 196 + d1 * 98 + d2 * 14 + d3 * 7 + d4, d5), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [196 : i32, 512 : i32]tensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [14 : i32, 1536 : i32]tensor<[14,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [14 : i32, 3072 : i32]tensor<[14,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 14 : i32, 12 : i32, 64 : i32]tensor<[1,14,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [14 : i32, 768 : i32]tensor<[14,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,14,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [14 : i32, 96 : i32]tensor<[14,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1500,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 12 + d2, d3), memory_config: (563, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1500 : i32, 768 : i32]tensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')shape: [1500 : i32, 3072 : i32]tensor<[1500,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1500 : i32, 12 : i32, 64 : i32]tensor<[1,1500,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 12 + d2, d3), memory_config: (563, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1500 : i32, 12 : i32, 64 : i32]tensor<[1,1500,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 12 + d2, d3), memory_config: (563, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')shape: [1500 : i32, 768 : i32]tensor<[1500,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1536,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 16 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')shape: [1536 : i32, 16 : i32, 16 : i32]tensor<[1536,16,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1536,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1536,32,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 32 + d2, d3), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')shape: [1536 : i32, 32 : i32, 16 : i32]tensor<[1536,32,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1536,32,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 32 + d2, d3), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')shape: [1536 : i32, 32 : i32, 64 : i32]tensor<[1536,32,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1536,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 64 + d2, d3), memory_config: (3072, 2, 'tile<32x32, f32>', 'dram')shape: [1536 : i32, 64 : i32, 64 : i32]tensor<[1536,64,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (3072, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [15 : i32, 1024 : i32]tensor<[15,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [15 : i32, 1536 : i32]tensor<[15,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 15 : i32, 6 : i32, 64 : i32]tensor<[1,15,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')shape: [15 : i32, 384 : i32]tensor<[15,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [15 : i32, 512 : i32]tensor<[15,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 15 : i32, 384 : i32]tensor<[1,15,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,15,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [15 : i32, 96 : i32]tensor<[15,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,160,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (5, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 160 : i32, 32 : i32, 32 : i32]tensor<[1,160,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 32 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,160,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 16 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 160 : i32, 256 : i32]tensor<[1,160,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (5, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,160,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 32 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 160 : i32, 1024 : i32]tensor<[1,160,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (5, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')shape: [16384 : i32, 128 : i32]tensor<[16384,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')shape: [16384 : i32, 1536 : i32]tensor<[16384,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 192 : i32]tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')shape: [16384 : i32, 192 : i32]tensor<[16384,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16384,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16384 : i32, 32 : i32]tensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 32 : i32]tensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16384 : i32, 1 : i32, 32 : i32]tensor<[1,16384,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [16384 : i32, 32 : i32]tensor<[16384,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 128 : i32, 128 : i32, 384 : i32]tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')shape: [16384 : i32, 384 : i32]tensor<[16384,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')shape: [16384 : i32, 768 : i32]tensor<[16384,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 10 : i32, 10 : i32]tensor<[16,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 10 : i32, 64 : i32]tensor<[16,10,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 11 : i32, 64 : i32]tensor<[16,11,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,128,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 128 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 128 : i32, 9 : i32]tensor<[16,128,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 768 : i32]tensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 12 : i32, 64 : i32]tensor<[16,12,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1370 : i32, 1370 : i32]tensor<[16,1370,1370,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1370,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1370 : i32, 80 : i32]tensor<[16,1370,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 13 : i32, 64 : i32]tensor<[16,13,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 14 : i32, 64 : i32]tensor<[16,14,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 15 : i32, 64 : i32]tensor<[16,15,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1280 : i32]tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1536 : i32]tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,3072,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 3072 : i32]tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 16 : i32, 64 : i32]tensor<[16,16,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 17 : i32, 64 : i32]tensor<[16,17,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 17 + d1, d2), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 18 : i32, 64 : i32]tensor<[16,18,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 18 + d1, d2), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 197 : i32, 197 : i32]tensor<[16,197,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 197 : i32, 64 : i32]tensor<[16,197,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 19 : i32, 64 : i32]tensor<[16,19,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 10 : i32]tensor<[16,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 11 : i32]tensor<[16,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 12 : i32]tensor<[16,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 13 : i32]tensor<[16,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 14 : i32]tensor<[16,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 15 : i32]tensor<[16,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 16 : i32]tensor<[16,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 17 : i32]tensor<[16,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 18 : i32]tensor<[16,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 19 : i32]tensor<[16,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 1 : i32]tensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 20 : i32]tensor<[16,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 21 : i32]tensor<[16,1,21,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 22 : i32]tensor<[16,1,22,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 23 : i32]tensor<[16,1,23,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 24 : i32]tensor<[16,1,24,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 25 : i32]tensor<[16,1,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 26 : i32]tensor<[16,1,26,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 27 : i32]tensor<[16,1,27,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 28 : i32]tensor<[16,1,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 29 : i32]tensor<[16,1,29,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 2 : i32]tensor<[16,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 3 : i32]tensor<[16,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 4 : i32]tensor<[16,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 5 : i32]tensor<[16,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 64 : i32]tensor<[16,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 6 : i32]tensor<[16,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 7 : i32]tensor<[16,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 8 : i32]tensor<[16,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 1 : i32, 9 : i32]tensor<[16,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 20 : i32, 64 : i32]tensor<[16,20,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,21,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 21 : i32, 64 : i32]tensor<[16,21,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 21 + d1, d2), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,22,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 22 : i32, 64 : i32]tensor<[16,22,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 22 + d1, d2), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,23,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 23 : i32, 64 : i32]tensor<[16,23,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 23 + d1, d2), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 24 : i32, 64 : i32]tensor<[16,24,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 256 : i32, 256 : i32]tensor<[16,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,256,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 256 : i32, 64 : i32]tensor<[16,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 25 + d2, d3), memory_config: (13, 2, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 25 : i32, 64 : i32]tensor<[16,25,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (13, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,26,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 * 26 + d2, d3), memory_config: (13, 2, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 26 : i32, 64 : i32]tensor<[16,26,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 26 + d1, d2), memory_config: (13, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,27,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 27 + d2, d3), memory_config: (14, 2, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 27 : i32, 64 : i32]tensor<[16,27,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (14, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,28,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 2, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 28 : i32, 64 : i32]tensor<[16,28,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (14, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,29,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 464 + d1 * 29 + d2, d3), memory_config: (15, 2, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 29 : i32, 64 : i32]tensor<[16,29,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 29 + d1, d2), memory_config: (15, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 2 : i32, 64 : i32]tensor<[16,2,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 3072 : i32]tensor<[16,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 32 : i32]tensor<[16,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 32 : i32, 32 : i32]tensor<[16,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,32,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 32 : i32, 96 : i32]tensor<[16,32,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 3 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 3 : i32, 64 : i32]tensor<[16,3,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 4 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 4 : i32, 64 : i32]tensor<[16,4,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 5 : i32, 5 : i32]tensor<[16,5,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 5 : i32, 64 : i32]tensor<[16,5,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 10 : i32]tensor<[16,64,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 11 : i32]tensor<[16,64,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 12 : i32]tensor<[16,64,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 13 : i32]tensor<[16,64,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 14 : i32]tensor<[16,64,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 15 : i32]tensor<[16,64,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 16 : i32]tensor<[16,64,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 17 : i32]tensor<[16,64,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 18 : i32]tensor<[16,64,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 7, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 197 : i32]tensor<[16,64,197,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 19 : i32]tensor<[16,64,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 1 : i32]tensor<[16,64,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 20 : i32]tensor<[16,64,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 21 : i32]tensor<[16,64,21,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 22 : i32]tensor<[16,64,22,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 23 : i32]tensor<[16,64,23,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 24 : i32]tensor<[16,64,24,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 256 : i32]tensor<[16,64,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 25 : i32]tensor<[16,64,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 26 : i32]tensor<[16,64,26,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 27 : i32]tensor<[16,64,27,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 28 : i32]tensor<[16,64,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 64 : i32, 29 : i32]tensor<[16,64,29,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 2 : i32]tensor<[16,64,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 3 : i32]tensor<[16,64,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 4 : i32]tensor<[16,64,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 5 : i32]tensor<[16,64,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 6 : i32]tensor<[16,64,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 7 : i32]tensor<[16,64,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 8 : i32]tensor<[16,64,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,64,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 64 : i32, 9 : i32]tensor<[16,64,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 6 : i32, 64 : i32]tensor<[16,6,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 6 : i32, 6 : i32]tensor<[16,6,6,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 12 : i32, 64 : i32]tensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 768 : i32]tensor<[16,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 7 : i32, 64 : i32]tensor<[16,7,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,80,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 80 + d2, d3), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 80 : i32, 1370 : i32]tensor<[16,80,1370,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (40, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 8 : i32, 49 : i32, 49 : i32]tensor<[16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 8 : i32, 64 : i32]tensor<[16,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 9 : i32, 128 : i32]tensor<[16,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 9 : i32, 64 : i32]tensor<[16,9,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 9 : i32, 9 : i32]tensor<[16,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,184,14,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')shape: [184 : i32, 14 : i32, 7 : i32]tensor<[184,14,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')shape: [184 : i32, 7 : i32, 7 : i32]tensor<[184,7,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [18 : i32, 14 : i32, 14 : i32]tensor<[18,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [18 : i32, 28 : i32, 28 : i32]tensor<[18,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,18,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [18 : i32, 56 : i32, 14 : i32]tensor<[18,56,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,18,56,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [18 : i32, 56 : i32, 28 : i32]tensor<[18,56,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,18,56,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [18 : i32, 56 : i32, 7 : i32]tensor<[18,56,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,18,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')shape: [18 : i32, 7 : i32, 7 : i32]tensor<[18,7,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,19200,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 19200 : i32, 64 : i32]tensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')shape: [19200 : i32, 256 : i32]tensor<[19200,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 120 : i32, 160 : i32, 64 : i32]tensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 19200 : i32, 1 : i32, 64 : i32]tensor<[1,19200,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [19200 : i32, 64 : i32]tensor<[19200,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1920,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 60 : i32, 256 : i32]tensor<[1,32,60,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1920,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1920 : i32]tensor<[1,1920,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 60, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1920,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 60 : i32, 1024 : i32]tensor<[1,32,60,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,192,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 16384 : i32]tensor<[1,192,16384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,192,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')shape: [192 : i32, 128 : i32, 128 : i32]tensor<[192,128,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,192,16384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 512, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 128 : i32, 128 : i32]tensor<[1,192,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 128 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,192,256,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')shape: [192 : i32, 256 : i32, 128 : i32]tensor<[192,256,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,192,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 65536 : i32]tensor<[1,192,65536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 2048, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,192,32,42,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 32 + d2, d3), memory_config: (192, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 192 : i32, 1344 : i32]tensor<[1,192,1344,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,192,65536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 192 + d1, d2), memory_config: (6, 2048, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 192 : i32, 256 : i32, 256 : i32]tensor<[1,192,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 256 + d2, d3), memory_config: (1536, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')shape: [196 : i32, 3072 : i32]tensor<[196,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [196 : i32, 768 : i32]tensor<[196,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 197 : i32, 16 : i32, 64 : i32]tensor<[1,197,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 16 + d2, d3), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')shape: [197 : i32, 1024 : i32]tensor<[197,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,197,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 12 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 197 : i32, 768 : i32]tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,197,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 16 + d2, d3), memory_config: (99, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 197 : i32, 1024 : i32]tensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')shape: [197 : i32, 3072 : i32]tensor<[197,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')shape: [197 : i32, 4096 : i32]tensor<[197,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 197 : i32, 12 : i32, 64 : i32]tensor<[1,197,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 12 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [197 : i32, 768 : i32]tensor<[197,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32]tensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16 : i32, 64 : i32]tensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32]tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1536 : i32]tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 192 : i32]tensor<[1,192,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 12 : i32, 512 : i32]tensor<[1,12,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12 : i32, 128 : i32]tensor<[1,1,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1536 : i32]tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16384 : i32, 256 : i32]tensor<[1,16384,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16384 : i32, 32 : i32]tensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 256 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 16 : i32, 32 : i32]tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1024 : i32]tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,19200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 19200 : i32, 300 : i32]tensor<[1,19200,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,19200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 19200 : i32, 64 : i32]tensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,16,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 32 : i32]tensor<[1,1,1,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,6,4,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6 + d1 * 6 + d2 * 6 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 4 : i32]tensor<[1,6,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,6,91,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6 + d1 * 6 + d2 * 6 + d3, d4), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 91 : i32]tensor<[1,6,91,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 49 + d1 * 49 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 49 : i32, 1024 : i32]tensor<[1,49,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32]tensor<[1,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 2 : i32, 128 : i32]tensor<[1,1,2,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 * 2 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 32 : i32]tensor<[1,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 300 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 64 : i32]tensor<[1,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4 : i32, 768 : i32]tensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32]tensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 256 : i32]tensor<[1,32,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 6 : i32, 64 : i32]tensor<[1,1,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 384 : i32]tensor<[1,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32]tensor<[1,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4 : i32, 4 : i32, 64 : i32]tensor<[1,1,4,4,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16 + d1 * 16 + d2 * 4 + d3, d4), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 8 : i32, 64 : i32]tensor<[1,1,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32]tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,512,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 512 + d2, d3), memory_config: (16, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 512 : i32, 384 : i32]tensor<[1,512,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,1,64,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 64 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 300 : i32]tensor<[1,64,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 384 : i32]tensor<[1,1,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12 : i32, 64 : i32]tensor<[1,1,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 12 : i32, 64 : i32]tensor<[1,1,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32]tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,7,1,7,1024,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 49 + d1 * 49 + d2 * 7 + d3 * 7 + d4, d5), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8960 : i32]tensor<[1,8960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,1,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32]tensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,200,14,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')shape: [200 : i32, 14 : i32, 7 : i32]tensor<[200,14,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')shape: [200 : i32, 7 : i32, 7 : i32]tensor<[200,7,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[1,201,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 12 + d2, d3), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 201 : i32, 768 : i32]tensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')shape: [201 : i32, 3072 : i32]tensor<[201,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 201 : i32, 12 : i32, 64 : i32]tensor<[1,201,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 12 + d2, d3), memory_config: (76, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [201 : i32, 768 : i32]tensor<[201,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2048,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 8 : i32, 160 : i32]tensor<[1,2048,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 8 + d2, d3), memory_config: (512, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2048,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 15 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 300 : i32]tensor<[1,2048,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2048,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32]tensor<[1,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2048,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 8 : i32, 32 : i32]tensor<[1,2048,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 8 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2048,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 15 : i32, 20 : i32]tensor<[1,2048,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 15 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')shape: [2048 : i32, 768 : i32]tensor<[2048,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')shape: [2048 : i32, 768 : i32]tensor<[2048,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2048,8,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 8 + d2, d3), memory_config: (512, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 768 : i32]tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,22,12,22,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 69696 + d1 * 3168 + d2 * 264 + d3 * 12 + d4, d5), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 264 : i32, 264 : i32, 192 : i32]tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,22,22,12,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 69696 + d1 * 3168 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 12 : i32, 12 : i32, 192 : i32]tensor<[484,12,12,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')shape: [240 : i32, 14 : i32, 14 : i32]tensor<[240,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,240,28,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')shape: [240 : i32, 28 : i32, 14 : i32]tensor<[240,28,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,24,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 10 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 4 : i32, 10 : i32, 10 : i32]tensor<[1,6,4,10,10,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 240 + d1 * 40 + d2 * 10 + d3, d4), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,24,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 128 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 128 : i32, 32 : i32]tensor<[24,128,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 4 : i32, 1 : i32, 1 : i32]tensor<[1,6,4,1,1,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 24 + d1 * 4 + d2 + d3, d4), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,24,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 20 + d2, d3), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 4 : i32, 20 : i32, 20 : i32]tensor<[1,6,4,20,20,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 480 + d1 * 80 + d2 * 20 + d3, d4), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2 : i32, 12 : i32, 2 : i32, 12 : i32, 1536 : i32]tensor<[1,2,12,2,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 576 + d1 * 288 + d2 * 24 + d3 * 12 + d4, d5), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,24,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 2 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 4 : i32, 2 : i32, 2 : i32]tensor<[1,6,4,2,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 48 + d1 * 8 + d2 * 2 + d3, d4), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,24,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 32 : i32, 128 : i32]tensor<[24,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 32 : i32, 32 : i32]tensor<[24,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,24,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 3 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 4 : i32, 3 : i32, 3 : i32]tensor<[1,6,4,3,3,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 72 + d1 * 12 + d2 * 3 + d3, d4), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,24,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 5 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 4 : i32, 5 : i32, 5 : i32]tensor<[1,6,4,5,5,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 120 + d1 * 20 + d2 * 5 + d3, d4), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2520,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2520 + d1 + d2, d3), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2520 : i32]tensor<[1,2520,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 79, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,255,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4080 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3 : i32, 85 : i32, 16 : i32, 16 : i32]tensor<[1,3,85,16,16,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 4080 + d1 * 1360 + d2 * 16 + d3, d4), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,255,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 32 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3 : i32, 85 : i32, 32 : i32, 32 : i32]tensor<[1,3,85,32,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 8160 + d1 * 2720 + d2 * 32 + d3, d4), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,255,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16320 + d1 * 64 + d2, d3), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3 : i32, 85 : i32, 64 : i32, 64 : i32]tensor<[1,3,85,64,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 16320 + d1 * 5440 + d2 * 64 + d3, d4), memory_config: (510, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2560,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 80 : i32, 256 : i32]tensor<[1,32,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2560,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 80 : i32, 64 : i32]tensor<[1,32,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 256 : i32]tensor<[1,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 16 : i32, 64 : i32]tensor<[1,256,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 32 : i32, 32 : i32]tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1024 : i32]tensor<[256,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 120 + d2, d3), memory_config: (960, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 19200 : i32]tensor<[1,256,19200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 600, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 8 : i32, 160 : i32]tensor<[1,256,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1280 : i32]tensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 8 : i32, 160 : i32]tensor<[1,256,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 1280 : i32]tensor<[256,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 128 : i32, 128 : i32]tensor<[256,128,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,128,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 128 : i32, 16 : i32]tensor<[256,128,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 128 : i32, 32 : i32]tensor<[256,128,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 128 : i32, 64 : i32]tensor<[256,128,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 1536 : i32]tensor<[1,16,16,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')shape: [256 : i32, 1536 : i32]tensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 5 : i32, 32 : i32]tensor<[1,256,5,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 160 : i32]tensor<[256,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 512, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 128 : i32, 128 : i32]tensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 256 : i32]tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 16 : i32, 16 : i32]tensor<[256,16,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1024 : i32]tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,19200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 600, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 120 : i32, 160 : i32]tensor<[1,256,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 120 + d2, d3), memory_config: (960, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,23,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5888 + d1 * 23 + d2, d3), memory_config: (184, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 920 : i32]tensor<[1,256,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 16 : i32, 16 : i32, 256 : i32]tensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 16 : i32, 16 : i32]tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 8 : i32, 32 : i32]tensor<[1,256,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 256 : i32]tensor<[256,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 65536 : i32, 192 : i32]tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')shape: [256 : i32, 3072 : i32]tensor<[256,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1 : i32, 32 : i32]tensor<[1,256,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 32 : i32]tensor<[256,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,32,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 32 : i32, 16 : i32]tensor<[256,32,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 32 : i32, 32 : i32]tensor<[256,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 64 : i32, 64 : i32]tensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 4096 : i32]tensor<[256,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 5120 : i32]tensor<[256,5120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 512 : i32]tensor<[256,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')shape: [256 : i32, 6144 : i32]tensor<[256,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,256,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 2 : i32, 32 : i32]tensor<[1,256,2,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 64 : i32]tensor<[256,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 4096 : i32]tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 64 : i32, 64 : i32]tensor<[256,64,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 8 : i32, 96 : i32]tensor<[1,256,8,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 768 : i32]tensor<[256,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1280 : i32]tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1280 : i32]tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,256,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 256 : i32]tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,257,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 72, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 257 : i32, 3 : i32, 12 : i32, 64 : i32]tensor<[1,257,3,12,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 9252 + d1 * 36 + d2 * 12 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')shape: [257 : i32, 3072 : i32]tensor<[257,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')shape: [257 : i32, 768 : i32]tensor<[257,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,25,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 12 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 25 : i32, 768 : i32]tensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [25 : i32, 3072 : i32]tensor<[25,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 25 : i32, 12 : i32, 64 : i32]tensor<[1,25,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 12 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [25 : i32, 768 : i32]tensor<[25,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 22 : i32, 12 : i32, 22 : i32, 12 : i32, 192 : i32]tensor<[1,22,12,22,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 69696 + d1 * 3168 + d2 * 264 + d3 * 12 + d4, d5), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,27,257,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6939 + d1 * 257 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 27 : i32, 257 : i32]tensor<[1,27,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,27,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [27 : i32, 1 : i32, 1 : i32, 768 : i32]tensor<[27,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,27,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [27 : i32, 768 : i32]tensor<[27,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,27,768,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20736 + d1 * 768 + d2, d3), memory_config: (648, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 27 : i32, 768 : i32]tensor<[1,27,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,128,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 128 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')shape: [28 : i32, 128 : i32, 13 : i32]tensor<[28,128,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,28,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')shape: [28 : i32, 13 : i32, 128 : i32]tensor<[28,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [28 : i32, 13 : i32, 13 : i32]tensor<[28,13,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')shape: [784 : i32, 1024 : i32]tensor<[784,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4 : i32, 7 : i32, 4 : i32, 7 : i32, 256 : i32]tensor<[1,4,7,4,7,256,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 784 + d1 * 196 + d2 * 28 + d3 * 7 + d4, d5), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [784 : i32, 256 : i32]tensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')shape: [784 : i32, 512 : i32]tensor<[784,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,12,2,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 576 + d1 * 288 + d2 * 24 + d3 * 12 + d4, d5), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 24 : i32, 1536 : i32]tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 256 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 256 : i32, 32 : i32]tensor<[2,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,2,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 576 + d1 * 288 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 12 : i32, 12 : i32, 1536 : i32]tensor<[4,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,2,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 300 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 300 : i32, 64 : i32]tensor<[2,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 32 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 32 : i32, 256 : i32]tensor<[2,32,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 4096 : i32, 256 : i32]tensor<[2,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,4096,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 4096 : i32, 32 : i32]tensor<[2,4096,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,4800,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 4800 : i32, 300 : i32]tensor<[2,4800,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,4800,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 4800 : i32, 64 : i32]tensor<[2,4800,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,2,64,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 64 + d2, d3), memory_config: (4, 10, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 64 : i32, 300 : i32]tensor<[2,64,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (4, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 2 : i32, 64 : i32]tensor<[1,300,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 2 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')shape: [300 : i32, 128 : i32]tensor<[300,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')shape: [300 : i32, 2048 : i32]tensor<[300,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 5 : i32, 64 : i32]tensor<[1,300,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 * 5 + d2, d3), memory_config: (47, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')shape: [300 : i32, 320 : i32]tensor<[300,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 15 : i32, 20 : i32, 512 : i32]tensor<[1,15,20,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 8 : i32, 64 : i32]tensor<[1,300,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 8 + d2, d3), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')shape: [300 : i32, 512 : i32]tensor<[300,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 1 : i32, 64 : i32]tensor<[1,300,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')shape: [300 : i32, 64 : i32]tensor<[300,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,300,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 8 + d2, d3), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 512 : i32]tensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 3072 : i32]tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,320,1200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (10, 38, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 30 : i32, 40 : i32]tensor<[1,320,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,320,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 15 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 300 : i32]tensor<[1,320,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,320,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 30 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 320 : i32, 1200 : i32]tensor<[1,320,1200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (10, 38, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,320,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 10 : i32, 1024 : i32]tensor<[1,32,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 10 : i32, 4096 : i32]tensor<[1,32,10,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 8 : i32, 128 : i32]tensor<[1,32,8,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 8 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 32 : i32, 32 : i32]tensor<[1,320,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 320 : i32, 64 : i32, 64 : i32]tensor<[1,320,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,11008,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 11008 : i32]tensor<[32,11008,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 16384 : i32]tensor<[1,32,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')shape: [32 : i32, 128 : i32, 32 : i32]tensor<[32,128,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 1536 : i32]tensor<[32,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 128 : i32, 128 : i32]tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 16 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 256 : i32]tensor<[1,32,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 640 : i32, 32 : i32, 32 : i32]tensor<[1,640,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 640 : i32, 16 : i32, 16 : i32]tensor<[1,640,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 640 : i32, 64 : i32, 64 : i32]tensor<[1,640,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,24,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 24 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 3072 : i32]tensor<[1,32,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 24 : i32, 128 : i32]tensor<[1,32,24,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 24 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 3072 : i32]tensor<[32,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 32 : i32, 32 : i32]tensor<[1,960,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 960 : i32, 64 : i32, 64 : i32]tensor<[1,960,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 4096 : i32]tensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')shape: [32 : i32, 32 : i32, 128 : i32]tensor<[32,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1536 : i32]tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 1536 : i32]tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,3072,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 3072 : i32]tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [32 : i32, 32 : i32, 32 : i32]tensor<[32,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 32 : i32, 49 : i32]tensor<[32,32,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1024 : i32, 640 : i32]tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1024 : i32, 768 : i32]tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 128 : i32]tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 4096 : i32]tensor<[32,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 32 : i32, 32 : i32]tensor<[1,1280,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 16 : i32, 16 : i32]tensor<[1,1280,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1280 : i32, 8 : i32, 8 : i32]tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,4608,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 144, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 16 : i32, 3 : i32, 96 : i32]tensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (48, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 49 : i32, 32 : i32]tensor<[32,49,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 49 : i32, 49 : i32]tensor<[32,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1920 : i32, 32 : i32, 32 : i32]tensor<[1,1920,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1920 : i32, 16 : i32, 16 : i32]tensor<[1,1920,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 6144 : i32]tensor<[32,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2560 : i32, 16 : i32, 16 : i32]tensor<[1,2560,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2560 : i32, 8 : i32, 8 : i32]tensor<[1,2560,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,32,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')shape: [32 : i32, 8192 : i32]tensor<[32,8192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 144 : i32, 144 : i32]tensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [36 : i32, 14 : i32, 14 : i32]tensor<[36,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 24 : i32, 144 : i32, 144 : i32]tensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,36,28,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [36 : i32, 28 : i32, 14 : i32]tensor<[36,28,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,36,28,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [36 : i32, 28 : i32, 7 : i32]tensor<[36,28,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 12 : i32, 3 : i32, 12 : i32, 1536 : i32]tensor<[1,3,12,3,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 36 + d3 * 12 + d4, d5), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 12 : i32, 3 : i32, 12 : i32, 768 : i32]tensor<[1,3,12,3,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 36 + d3 * 12 + d4, d5), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,36,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [36 : i32, 7 : i32, 7 : i32]tensor<[36,7,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3712 : i32]tensor<[1,3712,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,384,128,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 128 + d2, d3), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')shape: [384 : i32, 128 : i32, 64 : i32]tensor<[384,128,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,384,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 256 + d2, d3), memory_config: (3072, 8, 'tile<32x32, f32>', 'dram')shape: [384 : i32, 256 : i32, 256 : i32]tensor<[384,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (3072, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,384,32,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 32 + d2, d3), memory_config: (384, 8, 'tile<32x32, f32>', 'dram')shape: [384 : i32, 32 : i32, 256 : i32]tensor<[384,32,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (384, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,384,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 64 + d2, d3), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')shape: [384 : i32, 64 : i32, 64 : i32]tensor<[384,64,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 1024 + d2, d3), memory_config: (96, 32, 'tile<32x32, f32>', 'dram')shape: [3 : i32, 1024 : i32, 1024 : i32]tensor<[3,1024,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (96, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,12,3,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 36 + d3 * 12 + d4, d5), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 36 : i32, 1536 : i32]tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,12,3,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 36 + d3 * 12 + d4, d5), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 36 : i32, 768 : i32]tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')shape: [3 : i32, 1445 : i32, 1445 : i32]tensor<[3,1445,1445,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,1445,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')shape: [3 : i32, 1445 : i32, 64 : i32]tensor<[3,1445,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 85 : i32]tensor<[1,768,85,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 256 + d2, d3), memory_config: (24, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3 : i32, 16 : i32, 16 : i32, 16 : i32, 16 : i32]tensor<[1,3,16,16,16,16,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 256 + d3 * 16 + d4, d5), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3,320,320,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 320 + d2, d3), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')shape: [3 : i32, 320 : i32, 320 : i32]tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 3072 : i32, 85 : i32]tensor<[1,3072,85,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,3,3,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 12 : i32, 12 : i32, 1536 : i32]tensor<[9,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,3,12,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 12 : i32, 12 : i32, 768 : i32]tensor<[9,12,12,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,512,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 512 + d2, d3), memory_config: (48, 32, 'tile<32x32, f32>', 'dram')shape: [3 : i32, 512 : i32, 1024 : i32]tensor<[3,512,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (48, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,64,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 64 + d2, d3), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')shape: [3 : i32, 64 : i32, 1445 : i32]tensor<[3,64,1445,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (6, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12288 : i32, 85 : i32]tensor<[1,12288,85,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12288 + d1, d2), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 4096 : i32]tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')shape: [4096 : i32, 1280 : i32]tensor<[4096,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')shape: [4096 : i32, 1536 : i32]tensor<[4096,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')shape: [4096 : i32, 256 : i32]tensor<[4096,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,2,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 2 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 64 : i32]tensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')shape: [4096 : i32, 3072 : i32]tensor<[4096,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 8 : i32, 40 : i32]tensor<[1,4096,8,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 8 + d2, d3), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 320 : i32]tensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')shape: [4096 : i32, 320 : i32]tensor<[4096,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 384 : i32]tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')shape: [4096 : i32, 384 : i32]tensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 2 : i32, 32 : i32]tensor<[1,4096,2,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 2 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 64 : i32]tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [4096 : i32, 64 : i32]tensor<[4096,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 768 : i32]tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')shape: [4096 : i32, 768 : i32]tensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,4096,8,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 8 + d2, d3), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 320 : i32]tensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,45,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 12 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 45 : i32, 768 : i32]tensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')shape: [45 : i32, 3072 : i32]tensor<[45,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 45 : i32, 12 : i32, 64 : i32]tensor<[1,45,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 12 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')shape: [45 : i32, 768 : i32]tensor<[45,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4800 : i32, 2 : i32, 64 : i32]tensor<[1,4800,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 2 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 60 : i32, 80 : i32, 128 : i32]tensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')shape: [4800 : i32, 128 : i32]tensor<[4800,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4800,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 2 + d2, d3), memory_config: (300, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4800 : i32, 128 : i32]tensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')shape: [4800 : i32, 512 : i32]tensor<[4800,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,480,14,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')shape: [480 : i32, 14 : i32, 7 : i32]tensor<[480,14,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')shape: [480 : i32, 7 : i32, 7 : i32]tensor<[480,7,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 6 : i32, 144 : i32, 144 : i32]tensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,49,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 7 : i32, 7 : i32, 1024 : i32]tensor<[1,1,1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 49 + d1 * 49 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,49,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [49 : i32, 1024 : i32]tensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,49,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 49 : i32, 3 : i32, 32 : i32, 32 : i32]tensor<[1,49,3,32,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 4704 + d1 * 96 + d2 * 32 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 16 : i32, 49 : i32, 49 : i32]tensor<[4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 48 : i32, 144 : i32, 144 : i32]tensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,50,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 12 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 50 : i32, 768 : i32]tensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,50,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')shape: [50 : i32, 3072 : i32]tensor<[50,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 50 : i32, 12 : i32, 64 : i32]tensor<[1,50,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 12 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')shape: [50 : i32, 768 : i32]tensor<[50,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,51200,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 51200 : i32]tensor<[1,1,51200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1600, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 512 : i32, 12 : i32]tensor<[1,1,512,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 512 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,512,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 15 + d2, d3), memory_config: (240, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 300 : i32]tensor<[1,512,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32]tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,4800,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 150, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 60 : i32, 80 : i32]tensor<[1,512,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 60 + d2, d3), memory_config: (960, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 60 + d2, d3), memory_config: (960, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 512 : i32, 4800 : i32]tensor<[1,512,4800,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 150, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 25088 : i32]tensor<[1,25088,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 784, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,546,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5460 + d1 * 10 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 91 : i32, 10 : i32, 10 : i32]tensor<[1,6,91,10,10,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 5460 + d1 * 910 + d2 * 10 + d3, d4), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,546,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 546 + d1 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 91 : i32, 1 : i32, 1 : i32]tensor<[1,6,91,1,1,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 546 + d1 * 91 + d2 + d3, d4), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,546,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10920 + d1 * 20 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 91 : i32, 20 : i32, 20 : i32]tensor<[1,6,91,20,20,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 10920 + d1 * 1820 + d2 * 20 + d3, d4), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,546,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 2 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 91 : i32, 2 : i32, 2 : i32]tensor<[1,6,91,2,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1092 + d1 * 182 + d2 * 2 + d3, d4), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,546,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1638 + d1 * 3 + d2, d3), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 91 : i32, 3 : i32, 3 : i32]tensor<[1,6,91,3,3,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1638 + d1 * 273 + d2 * 3 + d3, d4), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,546,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2730 + d1 * 5 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 91 : i32, 5 : i32, 5 : i32]tensor<[1,6,91,5,5,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2730 + d1 * 455 + d2 * 5 + d3, d4), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 7 : i32, 8 : i32, 7 : i32, 128 : i32]tensor<[1,8,7,8,7,128,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 3136 + d1 * 392 + d2 * 56 + d3 * 7 + d4, d5), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [3136 : i32, 128 : i32]tensor<[3136,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')shape: [3136 : i32, 512 : i32]tensor<[3136,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [5 : i32, 1024 : i32]tensor<[5,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')shape: [5 : i32, 1024 : i32, 256 : i32]tensor<[5,1024,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,1024,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')shape: [5 : i32, 1024 : i32, 32 : i32]tensor<[5,1024,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (160, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,1200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')shape: [5 : i32, 1200 : i32, 300 : i32]tensor<[5,1200,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,1200,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')shape: [5 : i32, 1200 : i32, 64 : i32]tensor<[5,1200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (188, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1280 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 16 : i32, 32 : i32]tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 1024 : i32]tensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,1,16,2,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 80 + d1 * 16 + d2 * 16 + d3, d4), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 5 : i32, 1 : i32, 32 : i32]tensor<[1,5,1,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,5,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 256 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [5 : i32, 256 : i32, 32 : i32]tensor<[5,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 * 300 + d2, d3), memory_config: (47, 2, 'tile<32x32, bf16>', 'dram')shape: [5 : i32, 300 : i32, 64 : i32]tensor<[5,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (47, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 4 : i32, 768 : i32]tensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 32 + d2, d3), memory_config: (5, 8, 'tile<32x32, bf16>', 'dram')shape: [5 : i32, 32 : i32, 256 : i32]tensor<[5,32,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (5, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [5 : i32, 4096 : i32]tensor<[5,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 4 : i32, 4 : i32, 64 : i32]tensor<[1,5,4,4,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 80 + d1 * 16 + d2 * 4 + d3, d4), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,5,64,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 64 + d2, d3), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')shape: [5 : i32, 64 : i32, 300 : i32]tensor<[5,64,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,640,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 640 + d1, d2), memory_config: (20, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 32 : i32, 32 : i32]tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,640,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 20 : i32, 256 : i32]tensor<[1,32,20,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 20 : i32, 1024 : i32]tensor<[1,32,20,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 1024 : i32]tensor<[1,640,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 640 + d1, d2), memory_config: (20, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 32 : i32, 32 : i32]tensor<[640,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,640,64,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')shape: [640 : i32, 64 : i32, 32 : i32]tensor<[640,64,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 20 : i32, 4096 : i32]tensor<[1,32,20,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 19200 : i32]tensor<[1,64,19200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 600, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,120,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 120 : i32, 80 : i32]tensor<[64,120,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 120 + d1, d2), memory_config: (240, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 8 : i32, 160 : i32]tensor<[1,64,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 8 + d2, d3), memory_config: (16, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 1280 : i32]tensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 1280 : i32]tensor<[64,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 12 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9216 : i32]tensor<[1,9216,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 288, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,15,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 15 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 300 : i32]tensor<[1,64,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,160,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 4, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 160 : i32, 120 : i32]tensor<[64,160,120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (320, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 16 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 256 : i32]tensor<[1,64,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,19200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 600, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 120 : i32, 160 : i32]tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,20,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 20 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 20 : i32, 15 : i32]tensor<[64,20,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,240,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 240 + d2, d3), memory_config: (480, 5, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 240 : i32, 160 : i32]tensor<[64,240,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 240 + d1, d2), memory_config: (480, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,30,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 30 : i32, 20 : i32]tensor<[64,30,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 30 + d1, d2), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,320,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 320 + d2, d3), memory_config: (640, 8, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 320 : i32, 240 : i32]tensor<[64,320,240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (640, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 64 : i32, 64 : i32]tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,40,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 40 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 40 : i32, 30 : i32]tensor<[64,40,30,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,480,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 10, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 480 : i32, 320 : i32]tensor<[64,480,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 480 + d1, d2), memory_config: (960, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 4 : i32, 49 : i32, 49 : i32]tensor<[64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 5120 : i32]tensor<[64,5120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,60,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 60 : i32, 40 : i32]tensor<[64,60,40,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (120, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 1536 : i32]tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 320 : i32]tensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 384 : i32]tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 4096 : i32]tensor<[1,64,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 768 : i32]tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 768 : i32]tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,64,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 64 : i32, 9 : i32]tensor<[64,64,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,64,80,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 80 : i32, 60 : i32]tensor<[64,80,60,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (160, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 8 + d2, d3), memory_config: (16, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1280 : i32]tensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,64,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 9 : i32, 64 : i32]tensor<[64,9,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 9 : i32, 9 : i32]tensor<[64,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 256 : i32, 192 : i32]tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')shape: [65536 : i32, 192 : i32]tensor<[65536,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')shape: [65536 : i32, 768 : i32]tensor<[65536,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,672,14,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')shape: [672 : i32, 14 : i32, 7 : i32]tensor<[672,14,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')shape: [672 : i32, 7 : i32, 7 : i32]tensor<[672,7,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1024 : i32]tensor<[6,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 16 : i32, 64 : i32]tensor<[1,6,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1024 : i32]tensor<[6,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 10 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 10 : i32, 64 : i32]tensor<[6,10,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 66 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 11 : i32, 64 : i32]tensor<[6,11,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 12 : i32, 64 : i32]tensor<[6,12,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,12,6,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 72 + d3 * 12 + d4, d5), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 72 : i32, 384 : i32]tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,12,6,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 72 + d3 * 12 + d4, d5), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 72 : i32, 72 : i32, 768 : i32]tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 78 + d1 * 13 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 13 : i32, 64 : i32]tensor<[6,13,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 14 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 14 : i32, 64 : i32]tensor<[6,14,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1536 : i32]tensor<[6,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 15 : i32, 15 : i32]tensor<[6,15,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 15 : i32, 64 : i32]tensor<[6,15,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1024 : i32]tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 16 : i32, 64 : i32]tensor<[6,16,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 102 + d1 * 17 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 17 : i32, 64 : i32]tensor<[6,17,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 17 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 18 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 18 : i32, 64 : i32]tensor<[6,18,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 18 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 114 + d1 * 19 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 19 : i32, 64 : i32]tensor<[6,19,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 10 : i32]tensor<[6,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 11 : i32]tensor<[6,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 12 : i32]tensor<[6,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 13 : i32]tensor<[6,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 14 : i32]tensor<[6,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 15 : i32]tensor<[6,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 16 : i32]tensor<[6,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 17 : i32]tensor<[6,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 18 : i32]tensor<[6,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 19 : i32]tensor<[6,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 1 : i32]tensor<[6,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 20 : i32]tensor<[6,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 2 : i32]tensor<[6,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 3 : i32]tensor<[6,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 4 : i32]tensor<[6,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 5 : i32]tensor<[6,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 64 : i32]tensor<[6,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 6 : i32]tensor<[6,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 7 : i32]tensor<[6,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 8 : i32]tensor<[6,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 1 : i32, 9 : i32]tensor<[6,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 20 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 20 : i32, 64 : i32]tensor<[6,20,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 2 : i32, 64 : i32]tensor<[6,2,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 3 : i32, 64 : i32]tensor<[6,3,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 4 : i32, 64 : i32]tensor<[6,4,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 512 : i32]tensor<[6,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 5 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 5 : i32, 64 : i32]tensor<[6,5,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 10 : i32]tensor<[6,64,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 11 : i32]tensor<[6,64,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 12 : i32]tensor<[6,64,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 13 : i32]tensor<[6,64,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 14 : i32]tensor<[6,64,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 15 : i32]tensor<[6,64,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 16 : i32]tensor<[6,64,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 17 : i32]tensor<[6,64,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 18 : i32]tensor<[6,64,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 19 : i32]tensor<[6,64,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 1 : i32]tensor<[6,64,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 20 : i32]tensor<[6,64,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 2 : i32]tensor<[6,64,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 3 : i32]tensor<[6,64,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 4 : i32]tensor<[6,64,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 5 : i32]tensor<[6,64,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 6 : i32]tensor<[6,64,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 7 : i32]tensor<[6,64,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 8 : i32]tensor<[6,64,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,64,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 64 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 64 : i32, 9 : i32]tensor<[6,64,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,6,12,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 12 : i32, 384 : i32]tensor<[36,12,12,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,6,12,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 12 : i32, 768 : i32]tensor<[36,12,12,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,6,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 6 : i32, 64 : i32]tensor<[6,6,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 7 : i32, 64 : i32]tensor<[6,7,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 8 : i32, 64 : i32]tensor<[6,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 96 : i32]tensor<[6,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,6,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 54 + d1 * 9 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [6 : i32, 9 : i32, 64 : i32]tensor<[6,9,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,71,64,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4544 + d1 * 64 + d2, d3), memory_config: (142, 1, 'tile<32x32, f32>', 'dram')shape: [71 : i32, 64 : i32, 7 : i32]tensor<[71,64,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (142, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')shape: [71 : i32, 7 : i32, 64 : i32]tensor<[71,7,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [71 : i32, 7 : i32, 7 : i32]tensor<[71,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,72,14,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [72 : i32, 14 : i32, 7 : i32]tensor<[72,14,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')shape: [72 : i32, 28 : i32, 28 : i32]tensor<[72,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,72,56,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')shape: [72 : i32, 56 : i32, 28 : i32]tensor<[72,56,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 12 : i32, 6 : i32, 12 : i32, 384 : i32]tensor<[1,6,12,6,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 72 + d3 * 12 + d4, d5), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 12 : i32, 6 : i32, 12 : i32, 768 : i32]tensor<[1,6,12,6,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 72 + d3 * 12 + d4, d5), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,72,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [72 : i32, 7 : i32, 7 : i32]tensor<[72,7,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 768 : i32]tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 128 + d2, d3), memory_config: (3072, 4, 'tile<32x32, f32>', 'dram')shape: [768 : i32, 128 : i32, 128 : i32]tensor<[768,128,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (3072, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,768,12,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 12 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 192 : i32]tensor<[1,768,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 196 : i32]tensor<[1,768,196,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,196,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 196 : i32]tensor<[768,196,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,257,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 197376 + d1 * 257 + d2, d3), memory_config: (6168, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 257 : i32]tensor<[1,768,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')shape: [768 : i32, 32 : i32, 128 : i32]tensor<[768,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,768,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')shape: [768 : i32, 32 : i32, 32 : i32]tensor<[768,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')shape: [768 : i32, 384 : i32]tensor<[768,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,64,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 64 + d2, d3), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')shape: [768 : i32, 64 : i32, 32 : i32]tensor<[768,64,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1536, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,768,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 7 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 49 : i32]tensor<[1,768,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 12 : i32, 64 : i32, 8 : i32]tensor<[1,12,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,768,8,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6144 + d1 * 8 + d2, d3), memory_config: (192, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 256 : i32]tensor<[1,768,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 768 : i32]tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [7 : i32, 1536 : i32]tensor<[7,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')shape: [7 : i32, 18176 : i32]tensor<[7,18176,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [7 : i32, 3072 : i32]tensor<[7,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')shape: [7 : i32, 4544 : i32]tensor<[7,4544,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,4672,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 146, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 73 : i32, 64 : i32]tensor<[1,7,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 511 + d1 * 73 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [7 : i32, 768 : i32]tensor<[7,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 12 : i32, 64 : i32]tensor<[1,7,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [7 : i32, 768 : i32]tensor<[7,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 7 : i32, 1 : i32, 7 : i32, 1024 : i32]tensor<[1,1,7,1,7,1024,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 49 + d1 * 49 + d2 * 7 + d3 * 7 + d4, d5), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [49 : i32, 1024 : i32]tensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')shape: [49 : i32, 2048 : i32]tensor<[49,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')shape: [49 : i32, 4096 : i32]tensor<[49,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,7,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [7 : i32, 96 : i32]tensor<[7,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 1024 : i32, 1024 : i32]tensor<[8,1024,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1024,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 1024 : i32, 80 : i32]tensor<[8,1024,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 1024 : i32, 9 : i32]tensor<[8,1024,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 10 : i32, 10 : i32]tensor<[8,10,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 10 : i32, 64 : i32]tensor<[8,10,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 88 + d1 * 11 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 11 : i32, 64 : i32]tensor<[8,11,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 12 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 12 : i32, 64 : i32]tensor<[8,12,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 104 + d1 * 13 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 13 : i32, 64 : i32]tensor<[8,13,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 14 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 14 : i32, 64 : i32]tensor<[8,14,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1536 : i32]tensor<[8,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 15 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 15 : i32, 64 : i32]tensor<[8,15,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,160,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 160 : i32, 256 : i32]tensor<[8,160,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 160 : i32, 64 : i32]tensor<[8,160,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,160,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 160 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 160 : i32, 9 : i32]tensor<[8,160,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 16 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 16 : i32, 64 : i32]tensor<[8,16,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 136 + d1 * 17 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 17 : i32, 64 : i32]tensor<[8,17,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 17 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 18 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 18 : i32, 64 : i32]tensor<[8,18,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 18 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 152 + d1 * 19 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 19 : i32, 64 : i32]tensor<[8,19,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 10 : i32]tensor<[8,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 11 : i32]tensor<[8,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 12 : i32]tensor<[8,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 13 : i32]tensor<[8,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 14 : i32]tensor<[8,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 15 : i32]tensor<[8,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 16 : i32]tensor<[8,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 17 : i32]tensor<[8,1,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 18 : i32]tensor<[8,1,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 19 : i32]tensor<[8,1,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 1 : i32]tensor<[8,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 20 : i32]tensor<[8,1,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 2 : i32]tensor<[8,1,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 3 : i32]tensor<[8,1,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 4 : i32]tensor<[8,1,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 5 : i32]tensor<[8,1,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 64 : i32]tensor<[8,1,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 6 : i32]tensor<[8,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 7 : i32]tensor<[8,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 8 : i32]tensor<[8,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 1 : i32, 9 : i32]tensor<[8,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,2048,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 5, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 2048 : i32, 160 : i32]tensor<[8,2048,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,2048,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 2048 : i32, 256 : i32]tensor<[8,2048,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 20 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 20 : i32, 64 : i32]tensor<[8,20,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 256 : i32, 160 : i32]tensor<[8,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 256 : i32, 2048 : i32]tensor<[8,256,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 256 : i32, 256 : i32]tensor<[8,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 256 : i32, 32 : i32]tensor<[8,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 3, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 256 : i32, 96 : i32]tensor<[8,256,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 256 : i32, 9 : i32]tensor<[8,256,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,2,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 2 : i32, 64 : i32]tensor<[8,2,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,300,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 300 : i32, 300 : i32]tensor<[8,300,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,300,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 300 : i32, 64 : i32]tensor<[8,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (75, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,32,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 64, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 32 : i32, 2048 : i32]tensor<[8,32,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (8, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 32 : i32, 256 : i32]tensor<[8,32,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,3,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 3 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 3 : i32, 64 : i32]tensor<[8,3,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 4096 : i32, 4096 : i32]tensor<[8,4096,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,4096,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 4096 : i32, 40 : i32]tensor<[8,4096,40,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 4096 : i32, 9 : i32]tensor<[8,4096,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,40,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 40 : i32, 4096 : i32]tensor<[8,40,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,40,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 40 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 40 : i32, 9 : i32]tensor<[8,40,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,4,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 4 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 4 : i32, 64 : i32]tensor<[8,4,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40 + d1 * 5 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 5 : i32, 64 : i32]tensor<[8,5,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 10 : i32]tensor<[8,64,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 11 : i32]tensor<[8,64,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 12 : i32]tensor<[8,64,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 13 : i32]tensor<[8,64,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 14 : i32]tensor<[8,64,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 15 : i32]tensor<[8,64,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 64 : i32, 160 : i32]tensor<[8,64,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 16 : i32]tensor<[8,64,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 17 : i32]tensor<[8,64,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 18 : i32]tensor<[8,64,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 19 : i32]tensor<[8,64,19,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 1 : i32]tensor<[8,64,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 20 : i32]tensor<[8,64,20,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 2 : i32]tensor<[8,64,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 10, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 300 : i32]tensor<[8,64,300,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 3 : i32]tensor<[8,64,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 4 : i32]tensor<[8,64,4,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 5 : i32]tensor<[8,64,5,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 64 : i32, 64 : i32]tensor<[8,64,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 6 : i32]tensor<[8,64,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 7 : i32]tensor<[8,64,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 64 : i32, 8 : i32]tensor<[8,64,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 64 : i32, 9 : i32]tensor<[8,64,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 48 + d1 * 6 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 6 : i32, 64 : i32]tensor<[8,6,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 7 : i32, 64 : i32]tensor<[8,7,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,80,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 80 : i32, 1024 : i32]tensor<[8,80,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,80,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 80 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 80 : i32, 9 : i32]tensor<[8,80,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1280 : i32]tensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 8 : i32, 64 : i32]tensor<[8,8,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 96 : i32]tensor<[8,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,9,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 5, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 9 : i32, 160 : i32]tensor<[8,9,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (3, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,9,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 9 : i32, 40 : i32]tensor<[8,9,40,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,8,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 9 : i32, 64 : i32]tensor<[8,9,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,8,9,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 3, 'tile<32x32, f32>', 'dram')shape: [8 : i32, 9 : i32, 80 : i32]tensor<[8,9,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (3, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 960 : i32]tensor<[1,960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,960,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 30 : i32, 1024 : i32]tensor<[1,32,30,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')shape: [960 : i32, 3 : i32, 3 : i32]tensor<[960,3,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,960,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 30 : i32, 4096 : i32]tensor<[1,32,30,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,960,7,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')shape: [960 : i32, 7 : i32, 3 : i32]tensor<[960,7,3,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 16 : i32, 64 : i32]tensor<[1,9,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 16 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 1024 : i32]tensor<[9,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 8 : i32, 160 : i32]tensor<[1,9,8,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 8 + d2, d3), memory_config: (3, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 128 : i32]tensor<[9,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 768 : i32]tensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 1536 : i32]tensor<[9,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 16384 : i32]tensor<[9,16384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 16 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 2048 : i32]tensor<[1,9,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 16 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 1024 : i32]tensor<[1,9,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 16 : i32, 128 : i32]tensor<[1,9,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 16 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 2048 : i32]tensor<[9,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 24 : i32, 144 : i32, 144 : i32]tensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 3072 : i32]tensor<[9,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 8 : i32, 40 : i32]tensor<[1,9,8,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 8 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 64 : i32, 64 : i32]tensor<[1,9,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 64 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 4096 : i32]tensor<[9,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 48 : i32, 144 : i32, 144 : i32]tensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,9,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 8 : i32, 80 : i32]tensor<[1,9,8,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 8 + d2, d3), memory_config: (3, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 64 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 4096 : i32]tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 12 : i32, 64 : i32]tensor<[1,9,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 12 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 768 : i32]tensor<[9,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 8192 : i32]tensor<[9,8192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,9,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')shape: [9 : i32, 96 : i32]tensor<[9,96,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[200,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 200 : i32, 14 : i32, 14 : i32]tensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[200,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 200 : i32, 7 : i32, 14 : i32]tensor<[1,200,7,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[201,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 201 : i32, 3072 : i32]tensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[201,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 201 : i32, 768 : i32]tensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2048,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 1280 : i32]tensor<[1,2048,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2048,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 256 : i32]tensor<[1,2048,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2048,262,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 9, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 262 : i32]tensor<[1,2048,262,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2048,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2048 : i32, 768 : i32]tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[240,14,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 240 : i32, 14 : i32, 28 : i32]tensor<[1,240,14,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[240,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 240 : i32, 28 : i32, 28 : i32]tensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[24,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 32 : i32, 128 : i32]tensor<[1,24,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[24,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 24 : i32, 32 : i32, 32 : i32]tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,10240,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 10240 : i32]tensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 320, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1024 : i32]tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 1280 : i32]tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,128,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 128 : i32, 128 : i32]tensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 1536 : i32]tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 160 : i32]tensor<[1,256,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,16,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 16 : i32, 128 : i32]tensor<[1,256,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,16,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 16 : i32, 32 : i32]tensor<[1,256,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 256 : i32]tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 2 : i32]tensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 32 : i32]tensor<[1,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,32,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 32 : i32, 128 : i32]tensor<[1,256,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,32,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 32 : i32, 32 : i32]tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 4096 : i32]tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 512 : i32]tensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 256 : i32, 6144 : i32]tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[256,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 64 : i32]tensor<[1,256,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,64,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 64 : i32, 128 : i32]tensor<[1,256,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[256,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 256 : i32, 768 : i32]tensor<[1,256,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[257,1,768,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 768 + d2, d3), memory_config: (6168, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 257 : i32, 768 : i32]tensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[257,2304,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 257 : i32, 2304 : i32]tensor<[1,257,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 72, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[257,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 257 : i32, 3072 : i32]tensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[257,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 257 : i32, 768 : i32]tensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[25,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 25 : i32, 2 : i32]tensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[25,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 25 : i32, 3072 : i32]tensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[25,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 25 : i32, 768 : i32]tensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[27,257,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 27 : i32, 257 : i32]tensor<[1,27,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[27,30522,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 27 : i32, 30522 : i32]tensor<[1,27,30522,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 954, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[27,38,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 27 : i32, 38 : i32]tensor<[1,27,38,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[27,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 27 : i32, 50257 : i32]tensor<[1,27,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[28,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 28 : i32, 13 : i32, 128 : i32]tensor<[1,28,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[28,13,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 28 : i32, 13 : i32, 13 : i32]tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 7 : i32, 4 : i32, 7 : i32]tensor<[4,7,4,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 * 4 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')shape: [24 : i32, 13 : i32, 13 : i32]tensor<[24,13,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,13,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 12 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 13 : i32, 768 : i32]tensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,13,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')shape: [26 : i32, 3072 : i32]tensor<[26,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [2 : i32, 13 : i32, 12 : i32, 64 : i32]tensor<[2,13,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 12 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')shape: [26 : i32, 768 : i32]tensor<[26,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[2,7,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [14 : i32, 2048 : i32]tensor<[14,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [14 : i32, 512 : i32]tensor<[14,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 7 : i32, 8 : i32, 64 : i32]tensor<[2,7,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,7,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')shape: [2 : i32, 7 : i32, 512 : i32]tensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 7 : i32, 7 : i32]tensor<[16,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[300,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 128 : i32]tensor<[1,300,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[300,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 2048 : i32]tensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[300,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 320 : i32]tensor<[1,300,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[300,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 512 : i32]tensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[300,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 300 : i32, 64 : i32]tensor<[1,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3136,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 49 : i32, 128 : i32]tensor<[64,49,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3136,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 49 : i32, 384 : i32]tensor<[64,49,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[3234,1,4,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')shape: [3234 : i32, 4 : i32]tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3234,2,2,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')shape: [3234 : i32, 4 : i32]tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [32 : i32, 1 : i32]tensor<[32,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.reshapetensor<[32,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 1536 : i32]tensor<[1,32,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 128 : i32]tensor<[1,32,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 32 : i32, 32 : i32, 32 : i32]tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[32,4608,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 4608 : i32]tensor<[1,32,4608,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 144, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[32,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 32 : i32, 6144 : i32]tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[36,12,12,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 144 : i32, 384 : i32]tensor<[36,144,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,12,12,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 6 : i32, 12 : i32, 12 : i32, 384 : i32]tensor<[1,6,6,12,12,384,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,12,12,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 144 : i32, 768 : i32]tensor<[36,144,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,12,12,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 6 : i32, 6 : i32, 12 : i32, 12 : i32, 768 : i32]tensor<[1,6,6,12,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 5184 + d1 * 864 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 12 : i32, 144 : i32, 144 : i32]tensor<[1,36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')shape: [432 : i32, 144 : i32, 144 : i32]tensor<[432,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,144,1152,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 144 : i32, 3 : i32, 12 : i32, 32 : i32]tensor<[36,144,3,12,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 5184 + d1 * 36 + d2 * 12 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,144,2304,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 144 : i32, 3 : i32, 24 : i32, 32 : i32]tensor<[36,144,3,24,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 10368 + d1 * 72 + d2 * 24 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,144,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 12 : i32, 384 : i32]tensor<[36,12,12,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,144,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')shape: [5184 : i32, 384 : i32]tensor<[5184,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,144,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 12 : i32, 12 : i32, 768 : i32]tensor<[36,12,12,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,144,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')shape: [5184 : i32, 768 : i32]tensor<[5184,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,14,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 36 : i32, 14 : i32, 28 : i32]tensor<[1,36,14,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 36 : i32, 24 : i32, 144 : i32, 144 : i32]tensor<[1,36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')shape: [864 : i32, 144 : i32, 144 : i32]tensor<[864,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[36,28,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 36 : i32, 28 : i32, 28 : i32]tensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[36,7,28,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 36 : i32, 7 : i32, 28 : i32]tensor<[1,36,7,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[384,128,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 128 : i32, 128 : i32]tensor<[1,384,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 128 + d2, d3), memory_config: (1536, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 256 : i32, 32 : i32]tensor<[1,384,256,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 256 + d2, d3), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (384, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 32 : i32, 32 : i32]tensor<[1,384,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 32 + d2, d3), memory_config: (384, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[384,64,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 384 : i32, 64 : i32, 128 : i32]tensor<[1,384,64,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 64 + d2, d3), memory_config: (768, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (96, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 1024 : i32, 512 : i32]tensor<[1,3,1024,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 1024 + d2, d3), memory_config: (96, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3,1445,1445,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 1445 : i32, 1445 : i32]tensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3,1445,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 1445 : i32, 64 : i32]tensor<[1,3,1445,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 320 : i32, 320 : i32]tensor<[1,3,320,320,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 320 + d2, d3), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[3,512,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (48, 16, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 512 : i32, 512 : i32]tensor<[1,3,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 512 + d2, d3), memory_config: (48, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 1536 : i32]tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,2560,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 2560 : i32]tensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4096,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 256 : i32]tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4096,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 3072 : i32]tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 320 : i32]tensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4096,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 384 : i32]tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4096,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4096 : i32, 64 : i32]tensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4096,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4096 : i32, 768 : i32]tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')shape: [45 : i32, 1 : i32]tensor<[45,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[45,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 45 : i32, 3072 : i32]tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[45,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 45 : i32, 768 : i32]tensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4800,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4800 : i32, 128 : i32]tensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4800,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4800 : i32, 512 : i32]tensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[480,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 480 : i32, 14 : i32, 14 : i32]tensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[480,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 480 : i32, 7 : i32, 14 : i32]tensor<[1,480,7,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[484,12,12,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 144 : i32, 192 : i32]tensor<[484,144,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[484,12,12,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 22 : i32, 22 : i32, 12 : i32, 12 : i32, 192 : i32]tensor<[1,22,22,12,12,192,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 69696 + d1 * 3168 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[484,144,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 12 : i32, 12 : i32, 192 : i32]tensor<[484,12,12,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[484,144,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')shape: [69696 : i32, 192 : i32]tensor<[69696,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[484,144,576,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 144 : i32, 3 : i32, 6 : i32, 32 : i32]tensor<[484,144,3,6,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2592 + d1 * 18 + d2 * 6 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 484 : i32, 6 : i32, 144 : i32, 144 : i32]tensor<[1,484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')shape: [2904 : i32, 144 : i32, 144 : i32]tensor<[2904,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 49 : i32, 1024 : i32]tensor<[1,49,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[49,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 49 : i32, 3072 : i32]tensor<[1,49,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 144 : i32, 1536 : i32]tensor<[4,144,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 2 : i32, 2 : i32, 12 : i32, 12 : i32, 1536 : i32]tensor<[1,2,2,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 576 + d1 * 288 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,13,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 13 : i32, 16 : i32, 64 : i32]tensor<[4,13,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 16 + d2, d3), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,13,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')shape: [52 : i32, 1024 : i32]tensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')shape: [52 : i32, 768 : i32]tensor<[52,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,144,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 12 : i32, 12 : i32, 1536 : i32]tensor<[4,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,144,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')shape: [576 : i32, 1536 : i32]tensor<[576,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,144,4608,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 144 : i32, 3 : i32, 48 : i32, 32 : i32]tensor<[4,144,3,48,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 20736 + d1 * 144 + d2 * 48 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,16,13,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 13 : i32, 64 : i32]tensor<[64,13,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 1 : i32, 13 : i32]tensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 1 : i32, 1 : i32]tensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 1 : i32, 64 : i32]tensor<[64,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 1 : i32, 64 : i32]tensor<[64,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 4 : i32, 16 : i32, 49 : i32, 49 : i32]tensor<[1,4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 49 : i32, 49 : i32]tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,16,64,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')shape: [64 : i32, 64 : i32, 1 : i32]tensor<[64,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 1 : i32, 16 : i32, 64 : i32]tensor<[4,1,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 1 : i32, 16 : i32, 64 : i32]tensor<[4,1,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 1024 : i32]tensor<[4,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,1,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 1 : i32, 1024 : i32]tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 4096 : i32]tensor<[4,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 4 : i32, 48 : i32, 144 : i32, 144 : i32]tensor<[1,4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')shape: [192 : i32, 144 : i32, 144 : i32]tensor<[192,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[4,49,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 48, 'tile<32x32, bf16>', 'dram')shape: [4 : i32, 49 : i32, 3 : i32, 16 : i32, 32 : i32]tensor<[4,49,3,16,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 2352 + d1 * 48 + d2 * 16 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,49,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 2 : i32, 2 : i32, 7 : i32, 7 : i32, 512 : i32]tensor<[1,2,2,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 196 + d1 * 98 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,49,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')shape: [196 : i32, 512 : i32]tensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[4,4,1,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')shape: [16 : i32, 1 : i32, 2048 : i32]tensor<[16,1,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[50,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 50 : i32, 3072 : i32]tensor<[1,50,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[50,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 50 : i32, 768 : i32]tensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[5184,1152,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 144 : i32, 1152 : i32]tensor<[36,144,1152,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 36, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[5184,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 144 : i32, 2304 : i32]tensor<[36,144,2304,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 72, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[5184,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 144 : i32, 384 : i32]tensor<[36,144,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[5184,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')shape: [36 : i32, 144 : i32, 768 : i32]tensor<[36,144,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (162, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[52,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 13 : i32, 1024 : i32]tensor<[4,13,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')shape: [8 : i32, 7 : i32, 8 : i32, 7 : i32]tensor<[8,7,8,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 8 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[576,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 144 : i32, 1536 : i32]tensor<[4,144,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (18, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[576,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 144 : i32, 4608 : i32]tensor<[4,144,4608,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (18, 144, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [5 : i32, 1 : i32]tensor<[5,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[5,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 1024 : i32]tensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[5,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 4096 : i32]tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[5,51200,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 5 : i32, 51200 : i32]tensor<[1,5,51200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1600, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,32,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 32 : i32, 64 : i32]tensor<[1,640,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[640,64,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 640 : i32, 64 : i32, 64 : i32]tensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,10240,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 10240 : i32]tensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 320, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,120,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 120 + d1, d2), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 120 : i32, 160 : i32]tensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 1280 : i32]tensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,160,240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 160 + d1, d2), memory_config: (320, 8, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 160 : i32, 240 : i32]tensor<[1,64,160,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 16 : i32, 1 : i32, 13 : i32]tensor<[4,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 16 : i32, 1 : i32, 1 : i32]tensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,1,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')shape: [4 : i32, 16 : i32, 1 : i32, 64 : i32]tensor<[4,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,20,30,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 20 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 20 : i32, 30 : i32]tensor<[1,64,20,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 20 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,240,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 240 + d1, d2), memory_config: (480, 10, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 240 : i32, 320 : i32]tensor<[1,64,240,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 240 + d2, d3), memory_config: (480, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,30,40,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 30 + d1, d2), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 30 : i32, 40 : i32]tensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,320,480,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (640, 15, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 320 : i32, 480 : i32]tensor<[1,64,320,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 320 + d2, d3), memory_config: (640, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,40,60,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 40 + d1, d2), memory_config: (80, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 40 : i32, 60 : i32]tensor<[1,64,40,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 40 + d2, d3), memory_config: (80, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,480,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 480 + d1, d2), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 480 : i32, 640 : i32]tensor<[1,64,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 480 + d2, d3), memory_config: (960, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,49,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 8 : i32, 8 : i32, 7 : i32, 7 : i32, 128 : i32]tensor<[1,8,8,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 3136 + d1 * 392 + d2 * 49 + d3 * 7 + d4, d5), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,49,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')shape: [3136 : i32, 128 : i32]tensor<[3136,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,49,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 12, 'tile<32x32, bf16>', 'dram')shape: [64 : i32, 49 : i32, 3 : i32, 4 : i32, 32 : i32]tensor<[64,49,3,4,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 588 + d1 * 12 + d2 * 4 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 4 : i32, 49 : i32, 49 : i32]tensor<[1,64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')shape: [256 : i32, 49 : i32, 49 : i32]tensor<[256,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,60,80,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 60 + d1, d2), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 60 : i32, 80 : i32]tensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,80,120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 80 + d1, d2), memory_config: (160, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 64 : i32, 80 : i32, 120 : i32]tensor<[1,64,80,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[64,9,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 9 : i32, 64 : i32]tensor<[1,64,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[64,9,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 64 : i32, 9 : i32, 9 : i32]tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[65536,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 65536 : i32, 192 : i32]tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[65536,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 65536 : i32, 768 : i32]tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[672,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 672 : i32, 14 : i32, 14 : i32]tensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[672,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 672 : i32, 7 : i32, 14 : i32]tensor<[1,672,7,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[69696,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 144 : i32, 192 : i32]tensor<[484,144,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (2178, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[69696,576,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')shape: [484 : i32, 144 : i32, 576 : i32]tensor<[484,144,576,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (2178, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [6 : i32, 1 : i32]tensor<[6,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[6,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 6 : i32, 1024 : i32]tensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[6,1,100,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')shape: [600 : i32, 256 : i32]tensor<[600,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (19, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[72,14,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 72 : i32, 14 : i32, 14 : i32]tensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[72,28,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 72 : i32, 28 : i32, 56 : i32]tensor<[1,72,28,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[72,56,56,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 72 : i32, 56 : i32, 56 : i32]tensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[72,7,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 72 : i32, 7 : i32, 14 : i32]tensor<[1,72,7,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,128,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 128 + d1, d2), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32, 128 : i32, 32 : i32]tensor<[1,768,128,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98304 + d1 * 128 + d2, d3), memory_config: (3072, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,196,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 768 : i32, 196 : i32]tensor<[1,768,196,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[768,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32, 32 : i32, 32 : i32]tensor<[1,768,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,32,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32, 32 : i32, 64 : i32]tensor<[1,768,32,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 32 + d2, d3), memory_config: (768, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[768,64,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 768 : i32, 64 : i32, 64 : i32]tensor<[1,768,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49152 + d1 * 64 + d2, d3), memory_config: (1536, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 49 : i32, 256 : i32]tensor<[16,49,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[784,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, bf16>', 'dram')shape: [16 : i32, 49 : i32, 768 : i32]tensor<[16,49,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,2304,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 2304 : i32]tensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 72, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 3072 : i32]tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[7,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 7 : i32, 768 : i32]tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [2 : i32, 4 : i32, 1 : i32]tensor<[2,4,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[8,1024,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1024 : i32, 1024 : i32]tensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,1024,80,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1024 : i32, 80 : i32]tensor<[1,8,1024,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,1024,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 1024 : i32, 9 : i32]tensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 160 : i32]tensor<[1,8,256,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 256 : i32]tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,256,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 256 : i32, 9 : i32]tensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,4096,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 4096 : i32, 4096 : i32]tensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,4096,40,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 4096 : i32, 40 : i32]tensor<[1,8,4096,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,4096,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 4096 : i32, 9 : i32]tensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,64,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 64 : i32, 160 : i32]tensor<[1,8,64,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,64,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 64 : i32, 64 : i32]tensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[8,64,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 8 : i32, 64 : i32, 9 : i32]tensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[920,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')shape: [920 : i32, 2048 : i32]tensor<[920,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')shape: [920 : i32, 256 : i32]tensor<[920,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')shape: [920 : i32, 8 : i32, 32 : i32]tensor<[920,8,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[920,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')shape: [920 : i32, 1 : i32, 2048 : i32]tensor<[920,1,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[920,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')shape: [920 : i32, 1 : i32, 256 : i32]tensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[920,8,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (230, 1, 'tile<32x32, bf16>', 'dram')shape: [920 : i32, 256 : i32]tensor<[920,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[960,3,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 960 : i32, 3 : i32, 7 : i32]tensor<[1,960,3,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[960,7,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 960 : i32, 7 : i32, 7 : i32]tensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 1024 : i32]tensor<[1,9,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 128 : i32]tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 144 : i32, 1536 : i32]tensor<[9,144,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 12 : i32, 12 : i32, 1536 : i32]tensor<[1,3,3,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,12,12,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 144 : i32, 768 : i32]tensor<[9,144,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,12,12,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 3 : i32, 3 : i32, 12 : i32, 12 : i32, 768 : i32]tensor<[1,3,3,12,12,768,f32]>mapping_from: (d0, d1, d2, d3, d4, d5), mapping_to: (d0 * 1296 + d1 * 432 + d2 * 144 + d3 * 12 + d4, d5), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,144,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 12 : i32, 12 : i32, 1536 : i32]tensor<[9,12,12,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,144,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')shape: [1296 : i32, 1536 : i32]tensor<[1296,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,144,2304,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 72, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 144 : i32, 3 : i32, 24 : i32, 32 : i32]tensor<[9,144,3,24,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 10368 + d1 * 72 + d2 * 24 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,144,4608,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 144, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 144 : i32, 3 : i32, 48 : i32, 32 : i32]tensor<[9,144,3,48,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 20736 + d1 * 144 + d2 * 48 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,144,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')shape: [9 : i32, 12 : i32, 12 : i32, 768 : i32]tensor<[9,12,12,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,144,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')shape: [1296 : i32, 768 : i32]tensor<[1296,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (41, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,16384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 16384 : i32]tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 2048 : i32]tensor<[1,9,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 9 : i32, 24 : i32, 144 : i32, 144 : i32]tensor<[1,9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')shape: [216 : i32, 144 : i32, 144 : i32]tensor<[216,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,30000,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 30000 : i32]tensor<[1,9,30000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 938, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 3072 : i32]tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 4096 : i32]tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 9 : i32, 48 : i32, 144 : i32, 144 : i32]tensor<[1,9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')shape: [432 : i32, 144 : i32, 144 : i32]tensor<[432,144,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 144 + d1, d2), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[9,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 768 : i32]tensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[9,8192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 9 : i32, 8192 : i32]tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32]tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.reshapetensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')shape: [1 : i32, 1 : i32, 1 : i32]tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan

ttnn.rsqrt

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.rsqrttensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,1024,512,bf16]>
tensor<[1,1024,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,1024,6144,f32]>
tensor<[1,1024,6144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1024,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,1024,640,bf16]>
tensor<[1,1024,640,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,10,3072,bf16]>
tensor<[1,10,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,10,768,bf16]>
tensor<[1,10,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,1200,1280,bf16]>
tensor<[1,1200,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,1370,5120,bf16]>
tensor<[1,1370,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,1445,768,bf16]>
tensor<[1,1445,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,14,14,2048,bf16]>
tensor<[1,14,14,2048,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,1500,3072,bf16]>
tensor<[1,1500,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,1536,bf16]>
tensor<[1,1536,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,16384,128,bf16]>
tensor<[1,16384,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,16384,1536,f32]>
tensor<[1,16384,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16384,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,16,3072,bf16]>
tensor<[1,16,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,19200,256,bf16]>
tensor<[1,19200,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,196,3072,bf16]>
tensor<[1,196,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,197,3072,bf16]>
tensor<[1,197,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,197,4096,bf16]>
tensor<[1,197,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,201,3072,bf16]>
tensor<[1,201,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,2048,768,bf16]>
tensor<[1,2048,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,256,1024,bf16]>
tensor<[1,256,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,256,1280,bf16]>
tensor<[1,256,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,256,256,bf16]>
tensor<[1,256,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,256,4096,bf16]>
tensor<[1,256,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,256,5120,bf16]>
tensor<[1,256,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,256,6144,f32]>
tensor<[1,256,6144,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,256,6144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,257,3072,bf16]>
tensor<[1,257,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,25,3072,bf16]>
tensor<[1,25,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,28,28,1024,bf16]>
tensor<[1,28,28,1024,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,300,2048,bf16]>
tensor<[1,300,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,4096,1280,bf16]>
tensor<[1,4096,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,4096,256,bf16]>
tensor<[1,4096,256,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,4096,3072,f32]>
tensor<[1,4096,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,4096,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,4800,512,bf16]>
tensor<[1,4800,512,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,56,56,512,bf16]>
tensor<[1,56,56,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,64,5120,bf16]>
tensor<[1,64,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,65536,768,f32]>
tensor<[1,65536,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,65536,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,768,1500,bf16]>
tensor<[1,768,1500,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,768,3000,bf16]>
tensor<[1,768,3000,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,768,384,bf16]>
tensor<[1,768,384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,7,18176,bf16]>
tensor<[1,7,18176,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[1,7,7,4096,bf16]>
tensor<[1,7,7,4096,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.rsqrttensor<[4,1,4096,f32]>
tensor<[4,1,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[4,1,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,1,f32]>
tensor<[1,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,1024,1,f32]>
tensor<[1,1024,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1024,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,10,1,f32]>
tensor<[1,10,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,10,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,11,1,f32]>
tensor<[1,11,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,11,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,1200,1,f32]>
tensor<[1,1200,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,12,1,f32]>
tensor<[1,12,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,1370,1,f32]>
tensor<[1,1370,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1370,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,13,1,f32]>
tensor<[1,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,1445,1,f32]>
tensor<[1,1445,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1445,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,14,1,f32]>
tensor<[1,14,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,14,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,14,14,1,f32]>
tensor<[1,14,14,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,14,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,1500,1,f32]>
tensor<[1,1500,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1500,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,15,1,f32]>
tensor<[1,15,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,15,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,16384,1,f32]>
tensor<[1,16384,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16384,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,16,1,f32]>
tensor<[1,16,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,19200,1,f32]>
tensor<[1,19200,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,19200,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,196,1,f32]>
tensor<[1,196,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,196,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,197,1,f32]>
tensor<[1,197,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,197,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,1,1,f32]>
tensor<[1,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,201,1,f32]>
tensor<[1,201,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,201,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,2048,1,f32]>
tensor<[1,2048,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2048,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,256,1,f32]>
tensor<[1,256,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,256,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,257,1,f32]>
tensor<[1,257,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,257,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,25,1,f32]>
tensor<[1,25,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,25,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,27,1,f32]>
tensor<[1,27,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,27,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,28,28,1,f32]>
tensor<[1,28,28,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,28,28,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,300,1,f32]>
tensor<[1,300,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,300,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,32,1,f32]>
tensor<[1,32,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,32,1,1,f32]>
tensor<[1,32,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,4096,1,f32]>
tensor<[1,4096,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,4096,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,45,1,f32]>
tensor<[1,45,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,45,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,4800,1,f32]>
tensor<[1,4800,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,4800,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,50,1,f32]>
tensor<[1,50,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,50,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,56,56,1,f32]>
tensor<[1,56,56,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,56,56,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,5,1,f32]>
tensor<[1,5,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,5,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,64,1,f32]>
tensor<[1,64,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,64,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,65536,1,f32]>
tensor<[1,65536,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,65536,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,6,1,f32]>
tensor<[1,6,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,7,1,f32]>
tensor<[1,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,7,7,1,f32]>
tensor<[1,7,7,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,7,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,8,1,f32]>
tensor<[1,8,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[1,9,1,f32]>
tensor<[1,9,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,9,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[2,13,1,f32]>
tensor<[2,13,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[2,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[2,7,1,f32]>
tensor<[2,7,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[2,7,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[4,1,1,f32]>
tensor<[4,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[4,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.rsqrttensor<[920,1,1,f32]>
tensor<[920,1,1,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan

ttnn.scatter

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.scattertensor<[1,3,720,1280,bf16]>
tensor<[1,3,720,1280,bf16]>
tensor<[1,3,720,1280,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2160 + d1 * 720 + d2, d3), memory_config: (68, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2160 + d1 * 720 + d2, d3), memory_config: (68, 40, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2160 + d1 * 720 + d2, d3), memory_config: (68, 40, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,720,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2160 + d1 * 720 + d2, d3), memory_config: (68, 40, 'tile<32x32, bf16>', 'dram')nannan

ttnn.sigmoid

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.sigmoidtensor<[1,120,14,14,bf16]>
tensor<[1,120,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,1392,1,1,bf16]>
tensor<[1,1392,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1392,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1392 + d1 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,184,7,7,bf16]>
tensor<[1,184,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,1,256,256,bf16]>
tensor<[1,1,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,1,480,640,bf16]>
tensor<[1,1,480,640,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,480,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 480 + d1 * 480 + d2, d3), memory_config: (15, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,200,7,7,bf16]>
tensor<[1,200,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,232,1,1,bf16]>
tensor<[1,232,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,232,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 232 + d1 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,240,14,14,bf16]>
tensor<[1,240,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,2,120,160,bf16]>
tensor<[1,2,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,2,30,40,bf16]>
tensor<[1,2,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,2,60,80,bf16]>
tensor<[1,2,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3712,1,1,bf16]>
tensor<[1,3712,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3712,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3712 + d1 + d2, d3), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3,16,16,85,bf16]>
tensor<[1,3,16,16,85,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3,32,32,85,bf16]>
tensor<[1,3,32,32,85,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3,64,64,85,bf16]>
tensor<[1,3,64,64,85,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,480,7,7,bf16]>
tensor<[1,480,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,50,3072,bf16]>
tensor<[1,50,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,50,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,672,7,7,bf16]>
tensor<[1,672,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,696,1,1,bf16]>
tensor<[1,696,1,1,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,696,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,72,28,28,bf16]>
tensor<[1,72,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,960,3,3,bf16]>
tensor<[1,960,3,3,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[2,7,2048,bf16]>
tensor<[2,7,2048,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[2,7,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[6,1,100,4,bf16]>
tensor<[6,1,100,4,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,1280,32,32,bf16]>
tensor<[1,1280,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,1280,8,8,bf16]>
tensor<[1,1280,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,128,32,32,bf16]>
tensor<[1,128,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,128,64,64,bf16]>
tensor<[1,128,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,12,8960,bf16]>
tensor<[1,12,8960,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,12,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,13,18944,bf16]>
tensor<[1,13,18944,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,13,18944,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 592, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,1920,16,16,bf16]>
tensor<[1,1920,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1920,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,1920,32,32,bf16]>
tensor<[1,1920,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1920,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,1,8960,bf16]>
tensor<[1,1,8960,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,8960,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 280, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,2560,16,16,bf16]>
tensor<[1,2560,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2560,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,2560,8,8,bf16]>
tensor<[1,2560,8,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,2560,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,256,16,16,bf16]>
tensor<[1,256,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,256,32,32,bf16]>
tensor<[1,256,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3072,10,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3072,11,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3072,12,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3072,13,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3072,14,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3072,15,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3072,6,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3072,7,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3072,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,3072,9,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,320,32,32,bf16]>
tensor<[1,320,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,320,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,320,64,64,bf16]>
tensor<[1,320,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,32,11008,bf16]>
tensor<[1,32,11008,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,11008,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 344, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,32,128,128,bf16]>
tensor<[1,32,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,32,256,256,bf16]>
tensor<[1,32,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,32,8192,bf16]>
tensor<[1,32,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,512,16,16,bf16]>
tensor<[1,512,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,640,16,16,bf16]>
tensor<[1,640,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,640,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,640,32,32,bf16]>
tensor<[1,640,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,640,64,64,bf16]>
tensor<[1,640,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,64,128,128,bf16]>
tensor<[1,64,128,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,64,64,64,bf16]>
tensor<[1,64,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,960,32,32,bf16]>
tensor<[1,960,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,960,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sigmoidtensor<[1,960,64,64,bf16]>
tensor<[1,960,64,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,960,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')nannan

ttnn.sin

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.sintensor<[1,13,128,f32]>
tensor<[1,13,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.sintensor<[1,1,128,f32]>
tensor<[1,1,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.sintensor<[1,32,128,f32]>
tensor<[1,32,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan

ttnn.slice

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.slicetensor<[1,132,132,192,f32]>
tensor<[1,6,132,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 192, 'f32', 'dram')
begins: [0 : i32, 126 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 132 : i32, 132 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,192,f32]>
tensor<[1,126,132,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 126 : i32, 132 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,126,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,192,f32]>
tensor<[1,132,6,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 126 : i32, 0 : i32]
ends: [1 : i32, 132 : i32, 132 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,132,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,192,f32]>
tensor<[1,132,126,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 132 : i32, 126 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,132,126,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,384,f32]>
tensor<[1,126,132,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 132 : i32, 132 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,384,f32]>
tensor<[1,6,132,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 132 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,384,f32]>
tensor<[1,132,126,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 132 : i32, 132 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,384,f32]>
tensor<[1,132,6,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 132 : i32, 6 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,384,f32]>
tensor<[1,6,132,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'dram')
begins: [0 : i32, 126 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 132 : i32, 132 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,384,f32]>
tensor<[1,126,132,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 126 : i32, 132 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,384,f32]>
tensor<[1,132,6,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 126 : i32, 0 : i32]
ends: [1 : i32, 132 : i32, 132 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,384,f32]>
tensor<[1,132,126,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 132 : i32, 126 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,14,14,512,bf16]>
tensor<[1,11,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 14 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,11,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,14,512,bf16]>
tensor<[1,3,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 14 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,14,512,bf16]>
tensor<[1,14,11,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 14 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,14,11,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,14,512,bf16]>
tensor<[1,14,3,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 3 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,14,3,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,14,512,bf16]>
tensor<[1,3,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')
begins: [0 : i32, 11 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 14 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,14,512,bf16]>
tensor<[1,11,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 11 : i32, 14 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,11,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,14,512,bf16]>
tensor<[1,14,3,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 14 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,14,3,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,14,512,bf16]>
tensor<[1,14,11,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 11 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,14,11,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,24,24,1536,f32]>
tensor<[1,18,24,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 24 : i32, 24 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,24,24,1536,f32]>
tensor<[1,6,24,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 24 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,24,24,1536,f32]>
tensor<[1,24,18,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 24 : i32, 24 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,24,24,1536,f32]>
tensor<[1,24,6,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 24 : i32, 6 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,24,24,1536,f32]>
tensor<[1,6,24,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')
begins: [0 : i32, 18 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 24 : i32, 24 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,24,24,1536,f32]>
tensor<[1,18,24,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 18 : i32, 24 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,24,24,1536,f32]>
tensor<[1,24,6,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 18 : i32, 0 : i32]
ends: [1 : i32, 24 : i32, 24 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,24,24,1536,f32]>
tensor<[1,24,18,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 24 : i32, 18 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,264,264,192,f32]>
tensor<[1,258,264,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 264 : i32, 264 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,264,264,192,f32]>
tensor<[1,6,264,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 264 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,264,264,192,f32]>
tensor<[1,264,258,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 264 : i32, 264 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,264,264,192,f32]>
tensor<[1,264,6,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 264 : i32, 6 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,264,264,192,f32]>
tensor<[1,6,264,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')
begins: [0 : i32, 258 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 264 : i32, 264 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,264,264,192,f32]>
tensor<[1,258,264,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 258 : i32, 264 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,264,264,192,f32]>
tensor<[1,264,6,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 258 : i32, 0 : i32]
ends: [1 : i32, 264 : i32, 264 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,264,264,192,f32]>
tensor<[1,264,258,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 264 : i32, 258 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,28,28,256,bf16]>
tensor<[1,25,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 28 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,25,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,28,256,bf16]>
tensor<[1,3,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 28 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,28,256,bf16]>
tensor<[1,28,25,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 28 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,28,25,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,28,256,bf16]>
tensor<[1,28,3,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 3 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,28,3,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,28,256,bf16]>
tensor<[1,3,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')
begins: [0 : i32, 25 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 28 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,28,256,bf16]>
tensor<[1,25,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 25 : i32, 28 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,25,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,28,256,bf16]>
tensor<[1,28,3,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 25 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 28 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,28,3,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,28,256,bf16]>
tensor<[1,28,25,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 25 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,28,25,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,36,36,1536,f32]>
tensor<[1,30,36,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 36 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,1536,f32]>
tensor<[1,6,36,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 36 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,1536,f32]>
tensor<[1,36,30,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 36 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,1536,f32]>
tensor<[1,36,6,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 6 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,1536,f32]>
tensor<[1,6,36,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')
begins: [0 : i32, 30 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 36 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,1536,f32]>
tensor<[1,30,36,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 30 : i32, 36 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,1536,f32]>
tensor<[1,36,6,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 30 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 36 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,1536,f32]>
tensor<[1,36,30,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 30 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,768,f32]>
tensor<[1,30,36,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 36 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,768,f32]>
tensor<[1,6,36,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 36 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,768,f32]>
tensor<[1,36,30,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 36 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,768,f32]>
tensor<[1,36,6,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 6 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,768,f32]>
tensor<[1,6,36,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'dram')
begins: [0 : i32, 30 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 36 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,768,f32]>
tensor<[1,30,36,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 30 : i32, 36 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,768,f32]>
tensor<[1,36,6,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 30 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 36 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,768,f32]>
tensor<[1,36,30,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 30 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,56,56,128,bf16]>
tensor<[1,53,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 56 : i32, 56 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,53,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,56,56,128,bf16]>
tensor<[1,3,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 56 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,56,56,128,bf16]>
tensor<[1,56,53,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 56 : i32, 56 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,56,53,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,56,56,128,bf16]>
tensor<[1,56,3,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 56 : i32, 3 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,56,3,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,56,56,128,bf16]>
tensor<[1,3,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')
begins: [0 : i32, 53 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 56 : i32, 56 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,56,56,128,bf16]>
tensor<[1,53,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 53 : i32, 56 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,53,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,56,56,128,bf16]>
tensor<[1,56,3,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 53 : i32, 0 : i32]
ends: [1 : i32, 56 : i32, 56 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,56,3,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,56,56,128,bf16]>
tensor<[1,56,53,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 56 : i32, 53 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,56,53,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,72,72,384,f32]>
tensor<[1,66,72,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 72 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,384,f32]>
tensor<[1,6,72,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 72 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,384,f32]>
tensor<[1,72,66,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 72 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,384,f32]>
tensor<[1,72,6,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 6 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,384,f32]>
tensor<[1,6,72,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'dram')
begins: [0 : i32, 66 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 72 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,384,f32]>
tensor<[1,66,72,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 66 : i32, 72 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,384,f32]>
tensor<[1,72,6,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 66 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 72 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,384,f32]>
tensor<[1,72,66,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 66 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,768,f32]>
tensor<[1,66,72,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 72 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,768,f32]>
tensor<[1,6,72,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 72 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,768,f32]>
tensor<[1,72,66,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 72 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,768,f32]>
tensor<[1,72,6,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 6 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,768,f32]>
tensor<[1,6,72,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'dram')
begins: [0 : i32, 66 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 72 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,768,f32]>
tensor<[1,66,72,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 66 : i32, 72 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,768,f32]>
tensor<[1,72,6,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 66 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 72 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,768,f32]>
tensor<[1,72,66,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 72 : i32, 66 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,10,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 9 : i32]
ends: [1 : i32, 10 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,10,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,50280,f32]>
tensor<[1,1,50280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 50280, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')
begins: [0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 10 : i32, 50280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.slicetensor<[1,11,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 10 : i32]
ends: [1 : i32, 11 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 11 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,50280,f32]>
tensor<[1,1,50280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 50280, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')
begins: [0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 11 : i32, 50280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.slicetensor<[1,12,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 11 : i32]
ends: [1 : i32, 12 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,12,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 11 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 12 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,50280,f32]>
tensor<[1,1,50280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 50280, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')
begins: [0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 12 : i32, 50280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.slicetensor<[1,1370,1280,bf16]>
tensor<[1,1,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (1370, 1280, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1280, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 1280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1280, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 12 : i32]
ends: [1 : i32, 13 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 11 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 12 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 12 : i32, 0 : i32]
ends: [1 : i32, 13 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,50280,f32]>
tensor<[1,1,50280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 50280, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')
begins: [0 : i32, 12 : i32, 0 : i32]
ends: [1 : i32, 13 : i32, 50280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.slicetensor<[1,14,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 13 : i32]
ends: [1 : i32, 14 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 11 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 12 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 12 : i32, 0 : i32]
ends: [1 : i32, 13 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 13 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,50280,f32]>
tensor<[1,1,50280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 50280, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')
begins: [0 : i32, 13 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 50280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.slicetensor<[1,15,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 14 : i32]
ends: [1 : i32, 15 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 11 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 12 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 12 : i32, 0 : i32]
ends: [1 : i32, 13 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 13 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 14 : i32, 0 : i32]
ends: [1 : i32, 15 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,50280,f32]>
tensor<[1,1,50280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 50280, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')
begins: [0 : i32, 14 : i32, 0 : i32]
ends: [1 : i32, 15 : i32, 50280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.slicetensor<[1,16,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 15 : i32]
ends: [1 : i32, 16 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,16,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,17,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 17, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 16 : i32]
ends: [1 : i32, 17 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,18,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 17 : i32]
ends: [1 : i32, 18 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,197,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,19,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 19, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 18 : i32]
ends: [1 : i32, 19 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,201,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (201, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,20,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 19 : i32]
ends: [1 : i32, 20 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,21,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 20 : i32]
ends: [1 : i32, 21 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,22,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 22, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 21 : i32]
ends: [1 : i32, 22 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,23,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 23, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 22 : i32]
ends: [1 : i32, 23 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,24,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 23 : i32]
ends: [1 : i32, 24 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,25,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,2,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 1 : i32]
ends: [1 : i32, 2 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,2,120,160,bf16]>
tensor<[1,1,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (240, 160, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (120, 160, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 120 : i32, 160 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (120, 160, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,2,120,160,bf16]>
tensor<[1,1,120,160,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (240, 160, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (120, 160, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 120 : i32, 160 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (120, 160, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,2,30,40,bf16]>
tensor<[1,1,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (60, 40, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (30, 40, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 30 : i32, 40 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (30, 40, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,2,30,40,bf16]>
tensor<[1,1,30,40,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (60, 40, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (30, 40, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 30 : i32, 40 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (30, 40, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,2,60,80,bf16]>
tensor<[1,1,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (120, 80, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (60, 80, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 60 : i32, 80 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (60, 80, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,2,60,80,bf16]>
tensor<[1,1,60,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (120, 80, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (60, 80, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 60 : i32, 80 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (60, 80, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,10,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,10,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,10,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,10,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,10,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,10,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,10,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,10,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,10,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,10,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 11 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,11,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 11 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 12 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,12,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 11 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 12 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 12 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 13 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,13,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 11 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 12 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 12 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 13 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 13 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 14 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,14,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 10 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 11 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 12 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 12 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 13 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 13 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 14 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 14 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 15 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,15,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 9 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 10 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,6,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,6,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,6,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,6,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,6,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,6,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,7,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,7,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,7,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,7,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,7,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,7,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,7,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,8,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,8,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,8,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,8,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,8,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,8,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,8,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,8,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,9,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,9,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,9,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,9,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,9,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,9,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,9,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,9,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3072,9,16,f32]>
tensor<[1,3072,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,32,16,3,96,bf16]>
tensor<[1,32,16,1,96,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 16 : i32, 1 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,32,16,3,96,bf16]>
tensor<[1,32,16,1,96,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 16 : i32, 2 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,32,16,3,96,bf16]>
tensor<[1,32,16,1,96,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 16 : i32, 3 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 2 : i32]
ends: [1 : i32, 3 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,3,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 224 : i32, 224 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 224 : i32, 224 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,224,224,bf16]>
tensor<[1,1,224,224,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 224 : i32, 224 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,45,50257,bf16]>
tensor<[1,1,50257,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (45, 50257, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50257, 'bf16', 'dram')
begins: [0 : i32, 44 : i32, 0 : i32]
ends: [1 : i32, 45 : i32, 50257 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50257, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,4,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 3 : i32]
ends: [1 : i32, 4 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,50,f32]>
tensor<[1,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 50, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'f32', 'dram')
begins: [0 : i32, 49 : i32]
ends: [1 : i32, 50 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'f32', 'dram')nannan
ttnn.slicetensor<[1,50,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (50, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,5,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 4 : i32]
ends: [1 : i32, 5 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,5,51200,f32]>
tensor<[1,1,51200,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 51200, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 51200, 'f32', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 51200 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 51200, 'f32', 'dram')nannan
ttnn.slicetensor<[1,6,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 5 : i32]
ends: [1 : i32, 6 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,6,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6,50272,bf16]>
tensor<[1,1,50272,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 50272, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50272, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 50272 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50272, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6,50280,f32]>
tensor<[1,1,50280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 50280, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 50280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.slicetensor<[1,7,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 6 : i32]
ends: [1 : i32, 7 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,7,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,50280,f32]>
tensor<[1,1,50280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 50280, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 50280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.slicetensor<[1,8,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 7 : i32]
ends: [1 : i32, 8 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,8,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,50280,f32]>
tensor<[1,1,50280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 50280, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')
begins: [0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 50280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.slicetensor<[1,8,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 8 : i32]
ends: [1 : i32, 9 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,9,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 2 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 3 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 4 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 5 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 6 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 7 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,16,bf16]>
tensor<[1,1,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')
begins: [0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,50280,f32]>
tensor<[1,1,50280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 50280, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')
begins: [0 : i32, 8 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 50280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'dram')nannan
ttnn.slicetensor<[1,9,768,bf16]>
tensor<[1,1,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')nannan
ttnn.slicetensor<[3234,4,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')
begins: [0 : i32, 0 : i32]
ends: [3234 : i32, 1 : i32]
step: [1 : i32, 1 : i32]
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.slicetensor<[3234,4,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')
begins: [0 : i32, 1 : i32]
ends: [3234 : i32, 2 : i32]
step: [1 : i32, 1 : i32]
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.slicetensor<[3234,4,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')
begins: [0 : i32, 2 : i32]
ends: [3234 : i32, 3 : i32]
step: [1 : i32, 1 : i32]
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.slicetensor<[3234,4,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')
begins: [0 : i32, 3 : i32]
ends: [3234 : i32, 4 : i32]
step: [1 : i32, 1 : i32]
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.slicetensor<[3,121,12,144,32,f32]>
tensor<[1,121,12,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 121 : i32, 12 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,121,12,144,32,f32]>
tensor<[1,121,12,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 121 : i32, 12 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,121,12,144,32,f32]>
tensor<[1,121,12,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 121 : i32, 12 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,121,6,144,32,f32]>
tensor<[1,121,6,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 121 : i32, 6 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,121,6,144,32,f32]>
tensor<[1,121,6,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 121 : i32, 6 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,121,6,144,32,f32]>
tensor<[1,121,6,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 121 : i32, 6 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,1370,1,1280,bf16]>
tensor<[1,1370,1,1280,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1370 : i32, 1 : i32, 1280 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,1370,1,1280,bf16]>
tensor<[1,1370,1,1280,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 1370 : i32, 1 : i32, 1280 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,1370,1,1280,bf16]>
tensor<[1,1370,1,1280,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 1370 : i32, 1 : i32, 1280 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,16,8,49,32,bf16]>
tensor<[1,16,8,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 16 : i32, 8 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,16,8,49,32,bf16]>
tensor<[1,16,8,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 16 : i32, 8 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,16,8,49,32,bf16]>
tensor<[1,16,8,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 16 : i32, 8 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,1,12,257,64,bf16]>
tensor<[1,1,12,257,64,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 12 : i32, 257 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,1,12,257,64,bf16]>
tensor<[1,1,12,257,64,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 1 : i32, 12 : i32, 257 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,1,12,257,64,bf16]>
tensor<[1,1,12,257,64,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 1 : i32, 12 : i32, 257 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,1,32,49,32,bf16]>
tensor<[1,1,32,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 32 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,1,32,49,32,bf16]>
tensor<[1,1,32,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 1 : i32, 32 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,1,32,49,32,bf16]>
tensor<[1,1,32,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 1 : i32, 32 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,36,12,144,32,f32]>
tensor<[1,36,12,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 12 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,36,12,144,32,f32]>
tensor<[1,36,12,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 36 : i32, 12 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,36,12,144,32,f32]>
tensor<[1,36,12,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 36 : i32, 12 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,36,24,144,32,f32]>
tensor<[1,36,24,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 36 : i32, 24 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,36,24,144,32,f32]>
tensor<[1,36,24,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 36 : i32, 24 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,36,24,144,32,f32]>
tensor<[1,36,24,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 36 : i32, 24 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,484,6,144,32,f32]>
tensor<[1,484,6,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 484 : i32, 6 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,484,6,144,32,f32]>
tensor<[1,484,6,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 484 : i32, 6 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,484,6,144,32,f32]>
tensor<[1,484,6,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 484 : i32, 6 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,4,16,49,32,bf16]>
tensor<[1,4,16,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 16 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,4,16,49,32,bf16]>
tensor<[1,4,16,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 4 : i32, 16 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,4,16,49,32,bf16]>
tensor<[1,4,16,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 4 : i32, 16 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,4,48,144,32,f32]>
tensor<[1,4,48,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 48 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,4,48,144,32,f32]>
tensor<[1,4,48,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 4 : i32, 48 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,4,48,144,32,f32]>
tensor<[1,4,48,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 4 : i32, 48 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,64,4,49,32,bf16]>
tensor<[1,64,4,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 4 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,64,4,49,32,bf16]>
tensor<[1,64,4,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 64 : i32, 4 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,64,4,49,32,bf16]>
tensor<[1,64,4,49,32,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 64 : i32, 4 : i32, 49 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,9,24,144,32,f32]>
tensor<[1,9,24,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 24 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,9,24,144,32,f32]>
tensor<[1,9,24,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 9 : i32, 24 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,9,24,144,32,f32]>
tensor<[1,9,24,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 9 : i32, 24 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,9,48,144,32,f32]>
tensor<[1,9,48,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 48 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,9,48,144,32,f32]>
tensor<[1,9,48,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 9 : i32, 48 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[3,9,48,144,32,f32]>
tensor<[1,9,48,144,32,f32]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 9 : i32, 48 : i32, 144 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'dram')nannan
ttnn.slicetensor<[4,2,1,ui32]>
tensor<[1,2,1,ui32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 1 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[4,2,1,ui32]>
tensor<[1,2,1,ui32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')
begins: [1 : i32, 0 : i32, 0 : i32]
ends: [2 : i32, 2 : i32, 1 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[4,2,1,ui32]>
tensor<[1,2,1,ui32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')
begins: [2 : i32, 0 : i32, 0 : i32]
ends: [3 : i32, 2 : i32, 1 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[4,2,1,ui32]>
tensor<[1,2,1,ui32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')
begins: [3 : i32, 0 : i32, 0 : i32]
ends: [4 : i32, 2 : i32, 1 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[6,1,100,4,bf16]>
tensor<[1,1,100,4,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (600, 4, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (100, 4, 'bf16', 'dram')
begins: [5 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [6 : i32, 1 : i32, 100 : i32, 4 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (100, 4, 'bf16', 'dram')nannan
ttnn.slicetensor<[6,1,100,92,bf16]>
tensor<[1,1,100,92,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (600, 92, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (100, 92, 'bf16', 'dram')
begins: [5 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [6 : i32, 1 : i32, 100 : i32, 92 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (100, 92, 'bf16', 'dram')nannan
ttnn.slicetensor<[8,1,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[8,50,f32]>
tensor<[8,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 50, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'f32', 'dram')
begins: [0 : i32, 49 : i32]
ends: [8 : i32, 50 : i32]
step: [1 : i32, 1 : i32]
tensor<[8,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'f32', 'dram')nannan
ttnn.slicetensor<[14,14,bf16]>
tensor<[3,14,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'dram')
begins: [11 : i32, 0 : i32]
ends: [14 : i32, 14 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'dram')nannan
ttnn.slicetensor<[14,14,bf16]>
tensor<[4,14,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'dram')
begins: [7 : i32, 0 : i32]
ends: [11 : i32, 14 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'dram')nannan
ttnn.slicetensor<[14,14,bf16]>
tensor<[7,14,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [7 : i32, 14 : i32]
step: [1 : i32, 1 : i32]
tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'dram')nannan
ttnn.slicetensor<[16,2048,f32]>
tensor<[8,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 2048, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'dram')
begins: [0 : i32, 0 : i32]
ends: [8 : i32, 2048 : i32]
step: [1 : i32, 1 : i32]
tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'dram')nannan
ttnn.slicetensor<[16,2048,f32]>
tensor<[8,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 2048, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'dram')
begins: [8 : i32, 0 : i32]
ends: [16 : i32, 2048 : i32]
step: [1 : i32, 1 : i32]
tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'dram')nannan
ttnn.slicetensor<[1,1024,5120,bf16]>
tensor<[1,1024,2560,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 5120, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 2560, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1024 : i32, 2560 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1024,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 2560, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,1024,5120,bf16]>
tensor<[1,1024,2560,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 5120, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 2560, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 2560 : i32]
ends: [1 : i32, 1024 : i32, 5120 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1024,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 2560, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 9 : i32]
ends: [1 : i32, 10 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,10,128,bf16]>
tensor<[1,10,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 10 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,10,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,128,bf16]>
tensor<[1,10,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 112 : i32]
ends: [1 : i32, 10 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,10,128,bf16]>
tensor<[1,10,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 96 : i32]
ends: [1 : i32, 10 : i32, 112 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 10 : i32]
ends: [1 : i32, 11 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,11,128,bf16]>
tensor<[1,11,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 11 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,11,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,128,bf16]>
tensor<[1,11,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 112 : i32]
ends: [1 : i32, 11 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,11,128,bf16]>
tensor<[1,11,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 96 : i32]
ends: [1 : i32, 11 : i32, 112 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,128,128,192,f32]>
tensor<[1,64,128,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 128 : i32, 192 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,128,128,192,f32]>
tensor<[1,64,128,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 128 : i32, 192 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,128,128,384,f32]>
tensor<[1,64,128,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 128 : i32, 384 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,128,128,384,f32]>
tensor<[1,64,128,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 128 : i32, 384 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,128,132,192,f32]>
tensor<[1,128,128,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 128 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,128,132,384,f32]>
tensor<[1,128,128,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 128 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,128,256,192,f32]>
tensor<[1,128,128,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 256 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,128,256,192,f32]>
tensor<[1,128,128,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 256 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,12,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 11 : i32]
ends: [1 : i32, 12 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,12,128,bf16]>
tensor<[1,12,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 12 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,12,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,128,bf16]>
tensor<[1,12,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 112 : i32]
ends: [1 : i32, 12 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,128,bf16]>
tensor<[1,12,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 96 : i32]
ends: [1 : i32, 12 : i32, 112 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,12,128,bf16]>
tensor<[1,12,12,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 12 : i32, 12 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,12,128,bf16]>
tensor<[1,12,12,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 64 : i32]
ends: [1 : i32, 12 : i32, 12 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,1536,bf16]>
tensor<[1,1,1536,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 1536, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1536, 'bf16', 'dram')
begins: [0 : i32, 11 : i32, 0 : i32]
ends: [1 : i32, 12 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1536, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,1,128,bf16]>
tensor<[1,12,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 12 : i32, 1 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,12,1,128,bf16]>
tensor<[1,12,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 64 : i32]
ends: [1 : i32, 12 : i32, 1 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,132,132,192,f32]>
tensor<[1,128,132,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 132 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,132,132,384,f32]>
tensor<[1,128,132,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 132 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,13,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 12 : i32]
ends: [1 : i32, 13 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,13,128,bf16]>
tensor<[1,13,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 13 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,13,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,128,bf16]>
tensor<[1,13,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 112 : i32]
ends: [1 : i32, 13 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,13,128,bf16]>
tensor<[1,13,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 96 : i32]
ends: [1 : i32, 13 : i32, 112 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,1445,192,bf16]>
tensor<[1,100,192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (1445, 192, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (100, 192, 'bf16', 'dram')
begins: [0 : i32, 1345 : i32, 0 : i32]
ends: [1 : i32, 1445 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,100,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (100, 192, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 13 : i32]
ends: [1 : i32, 14 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,14,128,bf16]>
tensor<[1,14,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,14,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,128,bf16]>
tensor<[1,14,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 112 : i32]
ends: [1 : i32, 14 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,128,bf16]>
tensor<[1,14,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 96 : i32]
ends: [1 : i32, 14 : i32, 112 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,14,512,bf16]>
tensor<[1,7,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 14 : i32, 512 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,14,512,bf16]>
tensor<[1,7,14,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 14 : i32, 512 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,28,256,bf16]>
tensor<[1,14,14,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 28 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,28,256,bf16]>
tensor<[1,14,14,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 28 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,2,bf16]>
tensor<[1,14,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 2, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 1, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 14 : i32, 1 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,14,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 1, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,14,2,bf16]>
tensor<[1,14,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 2, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 1, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32]
ends: [1 : i32, 14 : i32, 2 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,14,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 1, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 14 : i32]
ends: [1 : i32, 15 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,15,128,bf16]>
tensor<[1,15,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 15 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,15,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,128,bf16]>
tensor<[1,15,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 112 : i32]
ends: [1 : i32, 15 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,15,128,bf16]>
tensor<[1,15,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 96 : i32]
ends: [1 : i32, 15 : i32, 112 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,16,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 15 : i32]
ends: [1 : i32, 16 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,16,24,1536,f32]>
tensor<[1,16,16,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (384, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 16 : i32, 16 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,16,16,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,16,32,768,f32]>
tensor<[1,16,16,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 16 : i32, 32 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,16,32,768,f32]>
tensor<[1,16,16,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 16 : i32, 32 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,17,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 17, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 16 : i32]
ends: [1 : i32, 17 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,185,28,28,bf16]>
tensor<[1,57,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (5180, 28, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1596 + d1 * 28 + d2, d3), memory_config: (1596, 28, 'bf16', 'dram')
begins: [0 : i32, 128 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 185 : i32, 28 : i32, 28 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,57,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1596 + d1 * 28 + d2, d3), memory_config: (1596, 28, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,185,28,28,bf16]>
tensor<[1,128,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (5180, 28, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (3584, 28, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 128 : i32, 28 : i32, 28 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (3584, 28, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,18,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 17 : i32]
ends: [1 : i32, 18 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,197,1024,bf16]>
tensor<[1,196,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 1024, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (196, 1024, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 197 : i32, 1024 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,196,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (196, 1024, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,197,768,bf16]>
tensor<[1,196,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (196, 768, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 197 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (196, 768, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,19,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 19, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 18 : i32]
ends: [1 : i32, 19 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,1,16,32,bf16]>
tensor<[1,1,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 2 : i32]
tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,1,16,32,bf16]>
tensor<[1,1,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 1 : i32]
ends: [1 : i32, 1 : i32, 16 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 2 : i32]
tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,1,16,64,bf16]>
tensor<[1,1,16,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,1,16,64,bf16]>
tensor<[1,1,16,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 32 : i32]
ends: [1 : i32, 1 : i32, 16 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,1,32,f32]>
tensor<[1,1,16,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,1,32,f32]>
tensor<[1,1,16,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 16 : i32]
ends: [1 : i32, 1 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,1,4,768,bf16]>
tensor<[1,1,4,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 4 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,1,4,768,bf16]>
tensor<[1,1,4,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 256 : i32]
ends: [1 : i32, 1 : i32, 4 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,1,4,768,bf16]>
tensor<[1,1,4,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 512 : i32]
ends: [1 : i32, 1 : i32, 4 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,1,7,64,bf16]>
tensor<[1,1,7,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 1 : i32, 7 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,1,7,64,bf16]>
tensor<[1,1,7,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 32 : i32]
ends: [1 : i32, 1 : i32, 7 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,1,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,20,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 19 : i32]
ends: [1 : i32, 20 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,21,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 20 : i32]
ends: [1 : i32, 21 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,22,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 22, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 21 : i32]
ends: [1 : i32, 22 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,23,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 23, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 22 : i32]
ends: [1 : i32, 23 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,24,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 23 : i32]
ends: [1 : i32, 24 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,24,24,1536,f32]>
tensor<[1,16,24,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (384, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 16 : i32, 24 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (384, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,24,32,128,bf16]>
tensor<[1,24,32,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 24 : i32, 32 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,24,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,24,32,128,bf16]>
tensor<[1,24,32,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 64 : i32]
ends: [1 : i32, 24 : i32, 32 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,24,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,256,10240,bf16]>
tensor<[1,256,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 10240, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 5120, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 256 : i32, 5120 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 5120, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,256,10240,bf16]>
tensor<[1,256,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 10240, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 5120, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 5120 : i32]
ends: [1 : i32, 256 : i32, 10240 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 5120, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,256,256,192,f32]>
tensor<[1,128,256,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 256 : i32, 256 : i32, 192 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,256,256,192,f32]>
tensor<[1,128,256,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 256 : i32, 256 : i32, 192 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,256,264,192,f32]>
tensor<[1,256,256,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (67584, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 256 : i32, 256 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,256,2,bf16]>
tensor<[1,256,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 2, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 1, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 256 : i32, 1 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,256,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 1, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,256,2,bf16]>
tensor<[1,256,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 2, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 1, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32]
ends: [1 : i32, 256 : i32, 2 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,256,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 1, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,25,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 24 : i32]
ends: [1 : i32, 25 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,25,2,bf16]>
tensor<[1,25,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 2, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 1, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 25 : i32, 1 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,25,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 1, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,25,2,bf16]>
tensor<[1,25,1,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 2, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 1, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32]
ends: [1 : i32, 25 : i32, 2 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,25,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 1, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,264,264,192,f32]>
tensor<[1,256,264,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (67584, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 256 : i32, 264 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (67584, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,26,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 26, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 25 : i32]
ends: [1 : i32, 26 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,27,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 27, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 26 : i32]
ends: [1 : i32, 27 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,28,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 28, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 27 : i32]
ends: [1 : i32, 28 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,28,13,128,bf16]>
tensor<[1,28,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 13 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,28,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,13,128,bf16]>
tensor<[1,28,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 64 : i32]
ends: [1 : i32, 28 : i32, 13 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,28,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,28,256,bf16]>
tensor<[1,14,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 28 : i32, 256 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,28,256,bf16]>
tensor<[1,14,28,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 28 : i32, 256 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,56,128,bf16]>
tensor<[1,28,28,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 56 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,28,56,128,bf16]>
tensor<[1,28,28,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 28 : i32, 56 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,29,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 29, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 28 : i32]
ends: [1 : i32, 29 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,2,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 1 : i32]
ends: [1 : i32, 2 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,2,12,128,bf16]>
tensor<[1,2,12,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 12 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,2,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,2,12,128,bf16]>
tensor<[1,2,12,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 64 : i32]
ends: [1 : i32, 2 : i32, 12 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,2,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,2,1,128,bf16]>
tensor<[1,2,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 2 : i32, 1 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,2,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,2,1,128,bf16]>
tensor<[1,2,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 64 : i32]
ends: [1 : i32, 2 : i32, 1 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,2,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,10,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,11,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 8 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,12,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 9 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,13,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 10 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,14,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 11 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,15,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 12 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,16,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 16, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 13 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,17,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 17, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 14 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,18,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 18, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 15 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3072,9,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,32,32,128,bf16]>
tensor<[1,32,32,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 32 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,32,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,32,32,128,bf16]>
tensor<[1,32,32,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 64 : i32]
ends: [1 : i32, 32 : i32, 32 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,32,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,32,32,768,f32]>
tensor<[1,16,32,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 32 : i32, 768 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,32,32,768,f32]>
tensor<[1,16,32,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 32 : i32, 768 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,32,36,1536,f32]>
tensor<[1,32,32,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 32 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,32,36,768,f32]>
tensor<[1,32,32,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 32 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,32,64,384,f32]>
tensor<[1,32,32,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 64 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,32,64,384,f32]>
tensor<[1,32,32,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 64 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,32,64,768,f32]>
tensor<[1,32,32,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 64 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,32,64,768,f32]>
tensor<[1,32,32,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 64 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,1536,f32]>
tensor<[1,32,36,1536,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 1536, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 36 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 1536, 'f32', 'dram')nannan
ttnn.slicetensor<[1,36,36,768,f32]>
tensor<[1,32,36,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 32 : i32, 36 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,3,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 2 : i32]
ends: [1 : i32, 3 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,3,16,16,85,bf16]>
tensor<[1,3,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 2, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 16 : i32, 16 : i32, 2 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 2, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,16,16,85,bf16]>
tensor<[1,3,16,16,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 2, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 2 : i32]
ends: [1 : i32, 3 : i32, 16 : i32, 16 : i32, 4 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 2, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,16,16,85,bf16]>
tensor<[1,3,16,16,81,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 81, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 4 : i32]
ends: [1 : i32, 3 : i32, 16 : i32, 16 : i32, 85 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,16,16,81,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 81, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,32,32,85,bf16]>
tensor<[1,3,32,32,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 2, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 32 : i32, 32 : i32, 2 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 2, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,32,32,85,bf16]>
tensor<[1,3,32,32,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 2, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 2 : i32]
ends: [1 : i32, 3 : i32, 32 : i32, 32 : i32, 4 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 2, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,32,32,85,bf16]>
tensor<[1,3,32,32,81,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 81, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 4 : i32]
ends: [1 : i32, 3 : i32, 32 : i32, 32 : i32, 85 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,32,32,81,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 81, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,64,64,85,bf16]>
tensor<[1,3,64,64,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 2, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3 : i32, 64 : i32, 64 : i32, 2 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 2, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,64,64,85,bf16]>
tensor<[1,3,64,64,2,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 2, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 2 : i32]
ends: [1 : i32, 3 : i32, 64 : i32, 64 : i32, 4 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 2, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,3,64,64,85,bf16]>
tensor<[1,3,64,64,81,bf16]>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 81, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32, 4 : i32]
ends: [1 : i32, 3 : i32, 64 : i32, 64 : i32, 85 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,3,64,64,81,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 81, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,4096,2560,bf16]>
tensor<[1,4096,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 2560, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 1280, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 4096 : i32, 1280 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 1280, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,4096,2560,bf16]>
tensor<[1,4096,1280,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 2560, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 1280, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 1280 : i32]
ends: [1 : i32, 4096 : i32, 2560 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 1280, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,46,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 46, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 45 : i32]
ends: [1 : i32, 46 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,47,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 47, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 46 : i32]
ends: [1 : i32, 47 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,48,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 47 : i32]
ends: [1 : i32, 48 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,49,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 49, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 48 : i32]
ends: [1 : i32, 49 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,4,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 3 : i32]
ends: [1 : i32, 4 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,4,13,128,bf16]>
tensor<[1,4,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 4 : i32, 13 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,4,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,4,13,128,bf16]>
tensor<[1,4,13,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 64 : i32]
ends: [1 : i32, 4 : i32, 13 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,4,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,50,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 50, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 49 : i32]
ends: [1 : i32, 50 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,51,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 51, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 50 : i32]
ends: [1 : i32, 51 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,52,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 52, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 51 : i32]
ends: [1 : i32, 52 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,53,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 53, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 52 : i32]
ends: [1 : i32, 53 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,54,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 54, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 53 : i32]
ends: [1 : i32, 54 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,55,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 55, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 54 : i32]
ends: [1 : i32, 55 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,56,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 56, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 55 : i32]
ends: [1 : i32, 56 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,56,56,128,bf16]>
tensor<[1,28,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 56 : i32, 56 : i32, 128 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,56,56,128,bf16]>
tensor<[1,28,56,128,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 56 : i32, 56 : i32, 128 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,57,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 57, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 56 : i32]
ends: [1 : i32, 57 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,58,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 58, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 57 : i32]
ends: [1 : i32, 58 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,59,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 59, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 58 : i32]
ends: [1 : i32, 59 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,5,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 4 : i32]
ends: [1 : i32, 5 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,5,16,32,bf16]>
tensor<[1,5,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 2 : i32]
tensor<[1,5,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,5,16,32,bf16]>
tensor<[1,5,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 1 : i32]
ends: [1 : i32, 5 : i32, 16 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 2 : i32]
tensor<[1,5,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,5,16,64,bf16]>
tensor<[1,5,16,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,5,16,64,bf16]>
tensor<[1,5,16,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 32 : i32]
ends: [1 : i32, 5 : i32, 16 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,5,32,f32]>
tensor<[1,5,16,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 16 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,5,32,f32]>
tensor<[1,5,16,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 32, 'f32', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 16 : i32]
ends: [1 : i32, 5 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'dram')nannan
ttnn.slicetensor<[1,5,4,768,bf16]>
tensor<[1,5,4,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 5 : i32, 4 : i32, 256 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,5,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,5,4,768,bf16]>
tensor<[1,5,4,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 256 : i32]
ends: [1 : i32, 5 : i32, 4 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,5,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,5,4,768,bf16]>
tensor<[1,5,4,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 512 : i32]
ends: [1 : i32, 5 : i32, 4 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,5,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,60,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 60, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 59 : i32]
ends: [1 : i32, 60 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,6144,10,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 10, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 10 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,10,bf16]>
tensor<[1,3072,10,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 10, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')
begins: [0 : i32, 3072 : i32, 0 : i32]
ends: [1 : i32, 6144 : i32, 10 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,11,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 11, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 11 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,11,bf16]>
tensor<[1,3072,11,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 11, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')
begins: [0 : i32, 3072 : i32, 0 : i32]
ends: [1 : i32, 6144 : i32, 11 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,12,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 12, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 12 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,12,bf16]>
tensor<[1,3072,12,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 12, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')
begins: [0 : i32, 3072 : i32, 0 : i32]
ends: [1 : i32, 6144 : i32, 12 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,13,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 13, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 13 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,13,bf16]>
tensor<[1,3072,13,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 13, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')
begins: [0 : i32, 3072 : i32, 0 : i32]
ends: [1 : i32, 6144 : i32, 13 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,14,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 14, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 14 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,14,bf16]>
tensor<[1,3072,14,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 14, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')
begins: [0 : i32, 3072 : i32, 0 : i32]
ends: [1 : i32, 6144 : i32, 14 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,15,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 15, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 15 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,15,bf16]>
tensor<[1,3072,15,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 15, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')
begins: [0 : i32, 3072 : i32, 0 : i32]
ends: [1 : i32, 6144 : i32, 15 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,6,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 6, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 6 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,6,bf16]>
tensor<[1,3072,6,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 6, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')
begins: [0 : i32, 3072 : i32, 0 : i32]
ends: [1 : i32, 6144 : i32, 6 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,7,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 7, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 7 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,7,bf16]>
tensor<[1,3072,7,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 7, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')
begins: [0 : i32, 3072 : i32, 0 : i32]
ends: [1 : i32, 6144 : i32, 7 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 8, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 8 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,8,bf16]>
tensor<[1,3072,8,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 8, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')
begins: [0 : i32, 3072 : i32, 0 : i32]
ends: [1 : i32, 6144 : i32, 8 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,9,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 9, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 3072 : i32, 9 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6144,9,bf16]>
tensor<[1,3072,9,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 9, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')
begins: [0 : i32, 3072 : i32, 0 : i32]
ends: [1 : i32, 6144 : i32, 9 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,61,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 61, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 60 : i32]
ends: [1 : i32, 61 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.slicetensor<[1,62,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 62, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 61 : i32]
ends: [1 : i32, 62 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,63,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 63, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 62 : i32]
ends: [1 : i32, 63 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,64,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 63 : i32]
ends: [1 : i32, 64 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,64,10240,bf16]>
tensor<[1,64,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 10240, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 5120, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 5120 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 5120, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,64,10240,bf16]>
tensor<[1,64,5120,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 10240, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 5120, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 5120 : i32]
ends: [1 : i32, 64 : i32, 10240 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 5120, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,64,128,192,f32]>
tensor<[1,64,64,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 128 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,64,128,192,f32]>
tensor<[1,64,64,192,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 128 : i32, 192 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'dram')nannan
ttnn.slicetensor<[1,64,128,384,f32]>
tensor<[1,64,64,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 128 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,64,128,384,f32]>
tensor<[1,64,64,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 128 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,64,64,384,f32]>
tensor<[1,32,64,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 64 : i32, 384 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,64,64,384,f32]>
tensor<[1,32,64,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 64 : i32, 384 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,64,64,768,f32]>
tensor<[1,32,64,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 64 : i32, 768 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,64,64,768,f32]>
tensor<[1,32,64,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')
begins: [0 : i32, 1 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 64 : i32, 768 : i32]
step: [1 : i32, 2 : i32, 1 : i32, 1 : i32]
tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,64,72,384,f32]>
tensor<[1,64,64,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 64 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,64,72,768,f32]>
tensor<[1,64,64,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 64 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,65,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 65, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 64 : i32]
ends: [1 : i32, 65 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,66,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 66, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 65 : i32]
ends: [1 : i32, 66 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,67,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 67, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 66 : i32]
ends: [1 : i32, 67 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,68,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 68, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 67 : i32]
ends: [1 : i32, 68 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,69,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 69, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 68 : i32]
ends: [1 : i32, 69 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,6,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 5 : i32]
ends: [1 : i32, 6 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,6,128,bf16]>
tensor<[1,6,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 6 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6,128,bf16]>
tensor<[1,6,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 112 : i32]
ends: [1 : i32, 6 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,6,128,bf16]>
tensor<[1,6,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 96 : i32]
ends: [1 : i32, 6 : i32, 112 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,70,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 70, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 69 : i32]
ends: [1 : i32, 70 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,71,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 71, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 70 : i32]
ends: [1 : i32, 71 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,71,7,64,bf16]>
tensor<[1,71,7,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 71 : i32, 7 : i32, 32 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,71,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,71,7,64,bf16]>
tensor<[1,71,7,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 32, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 32 : i32]
ends: [1 : i32, 71 : i32, 7 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,71,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 32, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,72,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 71 : i32]
ends: [1 : i32, 72 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,72,72,384,f32]>
tensor<[1,64,72,384,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 384, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 72 : i32, 384 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 384, 'f32', 'dram')nannan
ttnn.slicetensor<[1,72,72,768,f32]>
tensor<[1,64,72,768,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 768, 'f32', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 64 : i32, 72 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 768, 'f32', 'dram')nannan
ttnn.slicetensor<[1,73,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 73, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 72 : i32]
ends: [1 : i32, 73 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,74,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 74, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 73 : i32]
ends: [1 : i32, 74 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,75,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 75, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 74 : i32]
ends: [1 : i32, 75 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,76,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 76, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 75 : i32]
ends: [1 : i32, 76 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,77,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 77, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 76 : i32]
ends: [1 : i32, 77 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,78,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 78, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 77 : i32]
ends: [1 : i32, 78 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,79,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 79, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 78 : i32]
ends: [1 : i32, 79 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,7,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 6 : i32]
ends: [1 : i32, 7 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,7,128,bf16]>
tensor<[1,7,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,7,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,128,bf16]>
tensor<[1,7,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 112 : i32]
ends: [1 : i32, 7 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,128,bf16]>
tensor<[1,7,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 96 : i32]
ends: [1 : i32, 7 : i32, 112 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,14,512,bf16]>
tensor<[1,7,7,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 14 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,14,512,bf16]>
tensor<[1,7,7,512,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 1 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 14 : i32, 512 : i32]
step: [1 : i32, 1 : i32, 2 : i32, 1 : i32]
tensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,2304,bf16]>
tensor<[1,7,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 768 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,2304,bf16]>
tensor<[1,7,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 1536 : i32]
ends: [1 : i32, 7 : i32, 2304 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,2304,bf16]>
tensor<[1,7,768,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 768 : i32]
ends: [1 : i32, 7 : i32, 1536 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,7,73,64,bf16]>
tensor<[1,7,71,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 511 + d1 * 73 + d2, d3), memory_config: (511, 64, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 71 + d2, d3), memory_config: (497, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 7 : i32, 71 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,7,71,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 71 + d2, d3), memory_config: (497, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,80,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 80, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 79 : i32]
ends: [1 : i32, 80 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,81,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 81, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 80 : i32]
ends: [1 : i32, 81 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,82,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 82, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 81 : i32]
ends: [1 : i32, 82 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,83,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 83, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 82 : i32]
ends: [1 : i32, 83 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,84,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 84, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 83 : i32]
ends: [1 : i32, 84 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,85,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 85, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 84 : i32]
ends: [1 : i32, 85 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,86,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 86, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 85 : i32]
ends: [1 : i32, 86 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,87,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 87, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 86 : i32]
ends: [1 : i32, 87 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,88,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 88, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 87 : i32]
ends: [1 : i32, 88 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,89,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 89, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 88 : i32]
ends: [1 : i32, 89 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,8,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 7 : i32]
ends: [1 : i32, 8 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,8,128,bf16]>
tensor<[1,8,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,8,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,128,bf16]>
tensor<[1,8,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 112 : i32]
ends: [1 : i32, 8 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,128,bf16]>
tensor<[1,8,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 96 : i32]
ends: [1 : i32, 8 : i32, 112 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,32,128,bf16]>
tensor<[1,8,32,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 8 : i32, 32 : i32, 64 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,8,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,8,32,128,bf16]>
tensor<[1,8,32,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32, 64 : i32]
ends: [1 : i32, 8 : i32, 32 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32, 1 : i32]
tensor<[1,8,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,90,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 90, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 89 : i32]
ends: [1 : i32, 90 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,91,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 91, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 90 : i32]
ends: [1 : i32, 91 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,92,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 92, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 91 : i32]
ends: [1 : i32, 92 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,93,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 93, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 92 : i32]
ends: [1 : i32, 93 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,94,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 94, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 93 : i32]
ends: [1 : i32, 94 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,95,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 95, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 94 : i32]
ends: [1 : i32, 95 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,96,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 95 : i32]
ends: [1 : i32, 96 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,97,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 97, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 96 : i32]
ends: [1 : i32, 97 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,98,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 97 : i32]
ends: [1 : i32, 98 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,99,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 99, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 98 : i32]
ends: [1 : i32, 99 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,9,ui32]>
tensor<[1,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')
begins: [0 : i32, 8 : i32]
ends: [1 : i32, 9 : i32]
step: [1 : i32, 1 : i32]
tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[1,9,128,bf16]>
tensor<[1,9,96,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 96, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 0 : i32]
ends: [1 : i32, 9 : i32, 96 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,9,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 96, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,128,bf16]>
tensor<[1,9,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 112 : i32]
ends: [1 : i32, 9 : i32, 128 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[1,9,128,bf16]>
tensor<[1,9,16,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')
begins: [0 : i32, 0 : i32, 96 : i32]
ends: [1 : i32, 9 : i32, 112 : i32]
step: [1 : i32, 1 : i32, 1 : i32]
tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.slicetensor<[21,28,bf16]>
tensor<[21,3,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 3, 'bf16', 'dram')
begins: [0 : i32, 25 : i32]
ends: [21 : i32, 28 : i32]
step: [1 : i32, 1 : i32]
tensor<[21,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 3, 'bf16', 'dram')nannan
ttnn.slicetensor<[21,28,bf16]>
tensor<[21,4,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 4, 'bf16', 'dram')
begins: [0 : i32, 21 : i32]
ends: [21 : i32, 25 : i32]
step: [1 : i32, 1 : i32]
tensor<[21,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 4, 'bf16', 'dram')nannan
ttnn.slicetensor<[21,28,bf16]>
tensor<[21,21,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 21, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [21 : i32, 21 : i32]
step: [1 : i32, 1 : i32]
tensor<[21,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 21, 'bf16', 'dram')nannan
ttnn.slicetensor<[28,28,bf16]>
tensor<[3,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'dram')
begins: [25 : i32, 0 : i32]
ends: [28 : i32, 28 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'dram')nannan
ttnn.slicetensor<[28,28,bf16]>
tensor<[4,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'dram')
begins: [21 : i32, 0 : i32]
ends: [25 : i32, 28 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'dram')nannan
ttnn.slicetensor<[28,28,bf16]>
tensor<[21,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [21 : i32, 28 : i32]
step: [1 : i32, 1 : i32]
tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'dram')nannan
ttnn.slicetensor<[3234,4,f32]>
tensor<[3234,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'dram')
begins: [0 : i32, 0 : i32]
ends: [3234 : i32, 4 : i32]
step: [1 : i32, 2 : i32]
tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'dram')nannan
ttnn.slicetensor<[3234,4,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')
begins: [0 : i32, 0 : i32]
ends: [3234 : i32, 4 : i32]
step: [1 : i32, 4 : i32]
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.slicetensor<[3234,4,f32]>
tensor<[3234,2,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'dram')
begins: [0 : i32, 1 : i32]
ends: [3234 : i32, 4 : i32]
step: [1 : i32, 2 : i32]
tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'dram')nannan
ttnn.slicetensor<[3234,4,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')
begins: [0 : i32, 1 : i32]
ends: [3234 : i32, 4 : i32]
step: [1 : i32, 4 : i32]
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.slicetensor<[3234,4,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')
begins: [0 : i32, 2 : i32]
ends: [3234 : i32, 4 : i32]
step: [1 : i32, 4 : i32]
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.slicetensor<[3234,4,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')
begins: [0 : i32, 3 : i32]
ends: [3234 : i32, 4 : i32]
step: [1 : i32, 4 : i32]
tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'dram')nannan
ttnn.slicetensor<[3,14,bf16]>
tensor<[3,3,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')
begins: [0 : i32, 11 : i32]
ends: [3 : i32, 14 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,14,bf16]>
tensor<[3,4,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')
begins: [0 : i32, 7 : i32]
ends: [3 : i32, 11 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,14,bf16]>
tensor<[3,7,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 7, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [3 : i32, 7 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 7, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,28,bf16]>
tensor<[3,3,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')
begins: [0 : i32, 25 : i32]
ends: [3 : i32, 28 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,28,bf16]>
tensor<[3,4,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')
begins: [0 : i32, 21 : i32]
ends: [3 : i32, 25 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,28,bf16]>
tensor<[3,21,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 21, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [3 : i32, 21 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 21, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,56,bf16]>
tensor<[3,3,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')
begins: [0 : i32, 53 : i32]
ends: [3 : i32, 56 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,56,bf16]>
tensor<[3,4,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')
begins: [0 : i32, 49 : i32]
ends: [3 : i32, 53 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')nannan
ttnn.slicetensor<[3,56,bf16]>
tensor<[3,49,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 49, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [3 : i32, 49 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 49, 'bf16', 'dram')nannan
ttnn.slicetensor<[45,ui32]>
tensor<[1,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')
begins: [44 : i32]
ends: [45 : i32]
step: [1 : i32]
tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[49,56,bf16]>
tensor<[49,3,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 3, 'bf16', 'dram')
begins: [0 : i32, 53 : i32]
ends: [49 : i32, 56 : i32]
step: [1 : i32, 1 : i32]
tensor<[49,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 3, 'bf16', 'dram')nannan
ttnn.slicetensor<[49,56,bf16]>
tensor<[49,4,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 4, 'bf16', 'dram')
begins: [0 : i32, 49 : i32]
ends: [49 : i32, 53 : i32]
step: [1 : i32, 1 : i32]
tensor<[49,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 4, 'bf16', 'dram')nannan
ttnn.slicetensor<[49,56,bf16]>
tensor<[49,49,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 49, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [49 : i32, 49 : i32]
step: [1 : i32, 1 : i32]
tensor<[49,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 49, 'bf16', 'dram')nannan
ttnn.slicetensor<[4,14,bf16]>
tensor<[4,3,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')
begins: [0 : i32, 11 : i32]
ends: [4 : i32, 14 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')nannan
ttnn.slicetensor<[4,14,bf16]>
tensor<[4,4,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')
begins: [0 : i32, 7 : i32]
ends: [4 : i32, 11 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')nannan
ttnn.slicetensor<[4,14,bf16]>
tensor<[4,7,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 7, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [4 : i32, 7 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 7, 'bf16', 'dram')nannan
ttnn.slicetensor<[4,28,bf16]>
tensor<[4,3,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')
begins: [0 : i32, 25 : i32]
ends: [4 : i32, 28 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')nannan
ttnn.slicetensor<[4,28,bf16]>
tensor<[4,4,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')
begins: [0 : i32, 21 : i32]
ends: [4 : i32, 25 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')nannan
ttnn.slicetensor<[4,28,bf16]>
tensor<[4,21,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 21, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [4 : i32, 21 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 21, 'bf16', 'dram')nannan
ttnn.slicetensor<[4,56,bf16]>
tensor<[4,3,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')
begins: [0 : i32, 53 : i32]
ends: [4 : i32, 56 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')nannan
ttnn.slicetensor<[4,56,bf16]>
tensor<[4,4,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')
begins: [0 : i32, 49 : i32]
ends: [4 : i32, 53 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')nannan
ttnn.slicetensor<[4,56,bf16]>
tensor<[4,49,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 49, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [4 : i32, 49 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 49, 'bf16', 'dram')nannan
ttnn.slicetensor<[56,56,bf16]>
tensor<[3,56,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'dram')
begins: [53 : i32, 0 : i32]
ends: [56 : i32, 56 : i32]
step: [1 : i32, 1 : i32]
tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'dram')nannan
ttnn.slicetensor<[56,56,bf16]>
tensor<[4,56,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'dram')
begins: [49 : i32, 0 : i32]
ends: [53 : i32, 56 : i32]
step: [1 : i32, 1 : i32]
tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'dram')nannan
ttnn.slicetensor<[56,56,bf16]>
tensor<[49,56,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [49 : i32, 56 : i32]
step: [1 : i32, 1 : i32]
tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'dram')nannan
ttnn.slicetensor<[5,ui32]>
tensor<[1,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')
begins: [4 : i32]
ends: [5 : i32]
step: [1 : i32]
tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.slicetensor<[7,14,bf16]>
tensor<[7,3,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 3, 'bf16', 'dram')
begins: [0 : i32, 11 : i32]
ends: [7 : i32, 14 : i32]
step: [1 : i32, 1 : i32]
tensor<[7,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 3, 'bf16', 'dram')nannan
ttnn.slicetensor<[7,14,bf16]>
tensor<[7,4,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 4, 'bf16', 'dram')
begins: [0 : i32, 7 : i32]
ends: [7 : i32, 11 : i32]
step: [1 : i32, 1 : i32]
tensor<[7,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 4, 'bf16', 'dram')nannan
ttnn.slicetensor<[7,14,bf16]>
tensor<[7,7,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 7, 'bf16', 'dram')
begins: [0 : i32, 0 : i32]
ends: [7 : i32, 7 : i32]
step: [1 : i32, 1 : i32]
tensor<[7,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 7, 'bf16', 'dram')nannan
ttnn.slicetensor<[8,2,ui32]>
tensor<[8,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'ui32', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'ui32', 'dram')
begins: [0 : i32, 0 : i32]
ends: [8 : i32, 1 : i32]
step: [1 : i32, 1 : i32]
tensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'ui32', 'dram')nannan

ttnn.subtract

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.subtracttensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[4,16,1,1,f32]>
tensor<[4,16,1,1,f32]>
tensor<[4,16,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[121,6,144,144,f32]>
tensor<[121,6,144,144,f32]>
tensor<[121,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[16,8,49,49,f32]>
tensor<[16,8,49,49,f32]>
tensor<[16,8,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[16,8,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,10,10,f32]>
tensor<[1,12,10,10,f32]>
tensor<[1,12,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,10,f32]>
tensor<[1,12,1,10,f32]>
tensor<[1,12,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,11,f32]>
tensor<[1,12,1,11,f32]>
tensor<[1,12,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,12,f32]>
tensor<[1,12,1,12,f32]>
tensor<[1,12,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,1,f32]>
tensor<[1,12,1,1,f32]>
tensor<[1,12,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,2,f32]>
tensor<[1,12,1,2,f32]>
tensor<[1,12,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,3,f32]>
tensor<[1,12,1,3,f32]>
tensor<[1,12,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,46,f32]>
tensor<[1,12,1,46,f32]>
tensor<[1,12,1,46,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,47,f32]>
tensor<[1,12,1,47,f32]>
tensor<[1,12,1,47,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,48,f32]>
tensor<[1,12,1,48,f32]>
tensor<[1,12,1,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,49,f32]>
tensor<[1,12,1,49,f32]>
tensor<[1,12,1,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,4,f32]>
tensor<[1,12,1,4,f32]>
tensor<[1,12,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,50,f32]>
tensor<[1,12,1,50,f32]>
tensor<[1,12,1,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,51,f32]>
tensor<[1,12,1,51,f32]>
tensor<[1,12,1,51,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,52,f32]>
tensor<[1,12,1,52,f32]>
tensor<[1,12,1,52,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,53,f32]>
tensor<[1,12,1,53,f32]>
tensor<[1,12,1,53,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,54,f32]>
tensor<[1,12,1,54,f32]>
tensor<[1,12,1,54,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,55,f32]>
tensor<[1,12,1,55,f32]>
tensor<[1,12,1,55,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,56,f32]>
tensor<[1,12,1,56,f32]>
tensor<[1,12,1,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,57,f32]>
tensor<[1,12,1,57,f32]>
tensor<[1,12,1,57,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,58,f32]>
tensor<[1,12,1,58,f32]>
tensor<[1,12,1,58,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,59,f32]>
tensor<[1,12,1,59,f32]>
tensor<[1,12,1,59,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,5,f32]>
tensor<[1,12,1,5,f32]>
tensor<[1,12,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,60,f32]>
tensor<[1,12,1,60,f32]>
tensor<[1,12,1,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,61,f32]>
tensor<[1,12,1,61,f32]>
tensor<[1,12,1,61,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,62,f32]>
tensor<[1,12,1,62,f32]>
tensor<[1,12,1,62,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,63,f32]>
tensor<[1,12,1,63,f32]>
tensor<[1,12,1,63,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,64,f32]>
tensor<[1,12,1,64,f32]>
tensor<[1,12,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,65,f32]>
tensor<[1,12,1,65,f32]>
tensor<[1,12,1,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,66,f32]>
tensor<[1,12,1,66,f32]>
tensor<[1,12,1,66,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,67,f32]>
tensor<[1,12,1,67,f32]>
tensor<[1,12,1,67,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,68,f32]>
tensor<[1,12,1,68,f32]>
tensor<[1,12,1,68,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,69,f32]>
tensor<[1,12,1,69,f32]>
tensor<[1,12,1,69,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,6,f32]>
tensor<[1,12,1,6,f32]>
tensor<[1,12,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,70,f32]>
tensor<[1,12,1,70,f32]>
tensor<[1,12,1,70,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,71,f32]>
tensor<[1,12,1,71,f32]>
tensor<[1,12,1,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,72,f32]>
tensor<[1,12,1,72,f32]>
tensor<[1,12,1,72,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,73,f32]>
tensor<[1,12,1,73,f32]>
tensor<[1,12,1,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,74,f32]>
tensor<[1,12,1,74,f32]>
tensor<[1,12,1,74,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,75,f32]>
tensor<[1,12,1,75,f32]>
tensor<[1,12,1,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,76,f32]>
tensor<[1,12,1,76,f32]>
tensor<[1,12,1,76,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,77,f32]>
tensor<[1,12,1,77,f32]>
tensor<[1,12,1,77,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,78,f32]>
tensor<[1,12,1,78,f32]>
tensor<[1,12,1,78,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,79,f32]>
tensor<[1,12,1,79,f32]>
tensor<[1,12,1,79,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,7,f32]>
tensor<[1,12,1,7,f32]>
tensor<[1,12,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,80,f32]>
tensor<[1,12,1,80,f32]>
tensor<[1,12,1,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,81,f32]>
tensor<[1,12,1,81,f32]>
tensor<[1,12,1,81,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,82,f32]>
tensor<[1,12,1,82,f32]>
tensor<[1,12,1,82,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,83,f32]>
tensor<[1,12,1,83,f32]>
tensor<[1,12,1,83,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,84,f32]>
tensor<[1,12,1,84,f32]>
tensor<[1,12,1,84,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,85,f32]>
tensor<[1,12,1,85,f32]>
tensor<[1,12,1,85,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,86,f32]>
tensor<[1,12,1,86,f32]>
tensor<[1,12,1,86,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,87,f32]>
tensor<[1,12,1,87,f32]>
tensor<[1,12,1,87,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,88,f32]>
tensor<[1,12,1,88,f32]>
tensor<[1,12,1,88,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,89,f32]>
tensor<[1,12,1,89,f32]>
tensor<[1,12,1,89,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,8,f32]>
tensor<[1,12,1,8,f32]>
tensor<[1,12,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,90,f32]>
tensor<[1,12,1,90,f32]>
tensor<[1,12,1,90,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,91,f32]>
tensor<[1,12,1,91,f32]>
tensor<[1,12,1,91,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,92,f32]>
tensor<[1,12,1,92,f32]>
tensor<[1,12,1,92,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,93,f32]>
tensor<[1,12,1,93,f32]>
tensor<[1,12,1,93,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,94,f32]>
tensor<[1,12,1,94,f32]>
tensor<[1,12,1,94,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,95,f32]>
tensor<[1,12,1,95,f32]>
tensor<[1,12,1,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,96,f32]>
tensor<[1,12,1,96,f32]>
tensor<[1,12,1,96,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,97,f32]>
tensor<[1,12,1,97,f32]>
tensor<[1,12,1,97,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,98,f32]>
tensor<[1,12,1,98,f32]>
tensor<[1,12,1,98,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,99,f32]>
tensor<[1,12,1,99,f32]>
tensor<[1,12,1,99,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,1,9,f32]>
tensor<[1,12,1,9,f32]>
tensor<[1,12,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,201,201,f32]>
tensor<[1,12,201,201,f32]>
tensor<[1,12,201,201,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,201,201,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,257,257,f32]>
tensor<[1,12,257,257,f32]>
tensor<[1,12,257,257,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,257,257,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,45,45,f32]>
tensor<[1,12,45,45,f32]>
tensor<[1,12,45,45,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,8,8,f32]>
tensor<[1,12,8,8,f32]>
tensor<[1,12,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,10,10,f32]>
tensor<[1,16,10,10,f32]>
tensor<[1,16,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,197,197,f32]>
tensor<[1,16,197,197,f32]>
tensor<[1,16,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,1,f32]>
tensor<[1,16,1,1,f32]>
tensor<[1,16,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,2,f32]>
tensor<[1,16,1,2,f32]>
tensor<[1,16,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,3,f32]>
tensor<[1,16,1,3,f32]>
tensor<[1,16,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,4,f32]>
tensor<[1,16,1,4,f32]>
tensor<[1,16,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,5,f32]>
tensor<[1,16,1,5,f32]>
tensor<[1,16,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,6,f32]>
tensor<[1,16,1,6,f32]>
tensor<[1,16,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,32,32,f32]>
tensor<[1,16,32,32,f32]>
tensor<[1,16,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,5,5,f32]>
tensor<[1,16,5,5,f32]>
tensor<[1,16,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1,16384,256,f32]>
tensor<[1,1,16384,256,f32]>
tensor<[1,1,16384,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,16384,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1,19200,300,f32]>
tensor<[1,1,19200,300,f32]>
tensor<[1,1,19200,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,19200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,27,257,f32]>
tensor<[1,27,257,f32]>
tensor<[1,27,257,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,2,4096,256,f32]>
tensor<[1,2,4096,256,f32]>
tensor<[1,2,4096,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,4096,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,2,4800,300,f32]>
tensor<[1,2,4800,300,f32]>
tensor<[1,2,4800,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2,4800,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,49,49,f32]>
tensor<[1,32,49,49,f32]>
tensor<[1,32,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,50257,f32]>
tensor<[1,50257,f32]>
tensor<[1,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,5,1024,256,f32]>
tensor<[1,5,1024,256,f32]>
tensor<[1,5,1024,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,5,1200,300,f32]>
tensor<[1,5,1200,300,f32]>
tensor<[1,5,1200,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,15,15,f32]>
tensor<[1,6,15,15,f32]>
tensor<[1,6,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,10,f32]>
tensor<[1,6,1,10,f32]>
tensor<[1,6,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,11,f32]>
tensor<[1,6,1,11,f32]>
tensor<[1,6,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,12,f32]>
tensor<[1,6,1,12,f32]>
tensor<[1,6,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,13,f32]>
tensor<[1,6,1,13,f32]>
tensor<[1,6,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,14,f32]>
tensor<[1,6,1,14,f32]>
tensor<[1,6,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,15,f32]>
tensor<[1,6,1,15,f32]>
tensor<[1,6,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,16,f32]>
tensor<[1,6,1,16,f32]>
tensor<[1,6,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,17,f32]>
tensor<[1,6,1,17,f32]>
tensor<[1,6,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,18,f32]>
tensor<[1,6,1,18,f32]>
tensor<[1,6,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,19,f32]>
tensor<[1,6,1,19,f32]>
tensor<[1,6,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,1,f32]>
tensor<[1,6,1,1,f32]>
tensor<[1,6,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,20,f32]>
tensor<[1,6,1,20,f32]>
tensor<[1,6,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,2,f32]>
tensor<[1,6,1,2,f32]>
tensor<[1,6,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,3,f32]>
tensor<[1,6,1,3,f32]>
tensor<[1,6,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,4,f32]>
tensor<[1,6,1,4,f32]>
tensor<[1,6,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,5,f32]>
tensor<[1,6,1,5,f32]>
tensor<[1,6,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,6,f32]>
tensor<[1,6,1,6,f32]>
tensor<[1,6,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,7,f32]>
tensor<[1,6,1,7,f32]>
tensor<[1,6,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,8,f32]>
tensor<[1,6,1,8,f32]>
tensor<[1,6,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1,9,f32]>
tensor<[1,6,1,9,f32]>
tensor<[1,6,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,10,10,f32]>
tensor<[1,8,10,10,f32]>
tensor<[1,8,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,10,f32]>
tensor<[1,8,1,10,f32]>
tensor<[1,8,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,11,f32]>
tensor<[1,8,1,11,f32]>
tensor<[1,8,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,12,f32]>
tensor<[1,8,1,12,f32]>
tensor<[1,8,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,13,f32]>
tensor<[1,8,1,13,f32]>
tensor<[1,8,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,14,f32]>
tensor<[1,8,1,14,f32]>
tensor<[1,8,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,15,f32]>
tensor<[1,8,1,15,f32]>
tensor<[1,8,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,16,f32]>
tensor<[1,8,1,16,f32]>
tensor<[1,8,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,17,f32]>
tensor<[1,8,1,17,f32]>
tensor<[1,8,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,18,f32]>
tensor<[1,8,1,18,f32]>
tensor<[1,8,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,19,f32]>
tensor<[1,8,1,19,f32]>
tensor<[1,8,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,1,f32]>
tensor<[1,8,1,1,f32]>
tensor<[1,8,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,20,f32]>
tensor<[1,8,1,20,f32]>
tensor<[1,8,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,2,f32]>
tensor<[1,8,1,2,f32]>
tensor<[1,8,1,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,3,f32]>
tensor<[1,8,1,3,f32]>
tensor<[1,8,1,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,4,f32]>
tensor<[1,8,1,4,f32]>
tensor<[1,8,1,4,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,5,f32]>
tensor<[1,8,1,5,f32]>
tensor<[1,8,1,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,6,f32]>
tensor<[1,8,1,6,f32]>
tensor<[1,8,1,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,7,f32]>
tensor<[1,8,1,7,f32]>
tensor<[1,8,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,8,f32]>
tensor<[1,8,1,8,f32]>
tensor<[1,8,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,1,9,f32]>
tensor<[1,8,1,9,f32]>
tensor<[1,8,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,2048,256,f32]>
tensor<[1,8,2048,256,f32]>
tensor<[1,8,2048,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,2048,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,256,2048,f32]>
tensor<[1,8,256,2048,f32]>
tensor<[1,8,256,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,300,300,f32]>
tensor<[1,8,300,300,f32]>
tensor<[1,8,300,300,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,300,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[2,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
tensor<[2,12,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[36,12,144,144,f32]>
tensor<[36,12,144,144,f32]>
tensor<[36,12,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[36,24,144,144,f32]>
tensor<[36,24,144,144,f32]>
tensor<[36,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[484,6,144,144,f32]>
tensor<[484,6,144,144,f32]>
tensor<[484,6,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[4,16,49,49,f32]>
tensor<[4,16,49,49,f32]>
tensor<[4,16,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,16,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[4,48,144,144,f32]>
tensor<[4,48,144,144,f32]>
tensor<[4,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[64,1,13,f32]>
tensor<[64,1,13,f32]>
tensor<[64,1,13,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[64,4,49,49,f32]>
tensor<[64,4,49,49,f32]>
tensor<[64,4,49,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[64,4,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[8,100,100,f32]>
tensor<[8,100,100,f32]>
tensor<[8,100,100,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,100,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[8,100,920,f32]>
tensor<[8,100,920,f32]>
tensor<[8,100,920,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,100,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[8,920,920,f32]>
tensor<[8,920,920,f32]>
tensor<[8,920,920,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,920,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[9,24,144,144,f32]>
tensor<[9,24,144,144,f32]>
tensor<[9,24,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[9,48,144,144,f32]>
tensor<[9,48,144,144,f32]>
tensor<[9,48,144,144,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,ui32]>
tensor<[1,192,ui32]>
tensor<[1,192,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[12,ui32]>
tensor<[12,ui32]>
tensor<[12,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,ui32]>
tensor<[1,ui32]>
tensor<[1,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,100,14,14,f32]>
tensor<[1,100,14,14,f32]>
tensor<[1,100,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,10,10,f32]>
tensor<[1,1024,10,10,f32]>
tensor<[1,1024,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,14,14,f32]>
tensor<[1,1024,14,14,f32]>
tensor<[1,1024,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,16,16,f32]>
tensor<[1,1024,16,16,f32]>
tensor<[1,1024,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,19,19,f32]>
tensor<[1,1024,19,19,f32]>
tensor<[1,1024,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,28,28,f32]>
tensor<[1,1024,28,28,f32]>
tensor<[1,1024,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,7,7,f32]>
tensor<[1,1024,7,7,f32]>
tensor<[1,1024,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1056,14,14,f32]>
tensor<[1,1056,14,14,f32]>
tensor<[1,1056,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1056,7,7,f32]>
tensor<[1,1056,7,7,f32]>
tensor<[1,1056,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1088,14,14,f32]>
tensor<[1,1088,14,14,f32]>
tensor<[1,1088,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1088,7,7,f32]>
tensor<[1,1088,7,7,f32]>
tensor<[1,1088,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,10,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,10,f32]>
tensor<[1,10,f32]>
tensor<[1,10,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1120,14,14,f32]>
tensor<[1,1120,14,14,f32]>
tensor<[1,1120,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1120,7,7,f32]>
tensor<[1,1120,7,7,f32]>
tensor<[1,1120,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,112,14,14,f32]>
tensor<[1,112,14,14,f32]>
tensor<[1,112,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,112,15,15,f32]>
tensor<[1,112,15,15,f32]>
tensor<[1,112,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,112,20,20,f32]>
tensor<[1,112,20,20,f32]>
tensor<[1,112,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 20 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,112,24,24,f32]>
tensor<[1,112,24,24,f32]>
tensor<[1,112,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,112,7,7,f32]>
tensor<[1,112,7,7,f32]>
tensor<[1,112,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1152,14,14,f32]>
tensor<[1,1152,14,14,f32]>
tensor<[1,1152,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1152,7,7,f32]>
tensor<[1,1152,7,7,f32]>
tensor<[1,1152,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1152,8,8,f32]>
tensor<[1,1152,8,8,f32]>
tensor<[1,1152,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,116,14,14,f32]>
tensor<[1,116,14,14,f32]>
tensor<[1,116,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1184,14,14,f32]>
tensor<[1,1184,14,14,f32]>
tensor<[1,1184,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1184,7,7,f32]>
tensor<[1,1184,7,7,f32]>
tensor<[1,1184,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,11,ui32]>
tensor<[1,11,ui32]>
tensor<[1,11,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,120,14,14,f32]>
tensor<[1,120,14,14,f32]>
tensor<[1,120,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,120,17,17,f32]>
tensor<[1,120,17,17,f32]>
tensor<[1,120,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,120,28,28,f32]>
tensor<[1,120,28,28,f32]>
tensor<[1,120,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,120,40,40,f32]>
tensor<[1,120,40,40,f32]>
tensor<[1,120,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1216,14,14,f32]>
tensor<[1,1216,14,14,f32]>
tensor<[1,1216,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1216,7,7,f32]>
tensor<[1,1216,7,7,f32]>
tensor<[1,1216,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1248,14,14,f32]>
tensor<[1,1248,14,14,f32]>
tensor<[1,1248,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1248,7,7,f32]>
tensor<[1,1248,7,7,f32]>
tensor<[1,1248,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1248,9,9,f32]>
tensor<[1,1248,9,9,f32]>
tensor<[1,1248,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1280,10,10,f32]>
tensor<[1,1280,10,10,f32]>
tensor<[1,1280,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1280,12,12,f32]>
tensor<[1,1280,12,12,f32]>
tensor<[1,1280,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1280,14,14,f32]>
tensor<[1,1280,14,14,f32]>
tensor<[1,1280,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1280,7,7,f32]>
tensor<[1,1280,7,7,f32]>
tensor<[1,1280,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1280,8,8,f32]>
tensor<[1,1280,8,8,f32]>
tensor<[1,1280,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1280,9,9,f32]>
tensor<[1,1280,9,9,f32]>
tensor<[1,1280,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,112,112,f32]>
tensor<[1,128,112,112,f32]>
tensor<[1,128,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,128,128,f32]>
tensor<[1,128,128,128,f32]>
tensor<[1,128,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,14,14,f32]>
tensor<[1,128,14,14,f32]>
tensor<[1,128,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,150,150,f32]>
tensor<[1,128,150,150,f32]>
tensor<[1,128,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,17,17,f32]>
tensor<[1,128,17,17,f32]>
tensor<[1,128,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,1,1,f32]>
tensor<[1,128,1,1,f32]>
tensor<[1,128,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,28,28,f32]>
tensor<[1,128,28,28,f32]>
tensor<[1,128,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,2,2,f32]>
tensor<[1,128,2,2,f32]>
tensor<[1,128,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 2 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,32,32,f32]>
tensor<[1,128,32,32,f32]>
tensor<[1,128,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,3,3,f32]>
tensor<[1,128,3,3,f32]>
tensor<[1,128,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 3 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,56,56,f32]>
tensor<[1,128,56,56,f32]>
tensor<[1,128,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,5,5,f32]>
tensor<[1,128,5,5,f32]>
tensor<[1,128,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 5 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,64,64,f32]>
tensor<[1,128,64,64,f32]>
tensor<[1,128,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,75,75,f32]>
tensor<[1,128,75,75,f32]>
tensor<[1,128,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,128,7,7,f32]>
tensor<[1,128,7,7,f32]>
tensor<[1,128,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,ui32]>
tensor<[1,12,ui32]>
tensor<[1,12,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,56,56,f32]>
tensor<[1,12,56,56,f32]>
tensor<[1,12,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1312,14,14,f32]>
tensor<[1,1312,14,14,f32]>
tensor<[1,1312,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1312,7,7,f32]>
tensor<[1,1312,7,7,f32]>
tensor<[1,1312,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1344,14,14,f32]>
tensor<[1,1344,14,14,f32]>
tensor<[1,1344,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1344,28,28,f32]>
tensor<[1,1344,28,28,f32]>
tensor<[1,1344,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1344,7,7,f32]>
tensor<[1,1344,7,7,f32]>
tensor<[1,1344,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,134,28,28,f32]>
tensor<[1,134,28,28,f32]>
tensor<[1,134,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,136,19,19,f32]>
tensor<[1,136,19,19,f32]>
tensor<[1,136,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1376,14,14,f32]>
tensor<[1,1376,14,14,f32]>
tensor<[1,1376,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1376,7,7,f32]>
tensor<[1,1376,7,7,f32]>
tensor<[1,1376,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1392,10,10,f32]>
tensor<[1,1392,10,10,f32]>
tensor<[1,1392,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1392,14,14,f32]>
tensor<[1,1392,14,14,f32]>
tensor<[1,1392,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1392,28,28,f32]>
tensor<[1,1392,28,28,f32]>
tensor<[1,1392,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,13,ui32]>
tensor<[1,13,ui32]>
tensor<[1,13,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,1408,14,14,f32]>
tensor<[1,1408,14,14,f32]>
tensor<[1,1408,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1408,7,7,f32]>
tensor<[1,1408,7,7,f32]>
tensor<[1,1408,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1440,14,14,f32]>
tensor<[1,1440,14,14,f32]>
tensor<[1,1440,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1440,7,7,f32]>
tensor<[1,1440,7,7,f32]>
tensor<[1,1440,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,14,14,f32]>
tensor<[1,144,14,14,f32]>
tensor<[1,144,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,150,150,f32]>
tensor<[1,144,150,150,f32]>
tensor<[1,144,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,190,190,f32]>
tensor<[1,144,190,190,f32]>
tensor<[1,144,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,28,28,f32]>
tensor<[1,144,28,28,f32]>
tensor<[1,144,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,30,30,f32]>
tensor<[1,144,30,30,f32]>
tensor<[1,144,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,33,33,f32]>
tensor<[1,144,33,33,f32]>
tensor<[1,144,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,56,56,f32]>
tensor<[1,144,56,56,f32]>
tensor<[1,144,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,60,60,f32]>
tensor<[1,144,60,60,f32]>
tensor<[1,144,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,65,65,f32]>
tensor<[1,144,65,65,f32]>
tensor<[1,144,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,75,75,f32]>
tensor<[1,144,75,75,f32]>
tensor<[1,144,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,7,7,f32]>
tensor<[1,144,7,7,f32]>
tensor<[1,144,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,144,95,95,f32]>
tensor<[1,144,95,95,f32]>
tensor<[1,144,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1472,14,14,f32]>
tensor<[1,1472,14,14,f32]>
tensor<[1,1472,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1472,7,7,f32]>
tensor<[1,1472,7,7,f32]>
tensor<[1,1472,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,14,ui32]>
tensor<[1,14,ui32]>
tensor<[1,14,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,14,56,56,f32]>
tensor<[1,14,56,56,f32]>
tensor<[1,14,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1504,14,14,f32]>
tensor<[1,1504,14,14,f32]>
tensor<[1,1504,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1504,7,7,f32]>
tensor<[1,1504,7,7,f32]>
tensor<[1,1504,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1536,10,10,f32]>
tensor<[1,1536,10,10,f32]>
tensor<[1,1536,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1536,14,14,f32]>
tensor<[1,1536,14,14,f32]>
tensor<[1,1536,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1536,7,7,f32]>
tensor<[1,1536,7,7,f32]>
tensor<[1,1536,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1568,14,14,f32]>
tensor<[1,1568,14,14,f32]>
tensor<[1,1568,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1568,7,7,f32]>
tensor<[1,1568,7,7,f32]>
tensor<[1,1568,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,15,ui32]>
tensor<[1,15,ui32]>
tensor<[1,15,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,1600,14,14,f32]>
tensor<[1,1600,14,14,f32]>
tensor<[1,1600,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1600,7,7,f32]>
tensor<[1,1600,7,7,f32]>
tensor<[1,1600,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,160,14,14,f32]>
tensor<[1,160,14,14,f32]>
tensor<[1,160,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,160,24,24,f32]>
tensor<[1,160,24,24,f32]>
tensor<[1,160,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,160,28,28,f32]>
tensor<[1,160,28,28,f32]>
tensor<[1,160,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,160,56,56,f32]>
tensor<[1,160,56,56,f32]>
tensor<[1,160,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,160,7,7,f32]>
tensor<[1,160,7,7,f32]>
tensor<[1,160,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1632,12,12,f32]>
tensor<[1,1632,12,12,f32]>
tensor<[1,1632,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1632,14,14,f32]>
tensor<[1,1632,14,14,f32]>
tensor<[1,1632,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1632,7,7,f32]>
tensor<[1,1632,7,7,f32]>
tensor<[1,1632,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1664,14,14,f32]>
tensor<[1,1664,14,14,f32]>
tensor<[1,1664,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1664,7,7,f32]>
tensor<[1,1664,7,7,f32]>
tensor<[1,1664,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,168,28,28,f32]>
tensor<[1,168,28,28,f32]>
tensor<[1,168,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1696,14,14,f32]>
tensor<[1,1696,14,14,f32]>
tensor<[1,1696,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1696,7,7,f32]>
tensor<[1,1696,7,7,f32]>
tensor<[1,1696,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,ui32]>
tensor<[1,16,ui32]>
tensor<[1,16,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,16,112,112,f32]>
tensor<[1,16,112,112,f32]>
tensor<[1,16,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,120,120,f32]>
tensor<[1,16,120,120,f32]>
tensor<[1,16,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,130,130,f32]>
tensor<[1,16,130,130,f32]>
tensor<[1,16,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,14,14,f32]>
tensor<[1,16,14,14,f32]>
tensor<[1,16,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
tensor<[1,16,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 160 + d2, d3), memory_config: (80, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,224,224,f32]>
tensor<[1,16,224,224,f32]>
tensor<[1,16,224,224,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,28,28,f32]>
tensor<[1,16,28,28,f32]>
tensor<[1,16,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,56,56,f32]>
tensor<[1,16,56,56,f32]>
tensor<[1,16,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1728,14,14,f32]>
tensor<[1,1728,14,14,f32]>
tensor<[1,1728,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1728,7,7,f32]>
tensor<[1,1728,7,7,f32]>
tensor<[1,1728,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1760,14,14,f32]>
tensor<[1,1760,14,14,f32]>
tensor<[1,1760,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1760,7,7,f32]>
tensor<[1,1760,7,7,f32]>
tensor<[1,1760,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1792,14,14,f32]>
tensor<[1,1792,14,14,f32]>
tensor<[1,1792,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1792,7,7,f32]>
tensor<[1,1792,7,7,f32]>
tensor<[1,1792,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,17,ui32]>
tensor<[1,17,ui32]>
tensor<[1,17,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,1824,7,7,f32]>
tensor<[1,1824,7,7,f32]>
tensor<[1,1824,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,184,14,14,f32]>
tensor<[1,184,14,14,f32]>
tensor<[1,184,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
tensor<[1,184,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3680 + d1 * 20 + d2, d3), memory_config: (115, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,184,7,7,f32]>
tensor<[1,184,7,7,f32]>
tensor<[1,184,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1856,7,7,f32]>
tensor<[1,1856,7,7,f32]>
tensor<[1,1856,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1888,7,7,f32]>
tensor<[1,1888,7,7,f32]>
tensor<[1,1888,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,18,ui32]>
tensor<[1,18,ui32]>
tensor<[1,18,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,18,14,14,f32]>
tensor<[1,18,14,14,f32]>
tensor<[1,18,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,18,28,28,f32]>
tensor<[1,18,28,28,f32]>
tensor<[1,18,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,18,56,56,f32]>
tensor<[1,18,56,56,f32]>
tensor<[1,18,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,18,7,7,f32]>
tensor<[1,18,7,7,f32]>
tensor<[1,18,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1920,7,7,f32]>
tensor<[1,1920,7,7,f32]>
tensor<[1,1920,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,14,14,f32]>
tensor<[1,192,14,14,f32]>
tensor<[1,192,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,17,17,f32]>
tensor<[1,192,17,17,f32]>
tensor<[1,192,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,28,28,f32]>
tensor<[1,192,28,28,f32]>
tensor<[1,192,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,35,35,f32]>
tensor<[1,192,35,35,f32]>
tensor<[1,192,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,38,38,f32]>
tensor<[1,192,38,38,f32]>
tensor<[1,192,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,48,48,f32]>
tensor<[1,192,48,48,f32]>
tensor<[1,192,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,56,56,f32]>
tensor<[1,192,56,56,f32]>
tensor<[1,192,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,75,75,f32]>
tensor<[1,192,75,75,f32]>
tensor<[1,192,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,7,7,f32]>
tensor<[1,192,7,7,f32]>
tensor<[1,192,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,8,8,f32]>
tensor<[1,192,8,8,f32]>
tensor<[1,192,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,192,95,95,f32]>
tensor<[1,192,95,95,f32]>
tensor<[1,192,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,196,14,14,f32]>
tensor<[1,196,14,14,f32]>
tensor<[1,196,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,19,ui32]>
tensor<[1,19,ui32]>
tensor<[1,19,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,200,14,14,f32]>
tensor<[1,200,14,14,f32]>
tensor<[1,200,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
tensor<[1,200,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4000 + d1 * 20 + d2, d3), memory_config: (125, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,200,7,7,f32]>
tensor<[1,200,7,7,f32]>
tensor<[1,200,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,2048,10,10,f32]>
tensor<[1,2048,10,10,f32]>
tensor<[1,2048,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,2048,14,14,f32]>
tensor<[1,2048,14,14,f32]>
tensor<[1,2048,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,2048,7,7,f32]>
tensor<[1,2048,7,7,f32]>
tensor<[1,2048,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,208,14,14,f32]>
tensor<[1,208,14,14,f32]>
tensor<[1,208,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,208,9,9,f32]>
tensor<[1,208,9,9,f32]>
tensor<[1,208,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,20,ui32]>
tensor<[1,20,ui32]>
tensor<[1,20,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,20,28,28,f32]>
tensor<[1,20,28,28,f32]>
tensor<[1,20,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,21,ui32]>
tensor<[1,21,ui32]>
tensor<[1,21,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,224,14,14,f32]>
tensor<[1,224,14,14,f32]>
tensor<[1,224,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,224,17,17,f32]>
tensor<[1,224,17,17,f32]>
tensor<[1,224,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,224,28,28,f32]>
tensor<[1,224,28,28,f32]>
tensor<[1,224,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,224,35,35,f32]>
tensor<[1,224,35,35,f32]>
tensor<[1,224,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,224,56,56,f32]>
tensor<[1,224,56,56,f32]>
tensor<[1,224,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,224,7,7,f32]>
tensor<[1,224,7,7,f32]>
tensor<[1,224,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,22,ui32]>
tensor<[1,22,ui32]>
tensor<[1,22,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,232,10,10,f32]>
tensor<[1,232,10,10,f32]>
tensor<[1,232,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,232,112,112,f32]>
tensor<[1,232,112,112,f32]>
tensor<[1,232,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,232,56,56,f32]>
tensor<[1,232,56,56,f32]>
tensor<[1,232,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,23,ui32]>
tensor<[1,23,ui32]>
tensor<[1,23,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,240,14,14,f32]>
tensor<[1,240,14,14,f32]>
tensor<[1,240,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,240,15,15,f32]>
tensor<[1,240,15,15,f32]>
tensor<[1,240,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
tensor<[1,240,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 20 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,240,28,28,f32]>
tensor<[1,240,28,28,f32]>
tensor<[1,240,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,240,30,30,f32]>
tensor<[1,240,30,30,f32]>
tensor<[1,240,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
tensor<[1,240,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,240,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 40 + d2, d3), memory_config: (300, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,24,ui32]>
tensor<[1,24,ui32]>
tensor<[1,24,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,24,112,112,f32]>
tensor<[1,24,112,112,f32]>
tensor<[1,24,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,24,14,14,f32]>
tensor<[1,24,14,14,f32]>
tensor<[1,24,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,24,150,150,f32]>
tensor<[1,24,150,150,f32]>
tensor<[1,24,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,24,190,190,f32]>
tensor<[1,24,190,190,f32]>
tensor<[1,24,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,24,28,28,f32]>
tensor<[1,24,28,28,f32]>
tensor<[1,24,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,24,56,56,f32]>
tensor<[1,24,56,56,f32]>
tensor<[1,24,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,24,60,60,f32]>
tensor<[1,24,60,60,f32]>
tensor<[1,24,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,24,65,65,f32]>
tensor<[1,24,65,65,f32]>
tensor<[1,24,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,24,80,80,f32]>
tensor<[1,24,80,80,f32]>
tensor<[1,24,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,24,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 80 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,2520,14,14,f32]>
tensor<[1,2520,14,14,f32]>
tensor<[1,2520,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,2520,7,7,f32]>
tensor<[1,2520,7,7,f32]>
tensor<[1,2520,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,10,10,f32]>
tensor<[1,256,10,10,f32]>
tensor<[1,256,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 10 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,128,128,f32]>
tensor<[1,256,128,128,f32]>
tensor<[1,256,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,14,14,f32]>
tensor<[1,256,14,14,f32]>
tensor<[1,256,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,16,16,f32]>
tensor<[1,256,16,16,f32]>
tensor<[1,256,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,17,17,f32]>
tensor<[1,256,17,17,f32]>
tensor<[1,256,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,28,28,f32]>
tensor<[1,256,28,28,f32]>
tensor<[1,256,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,2,2,f32]>
tensor<[1,256,2,2,f32]>
tensor<[1,256,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 2 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,32,32,f32]>
tensor<[1,256,32,32,f32]>
tensor<[1,256,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,38,38,f32]>
tensor<[1,256,38,38,f32]>
tensor<[1,256,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,3,3,f32]>
tensor<[1,256,3,3,f32]>
tensor<[1,256,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 3 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,56,56,f32]>
tensor<[1,256,56,56,f32]>
tensor<[1,256,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,5,5,f32]>
tensor<[1,256,5,5,f32]>
tensor<[1,256,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 5 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,64,64,f32]>
tensor<[1,256,64,64,f32]>
tensor<[1,256,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,75,75,f32]>
tensor<[1,256,75,75,f32]>
tensor<[1,256,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,7,7,f32]>
tensor<[1,256,7,7,f32]>
tensor<[1,256,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,8,8,f32]>
tensor<[1,256,8,8,f32]>
tensor<[1,256,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,25,ui32]>
tensor<[1,25,ui32]>
tensor<[1,25,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,26,ui32]>
tensor<[1,26,ui32]>
tensor<[1,26,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,272,12,12,f32]>
tensor<[1,272,12,12,f32]>
tensor<[1,272,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,272,7,7,f32]>
tensor<[1,272,7,7,f32]>
tensor<[1,272,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,27,ui32]>
tensor<[1,27,ui32]>
tensor<[1,27,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,288,14,14,f32]>
tensor<[1,288,14,14,f32]>
tensor<[1,288,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,288,17,17,f32]>
tensor<[1,288,17,17,f32]>
tensor<[1,288,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,288,19,19,f32]>
tensor<[1,288,19,19,f32]>
tensor<[1,288,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,288,28,28,f32]>
tensor<[1,288,28,28,f32]>
tensor<[1,288,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,288,33,33,f32]>
tensor<[1,288,33,33,f32]>
tensor<[1,288,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,288,38,38,f32]>
tensor<[1,288,38,38,f32]>
tensor<[1,288,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,28,ui32]>
tensor<[1,28,ui32]>
tensor<[1,28,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,28,28,28,f32]>
tensor<[1,28,28,28,f32]>
tensor<[1,28,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,29,ui32]>
tensor<[1,29,ui32]>
tensor<[1,29,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,320,14,14,f32]>
tensor<[1,320,14,14,f32]>
tensor<[1,320,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,320,17,17,f32]>
tensor<[1,320,17,17,f32]>
tensor<[1,320,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,320,28,28,f32]>
tensor<[1,320,28,28,f32]>
tensor<[1,320,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,320,7,7,f32]>
tensor<[1,320,7,7,f32]>
tensor<[1,320,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,320,8,8,f32]>
tensor<[1,320,8,8,f32]>
tensor<[1,320,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,ui32]>
tensor<[1,32,ui32]>
tensor<[1,32,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,112,112,f32]>
tensor<[1,32,112,112,f32]>
tensor<[1,32,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,120,120,f32]>
tensor<[1,32,120,120,f32]>
tensor<[1,32,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,120,160,f32]>
tensor<[1,32,120,160,f32]>
tensor<[1,32,120,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,128,128,f32]>
tensor<[1,32,128,128,f32]>
tensor<[1,32,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,130,130,f32]>
tensor<[1,32,130,130,f32]>
tensor<[1,32,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,147,147,f32]>
tensor<[1,32,147,147,f32]>
tensor<[1,32,147,147,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,149,149,f32]>
tensor<[1,32,149,149,f32]>
tensor<[1,32,149,149,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,14,14,f32]>
tensor<[1,32,14,14,f32]>
tensor<[1,32,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,150,150,f32]>
tensor<[1,32,150,150,f32]>
tensor<[1,32,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,190,190,f32]>
tensor<[1,32,190,190,f32]>
tensor<[1,32,190,190,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,256,256,f32]>
tensor<[1,32,256,256,f32]>
tensor<[1,32,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,28,28,f32]>
tensor<[1,32,28,28,f32]>
tensor<[1,32,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,30,40,f32]>
tensor<[1,32,30,40,f32]>
tensor<[1,32,30,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,512,512,f32]>
tensor<[1,32,512,512,f32]>
tensor<[1,32,512,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,56,56,f32]>
tensor<[1,32,56,56,f32]>
tensor<[1,32,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,60,80,f32]>
tensor<[1,32,60,80,f32]>
tensor<[1,32,60,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,75,75,f32]>
tensor<[1,32,75,75,f32]>
tensor<[1,32,75,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,7,7,f32]>
tensor<[1,32,7,7,f32]>
tensor<[1,32,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,95,95,f32]>
tensor<[1,32,95,95,f32]>
tensor<[1,32,95,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,334,14,14,f32]>
tensor<[1,334,14,14,f32]>
tensor<[1,334,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,336,112,112,f32]>
tensor<[1,336,112,112,f32]>
tensor<[1,336,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,336,14,14,f32]>
tensor<[1,336,14,14,f32]>
tensor<[1,336,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,336,24,24,f32]>
tensor<[1,336,24,24,f32]>
tensor<[1,336,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,336,48,48,f32]>
tensor<[1,336,48,48,f32]>
tensor<[1,336,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,336,56,56,f32]>
tensor<[1,336,56,56,f32]>
tensor<[1,336,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,34,28,28,f32]>
tensor<[1,34,28,28,f32]>
tensor<[1,34,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,352,14,14,f32]>
tensor<[1,352,14,14,f32]>
tensor<[1,352,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,352,28,28,f32]>
tensor<[1,352,28,28,f32]>
tensor<[1,352,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,352,9,9,f32]>
tensor<[1,352,9,9,f32]>
tensor<[1,352,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,36,14,14,f32]>
tensor<[1,36,14,14,f32]>
tensor<[1,36,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,36,28,28,f32]>
tensor<[1,36,28,28,f32]>
tensor<[1,36,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,36,56,56,f32]>
tensor<[1,36,56,56,f32]>
tensor<[1,36,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,36,7,7,f32]>
tensor<[1,36,7,7,f32]>
tensor<[1,36,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,3712,14,14,f32]>
tensor<[1,3712,14,14,f32]>
tensor<[1,3712,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,3712,7,7,f32]>
tensor<[1,3712,7,7,f32]>
tensor<[1,3712,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,384,10,10,f32]>
tensor<[1,384,10,10,f32]>
tensor<[1,384,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,384,14,14,f32]>
tensor<[1,384,14,14,f32]>
tensor<[1,384,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,384,17,17,f32]>
tensor<[1,384,17,17,f32]>
tensor<[1,384,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,384,28,28,f32]>
tensor<[1,384,28,28,f32]>
tensor<[1,384,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,384,7,7,f32]>
tensor<[1,384,7,7,f32]>
tensor<[1,384,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,384,8,8,f32]>
tensor<[1,384,8,8,f32]>
tensor<[1,384,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,40,14,14,f32]>
tensor<[1,40,14,14,f32]>
tensor<[1,40,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,40,28,28,f32]>
tensor<[1,40,28,28,f32]>
tensor<[1,40,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,40,30,30,f32]>
tensor<[1,40,30,30,f32]>
tensor<[1,40,30,30,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,40,40,40,f32]>
tensor<[1,40,40,40,f32]>
tensor<[1,40,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,40,56,56,f32]>
tensor<[1,40,56,56,f32]>
tensor<[1,40,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,416,14,14,f32]>
tensor<[1,416,14,14,f32]>
tensor<[1,416,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,416,28,28,f32]>
tensor<[1,416,28,28,f32]>
tensor<[1,416,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,448,12,12,f32]>
tensor<[1,448,12,12,f32]>
tensor<[1,448,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.subtracttensor<[1,448,14,14,f32]>
tensor<[1,448,14,14,f32]>
tensor<[1,448,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,448,28,28,f32]>
tensor<[1,448,28,28,f32]>
tensor<[1,448,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,448,8,8,f32]>
tensor<[1,448,8,8,f32]>
tensor<[1,448,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,462,7,7,f32]>
tensor<[1,462,7,7,f32]>
tensor<[1,462,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,46,28,28,f32]>
tensor<[1,46,28,28,f32]>
tensor<[1,46,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
tensor<[1,480,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,480,14,14,f32]>
tensor<[1,480,14,14,f32]>
tensor<[1,480,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,480,15,15,f32]>
tensor<[1,480,15,15,f32]>
tensor<[1,480,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
tensor<[1,480,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,480,28,28,f32]>
tensor<[1,480,28,28,f32]>
tensor<[1,480,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,480,7,7,f32]>
tensor<[1,480,7,7,f32]>
tensor<[1,480,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,48,14,14,f32]>
tensor<[1,48,14,14,f32]>
tensor<[1,48,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,48,33,33,f32]>
tensor<[1,48,33,33,f32]>
tensor<[1,48,33,33,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,48,38,38,f32]>
tensor<[1,48,38,38,f32]>
tensor<[1,48,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,48,56,56,f32]>
tensor<[1,48,56,56,f32]>
tensor<[1,48,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,48,7,7,f32]>
tensor<[1,48,7,7,f32]>
tensor<[1,48,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,512,14,14,f32]>
tensor<[1,512,14,14,f32]>
tensor<[1,512,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,512,16,16,f32]>
tensor<[1,512,16,16,f32]>
tensor<[1,512,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,512,28,28,f32]>
tensor<[1,512,28,28,f32]>
tensor<[1,512,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,512,32,32,f32]>
tensor<[1,512,32,32,f32]>
tensor<[1,512,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,512,56,56,f32]>
tensor<[1,512,56,56,f32]>
tensor<[1,512,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,512,5,5,f32]>
tensor<[1,512,5,5,f32]>
tensor<[1,512,5,5,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 5 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,512,7,7,f32]>
tensor<[1,512,7,7,f32]>
tensor<[1,512,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,512,8,8,f32]>
tensor<[1,512,8,8,f32]>
tensor<[1,512,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,528,17,17,f32]>
tensor<[1,528,17,17,f32]>
tensor<[1,528,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,544,14,14,f32]>
tensor<[1,544,14,14,f32]>
tensor<[1,544,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,56,14,14,f32]>
tensor<[1,56,14,14,f32]>
tensor<[1,56,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,56,48,48,f32]>
tensor<[1,56,48,48,f32]>
tensor<[1,56,48,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,576,14,14,f32]>
tensor<[1,576,14,14,f32]>
tensor<[1,576,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,576,19,19,f32]>
tensor<[1,576,19,19,f32]>
tensor<[1,576,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,576,7,7,f32]>
tensor<[1,576,7,7,f32]>
tensor<[1,576,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,58,28,28,f32]>
tensor<[1,58,28,28,f32]>
tensor<[1,58,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,5,ui32]>
tensor<[1,5,ui32]>
tensor<[1,5,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,608,14,14,f32]>
tensor<[1,608,14,14,f32]>
tensor<[1,608,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,60,28,28,f32]>
tensor<[1,60,28,28,f32]>
tensor<[1,60,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,640,14,14,f32]>
tensor<[1,640,14,14,f32]>
tensor<[1,640,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,112,112,f32]>
tensor<[1,64,112,112,f32]>
tensor<[1,64,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,120,160,f32]>
tensor<[1,64,120,160,f32]>
tensor<[1,64,120,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,128,128,f32]>
tensor<[1,64,128,128,f32]>
tensor<[1,64,128,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,147,147,f32]>
tensor<[1,64,147,147,f32]>
tensor<[1,64,147,147,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,14,14,f32]>
tensor<[1,64,14,14,f32]>
tensor<[1,64,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,150,150,f32]>
tensor<[1,64,150,150,f32]>
tensor<[1,64,150,150,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,160,160,f32]>
tensor<[1,64,160,160,f32]>
tensor<[1,64,160,160,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,160,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 160 + d2, d3), memory_config: (320, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,1,1,f32]>
tensor<[1,64,1,1,f32]>
tensor<[1,64,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,224,224,f32]>
tensor<[1,64,224,224,f32]>
tensor<[1,64,224,224,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,256,256,f32]>
tensor<[1,64,256,256,f32]>
tensor<[1,64,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,28,28,f32]>
tensor<[1,64,28,28,f32]>
tensor<[1,64,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,2,2,f32]>
tensor<[1,64,2,2,f32]>
tensor<[1,64,2,2,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,2,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 2 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,30,40,f32]>
tensor<[1,64,30,40,f32]>
tensor<[1,64,30,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,35,35,f32]>
tensor<[1,64,35,35,f32]>
tensor<[1,64,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,56,56,f32]>
tensor<[1,64,56,56,f32]>
tensor<[1,64,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,60,80,f32]>
tensor<[1,64,60,80,f32]>
tensor<[1,64,60,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,64,64,f32]>
tensor<[1,64,64,64,f32]>
tensor<[1,64,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,73,73,f32]>
tensor<[1,64,73,73,f32]>
tensor<[1,64,73,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,80,80,f32]>
tensor<[1,64,80,80,f32]>
tensor<[1,64,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 80 + d2, d3), memory_config: (160, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
tensor<[1,672,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,672,14,14,f32]>
tensor<[1,672,14,14,f32]>
tensor<[1,672,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,672,15,15,f32]>
tensor<[1,672,15,15,f32]>
tensor<[1,672,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
tensor<[1,672,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,672,24,24,f32]>
tensor<[1,672,24,24,f32]>
tensor<[1,672,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,672,28,28,f32]>
tensor<[1,672,28,28,f32]>
tensor<[1,672,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,672,56,56,f32]>
tensor<[1,672,56,56,f32]>
tensor<[1,672,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,672,7,7,f32]>
tensor<[1,672,7,7,f32]>
tensor<[1,672,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,672,8,8,f32]>
tensor<[1,672,8,8,f32]>
tensor<[1,672,8,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,68,14,14,f32]>
tensor<[1,68,14,14,f32]>
tensor<[1,68,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,68,56,56,f32]>
tensor<[1,68,56,56,f32]>
tensor<[1,68,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,696,28,28,f32]>
tensor<[1,696,28,28,f32]>
tensor<[1,696,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,696,56,56,f32]>
tensor<[1,696,56,56,f32]>
tensor<[1,696,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,ui32]>
tensor<[1,6,ui32]>
tensor<[1,6,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,704,14,14,f32]>
tensor<[1,704,14,14,f32]>
tensor<[1,704,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,720,17,17,f32]>
tensor<[1,720,17,17,f32]>
tensor<[1,720,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,720,9,9,f32]>
tensor<[1,720,9,9,f32]>
tensor<[1,720,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,728,19,19,f32]>
tensor<[1,728,19,19,f32]>
tensor<[1,728,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,728,38,38,f32]>
tensor<[1,728,38,38,f32]>
tensor<[1,728,38,38,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,72,14,14,f32]>
tensor<[1,72,14,14,f32]>
tensor<[1,72,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,72,28,28,f32]>
tensor<[1,72,28,28,f32]>
tensor<[1,72,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,72,40,40,f32]>
tensor<[1,72,40,40,f32]>
tensor<[1,72,40,40,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,72,56,56,f32]>
tensor<[1,72,56,56,f32]>
tensor<[1,72,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,72,7,7,f32]>
tensor<[1,72,7,7,f32]>
tensor<[1,72,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,72,80,80,f32]>
tensor<[1,72,80,80,f32]>
tensor<[1,72,80,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,72,80,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 80 + d2, d3), memory_config: (180, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,736,14,14,f32]>
tensor<[1,736,14,14,f32]>
tensor<[1,736,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,768,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,768,14,14,f32]>
tensor<[1,768,14,14,f32]>
tensor<[1,768,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,78,28,28,f32]>
tensor<[1,78,28,28,f32]>
tensor<[1,78,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,7,ui32]>
tensor<[1,7,ui32]>
tensor<[1,7,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,800,14,14,f32]>
tensor<[1,800,14,14,f32]>
tensor<[1,800,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,80,10,10,f32]>
tensor<[1,80,10,10,f32]>
tensor<[1,80,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 800 + d1 * 10 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,80,14,14,f32]>
tensor<[1,80,14,14,f32]>
tensor<[1,80,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,80,15,15,f32]>
tensor<[1,80,15,15,f32]>
tensor<[1,80,15,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,80,20,20,f32]>
tensor<[1,80,20,20,f32]>
tensor<[1,80,20,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 20 + d2, d3), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,80,7,7,f32]>
tensor<[1,80,7,7,f32]>
tensor<[1,80,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,816,10,10,f32]>
tensor<[1,816,10,10,f32]>
tensor<[1,816,10,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,816,19,19,f32]>
tensor<[1,816,19,19,f32]>
tensor<[1,816,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,832,14,14,f32]>
tensor<[1,832,14,14,f32]>
tensor<[1,832,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,864,14,14,f32]>
tensor<[1,864,14,14,f32]>
tensor<[1,864,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,88,17,17,f32]>
tensor<[1,88,17,17,f32]>
tensor<[1,88,17,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,896,14,14,f32]>
tensor<[1,896,14,14,f32]>
tensor<[1,896,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,896,7,7,f32]>
tensor<[1,896,7,7,f32]>
tensor<[1,896,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,ui32]>
tensor<[1,8,ui32]>
tensor<[1,8,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,8,112,112,f32]>
tensor<[1,8,112,112,f32]>
tensor<[1,8,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,928,14,14,f32]>
tensor<[1,928,14,14,f32]>
tensor<[1,928,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,928,7,7,f32]>
tensor<[1,928,7,7,f32]>
tensor<[1,928,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,92,14,14,f32]>
tensor<[1,92,14,14,f32]>
tensor<[1,92,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,960,12,12,f32]>
tensor<[1,960,12,12,f32]>
tensor<[1,960,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,960,14,14,f32]>
tensor<[1,960,14,14,f32]>
tensor<[1,960,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,960,24,24,f32]>
tensor<[1,960,24,24,f32]>
tensor<[1,960,24,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,960,3,3,f32]>
tensor<[1,960,3,3,f32]>
tensor<[1,960,3,3,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,960,7,7,f32]>
tensor<[1,960,7,7,f32]>
tensor<[1,960,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,112,112,f32]>
tensor<[1,96,112,112,f32]>
tensor<[1,96,112,112,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,120,120,f32]>
tensor<[1,96,120,120,f32]>
tensor<[1,96,120,120,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,130,130,f32]>
tensor<[1,96,130,130,f32]>
tensor<[1,96,130,130,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,14,14,f32]>
tensor<[1,96,14,14,f32]>
tensor<[1,96,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,19,19,f32]>
tensor<[1,96,19,19,f32]>
tensor<[1,96,19,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,28,28,f32]>
tensor<[1,96,28,28,f32]>
tensor<[1,96,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,35,35,f32]>
tensor<[1,96,35,35,f32]>
tensor<[1,96,35,35,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,56,56,f32]>
tensor<[1,96,56,56,f32]>
tensor<[1,96,56,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,60,60,f32]>
tensor<[1,96,60,60,f32]>
tensor<[1,96,60,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,65,65,f32]>
tensor<[1,96,65,65,f32]>
tensor<[1,96,65,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,71,71,f32]>
tensor<[1,96,71,71,f32]>
tensor<[1,96,71,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,96,73,73,f32]>
tensor<[1,96,73,73,f32]>
tensor<[1,96,73,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,98,28,28,f32]>
tensor<[1,98,28,28,f32]>
tensor<[1,98,28,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,992,14,14,f32]>
tensor<[1,992,14,14,f32]>
tensor<[1,992,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,992,7,7,f32]>
tensor<[1,992,7,7,f32]>
tensor<[1,992,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,9,ui32]>
tensor<[1,9,ui32]>
tensor<[1,9,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[3234,f32]>
tensor<[3234,f32]>
tensor<[3234,f32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[3234,1,f32]>
tensor<[3234,1,f32]>
tensor<[3234,1,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[3,320,320,f32]>
tensor<[3,320,320,f32]>
tensor<[3,320,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[3,320,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 320 + d1, d2), memory_config: (30, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[45,ui32]>
tensor<[45,ui32]>
tensor<[45,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[5,ui32]>
tensor<[5,ui32]>
tensor<[5,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[8,2048,f32]>
tensor<[8,2048,f32]>
tensor<[8,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,ui32]>
tensor<[1,ui32]>
tensor<[1,ui32]>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,f32]>
tensor<[1,1024,f32]>
tensor<[1,1024,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
tensor<[1,1024,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
tensor<[1,1024,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
tensor<[1,1024,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
tensor<[1,1024,640,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
tensor<[1,1024,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
tensor<[1,10,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
tensor<[1,1200,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
tensor<[1,12,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
tensor<[1,12,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
tensor<[1,1370,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
tensor<[1,1445,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
tensor<[1,14,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
tensor<[1,14,14,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
tensor<[1,14,14,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
tensor<[1,14,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
tensor<[1,1500,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1536,f32]>
tensor<[1,1536,f32]>
tensor<[1,1536,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
tensor<[1,16384,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
tensor<[1,16384,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
tensor<[1,16384,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
tensor<[1,16384,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
tensor<[1,16,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
tensor<[1,19200,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
tensor<[1,196,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
tensor<[1,197,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
tensor<[1,197,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
tensor<[1,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
tensor<[1,1,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
tensor<[1,201,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
tensor<[1,2048,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
tensor<[1,256,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
tensor<[1,256,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
tensor<[1,256,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
tensor<[1,256,160,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
tensor<[1,256,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
tensor<[1,256,3072,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
tensor<[1,256,32,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
tensor<[1,256,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
tensor<[1,256,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
tensor<[1,257,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
tensor<[1,25,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
tensor<[1,27,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
tensor<[1,28,28,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
tensor<[1,28,28,512,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
tensor<[1,300,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
tensor<[1,300,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
tensor<[1,300,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
tensor<[1,300,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
tensor<[1,32,10,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
tensor<[1,32,10,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
tensor<[1,32,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
tensor<[1,32,20,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
tensor<[1,32,20,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
tensor<[1,32,20,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
tensor<[1,32,30,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
tensor<[1,32,30,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
tensor<[1,32,40,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
tensor<[1,32,40,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
tensor<[1,32,40,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
tensor<[1,32,60,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
tensor<[1,32,60,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
tensor<[1,32,80,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
tensor<[1,32,80,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
tensor<[1,4096,1536,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
tensor<[1,4096,320,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
tensor<[1,4096,384,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
tensor<[1,4096,64,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
tensor<[1,4096,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
tensor<[1,45,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
tensor<[1,4800,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
tensor<[1,50,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
tensor<[1,56,56,128,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
tensor<[1,5,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
tensor<[1,64,1280,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
tensor<[1,65536,192,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
tensor<[1,6,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,768,f32]>
tensor<[1,768,f32]>
tensor<[1,768,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
tensor<[1,7,4544,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
tensor<[1,7,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
tensor<[1,7,7,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
tensor<[1,7,7,2048,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
tensor<[1,8,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
tensor<[1,9,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
tensor<[1,9,128,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
tensor<[1,9,2048,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
tensor<[1,9,4096,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
tensor<[1,9,768,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
tensor<[2,7,512,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
tensor<[4,1,1024,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.subtracttensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
tensor<[920,1,256,f32]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 2, 1>tensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan

ttnn.sum

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.sumtensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,197,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,25,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,50,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1370,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,6,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,24,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,28,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,32,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,3,1445,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3 + d1, d2), memory_config: (1, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,64,9,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,71,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 71 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[2,8,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[4,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[121,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (3267, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[121,6,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (23, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[16,8,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[16,8,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,197,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,201,201,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,201,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,257,257,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,45,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,12,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,197,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,16,5,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1,16384,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,1,16384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1,19200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,1,19200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 600, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,27,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,27,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,2,4096,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,2,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,2,4800,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,2,4800,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 150, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,32,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')dim_arg: [1 : i32]
keep_dim: False
tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,5,1024,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,5,1200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,5,1200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 38, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,15,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,6,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,10,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,2048,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,256,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,300,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,8,300,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[2,12,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[2,12,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[36,12,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1728 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[36,12,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (14, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[36,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (3888, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[36,24,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (27, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[484,6,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 144 + d2, d3), memory_config: (13068, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[484,6,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (91, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[4,16,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[4,16,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[4,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (864, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[4,48,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 48 + d1, d2), memory_config: (6, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[64,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[64,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[64,4,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[64,4,49,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[8,100,100,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[8,100,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[8,100,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[8,100,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[8,920,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[8,920,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[9,24,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3456 + d1 * 144 + d2, d3), memory_config: (972, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[9,24,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 24 + d1, d2), memory_config: (7, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[9,48,144,144,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6912 + d1 * 144 + d2, d3), memory_config: (1944, 5, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[9,48,144,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 48 + d1, d2), memory_config: (14, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,10,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,11,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,120,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 40 + d2, d3), memory_config: (150, 2, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1280,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,1280,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,1280,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,1392,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,13,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,13,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,14,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1536,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12288 + d1 * 8 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,15,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,15,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1920,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,1920,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 60, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,196,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')dim_arg: [1 : i32]
keep_dim: False
tensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')dim_arg: [1 : i32]
keep_dim: False
tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,2048,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,232,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,2520,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 79, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,3712,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,480,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 10 + d2, d3), memory_config: (150, 1, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,480,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,480,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,480,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,480,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 20 + d2, d3), memory_config: (300, 1, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,480,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,512,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 512 + d1, d2), memory_config: (16, 8, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,672,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 10 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,672,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,672,20,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 20 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,672,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,672,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,696,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,72,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,72,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,72,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 40 + d2, d3), memory_config: (90, 2, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,72,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,7,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,8,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[2,13,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,16,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dim_arg: [1 : i32]
keep_dim: False
tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.sumtensor<[1,12,16,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.sumtensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dim_arg: [1 : i32]
keep_dim: False
tensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[2,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dim_arg: [1 : i32]
keep_dim: False
tensor<[2,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.sumtensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dim_arg: [1 : i32]
keep_dim: False
tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1024,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1024,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 96, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1024,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 38, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1370,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1445,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,14,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,14,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,14,14,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,14,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1500,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [1 : i32]
keep_dim: False
tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16384,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16384,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16384,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,16,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,19200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 600, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,197,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,197,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,201,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,256,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,256,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 96, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,25,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,27,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,28,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,28,28,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 28 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,300,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,300,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,300,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,300,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32, 3 : i32]
keep_dim: False
tensor<[1,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,4096,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 48, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,4096,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,4096,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,45,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,4800,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 150, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,56,56,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 56 + d1, d2), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,5,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,65536,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 65536 + d1, d2), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,65536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2048, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [1 : i32]
keep_dim: False
tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,7,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,7,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')dim_arg: [3 : i32]
keep_dim: False
tensor<[1,7,7,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,8,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[1,9,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[2,7,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[4,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[4,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.sumtensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')dim_arg: [2 : i32]
keep_dim: False
tensor<[920,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan

ttnn.tanh

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.tanhtensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,15,1024,bf16]>
tensor<[1,15,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,15,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,1,1024,bf16]>
tensor<[1,1,1024,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,1,3072,bf16]>
tensor<[1,1,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,1,4096,bf16]>
tensor<[1,1,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,1,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,32,6144,bf16]>
tensor<[1,32,6144,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,32,6144,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,45,3072,bf16]>
tensor<[1,45,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,45,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,5,4096,bf16]>
tensor<[1,5,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,5,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,768,bf16]>
tensor<[1,768,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,9,128,bf16]>
tensor<[1,9,128,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,9,16384,bf16]>
tensor<[1,9,16384,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,9,16384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,9,4096,bf16]>
tensor<[1,9,4096,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.tanhtensor<[1,9,8192,bf16]>
tensor<[1,9,8192,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 1, 1>tensor<[1,9,8192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan

ttnn.to_device

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[6,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[11,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,11,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,11,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[12,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,12,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[13,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,13,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[14,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,14,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[15,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,15,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,15,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[16,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,16,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[17,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,17,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,17,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[18,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,18,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,18,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[19,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,19,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,19,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[20,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,20,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,20,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[21,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,21,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,21,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[22,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,22,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,22,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[23,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,23,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,23,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[24,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,24,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,24,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[25,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,25,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[26,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,26,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,26,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[27,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,27,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,27,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[28,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,28,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,28,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[29,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,29,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,29,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[32,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,32,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[5,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,5,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[6,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,6,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[7,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,7,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[8,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,8,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,8,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[9,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,9,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[32,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,32,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,672,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x21>>, >tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,40,40,120,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x4>>, >tensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,40,40,40,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x2>>, >tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x4>>, >tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x18>>, >tensor<[1,1,1,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,2,2,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,2,2,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x4>>, >tensor<[1,2,2,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3,3,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3,3,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x4>>, >tensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,160,160,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<800x1>>, >tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,160,160,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<800x1>>, >tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,160,160,64,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 2, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<800x2>>, >tensor<[1,160,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,184,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x6>>, >tensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,80,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x3>>, >tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,200,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x7>>, >tensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,80,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x3>>, >tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,80,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x3>>, >tensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,240,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 8, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x8>>, >tensor<[1,20,20,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,80,80,72,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<200x3>>, >tensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,5,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,5,5,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,2,2,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,2,2,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,2,2,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,2,2,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x18>>, >tensor<[1,2,2,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,2,2,64,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x2>>, >tensor<[1,2,2,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3,3,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x4>>, >tensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3,3,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,3,3,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3,3,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3,3,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x18>>, >tensor<[1,3,3,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,5,512,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x16>>, >tensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,256,256,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,160,160,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<800x1>>, >tensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,128,128,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<512x6>>, >tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,40,40,120,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x4>>, >tensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,40,40,240,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 8, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x8>>, >tensor<[1,40,40,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,10,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x1>>, >tensor<[1,10,10,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,10,256,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x8>>, >tensor<[1,10,10,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,10,480,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x15>>, >tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,10,480,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x15>>, >tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,10,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 18, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x18>>, >tensor<[1,10,10,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,10,80,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x3>>, >tensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,112,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x4>>, >tensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,480,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x15>>, >tensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,5,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x4>>, >tensor<[1,5,5,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,5,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,5,5,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,5,512,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x16>>, >tensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,5,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x18>>, >tensor<[1,5,5,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,80,80,64,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 2, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<200x2>>, >tensor<[1,80,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,128,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x4>>, >tensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,64,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x2>>, >tensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,80,80,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<200x1>>, >tensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,10,80,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x3>>, >tensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,112,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x4>>, >tensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x1>>, >tensor<[1,20,20,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,546,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 18, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x18>>, >tensor<[1,20,20,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 18, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,672,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x21>>, >tensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,10,672,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 21, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x21>>, >tensor<[1,10,10,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 21, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,40,40,40,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x2>>, >tensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,80,80,24,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<200x1>>, >tensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,80,80,72,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<200x3>>, >tensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,40,40,72,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 3, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x3>>, >tensor<[1,40,40,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,10,480,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x15>>, >tensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,184,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x6>>, >tensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,200,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x7>>, >tensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,20,20,480,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x15>>, >tensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,12,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x12>>, >tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,13,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x13>>, >tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[2,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2x1>>, >tensor<[2,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,6,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x6>>, >tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,10,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x10>>, >tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,32,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x32>>, >tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,2048,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2048, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x2048>>, >tensor<[1,2048,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2048, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,256,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x256>>, >tensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,12,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x12>>, >tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,14,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x14>>, >tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,9,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x9>>, >tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,193,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 193, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x193>>, >tensor<[1,193,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 193, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,8,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,12,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x12>>, >tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,14,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x14>>, >tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,9,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x9>>, >tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,256,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x256>>, >tensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,16,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x16>>, >tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,25,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x25>>, >tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,8,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,8,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,32,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x32>>, >tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,10,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x10>>, >tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,10,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x10>>, >tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,15,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x15>>, >tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,10,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x10>>, >tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[2,13,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 13, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2x13>>, >tensor<[2,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 13, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[2,7,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 7, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2x7>>, >tensor<[2,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 7, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,45,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 45, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x45>>, >tensor<[1,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 45, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,7,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x7>>, >tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,6,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x6>>, >tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,10,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x10>>, >tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,11,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x11>>, >tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,12,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x12>>, >tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,13,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x13>>, >tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,14,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x14>>, >tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,15,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x15>>, >tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,6,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x6>>, >tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,7,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x7>>, >tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,8,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,9,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x9>>, >tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,5,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x5>>, >tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,10,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x10>>, >tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,7,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x7>>, >tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,5,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x5>>, >tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,12544,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12544x128>>, >tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x128>>, >tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x128>>, >tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x128>>, >tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,4096,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (4096, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4096x128>>, >tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,1024,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (1024, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,784,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x16>>, >tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,196,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x16>>, >tensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,5041,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 5041 + d2, d3), memory_config: (5041, 192, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5041x192>>, >tensor<[1,1,5041,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 5041 + d2, d3), memory_config: (5041, 192, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,1225,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (1225, 192, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1225x192>>, >tensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,196,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x256>>, >tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,49,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<49x256>>, >tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,1024,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (1024, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1024x256>>, >tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,256,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (256, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x256>>, >tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,3136,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3136x256>>, >tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x256>>, >tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,784,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 320, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x320>>, >tensor<[1,1,784,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 320, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,196,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 320, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x320>>, >tensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 320, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,12544,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12544x32>>, >tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,3136,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3136x32>>, >tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,65536,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (65536, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<65536x32>>, >tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,16384,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (16384, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16384x32>>, >tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,1225,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (1225, 384, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1225x384>>, >tensor<[1,1,1225,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (1225, 384, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,289,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (289, 384, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<289x384>>, >tensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,196,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 4, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x4>>, >tensor<[1,1,196,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 4, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,49,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 4, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<49x4>>, >tensor<[1,1,49,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 4, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x512>>, >tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 512, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<49x512>>, >tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,784,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 512, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x512>>, >tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x512>>, >tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,196,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 640, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x640>>, >tensor<[1,1,196,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 640, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,49,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 640, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<49x640>>, >tensor<[1,1,49,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 640, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12544x64>>, >tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3136x64>>, >tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,16384,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (16384, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16384x64>>, >tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,4096,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (4096, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4096x64>>, >tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,21609,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (21609, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21609x64>>, >tensor<[1,1,21609,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (21609, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,5329,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (5329, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5329x64>>, >tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,50176,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (50176, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50176x64>>, >tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12544x64>>, >tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,576,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (576, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<576x64>>, >tensor<[1,1,576,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (576, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,144,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (144, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<144x64>>, >tensor<[1,1,144,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,230400,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 230400 + d2, d3), memory_config: (230400, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<230400x64>>, >tensor<[1,1,230400,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 230400 + d2, d3), memory_config: (230400, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,57600,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (57600, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<57600x64>>, >tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3136x64>>, >tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,784,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x64>>, >tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,196,832,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 832, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x832>>, >tensor<[1,1,196,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 832, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,49,832,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 832, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<49x832>>, >tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 832, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1024,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x32>>, >tensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1536,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x48>>, >tensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[256,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[2,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3234,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x102>>, >tensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[3584,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x112>>, >tensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[4096,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x128>>, >tensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[51200,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1600>>, >tensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[512,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x16>>, >tensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[12,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[45,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x2>>, >tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[5,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,132,132,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<17424x192>>, >tensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,6,132,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<25x6>>, >tensor<[1,6,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,126,132,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<520x6>>, >tensor<[1,126,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,132,6,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<25x6>>, >tensor<[1,132,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,132,126,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<520x6>>, >tensor<[1,132,126,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,132,132,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<17424x384>>, >tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,126,132,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<520x12>>, >tensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,132,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<25x12>>, >tensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,132,126,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<520x12>>, >tensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,132,6,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<25x12>>, >tensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,132,132,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<17424x384>>, >tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,6,132,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<25x12>>, >tensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,126,132,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<520x12>>, >tensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,132,6,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<25x12>>, >tensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,132,126,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<520x12>>, >tensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x512>>, >tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x512>>, >tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,24,24,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<576x1536>>, >tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,18,24,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x48>>, >tensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,24,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5x48>>, >tensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,24,18,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x48>>, >tensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,24,6,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5x48>>, >tensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,24,24,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<576x1536>>, >tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,6,24,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5x48>>, >tensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,18,24,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x48>>, >tensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,24,6,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5x48>>, >tensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,24,18,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x48>>, >tensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,264,264,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<69696x192>>, >tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,258,264,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2129x6>>, >tensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,264,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x6>>, >tensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,264,258,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2129x6>>, >tensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,264,6,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x6>>, >tensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,264,264,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<69696x192>>, >tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,6,264,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x6>>, >tensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,258,264,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2129x6>>, >tensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,264,6,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x6>>, >tensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,264,258,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2129x6>>, >tensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x256>>, >tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x256>>, >tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,36,36,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1296x1536>>, >tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_devicetensor<[1,30,36,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<34x48>>, >tensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,36,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x48>>, >tensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,30,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<34x48>>, >tensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,6,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x48>>, >tensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,36,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1296x1536>>, >tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,6,36,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x48>>, >tensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,30,36,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<34x48>>, >tensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,6,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x48>>, >tensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,30,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<34x48>>, >tensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,36,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1296x768>>, >tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,30,36,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<34x24>>, >tensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,36,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x24>>, >tensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,30,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<34x24>>, >tensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,6,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x24>>, >tensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,36,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1296x768>>, >tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,6,36,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x24>>, >tensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,30,36,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<34x24>>, >tensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,6,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x24>>, >tensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,30,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<34x24>>, >tensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,72,72,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5184x384>>, >tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,66,72,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<149x12>>, >tensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,72,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x12>>, >tensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,66,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<149x12>>, >tensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,6,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x12>>, >tensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,72,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5184x384>>, >tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,6,72,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x12>>, >tensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,66,72,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<149x12>>, >tensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,6,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x12>>, >tensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,66,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<149x12>>, >tensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,72,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5184x768>>, >tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,66,72,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<149x24>>, >tensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,72,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x24>>, >tensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,66,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<149x24>>, >tensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,6,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x24>>, >tensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,72,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5184x768>>, >tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,6,72,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x24>>, >tensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,66,72,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<149x24>>, >tensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,6,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x24>>, >tensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,66,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<149x24>>, >tensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,f32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x10>>, >tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x16>>, >tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x16>>, >tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x16>>, >tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x16>>, >tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x16>>, >tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x16>>, >tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x16>>, >tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x16>>, >tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x16>>, >tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x16>>, >tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 50280, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x50280>>, >tensor<[1,10,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 50280, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,11,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x11>>, >tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x16>>, >tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 50280, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x50280>>, >tensor<[1,11,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 50280, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,12,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x12>>, >tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,12,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x12>>, >tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x16>>, >tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 50280, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x50280>>, >tensor<[1,12,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 50280, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1370,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (1370, 1280, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1370x1280>>, >tensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (1370, 1280, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x13>>, >tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x16>>, >tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 50280, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x50280>>, >tensor<[1,13,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 50280, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,14,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x14>>, >tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x16>>, >tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 50280, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x50280>>, >tensor<[1,14,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 50280, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,15,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x15>>, >tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x16>>, >tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 50280, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x50280>>, >tensor<[1,15,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 50280, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,16,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x16>>, >tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,16,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x16>>, >tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,17,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 17, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x17>>, >tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 17, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,18,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x18>>, >tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,197,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<197x768>>, >tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,19,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 19, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x19>>, >tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 19, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,201,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (201, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<201x768>>, >tensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (201, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,20,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x20>>, >tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,21,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x21>>, >tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,22,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 22, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x22>>, >tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 22, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,23,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 23, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x23>>, >tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 23, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,24,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x24>>, >tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,25,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<25x768>>, >tensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,2,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x2>>, >tensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,2,120,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (240, 160, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<240x160>>, >tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (240, 160, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,2,120,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (240, 160, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<240x160>>, >tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (240, 160, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,2,30,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (60, 40, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<60x40>>, >tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (60, 40, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,2,30,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (60, 40, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<60x40>>, >tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (60, 40, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,2,60,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (120, 80, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<120x80>>, >tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (120, 80, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,2,60,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (120, 80, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<120x80>>, >tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (120, 80, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<30720x16>>, >tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<30720x16>>, >tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<30720x16>>, >tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<30720x16>>, >tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<30720x16>>, >tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<30720x16>>, >tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<30720x16>>, >tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<30720x16>>, >tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<30720x16>>, >tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<30720x16>>, >tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<33792x16>>, >tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36864x16>>, >tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<39936x16>>, >tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<43008x16>>, >tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<46080x16>>, >tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,6,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<18432x16>>, >tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,6,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<18432x16>>, >tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,6,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<18432x16>>, >tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,6,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<18432x16>>, >tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,6,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<18432x16>>, >tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,6,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<18432x16>>, >tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,7,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21504x16>>, >tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,7,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21504x16>>, >tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,7,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21504x16>>, >tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,7,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21504x16>>, >tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,7,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21504x16>>, >tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,7,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21504x16>>, >tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,7,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21504x16>>, >tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,8,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<24576x16>>, >tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,8,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<24576x16>>, >tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,8,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<24576x16>>, >tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,8,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<24576x16>>, >tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,8,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<24576x16>>, >tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,8,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<24576x16>>, >tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,8,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<24576x16>>, >tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,8,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<24576x16>>, >tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,9,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<27648x16>>, >tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,9,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<27648x16>>, >tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,9,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<27648x16>>, >tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,9,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<27648x16>>, >tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,9,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<27648x16>>, >tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,9,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<27648x16>>, >tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,9,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<27648x16>>, >tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,9,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<27648x16>>, >tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3072,9,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<27648x16>>, >tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,3072,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<96x1>>, >tensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,32,16,3,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1536x96>>, >tensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,32,16,3,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1536x96>>, >tensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,32,16,3,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1536x96>>, >tensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x3>>, >tensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,3,224,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<672x224>>, >tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,224,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<672x224>>, >tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,224,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<672x224>>, >tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,45,50257,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (45, 50257, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<45x50257>>, >tensor<[1,45,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (45, 50257, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,4,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x4>>, >tensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,50,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 50, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x50>>, >tensor<[1,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 50, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,50,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (50, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<50x768>>, >tensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (50, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,5,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x5>>, >tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,51200,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 51200, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5x51200>>, >tensor<[1,5,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 51200, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,51200,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1600, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1600>>, >tensor<[1,1,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x6>>, >tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x16>>, >tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x16>>, >tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x16>>, >tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x16>>, >tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x16>>, >tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x16>>, >tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6,50272,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 50272, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x50272>>, >tensor<[1,6,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 50272, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 50280, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x50280>>, >tensor<[1,6,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 50280, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,7,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x7>>, >tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,7,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x16>>, >tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x16>>, >tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x16>>, >tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x16>>, >tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x16>>, >tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x16>>, >tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x16>>, >tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 50280, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x50280>>, >tensor<[1,7,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 50280, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,8,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,8,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x16>>, >tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x16>>, >tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x16>>, >tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x16>>, >tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x16>>, >tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x16>>, >tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x16>>, >tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x16>>, >tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 50280, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x50280>>, >tensor<[1,8,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 50280, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,8,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x768>>, >tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x9>>, >tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x16>>, >tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x16>>, >tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x16>>, >tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x16>>, >tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x16>>, >tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x16>>, >tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x16>>, >tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x16>>, >tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x16>>, >tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 50280, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x50280>>, >tensor<[1,9,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 50280, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,50280,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1572>>, >tensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,9,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x768>>, >tensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3234,4,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3234x4>>, >tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')nannan
ttnn.to_devicetensor<[3234,1,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<102x1>>, >tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3234,4,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3234x4>>, >tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')nannan
ttnn.to_devicetensor<[3234,1,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<102x1>>, >tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3234,4,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3234x4>>, >tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')nannan
ttnn.to_devicetensor<[3234,1,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<102x1>>, >tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3234,4,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3234x4>>, >tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')nannan
ttnn.to_devicetensor<[3234,1,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<102x1>>, >tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,121,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<627264x32>>, >tensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,121,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6534x1>>, >tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,121,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<627264x32>>, >tensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,121,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6534x1>>, >tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,121,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<627264x32>>, >tensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,121,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6534x1>>, >tensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,121,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<313632x32>>, >tensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,121,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3267x1>>, >tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,121,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<313632x32>>, >tensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,121,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3267x1>>, >tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,121,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<313632x32>>, >tensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,121,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3267x1>>, >tensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,1370,1,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4110x1280>>, >tensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,1370,1,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4110x1280>>, >tensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,1370,1,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4110x1280>>, >tensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,16,8,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<18816x32>>, >tensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,16,8,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<18816x32>>, >tensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,16,8,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<18816x32>>, >tensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,1,12,257,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9252x64>>, >tensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,1,12,257,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9252x64>>, >tensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,1,12,257,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9252x64>>, >tensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,1,32,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4704x32>>, >tensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,1,32,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4704x32>>, >tensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,1,32,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4704x32>>, >tensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,36,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<186624x32>>, >tensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,36,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1944x1>>, >tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,36,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<186624x32>>, >tensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,36,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1944x1>>, >tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,36,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<186624x32>>, >tensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,36,12,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1944x1>>, >tensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,36,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<373248x32>>, >tensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,36,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3888x1>>, >tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,36,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<373248x32>>, >tensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,36,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3888x1>>, >tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,36,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<373248x32>>, >tensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,36,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3888x1>>, >tensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,484,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1254528x32>>, >tensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,484,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13068x1>>, >tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,484,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1254528x32>>, >tensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,484,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13068x1>>, >tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,484,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1254528x32>>, >tensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,484,6,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13068x1>>, >tensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,4,16,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9408x32>>, >tensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,4,16,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9408x32>>, >tensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,4,16,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9408x32>>, >tensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,4,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<82944x32>>, >tensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,4,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<864x1>>, >tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,4,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<82944x32>>, >tensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,4,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<864x1>>, >tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,4,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<82944x32>>, >tensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,4,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<864x1>>, >tensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,64,4,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<37632x32>>, >tensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,64,4,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<37632x32>>, >tensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,64,4,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<37632x32>>, >tensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,9,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<93312x32>>, >tensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,9,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<972x1>>, >tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,9,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<93312x32>>, >tensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,9,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<972x1>>, >tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,9,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<93312x32>>, >tensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,9,24,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<972x1>>, >tensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,9,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<186624x32>>, >tensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,9,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1944x1>>, >tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,9,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<186624x32>>, >tensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,9,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1944x1>>, >tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,9,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<186624x32>>, >tensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,9,48,144,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1944x1>>, >tensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[4,2,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x1>>, >tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,2,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[4,2,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x1>>, >tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,2,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[4,2,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x1>>, >tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,2,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[4,2,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x1>>, >tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,2,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[6,1,100,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (600, 4, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<600x4>>, >tensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (600, 4, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[6,1,100,92,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (600, 92, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<600x92>>, >tensor<[6,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (600, 92, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[8,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x1>>, >tensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[8,50,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 50, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x50>>, >tensor<[8,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 50, 'f32', 'dram')nannan
ttnn.to_devicetensor<[8,1,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[8,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[14,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x14>>, >tensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[14,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x14>>, >tensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[14,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x14>>, >tensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[16,2048,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 2048, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16x2048>>, >tensor<[16,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 2048, 'f32', 'dram')nannan
ttnn.to_devicetensor<[8,2048,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x64>>, >tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[16,2048,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 2048, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16x2048>>, >tensor<[16,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 2048, 'f32', 'dram')nannan
ttnn.to_devicetensor<[8,2048,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x64>>, >tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1024,5120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 5120, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1024x5120>>, >tensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 5120, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1024,5120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 5120, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1024x5120>>, >tensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 5120, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x10>>, >tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,10,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x128>>, >tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x128>>, >tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,10,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<10x128>>, >tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x11>>, >tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,11,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x128>>, >tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x128>>, >tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,11,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<11x128>>, >tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,128,128,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16384x192>>, >tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,128,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x6>>, >tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,128,128,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16384x192>>, >tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_devicetensor<[1,64,128,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x6>>, >tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,128,128,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16384x384>>, >tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,128,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x12>>, >tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,128,128,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16384x384>>, >tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,128,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x12>>, >tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,128,132,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16896x192>>, >tensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,128,128,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<512x6>>, >tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,128,132,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16896x384>>, >tensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,128,128,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<512x12>>, >tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,128,256,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<32768x192>>, >tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,128,128,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<512x6>>, >tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,128,256,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<32768x192>>, >tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,128,128,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<512x6>>, >tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,12,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x12>>, >tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,12,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x128>>, >tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x128>>, >tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x128>>, >tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,12,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<144x128>>, >tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,12,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<144x128>>, >tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,1536,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 1536, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x1536>>, >tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 1536, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,1,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x128>>, >tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,12,1,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x128>>, >tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,132,132,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<17424x192>>, >tensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,128,132,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<528x6>>, >tensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,132,132,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<17424x384>>, >tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,128,132,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<528x12>>, >tensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,13,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x13>>, >tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,13,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x128>>, >tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x128>>, >tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,13,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<13x128>>, >tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1445,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (1445, 192, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1445x192>>, >tensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (1445, 192, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x14>>, >tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x128>>, >tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x128>>, >tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x128>>, >tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x512>>, >tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<196x512>>, >tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<392x256>>, >tensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<392x256>>, >tensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 2, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x2>>, >tensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 2, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,14,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 2, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<14x2>>, >tensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 2, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x15>>, >tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,15,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x128>>, >tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x128>>, >tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,15,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<15x128>>, >tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,16,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x16>>, >tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,16,24,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (384, 1536, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<384x1536>>, >tensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (384, 1536, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,16,16,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x48>>, >tensor<[1,16,16,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,16,32,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<512x768>>, >tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,16,16,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x24>>, >tensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,16,32,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<512x768>>, >tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,16,16,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x24>>, >tensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,17,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 17, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x17>>, >tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 17, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,185,28,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (5180, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5180x28>>, >tensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (5180, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,185,28,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (5180, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5180x28>>, >tensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (5180, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,18,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x18>>, >tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,197,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 1024, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<197x1024>>, >tensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 1024, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,197,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<197x768>>, >tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,19,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 19, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x19>>, >tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 19, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,16,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16x32>>, >tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,16,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16x32>>, >tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,16,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16x64>>, >tensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,16,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16x64>>, >tensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x32>>, >tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x32>>, >tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,1,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,4,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x768>>, >tensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,4,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x768>>, >tensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,4,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x768>>, >tensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,7,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x64>>, >tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,1,7,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x64>>, >tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,20,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x20>>, >tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,21,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x21>>, >tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,22,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 22, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x22>>, >tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 22, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,23,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 23, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x23>>, >tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 23, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,24,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x24>>, >tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,24,24,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<576x1536>>, >tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,16,24,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12x48>>, >tensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,24,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<768x128>>, >tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,24,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<768x128>>, >tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,256,10240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 10240, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x10240>>, >tensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 10240, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,256,10240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 10240, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x10240>>, >tensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 10240, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,256,256,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<65536x192>>, >tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,128,256,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1024x6>>, >tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,256,256,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<65536x192>>, >tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,128,256,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1024x6>>, >tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,256,264,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (67584, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<67584x192>>, >tensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (67584, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,256,256,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2048x6>>, >tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,256,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 2, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x2>>, >tensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 2, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,256,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 2, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x2>>, >tensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 2, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,25,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x25>>, >tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,25,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 2, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<25x2>>, >tensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 2, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,25,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 2, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<25x2>>, >tensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 2, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,264,264,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<69696x192>>, >tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,256,264,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (2112, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2112x6>>, >tensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (2112, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,26,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 26, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x26>>, >tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 26, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,27,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 27, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x27>>, >tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 27, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,28,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 28, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x28>>, >tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 28, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,28,13,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<364x128>>, >tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,28,13,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<364x128>>, >tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x256>>, >tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<784x256>>, >tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,28,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1568x128>>, >tensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,28,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1568x128>>, >tensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,29,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 29, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x29>>, >tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 29, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,2,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x2>>, >tensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,2,12,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<24x128>>, >tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,2,12,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<24x128>>, >tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,2,1,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2x128>>, >tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,2,1,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2x128>>, >tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,10,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x10>>, >tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,11,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x11>>, >tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x12>>, >tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,13,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x13>>, >tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x14>>, >tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,15,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x15>>, >tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 16, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x16>>, >tensor<[1,3072,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 16, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,17,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 17, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x17>>, >tensor<[1,3072,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 17, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 18, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x18>>, >tensor<[1,3072,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 18, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3072,9,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x9>>, >tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,32,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,32,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1024x128>>, >tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,32,32,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1024x768>>, >tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,16,32,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16x24>>, >tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,32,32,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1024x768>>, >tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,16,32,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<16x24>>, >tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,32,36,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 1536, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1152x1536>>, >tensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 1536, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,32,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<32x48>>, >tensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,32,36,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1152x768>>, >tensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,32,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<32x24>>, >tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,32,64,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2048x384>>, >tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,32,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<32x12>>, >tensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,32,64,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2048x384>>, >tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,32,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<32x12>>, >tensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,32,64,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2048x768>>, >tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,32,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<32x24>>, >tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,32,64,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<2048x768>>, >tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,32,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<32x24>>, >tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,36,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1296x1536>>, >tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,36,1536,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 48, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36x48>>, >tensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,36,36,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1296x768>>, >tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,36,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<36x24>>, >tensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,3,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x3>>, >tensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,3,16,16,85,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<768x85>>, >tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,16,16,85,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<768x85>>, >tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,16,16,85,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<768x85>>, >tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,32,32,85,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x85>>, >tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,32,32,85,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x85>>, >tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,32,32,85,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3072x85>>, >tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,64,64,85,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12288x85>>, >tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,64,64,85,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12288x85>>, >tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,3,64,64,85,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<12288x85>>, >tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,4096,2560,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 2560, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4096x2560>>, >tensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 2560, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,4096,2560,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 2560, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4096x2560>>, >tensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 2560, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,46,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 46, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x46>>, >tensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 46, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,47,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 47, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x47>>, >tensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 47, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,48,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x48>>, >tensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,49,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 49, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x49>>, >tensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 49, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,4,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x4>>, >tensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,4,13,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<52x128>>, >tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,4,13,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<52x128>>, >tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,50,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 50, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x50>>, >tensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 50, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,51,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 51, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x51>>, >tensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 51, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,52,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 52, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x52>>, >tensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 52, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,53,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 53, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x53>>, >tensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 53, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,54,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 54, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x54>>, >tensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 54, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,55,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 55, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x55>>, >tensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 55, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,56,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 56, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x56>>, >tensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 56, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3136x128>>, >tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,57,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 57, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x57>>, >tensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 57, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,58,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 58, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x58>>, >tensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 58, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,59,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 59, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x59>>, >tensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 59, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x5>>, >tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,16,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<80x32>>, >tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,5,16,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<80x32>>, >tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,5,16,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<80x64>>, >tensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,5,16,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<80x64>>, >tensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,5,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5x32>>, >tensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,5,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,32,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 32, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5x32>>, >tensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 32, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,5,16,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,5,4,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<20x768>>, >tensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,5,4,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<20x768>>, >tensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,5,4,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<20x768>>, >tensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,60,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 60, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x60>>, >tensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 60, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,6144,10,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 10, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x10>>, >tensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 10, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,10,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 10, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x10>>, >tensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 10, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,11,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 11, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x11>>, >tensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 11, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,11,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 11, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x11>>, >tensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 11, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 12, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x12>>, >tensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 12, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 12, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x12>>, >tensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 12, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,13,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 13, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x13>>, >tensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 13, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,13,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 13, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x13>>, >tensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 13, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x14>>, >tensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x14>>, >tensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,15,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 15, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x15>>, >tensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 15, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,15,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 15, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x15>>, >tensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 15, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,6,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 6, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x6>>, >tensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 6, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,6,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 6, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x6>>, >tensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 6, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,7,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 7, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x7>>, >tensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 7, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,7,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 7, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x7>>, >tensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 7, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 8, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x8>>, >tensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 8, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 8, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x8>>, >tensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 8, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,9,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 9, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x9>>, >tensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 9, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6144,9,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 9, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6144x9>>, >tensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 9, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,61,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 61, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x61>>, >tensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 61, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,62,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 62, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x62>>, >tensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 62, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,63,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 63, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x63>>, >tensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 63, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x64>>, >tensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,10240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 10240, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<64x10240>>, >tensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 10240, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,64,10240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 10240, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<64x10240>>, >tensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 10240, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,64,128,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8192x192>>, >tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,64,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<128x6>>, >tensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,128,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8192x192>>, >tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,64,192,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 6, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<128x6>>, >tensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,128,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8192x384>>, >tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,64,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<128x12>>, >tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,128,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8192x384>>, >tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,64,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<128x12>>, >tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,64,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4096x384>>, >tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,64,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<64x12>>, >tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,64,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4096x384>>, >tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,64,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<64x12>>, >tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,64,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4096x768>>, >tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,64,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<64x24>>, >tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,64,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4096x768>>, >tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,32,64,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<64x24>>, >tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,72,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4608x384>>, >tensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,64,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<128x12>>, >tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,64,72,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4608x768>>, >tensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,64,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<128x24>>, >tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,65,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 65, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x65>>, >tensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 65, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,66,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 66, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x66>>, >tensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 66, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,67,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 67, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x67>>, >tensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 67, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,68,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 68, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x68>>, >tensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 68, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,69,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 69, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x69>>, >tensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 69, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x6>>, >tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,6,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x128>>, >tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x128>>, >tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,6,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<6x128>>, >tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,70,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 70, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x70>>, >tensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 70, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,71,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 71, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x71>>, >tensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 71, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,71,7,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<497x64>>, >tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,71,7,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<497x64>>, >tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,72,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x72>>, >tensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,72,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5184x384>>, >tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,72,384,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 12, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<144x12>>, >tensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,72,72,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<5184x768>>, >tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'dram')nannan
ttnn.to_devicetensor<[1,64,72,768,f32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 24, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<144x24>>, >tensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[1,73,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 73, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x73>>, >tensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 73, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,74,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 74, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x74>>, >tensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 74, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,75,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 75, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x75>>, >tensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 75, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,76,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 76, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x76>>, >tensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 76, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,77,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 77, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x77>>, >tensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 77, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,78,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 78, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x78>>, >tensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 78, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,79,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 79, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x79>>, >tensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 79, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,7,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x7>>, >tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x128>>, >tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x128>>, >tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x128>>, >tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<98x512>>, >tensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<98x512>>, >tensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,2304,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x2304>>, >tensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,2304,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x2304>>, >tensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,2304,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x2304>>, >tensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,7,73,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 511 + d1 * 73 + d2, d3), memory_config: (511, 64, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<511x64>>, >tensor<[1,7,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 511 + d1 * 73 + d2, d3), memory_config: (511, 64, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,80,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 80, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x80>>, >tensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 80, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,81,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 81, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x81>>, >tensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 81, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,82,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 82, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x82>>, >tensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 82, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,83,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 83, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x83>>, >tensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 83, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,84,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 84, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x84>>, >tensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 84, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,85,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 85, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x85>>, >tensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 85, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,86,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 86, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x86>>, >tensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 86, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,87,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 87, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x87>>, >tensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 87, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,88,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 88, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x88>>, >tensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 88, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,89,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 89, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x89>>, >tensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 89, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,8,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x8>>, >tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,8,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x128>>, >tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x128>>, >tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x128>>, >tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x128>>, >tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,8,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<256x128>>, >tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,90,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 90, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x90>>, >tensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 90, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,91,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 91, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x91>>, >tensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 91, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,92,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 92, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x92>>, >tensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 92, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,93,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 93, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x93>>, >tensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 93, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,94,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 94, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x94>>, >tensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 94, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,95,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 95, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x95>>, >tensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 95, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,96,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x96>>, >tensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,97,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 97, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x97>>, >tensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 97, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,98,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x98>>, >tensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,99,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 99, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x99>>, >tensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 99, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,9,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x9>>, >tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,9,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x128>>, >tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x128>>, >tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[1,9,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<9x128>>, >tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[21,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21x28>>, >tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[21,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21x28>>, >tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[21,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<21x28>>, >tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[28,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<28x28>>, >tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[28,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<28x28>>, >tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[28,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<28x28>>, >tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3234,4,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3234x4>>, >tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')nannan
ttnn.to_devicetensor<[3234,2,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<102x1>>, >tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3234,4,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3234x4>>, >tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')nannan
ttnn.to_devicetensor<[3234,1,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<102x1>>, >tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3234,4,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3234x4>>, >tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')nannan
ttnn.to_devicetensor<[3234,2,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<102x1>>, >tensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3234,4,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3234x4>>, >tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')nannan
ttnn.to_devicetensor<[3234,1,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<102x1>>, >tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3234,4,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3234x4>>, >tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')nannan
ttnn.to_devicetensor<[3234,1,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<102x1>>, >tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3234,4,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3234x4>>, >tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'dram')nannan
ttnn.to_devicetensor<[3234,1,f32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<102x1>>, >tensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.to_devicetensor<[3,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3x14>>, >tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3x14>>, >tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3x14>>, >tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3x28>>, >tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3x28>>, >tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3x28>>, >tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3x56>>, >tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3x56>>, >tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[3,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<3x56>>, >tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[45,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x45>>, >tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[49,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<49x56>>, >tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[49,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<49x56>>, >tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[49,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<49x56>>, >tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[4,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x14>>, >tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[4,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x14>>, >tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[4,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x14>>, >tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[4,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x28>>, >tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[4,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x28>>, >tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[4,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x28>>, >tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[4,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x56>>, >tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[4,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x56>>, >tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[4,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<4x56>>, >tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[56,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<56x56>>, >tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[56,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<56x56>>, >tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[56,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<56x56>>, >tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[5,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x5>>, >tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[7,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x14>>, >tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[7,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x14>>, >tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[7,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<7x14>>, >tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'dram')nannan
ttnn.to_devicetensor<[8,2,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'ui32', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<8x2>>, >tensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'ui32', 'dram')nannan
ttnn.to_devicetensor<[8,1,ui32]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[12,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[45,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x2>>, >tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[5,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[5,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,1,1,5,ui32]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.to_devicetensor<[1,ui32]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')memory_config: #ttnn.memory_config<#dram, <<1x1>>, >tensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan

ttnn.to_layout

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 11, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[11,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,11,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,11,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 12, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 13, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[13,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 13, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 14, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[14,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 14, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 15, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[15,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,15,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 15, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,15,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[16,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 17, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[17,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,17,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 17, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,17,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 18, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[18,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,18,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 18, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,18,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 19, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[19,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,19,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 19, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,19,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[20,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,20,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 20, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,20,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 21, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[21,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,21,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 21, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,21,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 22, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[22,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,22,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,22,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 23, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[23,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,23,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 23, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,23,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[24,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,24,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,24,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 25, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[25,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 25, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 26, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[26,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,26,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 26, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,26,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 27, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[27,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,27,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 27, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,27,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 28, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[28,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,28,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 28, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,28,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 29, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[29,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,29,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 29, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,29,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 5, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[6,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 7, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[7,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[8,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,8,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,8,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 9, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[9,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 9, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[32,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,10,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,1536,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,23,40,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,23,40,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,45,80,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,45,80,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,45,80,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[256,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[256,1024,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,512,1,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,512,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,462,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 462, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,462,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 112, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 224, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,15,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,15,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,24,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,34,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,720,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,46,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,9,1248,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,9,1248,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,9,208,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,9,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,9,352,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 352, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,9,352,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,30,40,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,40,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,120,160,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,150,150,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,150,150,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,90,160,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 546, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,224,224,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,19,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,38,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,30,40,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,2,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 128, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,2,2,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,15,20,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,20,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,30,40,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,40,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,80,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,80,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,90,160,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,90,160,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1344,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1344,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,2520,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 2520, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 79, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,2520,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 79, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1344,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,816,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 384, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,3712,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 3712, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,3712,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,174,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,348,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,68,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 68, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 288, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,95,95,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,95,95,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,30,30,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,33,33,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,33,33,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,60,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,60,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,60,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,60,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,30,30,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,30,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,65,65,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,65,65,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,65,65,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,65,65,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,33,33,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,33,33,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 18, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 36, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,95,95,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,95,95,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,58,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,1536,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,1536,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1536, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1536,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 384, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,68,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,24,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,3,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,73,73,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,12,1632,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,12,1632,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,12,272,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,12,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,12,448,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 448, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,12,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,120,120,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,120,120,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,130,130,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,130,130,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 48, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,160,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 64, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,160,160,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 2, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,224,224,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,224,224,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,46,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 46, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,896,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 896, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,896,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 28, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,184,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,7,184,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,184,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,35,35,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 224, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,35,35,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,48,48,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,48,48,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,35,35,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,35,35,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1152, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,1152,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1152, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,1152,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 36, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,95,95,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,95,95,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,95,95,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,95,95,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,48,48,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,48,48,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,26,26,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 26 + d2, d3), memory_config: (676, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,26,26,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 676 + d1 * 26 + d2, d3), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,200,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,7,200,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,200,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,20,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,20,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,23,40,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,23,40,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,23,40,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,9,1248,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1248, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,9,1248,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 39, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,78,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 78, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 224, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1392, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,58,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 696, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,68,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,15,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,15,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 960, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 80, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 3, 'tile<32x32, f32>', 'system_memory')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_layouttensor<[1,14,14,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,30,30,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,30,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,30,30,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,15,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,15,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,20,20,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 240, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 8, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,112,112,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,150,150,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,150,150,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,190,190,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,190,190,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,60,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,60,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,65,65,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,65,65,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,7,2520,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 79, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,2520,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2520, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,2520,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 79, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,5,5,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 256, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,5,5,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,112,112,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,120,160,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,120,160,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,150,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 150, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,180,320,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,180,320,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,90,160,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,90,160,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,180,320,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,2,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 24, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,2,2,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 256, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,2,2,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,2,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 546, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,2,2,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,2,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (4, 64, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,2,2,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 2 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 128, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3,3,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,3,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 24, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3,3,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 256, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3,3,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,3,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 546, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3,3,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,45,80,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,45,80,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1024,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1024,256,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 + d2, d3), memory_config: (262144, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,512,1,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (512, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,512,1,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 + d2, d3), memory_config: (16, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 18, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 255, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,45,80,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,45,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,12,1632,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1632, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,12,1632,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 51, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,34,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,88,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,33,33,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,33,33,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,33,33,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 48, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,33,33,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 288, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 48, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 288, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,134,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 134, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,134,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,116,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,13,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (13, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,13,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (14, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,15,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (15, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (16, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,17,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (17, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,18,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (18, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,18,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (9, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (10, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,11,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (11, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,11,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[768,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[768,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (589824, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (384, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,1,4,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (12288, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,58,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 58, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,20,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,20,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,20,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,20,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,30,40,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 232, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 232, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 336, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,120,120,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,120,120,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,120,120,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,120,120,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,120,160,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 2, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,120,160,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,130,130,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,130,130,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,130,130,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,130,130,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,147,147,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,147,147,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,147,147,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (21609, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,147,147,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 147 + d2, d3), memory_config: (676, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,150,150,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,150,150,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,150,150,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,150,150,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,190,190,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,190,190,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,190,190,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,190,190,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,256,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 1, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,256,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,256,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,256,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,24,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,30,40,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 2, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,40,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,256,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,80,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 2, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,80,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,95,95,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (9025, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,95,95,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9025 + d1 * 95 + d2, d3), memory_config: (283, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 336, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,24,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,48,48,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,48,48,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,48,48,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 56, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,48,48,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,24,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 336, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 336, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1392, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,3712,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3712, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,9,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,9,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,68,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 68, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,98,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 98, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 18, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 36, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 36, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,3712,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,348,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 348, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,348,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,3712,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 3712, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,3712,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 116, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,35,35,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,35,35,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,35,35,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,35,35,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,35,35,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,448,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 448, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,448,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 14, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,14,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,224,224,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,224,224,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,224,224,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,224,224,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,120,120,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (14400, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,120,120,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 120 + d2, d3), memory_config: (450, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,256,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,130,130,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (16900, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,130,130,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16900 + d1 * 130 + d2, d3), memory_config: (529, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,149,149,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 149 + d2, d3), memory_config: (22201, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,149,149,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22201 + d1 * 149 + d2, d3), memory_config: (694, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,150,150,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,150,150,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,150,150,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (25600, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,160,160,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25600 + d1 * 160 + d2, d3), memory_config: (800, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,32,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,32,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,190,190,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (36100, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,190,190,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36100 + d1 * 190 + d2, d3), memory_config: (1129, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (192, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,16,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,120,160,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,120,160,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,512,512,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (262144, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,512,512,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 262144 + d1 * 512 + d2, d3), memory_config: (8192, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,256,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,42,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 42 + d2, d3), memory_config: (1344, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,42,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 42 + d2, d3), memory_config: (42, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,37,37,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1369 + d1 * 37 + d2, d3), memory_config: (1369, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,37,37,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1369 + d1 * 37 + d2, d3), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,360,640,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 640 + d2, d3), memory_config: (230400, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,360,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 640 + d2, d3), memory_config: (7200, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,60,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,30,30,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (900, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,30,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 30 + d2, d3), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 120, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,40,40,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 4, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,40,40,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 240, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,40,40,240,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 8, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,56,56,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,116,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 116, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,116,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,12,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,12,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,168,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 168, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 24, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,10,10,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,10,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 256, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,10,10,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,10,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 546, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,10,10,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 18, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,14,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,15,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,15,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,15,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,15,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,15,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,15,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 48, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,33,33,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (1089, 288, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,33,33,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1089 + d1 * 33 + d2, d3), memory_config: (35, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,288,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 288, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,288,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,20,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 255, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,1000,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1000, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,1000,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,23,40,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,23,40,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,23,40,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,19,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 19, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,38,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 38, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,255,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 255, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,255,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,23,40,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (920, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,23,40,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 920 + d1 * 40 + d2, d3), memory_config: (29, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,5,5,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 128, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,5,5,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,5,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 24, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,5,5,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 512, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,5,5,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 16, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,5,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (25, 546, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,5,5,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 5 + d2, d3), memory_config: (1, 18, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,60,80,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,80,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,2048,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 2048, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,45,80,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (3600, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,45,80,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 80 + d2, d3), memory_config: (113, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,90,160,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,90,160,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,90,160,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (14400, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,90,160,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 160 + d2, d3), memory_config: (450, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,528,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,528,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,88,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 88, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,196,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 196, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,196,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,48,48,336,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (2304, 336, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,48,48,336,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 48 + d2, d3), memory_config: (72, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 576, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,136,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 696, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,60,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 60, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,80,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,80,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,120,160,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (19200, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,120,160,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 160 + d2, d3), memory_config: (600, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,20,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (300, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,73,73,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,73,73,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 384, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,150,150,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,150,150,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,75,75,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (5625, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,75,75,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5625 + d1 * 75 + d2, d3), memory_config: (176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,150,150,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (22500, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,150,150,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22500 + d1 * 150 + d2, d3), memory_config: (704, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,80,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 64, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,80,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 2, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,180,320,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,180,320,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,180,320,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,180,320,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,180,320,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 128, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,224,224,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 1, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,224,224,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,224,224,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,224,224,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (50176, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,224,224,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 224 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,256,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,256,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,256,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,30,40,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (1200, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,30,40,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 40 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,35,35,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,480,640,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 1, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,480,640,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (9600, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,480,640,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (307200, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,480,640,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 307200 + d1 * 640 + d2, d3), memory_config: (9600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 14, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,80,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (4800, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,80,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 80 + d2, d3), memory_config: (150, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,16,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,73,73,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,73,73,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,73,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,71,71,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (5041, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,71,71,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 71 + d2, d3), memory_config: (158, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,14,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 80, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,10,10,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 3, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,14,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 56, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,15,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 112, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,15,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,15,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,15,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,168,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 168, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,168,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 112, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 4, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,20,20,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 24, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,20,20,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 546, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,546,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 18, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 672, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 21, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,10,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 672, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,10,10,672,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 21, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,24,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 112, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,24,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,24,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,24,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,1344,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1344, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1344,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1344, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1344,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 42, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,672,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 672, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,672,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 21, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,8,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (64, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,8,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 64 + d1 * 8 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,174,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 174, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,174,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,58,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 58, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 1392, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,1392,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 1392, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,1392,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 44, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,696,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 696, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,696,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 22, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,720,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 720, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,9,720,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 720, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,9,720,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,9,208,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (81, 208, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,9,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 81 + d1 * 9 + d2, d3), memory_config: (3, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,38,38,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (1444, 728, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,38,38,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1444 + d1 * 38 + d2, d3), memory_config: (46, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,728,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 728, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,728,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 23, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,144,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 144, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,144,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,18,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 18, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,36,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 36, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,36,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 20, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 40, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,40,40,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,56,56,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 12, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,72,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 72, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 24, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,80,80,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (6400, 72, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,80,80,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6400 + d1 * 80 + d2, d3), memory_config: (200, 3, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,40,40,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (1600, 72, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,40,40,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1600 + d1 * 40 + d2, d3), memory_config: (50, 3, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,334,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 334, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,334,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 11, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,257,1,27,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 27, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,257,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (9, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,257,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (257, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,257,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 257 + d1 + d2, d3), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[768,768,3,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 3 + d2, d3), memory_config: (55296, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[768,768,3,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2304 + d1 * 3 + d2, d3), memory_config: (1769472, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1500,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 + d2, d3), memory_config: (1500, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1500,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1500 + d1 + d2, d3), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 224, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3072,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3072,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (589824, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,1,3072,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 3072, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,1,3072,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[768,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (4608, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[768,192,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 + d2, d3), memory_config: (147456, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[768,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (18432, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[768,768,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 + d2, d3), memory_config: (589824, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (8, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,34,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 34, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,34,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,272,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 272, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 480, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,10,10,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 15, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,14,100,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 100, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,100,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,112,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 112, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,184,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 184, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 6, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_layouttensor<[1,14,14,200,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 200, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,92,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,15,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (225, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,15,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 225 + d1 * 15 + d2, d3), memory_config: (8, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 184, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,184,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 200, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,200,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 7, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (400, 480, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,20,20,480,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 20 + d2, d3), memory_config: (13, 15, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[768,80,3,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 3 + d2, d3), memory_config: (5760, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[768,80,3,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 3 + d2, d3), memory_config: (184320, 1, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3000,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (3000, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3000,1,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3000 + d1 + d2, d3), memory_config: (94, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,184,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 184, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,184,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,200,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 200, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,200,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,480,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 480, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,480,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 15, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 232, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,136,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 136, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,136,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,816,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 816, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,10,816,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (100, 816, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,10,816,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 10 + d2, d3), memory_config: (4, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 384, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,48,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 48, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,17,17,528,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (289, 528, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,17,17,528,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 17, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,112,112,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (12544, 8, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,112,112,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,232,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 232, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,232,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,92,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 92, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 28, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,12,272,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 272, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,12,272,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1,240,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 240, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1,240,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,24,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,24,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 960, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,24,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,12,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 960, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,12,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,3,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,3,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (9, 960, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,3,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 3 + d2, d3), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,64,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,64,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,960,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 960, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,960,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 30, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,60,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,60,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,65,65,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,65,65,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,208,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 208, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,208,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 576, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,19,576,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (361, 576, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,19,19,576,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 361 + d1 * 19 + d2, d3), memory_config: (12, 18, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,35,35,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (1225, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,35,35,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,56,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,60,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (3600, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,60,60,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 60 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,65,65,24,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (4225, 24, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,65,65,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4225 + d1 * 65 + d2, d3), memory_config: (133, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,20,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 20, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,7,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[2,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[2,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,2048,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2048,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2048, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,193,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,193,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 193, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,256,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[2,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[2,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 13, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[2,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[2,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 7, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,45,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 45, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,bf16]>
!tt.device<#device>
mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,12544,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,3136,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,196,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,196,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,3136,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,784,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,784,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,4096,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (4096, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (1024, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1024,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (1024, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1024,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,784,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,196,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,196,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,5041,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 5041 + d2, d3), memory_config: (158, 6, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,5041,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5041 + d1 * 5041 + d2, d3), memory_config: (5041, 192, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 35 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (1225, 192, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1225,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (1225, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1225,192,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,196,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,49,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,49,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (32, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 1024 + d2, d3), memory_config: (1024, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (256, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,256,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (256, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,3136,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,784,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,784,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,784,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 10, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,784,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 320, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 320, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,196,320,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 320, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,196,320,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,12544,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,3136,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,3136,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (2048, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,65536,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 65536 + d2, d3), memory_config: (65536, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (16384, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16384,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (16384, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16384,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,1225,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (39, 12, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,1225,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1225 + d1 * 1225 + d2, d3), memory_config: (1225, 384, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 17 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (289, 384, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,289,384,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (289, 384, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,289,384,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 289 + d1 * 289 + d2, d3), memory_config: (10, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,196,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,196,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 4, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,49,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,49,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 4, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,49,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,49,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 512, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,49,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,49,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,784,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 512, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,196,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,196,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,196,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 20, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,196,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 640, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,49,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,49,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 640, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,49,640,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 640, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,49,640,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,3136,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,16384,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (16384, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (4096, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,4096,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (4096, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,4096,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 4096 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,21609,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (676, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,21609,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21609 + d1 * 21609 + d2, d3), memory_config: (21609, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 73 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (5329, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,5329,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (5329, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,5329,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5329 + d1 * 5329 + d2, d3), memory_config: (167, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (1568, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,50176,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 50176 + d1 * 50176 + d2, d3), memory_config: (50176, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 112 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,12544,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (12544, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,12544,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 12544 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,576,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,576,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 576 + d2, d3), memory_config: (576, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,144,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,144,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (144, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,144,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,144,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 144 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,230400,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 230400 + d2, d3), memory_config: (7200, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,230400,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 230400 + d1 * 230400 + d2, d3), memory_config: (230400, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 320 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (57600, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,57600,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (57600, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,57600,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 57600 + d1 * 57600 + d2, d3), memory_config: (1800, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,3136,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 3136 + d2, d3), memory_config: (3136, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,784,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (784, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,784,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 784 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,196,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (7, 26, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,196,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 196 + d2, d3), memory_config: (196, 832, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 832, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,49,832,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (49, 832, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,49,832,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 49 + d2, d3), memory_config: (2, 26, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1024, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 256, 'f32', 'system_memory')layout: #ttnn.layouttensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'f32', 'system_memory')layout: #ttnn.layouttensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3234, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 102, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 3584, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4096, 'f32', 'system_memory')layout: #ttnn.layouttensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 51200, 'f32', 'system_memory')layout: #ttnn.layouttensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 512, 'f32', 'system_memory')layout: #ttnn.layouttensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,126,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,126,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,132,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,132,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,132,126,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,132,126,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (792, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 132 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (16632, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,126,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 132 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (792, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,132,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 6 + d2, d3), memory_config: (25, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (16632, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,132,126,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16632 + d1 * 126 + d2, d3), memory_config: (520, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,11,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,11,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (5, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,11,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,11,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (5, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,3,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,3,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 14 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,11,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 14 + d2, d3), memory_config: (5, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,3,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (42, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,3,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 42 + d1 * 3 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,11,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (154, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,11,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 154 + d1 * 11 + d2, d3), memory_config: (5, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (144, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 24 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (432, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,18,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 24 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (144, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,24,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 6 + d2, d3), memory_config: (5, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (432, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,24,18,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 18 + d2, d3), memory_config: (14, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (1584, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 264 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (68112, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,258,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 264 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (1584, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,264,6,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 6 + d2, d3), memory_config: (50, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (68112, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,264,258,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 68112 + d1 * 258 + d2, d3), memory_config: (2129, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,25,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,25,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (22, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (3, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,25,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,25,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (22, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,3,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,3,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (3, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 28 + d2, d3), memory_config: (3, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,25,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,25,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 28 + d2, d3), memory_config: (22, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,3,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (84, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,3,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 3 + d2, d3), memory_config: (3, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,25,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (700, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,25,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 700 + d1 * 25 + d2, d3), memory_config: (22, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,30,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,6,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,30,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (216, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 36 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (1080, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,30,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 36 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (216, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 6 + d2, d3), memory_config: (7, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (1080, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,30,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 30 + d2, d3), memory_config: (34, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,53,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,53,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (93, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,53,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,53,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (93, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,3,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,3,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 56 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,53,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,53,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 56 + d2, d3), memory_config: (93, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,3,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (168, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,3,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 3 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,53,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (2968, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,56,53,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2968 + d1 * 53 + d2, d3), memory_config: (93, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,66,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,72,6,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,72,66,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (432, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,6,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 72 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (4752, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,66,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 72 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (432, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,72,6,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 6 + d2, d3), memory_config: (14, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (4752, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,72,66,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 66 + d2, d3), memory_config: (149, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 50280, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 50280, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 50280, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (1370, 1280, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 50280, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 50280, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 50280, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 17, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 19, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (201, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 22, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 23, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (240, 160, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,120,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (120, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (4, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (8, 5, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 120 + d2, d3), memory_config: (240, 160, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,120,160,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (120, 160, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 120 + d2, d3), memory_config: (4, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (60, 40, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,30,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (30, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 30 + d2, d3), memory_config: (60, 40, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,30,40,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (30, 40, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30 + d1 * 30 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (120, 80, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,60,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (60, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 60 + d2, d3), memory_config: (120, 80, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,60,80,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (60, 80, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 60 + d1 * 60 + d2, d3), memory_config: (2, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (30720, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (33792, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (36864, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (39936, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (43008, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (46080, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (18432, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (21504, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (24576, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (27648, 16, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (3072, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,3072,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (48, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,16,1,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (48, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,16,1,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (48, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,16,3,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1536 + d1 * 48 + d2 * 3 + d3, d4), memory_config: (1536, 96, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,16,1,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (512, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,16,1,96,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 512 + d1 * 16 + d2 + d3, d4), memory_config: (16, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,224,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,224,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (672, 224, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,224,224,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (224, 224, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 224 + d2, d3), memory_config: (7, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,45,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 1571, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,45,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (45, 50257, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50257,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50257, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,50257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 50, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (50, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1600, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 51200, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 51200, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1600, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 50272, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50272,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50272, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,50272,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 50280, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 50280, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 50280, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 50280, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 50280, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (19602, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (19602, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (19602, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (627264, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (209088, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,121,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 209088 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (6534, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (9801, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (313632, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (104544, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,121,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 104544 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (3267, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1370,1,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1370,1,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (129, 40, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (4110, 1280, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1370,1,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (1370, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1370,1,1280,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1370 + d1 + d2, d3), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,8,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,8,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (588, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (18816, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,8,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (6272, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,16,8,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 6272 + d1 * 392 + d2 * 49 + d3, d4), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,12,257,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,12,257,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (290, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (9252, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,12,257,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (3084, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,12,257,64,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3084 + d1 * 3084 + d2 * 257 + d3, d4), memory_config: (97, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,32,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,32,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (147, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (4704, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,32,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (1568, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,32,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 1568 + d1 * 1568 + d2 * 49 + d3, d4), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,12,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 1728 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (11664, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (373248, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (124416, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,36,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 124416 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (3888, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (39204, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (1254528, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (418176, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,484,6,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 418176 + d1 * 864 + d2 * 144 + d3, d4), memory_config: (13068, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,4,16,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,4,16,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (294, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (9408, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,4,16,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (3136, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,4,16,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3136 + d1 * 784 + d2 * 49 + d3, d4), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (2592, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (82944, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (27648, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,4,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 27648 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (864, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,4,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,4,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (1176, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (37632, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,4,49,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (12544, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,4,49,32,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12544 + d1 * 196 + d2 * 49 + d3, d4), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (2916, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (93312, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (31104, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,9,24,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 31104 + d1 * 3456 + d2 * 144 + d3, d4), memory_config: (972, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (5832, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (186624, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (62208, 32, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,9,48,144,32,f32]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 62208 + d1 * 6912 + d2 * 144 + d3, d4), memory_config: (1944, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (8, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (2, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,2,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[6,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (600, 4, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,100,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (100, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,100,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[6,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (19, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[6,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (600, 92, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,100,92,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (100, 92, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,100,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 100 + d1 * 100 + d2, d3), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[8,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[8,50,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 50, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[8,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[8,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (14, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[7,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'dram')layout: #ttnn.layouttensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[16,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[16,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 2048, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'system_memory')layout: #ttnn.layouttensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[16,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[16,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (16, 2048, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2048, 'f32', 'system_memory')layout: #ttnn.layouttensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 160, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 5120, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1024,2560,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 2560, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1024,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 160, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1024,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 5120, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1024,2560,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (1024, 2560, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1024,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 10, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,10,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,10,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (10, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,10,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 11, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'system_memory')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_layouttensor<[1,11,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,11,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,11,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,11,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (11, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,11,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,128,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (16384, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,128,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 12, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,12,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,12,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (144, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (12, 1536, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1536,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1536, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,1,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,12,1,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (12, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,132,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,128,132,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (545, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,132,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17424 + d1 * 132 + d2, d3), memory_config: (17424, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (16896, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,128,132,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16896 + d1 * 132 + d2, d3), memory_config: (528, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 13, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,13,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,13,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,13,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (13, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,13,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (1445, 192, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,100,192,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (100, 192, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,100,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 14, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (4, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 512, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,14,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (4, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (13, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (13, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,14,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (196, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,14,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 2, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 1, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,14,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 2, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (14, 1, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 15, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,15,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,15,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,15,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (15, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,15,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 48, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (384, 1536, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,16,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,16,16,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (256, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,16,16,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 17, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (162, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (5180, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,57,28,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1596 + d1 * 28 + d2, d3), memory_config: (1596, 28, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,57,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1596 + d1 * 28 + d2, d3), memory_config: (50, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (162, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,185,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5180 + d1 * 28 + d2, d3), memory_config: (5180, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,28,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (3584, 28, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 18, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 1024, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,196,1024,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (196, 1024, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,196,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (197, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,196,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (196, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 19, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (16, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,1,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,4,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,4,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,4,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (4, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,7,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,7,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (7, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,1,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 20, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 21, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 22, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 23, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (18, 48, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,24,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 24 + d2, d3), memory_config: (576, 1536, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (384, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,16,24,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,32,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,24,32,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (768, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,24,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 320, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 10240, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,5120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 5120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 320, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,256,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 10240, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,5120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 5120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (32768, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,128,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 256 + d2, d3), memory_config: (1024, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (2112, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (67584, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (65536, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,256,256,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 65536 + d1 * 256 + d2, d3), memory_config: (2048, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 2, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 1, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,256,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 2, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (256, 1, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,256,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 2, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,25,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 1, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,25,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,25,2,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 2, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,25,1,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (25, 1, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,25,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (2178, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,264,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 69696 + d1 * 264 + d2, d3), memory_config: (69696, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (67584, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,256,264,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 67584 + d1 * 264 + d2, d3), memory_config: (2112, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 26, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 27, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 28, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,28,13,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,28,13,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (364, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (13, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 256, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,14,28,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (392, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,14,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 28 + d2, d3), memory_config: (13, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (49, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (49, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,28,28,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (784, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 29, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,12,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,2,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,12,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (24, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,2,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 * 12 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,1,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,2,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,2,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,2,1,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (2, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,2,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,7,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 16, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,17,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 17, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,18,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 18, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,6,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,32,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,32,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,32,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (512, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,16,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 48, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 1536, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,32,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,32,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (1024, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,32,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 48, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,36,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 1536, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 1536, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,36,1536,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 48, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (41, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,36,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1296 + d1 * 36 + d2, d3), memory_config: (1296, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (1152, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,36,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 36 + d2, d3), memory_config: (36, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,16,16,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 2, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,16,16,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 2, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,16,16,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,16,16,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 85, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,16,16,81,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (768, 81, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,16,16,81,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 768 + d1 * 256 + d2 * 16 + d3, d4), memory_config: (24, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,32,32,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 2, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,32,32,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 2, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,32,32,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,32,32,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 85, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,32,32,81,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (3072, 81, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,32,32,81,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 3072 + d1 * 1024 + d2 * 32 + d3, d4), memory_config: (96, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,64,64,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 2, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,64,64,2,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 2, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,64,64,2,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,3,64,64,85,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 85, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3,64,64,81,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (12288, 81, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3,64,64,81,bf16]>mapping_from: (d0, d1, d2, d3, d4), mapping_to: (d0 * 12288 + d1 * 4096 + d2 * 64 + d3, d4), memory_config: (384, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 80, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 2560, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,4096,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 80, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,4096,2560,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 2560, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,4096,1280,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (4096, 1280, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,46,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 46, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,47,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 47, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,48,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,49,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 49, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,4,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,4,13,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,4,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,4,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,4,13,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (52, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,4,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 52 + d1 * 13 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,50,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 50, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,51,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 51, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,52,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 52, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,53,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 53, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,54,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 54, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,55,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 55, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 56, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,28,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (49, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (3136, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,28,56,128,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (1568, 128, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,28,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 56 + d2, d3), memory_config: (49, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,57,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 57, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,58,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 58, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,59,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 59, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,16,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,5,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,16,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,5,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,16,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,16,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (80, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 32, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (5, 16, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,5,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,4,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,5,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,4,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,5,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 24, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,5,4,768,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 768, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,5,4,256,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (20, 256, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,5,4,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 * 4 + d2, d3), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,60,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 60, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 10, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 10, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,10,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 10, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 11, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 11, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,11,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 11, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 12, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 12, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,12,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 12, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 13, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 13, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,13,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 13, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,14,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 14, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 15, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 15, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,15,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 15, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 6, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,6,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 6, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,6,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 6, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 7, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,7,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 7, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,7,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 7, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 8, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 8, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,8,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 8, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 9, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (192, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6144,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6144 + d1, d2), memory_config: (6144, 9, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,3072,9,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (3072, 9, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,3072,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,61,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 61, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,62,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 62, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,63,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 63, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 320, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 10240, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,5120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 5120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 320, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,10240,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 10240, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,5120,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (64, 5120, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 6, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,128,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 192, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 192, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,64,192,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 6, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,128,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (8192, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (2048, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,32,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 64 + d2, d3), memory_config: (64, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,64,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (4096, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,64,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,65,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 65, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,66,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 66, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,67,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 67, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,68,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 68, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,69,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 69, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 6, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,6,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,6,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,6,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (6, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,6,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,70,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 70, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,71,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 71, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,71,7,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,71,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,71,7,32,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (497, 32, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,71,7,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,72,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 12, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,72,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 384, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 384, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,72,384,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 12, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (162, 24, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,72,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5184 + d1 * 72 + d2, d3), memory_config: (5184, 768, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (4608, 768, 'f32', 'system_memory')layout: #ttnn.layouttensor<[1,64,72,768,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4608 + d1 * 72 + d2, d3), memory_config: (144, 24, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,73,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 73, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,74,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 74, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,75,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 75, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,76,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 76, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,77,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 77, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,78,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 78, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,79,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 79, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (4, 16, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,7,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (4, 16, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 98 + d1 * 14 + d2, d3), memory_config: (98, 512, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,7,512,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (49, 512, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,7,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 72, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 72, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 72, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,2304,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 2304, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,768,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (7, 768, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,7,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 511 + d1 * 73 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,7,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 511 + d1 * 73 + d2, d3), memory_config: (511, 64, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,7,71,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 71 + d2, d3), memory_config: (497, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,7,71,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 71 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,80,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 80, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,81,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 81, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,82,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 82, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,83,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 83, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,84,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 84, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,85,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 85, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,86,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 86, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,87,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 87, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,88,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 88, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,89,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 89, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (8, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,32,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,8,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,8,32,64,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (256, 64, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,8,32,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 32 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,90,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 90, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,91,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 91, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,92,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 92, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,93,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 93, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,94,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 94, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,95,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 95, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 3, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,96,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,97,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 97, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,98,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,99,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 99, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 9, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,96,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 96, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,96,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 128, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[1,9,16,bf16]>
!tt.device<#device>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (9, 16, 'bf16', 'dram')layout: #ttnn.layouttensor<[1,9,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[21,3,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 3, 'bf16', 'dram')layout: #ttnn.layouttensor<[21,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[21,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[21,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[21,21,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 21, 'bf16', 'dram')layout: #ttnn.layouttensor<[21,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (28, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[21,28,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (21, 28, 'bf16', 'dram')layout: #ttnn.layouttensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 2, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3234,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 4, 'f32', 'system_memory')nannan
ttnn.to_layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3234, 1, 'f32', 'system_memory')layout: #ttnn.layouttensor<[3234,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (102, 1, 'tile<32x32, f32>', 'system_memory')nannan
ttnn.to_layouttensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,3,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,7,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 7, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,3,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,21,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 21, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,3,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 3, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,49,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 49, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[49,3,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 3, 'bf16', 'dram')layout: #ttnn.layouttensor<[49,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[49,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[49,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[49,49,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 49, 'bf16', 'dram')layout: #ttnn.layouttensor<[49,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,3,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,7,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 7, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,3,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 28, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,21,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 21, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,21,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,3,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,49,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 49, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,49,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[3,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (3, 56, 'bf16', 'dram')layout: #ttnn.layouttensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[4,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 56, 'bf16', 'dram')layout: #ttnn.layouttensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (56, 56, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[49,56,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (49, 56, 'bf16', 'dram')layout: #ttnn.layouttensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[7,3,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 3, 'bf16', 'dram')layout: #ttnn.layouttensor<[7,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'system_memory')nannan
ttnn.to_layouttensor<[7,4,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 4, 'bf16', 'dram')layout: #ttnn.layouttensor<[7,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 14, 'bf16', 'system_memory')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.to_layouttensor<[7,7,bf16]>
!tt.device<#device>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 7, 'bf16', 'dram')layout: #ttnn.layouttensor<[7,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.to_layouttensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')layout: #ttnn.layout<row_major>tensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'ui32', 'system_memory')nannan
ttnn.to_layouttensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 12, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[12,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 45, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[45,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[5,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 5, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan
ttnn.to_layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'ui32', 'system_memory')layout: #ttnn.layouttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'system_memory')nannan

ttnn.typecast

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.typecasttensor<[16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16,8,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16,8,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[16,8,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 392 + d1 * 49 + d2, d3), memory_config: (196, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,201,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,201,201,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,201,201,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,201,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2412 + d1 * 201 + d2, d3), memory_config: (76, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,257,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,257,257,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,257,257,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,257,257,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3084 + d1 * 257 + d2, d3), memory_config: (97, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 8 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,197,197,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3152 + d1 * 197 + d2, d3), memory_config: (99, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,16384,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,16384,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,16384,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16384 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,19200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,19200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,19200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,19200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 19200 + d2, d3), memory_config: (600, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,27,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,27,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,27,257,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,27,257,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 9, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,2,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2,4096,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2,4096,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2,4096,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 4096 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,2,4800,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2,4800,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2,4800,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2,4800,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 4800 + d2, d3), memory_config: (300, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 49 + d2, d3), memory_config: (49, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,5,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,1024,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,5,1024,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,1024,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5120 + d1 * 1024 + d2, d3), memory_config: (160, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,5,1200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,1200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,5,1200,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,1200,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6000 + d1 * 1200 + d2, d3), memory_config: (188, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,2048,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,2048,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,2048,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,2048,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 2048 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,256,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,256,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,256,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,256,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,300,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,300,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,300,300,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,300,300,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 300 + d2, d3), memory_config: (75, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4,16,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[4,16,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[4,16,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 49 + d2, d3), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,4,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,4,49,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[64,4,49,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 49 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[8,100,100,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[8,100,100,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[8,100,100,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[8,100,100,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[8,100,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[8,100,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[8,100,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[8,100,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 100 + d1, d2), memory_config: (25, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[8,920,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[8,920,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[8,920,920,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[8,920,920,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 920 + d1, d2), memory_config: (230, 29, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[100,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[100,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[160,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[160,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[640,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1056,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (33, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1056,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1056,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (33, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1056,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (33, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1088,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1088,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1088,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (34, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1088,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (34, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1120,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1120,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[112,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[112,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[112,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[112,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[112,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1152,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1152,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1152,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1152,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (36, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[116,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[116,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1184,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (37, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1184,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (37, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (37, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,11,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[120,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[120,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[120,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[120,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1216,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1216,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1216,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1216,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1248,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1248,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1248,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1248,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (39, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[12,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[12,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1312,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1312,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1312,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1312,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1344,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1344,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1344,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1344,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[134,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[134,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[136,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[136,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1376,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1376,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1376,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1376,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (43, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1392,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1392,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1392,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1392,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,13,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1408,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1408,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1408,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1408,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1440,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (45, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1440,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1440,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (45, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1440,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (45, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[144,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[144,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1472,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (46, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1472,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1472,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (46, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1472,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (46, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[14,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[14,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1504,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1504,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1504,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1504,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1536,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1536,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1536,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1536,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1568,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1568,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1568,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1568,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,15,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1600,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (50, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1600,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1600,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (50, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1600,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (50, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[160,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[160,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[160,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[160,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[160,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[160,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1632,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1632,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1632,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1632,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1664,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (52, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1664,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1664,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (52, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1664,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (52, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[168,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[168,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1696,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1696,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1728,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (54, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1728,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (54, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (54, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1760,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (55, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1760,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1760,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (55, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1760,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (55, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1792,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1792,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1792,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1792,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1824,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1824,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[184,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[184,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[184,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1856,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (58, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1856,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (58, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1888,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1888,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[18,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[18,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[18,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[18,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[18,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1920,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1920,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1920,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1920,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1920,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1920,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[196,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[196,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,10,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,11,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,15,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,17,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,18,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,19,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,20,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,21,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,22,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,23,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,24,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,26,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,27,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,28,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,29,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,46,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,47,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,48,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,49,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,50,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,51,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,52,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,53,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,54,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,55,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,56,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,57,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,58,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,59,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,60,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,61,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,62,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,63,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,64,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,65,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,66,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,67,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,68,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,69,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,70,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,71,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,72,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,73,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,74,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,75,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,76,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,77,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,78,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,79,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,80,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,81,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,82,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,83,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,84,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,85,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,86,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,87,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,88,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,89,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,8,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,90,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,91,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,92,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,93,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,94,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,95,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,96,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,97,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,98,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,99,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,32,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,45,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,5,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[200,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[200,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[200,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2048,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2048,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2048,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[208,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[208,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[208,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[208,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[20,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[20,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[224,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[224,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[224,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[224,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[224,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[224,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[224,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[232,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[232,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[232,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[232,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[240,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[240,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[240,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[240,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[240,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[24,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[24,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[24,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[24,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[24,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[24,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[24,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[24,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[24,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2520,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2520,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2520,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (79, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2520,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (79, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2560,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2560,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2560,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2560,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[160,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[160,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[272,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[272,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[272,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[272,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[288,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[288,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[288,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[288,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[288,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[288,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[288,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (9, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[28,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[28,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[334,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[334,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[336,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[336,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[336,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[336,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[336,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[336,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[34,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[34,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[352,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[352,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[352,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[352,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[36,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[36,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[36,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[36,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[36,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[3712,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[3712,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[3712,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[3712,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (116, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[384,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[384,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[384,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[384,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[384,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[384,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[384,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[40,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[40,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[40,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[40,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[40,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[416,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (13, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[416,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[416,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (13, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[416,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (13, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[448,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[448,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[448,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[448,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[448,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[462,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[462,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[46,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[46,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[480,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[480,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[480,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[480,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[480,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (15, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[48,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[48,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[48,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[48,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[48,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[48,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[528,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[528,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[544,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (17, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[544,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (17, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[56,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[56,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[56,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[56,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[576,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[576,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[576,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[576,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[58,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[58,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[608,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[608,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (19, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[60,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[60,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[640,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[640,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,640,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,640,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[672,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[672,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[672,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[672,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[672,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[672,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[672,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[672,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[68,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[68,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[68,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[68,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[696,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[696,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[696,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[704,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[704,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (22, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[720,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[720,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[720,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[720,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[728,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[728,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[728,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[72,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[72,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[72,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[72,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[72,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[736,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[736,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (23, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[78,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[78,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4544,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4544,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2048,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[800,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[800,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[80,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[80,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[80,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[80,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[816,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[816,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[816,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[816,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[832,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[832,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (26, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[864,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (27, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[864,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (27, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[88,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[88,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[896,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[896,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[896,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[896,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[8,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[8,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[928,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[928,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[928,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[928,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[92,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[92,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[960,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[960,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[960,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[960,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[960,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[960,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[96,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[96,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[98,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[98,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[992,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (31, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[992,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[992,1,1,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (31, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[992,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (31, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2048,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4096,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2,1,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,10,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,10,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,11,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,11,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,11,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,11,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,13,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,13,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,13,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,13,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,14,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,15,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,15,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,15,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,15,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,17,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,17,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,17,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,17,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,18,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,18,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,18,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,19,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,19,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,19,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,19,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,20,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,20,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,20,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,20,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,21,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,21,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,21,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,21,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,22,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,22,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,22,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,22,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,23,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,23,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,23,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,23,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,24,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,24,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,25,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,25,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,25,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,25,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,26,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,26,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,26,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,26,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 26 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,27,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,27,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,27,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,27,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,28,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,28,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,29,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 29 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,29,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 29 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,29,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 29 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,29,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 29 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,32,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,5,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,5,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,7,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,9,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[45,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[45,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[45,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[45,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[5,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[5,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[5,1,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[5,1,1,1,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2048,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[2,1,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2,1,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32128,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1004, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[32128,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1004, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[2,13,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2,13,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2,13,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1200,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1200,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1370,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1370,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1445,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1445,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,14,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,14,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1500,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1500,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16384,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16384,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,19200,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,19200,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,196,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,196,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,197,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,197,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,197,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,197,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,201,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,201,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,257,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,257,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,25,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,25,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,28,28,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,28,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,300,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,8,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,4096,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,4096,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,4800,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4800,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,56,56,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,56,56,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,5120,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,5120,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,768,1500,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,1500,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 47, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,768,3000,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,3000,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 94, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,768,384,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,384,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 768 + d1, d2), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,18176,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,18176,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 568, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,7,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,7,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2048,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2048,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,5,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,32,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[160,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[160,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[640,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[640,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 + d2, d3), memory_config: (40, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[192,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[192,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1920,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1920,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1920,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1920,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2560,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2560,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2560,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2560,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[160,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[160,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,10,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,10,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,10,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,10,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,11,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,11,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,11,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,11,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,12,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,12,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,12,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,12,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,13,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,13,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,13,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,13,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,14,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,14,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,14,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,15,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,15,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,15,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,15,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,10,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,10,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,11,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,11,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,12,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,12,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,13,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,13,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,14,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,15,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,15,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,6,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,6,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,7,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,8,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,9,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,6,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,6,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,6,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,6,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,7,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,7,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,7,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,8,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,8,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,8,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,9,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,9,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,9,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,320,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[320,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[320,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,5,16,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,16,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 16 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,640,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,640,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,640,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,640,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 + d2, d3), memory_config: (20, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1280,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1280,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4544,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4544,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2048,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,960,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[128,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[128,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2048,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4096,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[768,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[4,13,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[4,13,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[14,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[14,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[56,56,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,100,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1056,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1056,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1088,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1120,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,112,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,112,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,112,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1152,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,116,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,120,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1216,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1216,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1248,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1248,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1312,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1312,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1344,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1344,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,134,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,136,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1376,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1376,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1392,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1408,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1408,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1440,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1472,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1472,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1504,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1504,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1536,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1536,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1568,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1568,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1600,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1600,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,160,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,160,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,160,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1632,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1632,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1664,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1664,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,168,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1696,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1696,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1728,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1728,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1760,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1760,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1792,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1792,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.typecasttensor<[1,1824,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1856,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1888,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,18,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1920,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,196,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2048,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2048,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,208,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,208,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,224,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,224,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,224,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,224,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,224,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,224,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,232,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,232,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,240,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,24,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,24,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,24,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,24,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,24,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,24,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,24,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2520,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,272,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,272,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,27,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,288,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,288,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,288,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,288,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,300,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,300,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,320,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,320,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,320,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,10,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,149,149,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,20,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,20,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,20,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,30,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,30,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,40,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,40,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,60,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,60,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,334,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,336,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,336,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,336,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,352,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,352,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,352,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,36,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,36,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3712,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,384,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,384,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,384,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,384,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,384,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,40,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,40,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,416,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,416,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,448,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,448,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,448,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,448,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,462,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,46,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,480,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,48,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,48,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,48,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,48,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,48,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,512,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,512,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,56,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,56,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,576,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,58,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,608,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,60,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,672,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,672,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,68,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,696,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,704,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,720,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,72,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,736,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,800,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,80,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,80,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,816,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,864,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,88,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,896,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,928,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,928,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,92,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,960,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,960,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,71,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,96,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,98,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,992,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,992,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,ui32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[100,192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 6, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[100,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[100,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[100,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[100,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[100,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[100,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[100,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[100,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[100,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[100,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[100,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[100,4,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[100,4,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[100,92,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[100,92,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (4, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1024,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1024,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,2560,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 80, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 80, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,51200,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 1600, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1024,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,5120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,640,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1024,640,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1024,640,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[10,250002,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[10,250002,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 7813, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[10,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[10,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[10,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[10,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[10,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[10,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[10,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1200,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1200,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1200,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1200,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1200,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1200,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[12,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[12,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[12,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[12,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[12,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[12,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[12,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[12,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[12,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[12,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[12,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[12,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[12,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[12,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[12,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[12,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[12,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1370,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1370,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1370,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1370,3840,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1370,3840,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 120, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1370,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1370,5120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1370,5120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1370,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (43, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[13,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[13,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[13,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[13,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[13,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[13,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[13,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[13,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1445,192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1445,192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1445,192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1445,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1445,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1445,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1445,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (46, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[14,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[14,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[14,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[14,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[14,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[14,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[14,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[14,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[14,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[14,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[14,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[14,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[14,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[14,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[14,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[14,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[14,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[14,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1500,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1500,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1500,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1500,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1500,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1500,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1500,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1536,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1536,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1536,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1536,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1536,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1536,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (48, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16384,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[16384,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[16384,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[16384,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[16384,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16384,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[16,1,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[16,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[16,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[16,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[16,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[16,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[16,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[19200,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[19200,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[19200,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[19200,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[19200,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[19200,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[196,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[196,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[196,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[196,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[196,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[196,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[196,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[196,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[196,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[196,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[196,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[196,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[196,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[197,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[197,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[197,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[197,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[197,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[197,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[197,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[197,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[197,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[197,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[197,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[197,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[197,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[197,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1000,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,100,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,100,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 14 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 10 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 14 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 16 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19456 + d1 * 19 + d2, d3), memory_config: (608, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 28 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1024,640,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,640,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1024 + d1, d2), memory_config: (32, 20, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1024,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1024,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 7 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1056,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1056,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14784 + d1 * 14 + d2, d3), memory_config: (462, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1056,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1056,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7392 + d1 * 7 + d2, d3), memory_config: (231, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1088,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1088,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15232 + d1 * 14 + d2, d3), memory_config: (476, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1088,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1088,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 7 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,10,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,10,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,10,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,10,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,10,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,10,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 10 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15680 + d1 * 14 + d2, d3), memory_config: (490, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1120,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1120,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 7 + d2, d3), memory_config: (245, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,112,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,112,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 14 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,112,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,112,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 15 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,112,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,112,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 24 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,112,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,112,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 7 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1152,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1152,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 14 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1152,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1152,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 7 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1152,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1152,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 8 + d2, d3), memory_config: (288, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,116,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,116,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 14 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16576 + d1 * 14 + d2, d3), memory_config: (518, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8288 + d1 * 7 + d2, d3), memory_config: (259, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,11,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,11,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,11,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,11,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,11,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1200,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1200,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1200 + d1, d2), memory_config: (38, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,120,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,120,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 14 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,120,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,120,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2040 + d1 * 17 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,120,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,120,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 28 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1216,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1216,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17024 + d1 * 14 + d2, d3), memory_config: (532, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1216,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1216,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 7 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1248,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1248,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17472 + d1 * 14 + d2, d3), memory_config: (546, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1248,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1248,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8736 + d1 * 7 + d2, d3), memory_config: (273, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1248,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1248,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11232 + d1 * 9 + d2, d3), memory_config: (351, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1280,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12800 + d1 * 10 + d2, d3), memory_config: (400, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1280,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 12 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1280,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17920 + d1 * 14 + d2, d3), memory_config: (560, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1280,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 16 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1280,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 32 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1280,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 7 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1280,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 8 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1280,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1280,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 9 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,128,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 112 + d2, d3), memory_config: (448, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 128 + d2, d3), memory_config: (512, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 14 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 150 + d2, d3), memory_config: (600, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2176 + d1 * 17 + d2, d3), memory_config: (68, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 28 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 32 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 56 + d2, d3), memory_config: (224, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 64 + d2, d3), memory_config: (256, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 75 + d2, d3), memory_config: (300, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,128,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,128,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 7 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,10,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,10,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 120 + d1 * 10 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,12,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,12,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,12,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 156 + d1 * 13 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,14,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,14,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1500,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1500,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1500,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,15,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,15,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 180 + d1 * 15 + d2, d3), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,16,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,16,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,17,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,17,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 204 + d1 * 17 + d2, d3), memory_config: (7, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,18,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,18,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 216 + d1 * 18 + d2, d3), memory_config: (7, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,197,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,197,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,197,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,19,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,19,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 228 + d1 * 19 + d2, d3), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.typecasttensor<[1,12,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,20,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 20 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,20,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 20 + d2, d3), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,21,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 21 + d2, d3), memory_config: (8, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,21,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 21 + d2, d3), memory_config: (8, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,22,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 264 + d1 * 22 + d2, d3), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,22,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 264 + d1 * 22 + d2, d3), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,23,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 276 + d1 * 23 + d2, d3), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,23,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 276 + d1 * 23 + d2, d3), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,24,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 24 + d2, d3), memory_config: (9, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,24,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 24 + d2, d3), memory_config: (9, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,25,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,25,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,25,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,25,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,26,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 312 + d1 * 26 + d2, d3), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,26,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 312 + d1 * 26 + d2, d3), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,27,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 324 + d1 * 27 + d2, d3), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,27,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 324 + d1 * 27 + d2, d3), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,28,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 28 + d2, d3), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,28,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 28 + d2, d3), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,29,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 * 29 + d2, d3), memory_config: (11, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,29,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 348 + d1 * 29 + d2, d3), memory_config: (11, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,45,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,45,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,46,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 552 + d1 * 46 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,46,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 552 + d1 * 46 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,47,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 564 + d1 * 47 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,47,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 564 + d1 * 47 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,48,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 48 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,48,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 48 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,49,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 588 + d1 * 49 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,49,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 588 + d1 * 49 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,50,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,50,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,50,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,50,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,51,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 612 + d1 * 51 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,51,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 612 + d1 * 51 + d2, d3), memory_config: (20, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,52,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 624 + d1 * 52 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,52,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 624 + d1 * 52 + d2, d3), memory_config: (20, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,53,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 636 + d1 * 53 + d2, d3), memory_config: (20, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,53,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 636 + d1 * 53 + d2, d3), memory_config: (20, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,54,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 648 + d1 * 54 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,54,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 648 + d1 * 54 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,55,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 660 + d1 * 55 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,55,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 660 + d1 * 55 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,56,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,56,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 56 + d2, d3), memory_config: (21, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,57,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 684 + d1 * 57 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,57,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 684 + d1 * 57 + d2, d3), memory_config: (22, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,58,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 58 + d2, d3), memory_config: (22, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,58,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 696 + d1 * 58 + d2, d3), memory_config: (22, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,59,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 708 + d1 * 59 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,59,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 708 + d1 * 59 + d2, d3), memory_config: (23, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,60,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 * 60 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,60,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 720 + d1 * 60 + d2, d3), memory_config: (23, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,61,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 732 + d1 * 61 + d2, d3), memory_config: (23, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,61,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 732 + d1 * 61 + d2, d3), memory_config: (23, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,62,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 744 + d1 * 62 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,62,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 744 + d1 * 62 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,63,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 756 + d1 * 63 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,63,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 756 + d1 * 63 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 64 + d2, d3), memory_config: (24, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,65,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 780 + d1 * 65 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,65,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 780 + d1 * 65 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,66,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 66 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,66,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 792 + d1 * 66 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,67,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 804 + d1 * 67 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,67,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 804 + d1 * 67 + d2, d3), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,68,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 * 68 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,68,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 816 + d1 * 68 + d2, d3), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,69,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 828 + d1 * 69 + d2, d3), memory_config: (26, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,69,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 828 + d1 * 69 + d2, d3), memory_config: (26, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,70,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 840 + d1 * 70 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,70,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 840 + d1 * 70 + d2, d3), memory_config: (27, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,71,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 852 + d1 * 71 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,71,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 852 + d1 * 71 + d2, d3), memory_config: (27, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,72,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 72 + d2, d3), memory_config: (27, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,72,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 864 + d1 * 72 + d2, d3), memory_config: (27, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,73,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 876 + d1 * 73 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,73,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 876 + d1 * 73 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,74,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 888 + d1 * 74 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,74,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 888 + d1 * 74 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,75,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 75 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,75,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 900 + d1 * 75 + d2, d3), memory_config: (29, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,76,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 912 + d1 * 76 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,76,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 912 + d1 * 76 + d2, d3), memory_config: (29, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,77,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 924 + d1 * 77 + d2, d3), memory_config: (29, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,77,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 924 + d1 * 77 + d2, d3), memory_config: (29, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,78,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 936 + d1 * 78 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,78,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 936 + d1 * 78 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,79,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 948 + d1 * 79 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,79,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 948 + d1 * 79 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 80 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 80 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,81,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 972 + d1 * 81 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,81,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 972 + d1 * 81 + d2, d3), memory_config: (31, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,82,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 984 + d1 * 82 + d2, d3), memory_config: (31, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,82,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 984 + d1 * 82 + d2, d3), memory_config: (31, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,83,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 996 + d1 * 83 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,83,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 996 + d1 * 83 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,84,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 84 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,84,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 84 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,85,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1020 + d1 * 85 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,85,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1020 + d1 * 85 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,86,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1032 + d1 * 86 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,86,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1032 + d1 * 86 + d2, d3), memory_config: (33, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,87,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1044 + d1 * 87 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,87,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1044 + d1 * 87 + d2, d3), memory_config: (33, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,88,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 * 88 + d2, d3), memory_config: (33, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,88,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1056 + d1 * 88 + d2, d3), memory_config: (33, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,89,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1068 + d1 * 89 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,89,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1068 + d1 * 89 + d2, d3), memory_config: (34, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,90,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 90 + d2, d3), memory_config: (34, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,90,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1080 + d1 * 90 + d2, d3), memory_config: (34, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,91,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 91 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,91,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1092 + d1 * 91 + d2, d3), memory_config: (35, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,92,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1104 + d1 * 92 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,92,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1104 + d1 * 92 + d2, d3), memory_config: (35, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,93,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1116 + d1 * 93 + d2, d3), memory_config: (35, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,93,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1116 + d1 * 93 + d2, d3), memory_config: (35, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,94,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1128 + d1 * 94 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,94,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1128 + d1 * 94 + d2, d3), memory_config: (36, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,95,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1140 + d1 * 95 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,95,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1140 + d1 * 95 + d2, d3), memory_config: (36, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,96,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 96 + d2, d3), memory_config: (36, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,96,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1152 + d1 * 96 + d2, d3), memory_config: (36, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,97,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1164 + d1 * 97 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,97,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1164 + d1 * 97 + d2, d3), memory_config: (37, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,98,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1176 + d1 * 98 + d2, d3), memory_config: (37, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,98,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1176 + d1 * 98 + d2, d3), memory_config: (37, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,99,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1188 + d1 * 99 + d2, d3), memory_config: (38, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,99,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1188 + d1 * 99 + d2, d3), memory_config: (38, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,12,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,12,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,12,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1312,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1312,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18368 + d1 * 14 + d2, d3), memory_config: (574, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1312,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1312,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9184 + d1 * 7 + d2, d3), memory_config: (287, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1344,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1344,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 14 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1344,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1344,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 28 + d2, d3), memory_config: (1176, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1344,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1344,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 7 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,134,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,134,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3752 + d1 * 28 + d2, d3), memory_config: (118, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,136,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,136,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2584 + d1 * 19 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1370,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1370,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1370 + d1, d2), memory_config: (43, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1376,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1376,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19264 + d1 * 14 + d2, d3), memory_config: (602, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1376,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1376,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9632 + d1 * 7 + d2, d3), memory_config: (301, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1392,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1392,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13920 + d1 * 10 + d2, d3), memory_config: (435, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1392,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1392,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 14 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1392,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1392,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 28 + d2, d3), memory_config: (1218, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,13,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,13,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,13,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,13,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,13,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,13,3584,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,13,3584,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,13,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,13,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1408,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1408,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19712 + d1 * 14 + d2, d3), memory_config: (616, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1408,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1408,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 7 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1440,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1440,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20160 + d1 * 14 + d2, d3), memory_config: (630, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1440,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1440,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 7 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1445,192,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1445,192,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1445 + d1, d2), memory_config: (46, 6, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,144,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 14 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21600 + d1 * 150 + d2, d3), memory_config: (675, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27360 + d1 * 190 + d2, d3), memory_config: (855, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 28 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4320 + d1 * 30 + d2, d3), memory_config: (135, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4752 + d1 * 33 + d2, d3), memory_config: (149, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 56 + d2, d3), memory_config: (252, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8640 + d1 * 60 + d2, d3), memory_config: (270, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9360 + d1 * 65 + d2, d3), memory_config: (293, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10800 + d1 * 75 + d2, d3), memory_config: (338, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 7 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,144,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,144,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13680 + d1 * 95 + d2, d3), memory_config: (428, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1472,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1472,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20608 + d1 * 14 + d2, d3), memory_config: (644, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1472,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1472,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 7 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,14,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,14,14,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,14,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,14,14,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,14,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 196 + d1 * 14 + d2, d3), memory_config: (7, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,14,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,14,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 56 + d2, d3), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,14,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,14,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1500,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1500,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 1500 + d1, d2), memory_config: (47, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1504,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1504,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21056 + d1 * 14 + d2, d3), memory_config: (658, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1504,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1504,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10528 + d1 * 7 + d2, d3), memory_config: (329, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,151936,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4748, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,151936,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4748, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1536,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15360 + d1 * 10 + d2, d3), memory_config: (480, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1536,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 14 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1536,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1536,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 7 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1568,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1568,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21952 + d1 * 14 + d2, d3), memory_config: (686, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1568,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1568,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10976 + d1 * 7 + d2, d3), memory_config: (343, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,15,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,15,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,15,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,15,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,15,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,15,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,15,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1600,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1600,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22400 + d1 * 14 + d2, d3), memory_config: (700, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1600,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1600,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 7 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,160,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,160,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 14 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,160,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,160,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 24 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,160,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,160,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 28 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,160,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,160,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 56 + d2, d3), memory_config: (280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,160,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,160,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 7 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1632,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1632,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19584 + d1 * 12 + d2, d3), memory_config: (612, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1632,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1632,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 22848 + d1 * 14 + d2, d3), memory_config: (714, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1632,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1632,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11424 + d1 * 7 + d2, d3), memory_config: (357, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16384,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16384,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16384 + d1, d2), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1664,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1664,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23296 + d1 * 14 + d2, d3), memory_config: (728, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1664,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1664,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 7 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,168,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,168,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 28 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1696,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1696,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23744 + d1 * 14 + d2, d3), memory_config: (742, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1696,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1696,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11872 + d1 * 7 + d2, d3), memory_config: (371, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,10,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,10,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 160 + d1 * 10 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 112 + d2, d3), memory_config: (56, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,11,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,11,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 176 + d1 * 11 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 120 + d2, d3), memory_config: (60, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,12,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,12,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 12 + d2, d3), memory_config: (6, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2080 + d1 * 130 + d2, d3), memory_config: (65, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1370,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1370,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1370,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1370,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,13,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,13,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 208 + d1 * 13 + d2, d3), memory_config: (7, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,14,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,14,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 14 + d2, d3), memory_config: (7, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,15,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,15,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 240 + d1 * 15 + d2, d3), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,16,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,16,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 16 + d2, d3), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,17,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,17,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 272 + d1 * 17 + d2, d3), memory_config: (9, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,18,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,18,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 288 + d1 * 18 + d2, d3), memory_config: (9, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,19,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,19,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 304 + d1 * 19 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,20,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,20,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 20 + d2, d3), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,21,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,21,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 21 + d2, d3), memory_config: (11, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 224 + d2, d3), memory_config: (112, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,22,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,22,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 352 + d1 * 22 + d2, d3), memory_config: (11, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,23,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,23,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 368 + d1 * 23 + d2, d3), memory_config: (12, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,24,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,24,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 24 + d2, d3), memory_config: (12, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,256,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,256,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,256,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,25,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 25 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,25,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 400 + d1 * 25 + d2, d3), memory_config: (13, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,26,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 * 26 + d2, d3), memory_config: (13, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,26,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 416 + d1 * 26 + d2, d3), memory_config: (13, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,27,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 27 + d2, d3), memory_config: (14, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,27,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 432 + d1 * 27 + d2, d3), memory_config: (14, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,28,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,28,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 28 + d2, d3), memory_config: (14, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,29,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 464 + d1 * 29 + d2, d3), memory_config: (15, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,29,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 464 + d1 * 29 + d2, d3), memory_config: (15, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 56 + d2, d3), memory_config: (28, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,5,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,5,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,5,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,5,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 5 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,6,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,6,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,6,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 16 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 112 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,8,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,8,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 8 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,9,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,9,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,9,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,16,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,16,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,16,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1728,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1728,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24192 + d1 * 14 + d2, d3), memory_config: (756, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1728,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1728,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 7 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1760,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1760,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24640 + d1 * 14 + d2, d3), memory_config: (770, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1760,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1760,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12320 + d1 * 7 + d2, d3), memory_config: (385, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1792,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1792,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25088 + d1 * 14 + d2, d3), memory_config: (784, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1792,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1792,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 7 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1824,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1824,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12768 + d1 * 7 + d2, d3), memory_config: (399, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,184,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,184,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2576 + d1 * 14 + d2, d3), memory_config: (81, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,184,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,184,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 7 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1856,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1856,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 7 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1888,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1888,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13216 + d1 * 7 + d2, d3), memory_config: (413, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,18,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,18,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 14 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,18,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,18,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 28 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,18,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,18,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 56 + d2, d3), memory_config: (32, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,18,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,18,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 126 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,19200,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,19200,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 19200 + d1, d2), memory_config: (600, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1920,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 60, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1920,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 60, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1920,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1920,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 16 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1920,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1920,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 32 + d2, d3), memory_config: (1920, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1920,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1920,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 7 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 14 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 17 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 28 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 35 + d2, d3), memory_config: (210, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7296 + d1 * 38 + d2, d3), memory_config: (228, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9216 + d1 * 48 + d2, d3), memory_config: (288, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 56 + d2, d3), memory_config: (336, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14400 + d1 * 75 + d2, d3), memory_config: (450, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 7 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1536 + d1 * 8 + d2, d3), memory_config: (48, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,192,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,192,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18240 + d1 * 95 + d2, d3), memory_config: (570, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,196,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,196,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 14 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,196,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,196,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 196 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,197,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,197,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,197,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,197,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 197 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,10,10,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,10,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,10,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,11,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 * 11 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,11,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11 + d1 * 11 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,12,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,12,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,12,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,12,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,12,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,12,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,1,13,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,13,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,13,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,13,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,14,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,14,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,14,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,15,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 * 15 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,15,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15 + d1 * 15 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,16,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,10,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,11,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,12,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,14,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,15,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,16,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,17,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,18,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,19,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,201,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,201,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,2048,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,20,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,21,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,22,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,23,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,24,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,26,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,27,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,28,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,29,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,8,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,1,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,256,256,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,25,25,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,32,ui32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,384,512,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 384 + d2, d3), memory_config: (12, 16, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,384,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 384 + d1 * 384 + d2, d3), memory_config: (12, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,51200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1600, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,6,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,6,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,6,6,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,7,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,7,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,7,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,1,8,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,8,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 * 8 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,9,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,9,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,1,9,9,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,200,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,200,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2800 + d1 * 14 + d2, d3), memory_config: (88, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,200,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,200,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1400 + d1 * 7 + d2, d3), memory_config: (44, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,201,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,201,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 201 + d1, d2), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2048,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 10 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,2048,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 14 + d2, d3), memory_config: (896, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,2048,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 2048 + d1, d2), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2048,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2048,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 7 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,208,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,208,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2912 + d1 * 14 + d2, d3), memory_config: (91, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,208,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,208,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1872 + d1 * 9 + d2, d3), memory_config: (59, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,20,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,20,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 28 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,21843,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,21843,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 683, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,224,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 14 + d2, d3), memory_config: (98, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,224,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 17 + d2, d3), memory_config: (119, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,224,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 28 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,224,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7840 + d1 * 35 + d2, d3), memory_config: (245, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,224,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 56 + d2, d3), memory_config: (392, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,224,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,224,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1568 + d1 * 7 + d2, d3), memory_config: (49, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,232,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,232,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2320 + d1 * 10 + d2, d3), memory_config: (73, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,232,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,232,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 112 + d2, d3), memory_config: (812, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,232,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,232,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 56 + d2, d3), memory_config: (406, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,240,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,240,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 14 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,240,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,240,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 15 + d2, d3), memory_config: (113, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,240,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,240,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 28 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,240,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,240,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 30 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,24,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 112 + d2, d3), memory_config: (84, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,24,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 14 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,24,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3600 + d1 * 150 + d2, d3), memory_config: (113, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,24,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4560 + d1 * 190 + d2, d3), memory_config: (143, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,24,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 28 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,24,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,24,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,24,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 56 + d2, d3), memory_config: (42, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,24,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1440 + d1 * 60 + d2, d3), memory_config: (45, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,24,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,24,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1560 + d1 * 65 + d2, d3), memory_config: (49, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,25088,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 784, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,25088,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 784, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2520,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 79, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2520,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 79, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2520,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2520,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 35280 + d1 * 14 + d2, d3), memory_config: (1103, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,2520,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2520,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 17640 + d1 * 7 + d2, d3), memory_config: (552, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,2560,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2560,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 16 + d2, d3), memory_config: (1280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,2560,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2560,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 8 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 128 + d2, d3), memory_config: (1024, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 14 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,160,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,160,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 16 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4352 + d1 * 17 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 28 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,32,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,32,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 32 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9728 + d1 * 38 + d2, d3), memory_config: (304, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 56 + d2, d3), memory_config: (448, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 256 + d1, d2), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,256,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 64 + d2, d3), memory_config: (512, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19200 + d1 * 75 + d2, d3), memory_config: (600, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 7 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,256,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,256,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 8 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,257,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,257,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 257 + d1, d2), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,25,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,25,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 25 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,272,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,272,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3264 + d1 * 12 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,272,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,272,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1904 + d1 * 7 + d2, d3), memory_config: (60, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,27,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,27,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,27,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 27 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,288,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 14 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,288,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4896 + d1 * 17 + d2, d3), memory_config: (153, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,288,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5472 + d1 * 19 + d2, d3), memory_config: (171, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,288,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 28 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,288,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9504 + d1 * 33 + d2, d3), memory_config: (297, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,288,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,288,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 38 + d2, d3), memory_config: (342, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,28,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,28,13,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,13,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,28,28,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,28,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,28,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,28,28,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,28,28,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 28 + d2, d3), memory_config: (25, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,300,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,300,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,300,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,300,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,300,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 300 + d1, d2), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,10,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,10,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 10 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,11,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,11,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 33792 + d1 * 11 + d2, d3), memory_config: (1056, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,12,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,12,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 36864 + d1 * 12 + d2, d3), memory_config: (1152, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,13,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,13,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 39936 + d1 * 13 + d2, d3), memory_config: (1248, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,14,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,14,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 43008 + d1 * 14 + d2, d3), memory_config: (1344, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,15,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,15,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 46080 + d1 * 15 + d2, d3), memory_config: (1440, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,16,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,16,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 3072 + d1, d2), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3072,6,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,6,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18432 + d1 * 6 + d2, d3), memory_config: (576, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,7,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,7,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21504 + d1 * 7 + d2, d3), memory_config: (672, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,8,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,8,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 24576 + d1 * 8 + d2, d3), memory_config: (768, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3072,9,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3072,9,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27648 + d1 * 9 + d2, d3), memory_config: (864, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3129,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3129,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 98, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,320,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4480 + d1 * 14 + d2, d3), memory_config: (140, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,320,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5440 + d1 * 17 + d2, d3), memory_config: (170, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,320,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 28 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,320,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 32 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,320,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 64 + d2, d3), memory_config: (640, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,320,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 7 + d2, d3), memory_config: (70, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,320,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,320,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 8 + d2, d3), memory_config: (80, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1004, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,10,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,10,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,10,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,10,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 320 + d1 * 10 + d2, d3), memory_config: (10, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 112 + d2, d3), memory_config: (112, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 120 + d2, d3), memory_config: (120, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 128 + d2, d3), memory_config: (128, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4160 + d1 * 130 + d2, d3), memory_config: (130, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 147 + d2, d3), memory_config: (147, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,149,149,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,149,149,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4768 + d1 * 149 + d2, d3), memory_config: (149, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 448 + d1 * 14 + d2, d3), memory_config: (14, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4800 + d1 * 150 + d2, d3), memory_config: (150, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,190,190,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,190,190,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6080 + d1 * 190 + d2, d3), memory_config: (190, 6, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,20,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,20,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,20,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,20,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,20,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,20,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 640 + d1 * 20 + d2, d3), memory_config: (20, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 256 + d2, d3), memory_config: (256, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 28 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,3072,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,30,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,30,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,30,4096,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,30,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 960 + d1 * 30 + d2, d3), memory_config: (30, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,32,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,32,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 32 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,40,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,40,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,40,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,40,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,40,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,40,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1280 + d1 * 40 + d2, d3), memory_config: (40, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,512,512,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,512,512,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 512 + d2, d3), memory_config: (512, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 56 + d2, d3), memory_config: (56, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,60,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,60,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,60,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,60,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 60 + d2, d3), memory_config: (60, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,75,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,75,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2400 + d1 * 75 + d2, d3), memory_config: (75, 3, 'tile<32x32, bf16>', 'dram')nannan
NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.typecasttensor<[1,32,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 224 + d1 * 7 + d2, d3), memory_config: (7, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,32,80,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,80,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,80,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,80,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2560 + d1 * 80 + d2, d3), memory_config: (80, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,32,95,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,32,95,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3040 + d1 * 95 + d2, d3), memory_config: (95, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,334,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,334,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4676 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,336,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,336,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 112 + d2, d3), memory_config: (1176, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,336,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,336,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 14 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,336,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,336,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 24 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,336,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,336,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 48 + d2, d3), memory_config: (504, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,336,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,336,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 56 + d2, d3), memory_config: (588, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,34,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,34,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 28 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,352,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,352,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4928 + d1 * 14 + d2, d3), memory_config: (154, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,352,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,352,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 28 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,352,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,352,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3168 + d1 * 9 + d2, d3), memory_config: (99, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,36,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,36,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 14 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,36,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,36,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 28 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,36,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,36,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 56 + d2, d3), memory_config: (63, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,36,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,36,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 252 + d1 * 7 + d2, d3), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3712,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 116, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3712,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 116, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3712,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3712,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 51968 + d1 * 14 + d2, d3), memory_config: (1624, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3712,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3712,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25984 + d1 * 7 + d2, d3), memory_config: (812, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,384,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 10 + d2, d3), memory_config: (120, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,384,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 14 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,384,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6528 + d1 * 17 + d2, d3), memory_config: (204, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,384,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 28 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,384,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 7 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,384,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,384,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3072 + d1 * 8 + d2, d3), memory_config: (96, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3,1445,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3,1445,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,3,1445,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3,1445,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,3,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,3,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 224 + d2, d3), memory_config: (21, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,4096,320,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,320,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,4096,64,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4096,64,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4096 + d1, d2), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,40,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,40,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 14 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,40,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,40,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 28 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,40,30,30,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,40,30,30,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 30 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,40,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,40,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 56 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,416,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,416,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5824 + d1 * 14 + d2, d3), memory_config: (182, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,416,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,416,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 28 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,448,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,448,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 12 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,448,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,448,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 14 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,448,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,448,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 28 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,448,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,448,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 8 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,45,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,45,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 45 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,462,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,462,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3234 + d1 * 7 + d2, d3), memory_config: (102, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,46,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,46,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 28 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,4800,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,4800,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 4800 + d1, d2), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,480,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,480,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 14 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,480,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,480,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7200 + d1 * 15 + d2, d3), memory_config: (225, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,480,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,480,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 28 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,480,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,480,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 7 + d2, d3), memory_config: (105, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,48,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,48,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 672 + d1 * 14 + d2, d3), memory_config: (21, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,48,33,33,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,48,33,33,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1584 + d1 * 33 + d2, d3), memory_config: (50, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,48,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,48,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 38 + d2, d3), memory_config: (57, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,48,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,48,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 56 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,48,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,48,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 336 + d1 * 7 + d2, d3), memory_config: (11, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,50272,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,50272,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,50,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,50,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 50 + d1, d2), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,51200,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,512,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 14 + d2, d3), memory_config: (224, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,512,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 16 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,512,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 28 + d2, d3), memory_config: (448, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,512,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 32 + d2, d3), memory_config: (512, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,512,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 28672 + d1 * 56 + d2, d3), memory_config: (896, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,512,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 7 + d2, d3), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,512,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,512,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 8 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,528,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,528,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8976 + d1 * 17 + d2, d3), memory_config: (281, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,544,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,544,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7616 + d1 * 14 + d2, d3), memory_config: (238, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,56,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,56,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 784 + d1 * 14 + d2, d3), memory_config: (25, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,56,48,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,56,48,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 48 + d2, d3), memory_config: (84, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,56,56,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,56,56,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3136 + d1 * 56 + d2, d3), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,576,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,576,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8064 + d1 * 14 + d2, d3), memory_config: (252, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,576,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,576,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10944 + d1 * 19 + d2, d3), memory_config: (342, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,576,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,576,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 7 + d2, d3), memory_config: (126, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,58,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,58,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1624 + d1 * 28 + d2, d3), memory_config: (51, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,5,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,5,51200,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1600, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,5,51200,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 5 + d1, d2), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,608,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,608,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8512 + d1 * 14 + d2, d3), memory_config: (266, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,60,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,60,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1680 + d1 * 28 + d2, d3), memory_config: (53, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,640,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,640,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8960 + d1 * 14 + d2, d3), memory_config: (280, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,640,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,640,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10240 + d1 * 16 + d2, d3), memory_config: (320, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,640,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,640,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 20480 + d1 * 32 + d2, d3), memory_config: (640, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,640,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,640,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 40960 + d1 * 64 + d2, d3), memory_config: (1280, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7168 + d1 * 112 + d2, d3), memory_config: (224, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,120,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,120,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7680 + d1 * 120 + d2, d3), memory_config: (240, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,1280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,1280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 64 + d1, d2), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,64,128,128,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,128,128,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 128 + d2, d3), memory_config: (256, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,147,147,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,147,147,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 147 + d2, d3), memory_config: (294, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 14 + d2, d3), memory_config: (28, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,150,150,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,150,150,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9600 + d1 * 150 + d2, d3), memory_config: (300, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,224,224,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,224,224,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14336 + d1 * 224 + d2, d3), memory_config: (448, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16384 + d1 * 256 + d2, d3), memory_config: (512, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1792 + d1 * 28 + d2, d3), memory_config: (56, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,30,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,30,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1920 + d1 * 30 + d2, d3), memory_config: (60, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2240 + d1 * 35 + d2, d3), memory_config: (70, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3584 + d1 * 56 + d2, d3), memory_config: (112, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,60,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,60,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3840 + d1 * 60 + d2, d3), memory_config: (120, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 64 + d2, d3), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4672 + d1 * 73 + d2, d3), memory_config: (146, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,64,9,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,64,9,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,672,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9408 + d1 * 14 + d2, d3), memory_config: (294, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,672,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10080 + d1 * 15 + d2, d3), memory_config: (315, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,672,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16128 + d1 * 24 + d2, d3), memory_config: (504, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,672,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18816 + d1 * 28 + d2, d3), memory_config: (588, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,672,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 37632 + d1 * 56 + d2, d3), memory_config: (1176, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,672,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4704 + d1 * 7 + d2, d3), memory_config: (147, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,672,8,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,672,8,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 8 + d2, d3), memory_config: (168, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,68,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,68,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 952 + d1 * 14 + d2, d3), memory_config: (30, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,68,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,68,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3808 + d1 * 56 + d2, d3), memory_config: (119, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,696,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,696,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 19488 + d1 * 28 + d2, d3), memory_config: (609, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,696,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,696,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 38976 + d1 * 56 + d2, d3), memory_config: (1218, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 90 + d1 * 15 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,6,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,6,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,6,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,704,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,704,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9856 + d1 * 14 + d2, d3), memory_config: (308, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,71,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,71,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,720,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,720,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12240 + d1 * 17 + d2, d3), memory_config: (383, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,720,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,720,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6480 + d1 * 9 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,728,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,728,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13832 + d1 * 19 + d2, d3), memory_config: (433, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,728,38,38,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,728,38,38,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 27664 + d1 * 38 + d2, d3), memory_config: (865, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,72,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,72,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1008 + d1 * 14 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,72,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,72,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2016 + d1 * 28 + d2, d3), memory_config: (63, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,72,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,72,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4032 + d1 * 56 + d2, d3), memory_config: (126, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,72,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,72,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 504 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,736,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,736,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10304 + d1 * 14 + d2, d3), memory_config: (322, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,768,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,768,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 14 + d2, d3), memory_config: (336, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,784,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,784,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,784,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 25, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,78,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,78,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2184 + d1 * 28 + d2, d3), memory_config: (69, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,7,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.typecasttensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,7,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,7,4544,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,4544,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 142, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,7,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,7,7,1024,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,7,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,7,7,2048,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,7,7,2048,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 49 + d1 * 7 + d2, d3), memory_config: (2, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,800,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,800,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11200 + d1 * 14 + d2, d3), memory_config: (350, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,80,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,80,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1120 + d1 * 14 + d2, d3), memory_config: (35, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,80,15,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,80,15,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1200 + d1 * 15 + d2, d3), memory_config: (38, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,80,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,80,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 560 + d1 * 7 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,816,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,816,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8160 + d1 * 10 + d2, d3), memory_config: (255, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,816,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,816,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 15504 + d1 * 19 + d2, d3), memory_config: (485, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,832,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,832,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11648 + d1 * 14 + d2, d3), memory_config: (364, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,864,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,864,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12096 + d1 * 14 + d2, d3), memory_config: (378, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,88,17,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,88,17,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1496 + d1 * 17 + d2, d3), memory_config: (47, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,896,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,896,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12544 + d1 * 14 + d2, d3), memory_config: (392, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,896,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,896,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6272 + d1 * 7 + d2, d3), memory_config: (196, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1024,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1024,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1024,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1024,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,10,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 80 + d1 * 10 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 896 + d1 * 112 + d2, d3), memory_config: (28, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,1,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,2,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,2,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,4,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,4,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,5,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,256,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,256,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,256,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,256,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,4096,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,4096,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,4096,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,4096,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,64,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,64,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,64,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,64,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,8,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,9,160,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,9,160,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,9,40,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,9,40,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,8,9,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 3, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,8,9,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 72 + d1 * 9 + d2, d3), memory_config: (3, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9216,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 288, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9216,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 288, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,928,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,928,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12992 + d1 * 14 + d2, d3), memory_config: (406, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,928,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,928,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6496 + d1 * 7 + d2, d3), memory_config: (203, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,92,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,92,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1288 + d1 * 14 + d2, d3), memory_config: (41, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,960,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 30, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 30, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,960,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 12 + d2, d3), memory_config: (360, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,960,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13440 + d1 * 14 + d2, d3), memory_config: (420, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,960,24,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,24,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 23040 + d1 * 24 + d2, d3), memory_config: (720, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,960,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 30720 + d1 * 32 + d2, d3), memory_config: (960, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,960,3,3,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,3,3,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2880 + d1 * 3 + d2, d3), memory_config: (90, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,960,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,64,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 61440 + d1 * 64 + d2, d3), memory_config: (1920, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,960,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,960,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6720 + d1 * 7 + d2, d3), memory_config: (210, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,112,112,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,112,112,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10752 + d1 * 112 + d2, d3), memory_config: (336, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,120,120,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,120,120,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 11520 + d1 * 120 + d2, d3), memory_config: (360, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,130,130,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,130,130,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12480 + d1 * 130 + d2, d3), memory_config: (390, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1344 + d1 * 14 + d2, d3), memory_config: (42, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,19,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,19,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1824 + d1 * 19 + d2, d3), memory_config: (57, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2688 + d1 * 28 + d2, d3), memory_config: (84, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,35,35,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,35,35,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 3360 + d1 * 35 + d2, d3), memory_config: (105, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,56,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,56,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5376 + d1 * 56 + d2, d3), memory_config: (168, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,60,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,60,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5760 + d1 * 60 + d2, d3), memory_config: (180, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,65,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,65,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6240 + d1 * 65 + d2, d3), memory_config: (195, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,71,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,71,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6816 + d1 * 71 + d2, d3), memory_config: (213, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,96,73,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,96,73,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7008 + d1 * 73 + d2, d3), memory_config: (219, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,98,28,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,98,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2744 + d1 * 28 + d2, d3), memory_config: (86, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,992,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,992,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13888 + d1 * 14 + d2, d3), memory_config: (434, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,992,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,992,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6944 + d1 * 7 + d2, d3), memory_config: (217, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,9,1024,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,1024,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,9,128,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,128,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,9,1536,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,1536,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,9,2048,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,2048,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,9,4096,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,4096,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,50280,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1572, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,50280,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 1572, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[1,9,768,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[1,9,768,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[201,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[201,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[201,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[201,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[201,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[201,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[201,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (7, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2048,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2048,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2048,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2048,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2048,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (64, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,10240,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 320, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,160,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,160,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 5, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,32,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,32,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,5120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 160, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[256,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[256,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[256,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[256,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (8, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[257,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[257,2304,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 72, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[257,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[257,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[257,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[257,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[257,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[257,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[257,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (9, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[25,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[25,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[25,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[25,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[25,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[25,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[25,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[25,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[25,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[27,30522,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[27,30522,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 954, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[27,38,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[27,38,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[27,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[27,50257,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[27,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[27,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[2,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2,1,7,7,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2,7,512,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2,7,512,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[2,8,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[2,8,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[2,8,7,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[2,8,7,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[300,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[300,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[300,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[300,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[300,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[300,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[300,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[300,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[300,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[300,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[300,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[300,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[300,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[300,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[300,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[300,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[300,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[300,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (10, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[3136,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[3136,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[3136,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[3136,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[3136,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[3136,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (98, 12, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[32,1536,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,1536,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 48, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[32,4608,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[32,4608,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 144, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[32,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[32,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[32,6144,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[32,6144,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 192, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[3584,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[3584,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[3584,2,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 1, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[3584,2,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[3584,3584,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 112, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[3584,3584,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 112, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[3584,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[3584,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (112, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[4096,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[4096,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[4096,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[4096,2560,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,2560,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 80, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4096,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4096,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4096,320,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,320,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 10, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[4096,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4096,64,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4096,64,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (128, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[45,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[45,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[45,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[45,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[45,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[45,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[45,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[45,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[4800,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[4800,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4800,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[4800,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[4800,512,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[4800,512,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (150, 16, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[49,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[49,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[49,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[49,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[49,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[4,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[4,1,1,13,ui32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')dtype: #tt.supportedDataTypestensor<[4,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[50,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[50,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[50,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[50,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[50,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[50,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[50,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[51200,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[51200,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[512,bf16]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[512,f32]>mapping_from: (d0), mapping_to: (0, d0), memory_config: (1, 16, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[5,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[5,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[5,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[5,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[5,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[5,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[5,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[5,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[5,51200,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[5,51200,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1600, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[64,10240,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[64,10240,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 320, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[64,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[64,1280,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,1280,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 40, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[64,5120,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 160, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[64,5120,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 160, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[6,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[6,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[6,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[6,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[6,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[6,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[6,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[6,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[6,6,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[768,196,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[768,196,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 7, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[768,384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[768,384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (24, 12, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[784,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[784,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[784,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[784,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[784,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (25, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[7,2304,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[7,2304,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 72, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[7,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[7,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[7,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[7,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[7,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[7,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[7,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[920,1,256,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[920,1,256,f32]>mapping_from: (d0, d1, d2), mapping_to: (d0 + d1, d2), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[920,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[920,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[920,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[920,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[920,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[920,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[920,256,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[920,256,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (29, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[9,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[9,1024,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[9,1024,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[9,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[9,128,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[9,128,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[9,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[9,16384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[9,16384,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[9,16384,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 512, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[9,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[9,2048,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[9,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[9,30000,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[9,30000,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 938, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[9,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[9,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[9,3072,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[9,3072,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 96, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[9,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[9,4096,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[9,4096,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[9,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[9,768,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[9,768,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 24, 'tile<32x32, f32>', 'dram')nannan
ttnn.typecasttensor<[9,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')dtype: #tt.supportedDataTypestensor<[9,8192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')nannan
ttnn.typecasttensor<[9,8192,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, bf16>', 'dram')dtype: #tt.supportedDataTypestensor<[9,8192,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 256, 'tile<32x32, f32>', 'dram')nannan

ttnn.where

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.wheretensor<[1,12,12,1,bf16]>
tensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,f32]>
tensor<[1,12,12,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,12,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 12 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,14,1,bf16]>
tensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,f32]>
tensor<[1,12,14,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,14,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 168 + d1 * 14 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1500,1,bf16]>
tensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,f32]>
tensor<[1,12,1500,1500,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1500,1500,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 18000 + d1 * 1500 + d2, d3), memory_config: (563, 47, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,16,1,bf16]>
tensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,f32]>
tensor<[1,12,16,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,16,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 192 + d1 * 16 + d2, d3), memory_config: (6, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,197,1,bf16]>
tensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
tensor<[1,12,197,197,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,197,197,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2364 + d1 * 197 + d2, d3), memory_config: (74, 7, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
tensor<[1,12,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
tensor<[1,12,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
tensor<[1,12,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
tensor<[1,12,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
tensor<[1,12,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
tensor<[1,12,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
tensor<[1,12,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
tensor<[1,12,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,f32]>
tensor<[1,12,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,f32]>
tensor<[1,12,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,f32]>
tensor<[1,12,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,f32]>
tensor<[1,12,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,f32]>
tensor<[1,12,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,f32]>
tensor<[1,12,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,f32]>
tensor<[1,12,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,f32]>
tensor<[1,12,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,1,1,bf16]>
tensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,f32]>
tensor<[1,12,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,25,1,bf16]>
tensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,f32]>
tensor<[1,12,25,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,25,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 300 + d1 * 25 + d2, d3), memory_config: (10, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,50,1,bf16]>
tensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,f32]>
tensor<[1,12,50,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,50,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 600 + d1 * 50 + d2, d3), memory_config: (19, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,7,1,bf16]>
tensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,f32]>
tensor<[1,12,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 84 + d1 * 7 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,12,9,1,bf16]>
tensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,f32]>
tensor<[1,12,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 108 + d1 * 9 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1370,1,bf16]>
tensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,f32]>
tensor<[1,16,1370,1370,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1370,1370,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 21920 + d1 * 1370 + d2, d3), memory_config: (685, 43, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
tensor<[1,16,1,10,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,10,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
tensor<[1,16,1,11,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,11,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
tensor<[1,16,1,12,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,12,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
tensor<[1,16,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
tensor<[1,16,1,14,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,14,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
tensor<[1,16,1,15,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,15,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
tensor<[1,16,1,16,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,16,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
tensor<[1,16,1,17,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,17,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
tensor<[1,16,1,18,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,18,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
tensor<[1,16,1,19,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,19,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
tensor<[1,16,1,20,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,20,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
tensor<[1,16,1,21,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,21,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
tensor<[1,16,1,22,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,22,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
tensor<[1,16,1,23,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,23,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
tensor<[1,16,1,24,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,24,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,f32]>
tensor<[1,16,1,25,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,25,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,f32]>
tensor<[1,16,1,26,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,26,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,f32]>
tensor<[1,16,1,27,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,27,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,f32]>
tensor<[1,16,1,28,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,28,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,f32]>
tensor<[1,16,1,29,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,29,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
tensor<[1,16,1,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
tensor<[1,16,1,8,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,8,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,1,1,bf16]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
tensor<[1,16,1,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,1,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,256,1,bf16]>
tensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,f32]>
tensor<[1,16,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4096 + d1 * 256 + d2, d3), memory_config: (128, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,6,1,bf16]>
tensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,f32]>
tensor<[1,16,6,6,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,6,6,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 96 + d1 * 6 + d2, d3), memory_config: (3, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,16,9,1,bf16]>
tensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,f32]>
tensor<[1,16,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 144 + d1 * 9 + d2, d3), memory_config: (5, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,24,32,1,bf16]>
tensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,f32]>
tensor<[1,24,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,24,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 768 + d1 * 32 + d2, d3), memory_config: (24, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,28,13,1,bf16]>
tensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,f32]>
tensor<[1,28,13,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,28,13,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 364 + d1 * 13 + d2, d3), memory_config: (12, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,32,32,1,bf16]>
tensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,f32]>
tensor<[1,32,32,32,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,32,32,32,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 1024 + d1 * 32 + d2, d3), memory_config: (32, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,3,1445,1,bf16]>
tensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,f32]>
tensor<[1,3,1445,1445,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,3,1445,1445,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 4335 + d1 * 1445 + d2, d3), memory_config: (136, 46, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,64,9,1,bf16]>
tensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,f32]>
tensor<[1,64,9,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,64,9,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 576 + d1 * 9 + d2, d3), memory_config: (18, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,71,7,1,bf16]>
tensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,f32]>
tensor<[1,71,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,71,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 497 + d1 * 7 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,8,1024,1,bf16]>
tensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,f32]>
tensor<[1,8,1024,1024,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,8,1024,1024,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 32, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,8,1024,1,bf16]>
tensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,f32]>
tensor<[1,8,1024,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,8,1024,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 8192 + d1 * 1024 + d2, d3), memory_config: (256, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,8,256,1,bf16]>
tensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
tensor<[1,8,256,256,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,8,256,256,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 8, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,8,256,1,bf16]>
tensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,f32]>
tensor<[1,8,256,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,8,256,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 2048 + d1 * 256 + d2, d3), memory_config: (64, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,8,4096,1,bf16]>
tensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,f32]>
tensor<[1,8,4096,4096,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,8,4096,4096,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 128, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,8,4096,1,bf16]>
tensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,f32]>
tensor<[1,8,4096,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,8,4096,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32768 + d1 * 4096 + d2, d3), memory_config: (1024, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,8,64,1,bf16]>
tensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,f32]>
tensor<[1,8,64,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,8,64,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,8,64,1,bf16]>
tensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,f32]>
tensor<[1,8,64,9,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,8,64,9,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 64 + d2, d3), memory_config: (16, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[2,8,7,1,bf16]>
tensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,f32]>
tensor<[2,8,7,7,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[2,8,7,7,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 56 + d1 * 7 + d2, d3), memory_config: (4, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[4,16,1,1,bf16]>
tensor<[4,16,1,1,f32]>
tensor<[4,16,1,1,f32]>
tensor<[4,16,1,1,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[4,16,1,1,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 + d2, d3), memory_config: (2, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
tensor<[1,11,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,11,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 11 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
tensor<[1,12,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 12 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
tensor<[1,13,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,13,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 13 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
tensor<[1,14,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,14,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 14 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
tensor<[1,15,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,15,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 15 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
tensor<[1,6,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,6,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 6 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
tensor<[1,7,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,7,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 7 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
tensor<[1,8,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,8,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 8 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
tensor<[1,9,3072,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,9,3072,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 9 + d1, d2), memory_config: (1, 96, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[5,5,bf16]>
tensor<[5,5,bf16]>
tensor<[5,5,bf16]>
tensor<[5,5,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[5,5,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[16,49,49,bf16]>
tensor<[16,49,49,bf16]>
tensor<[16,49,49,bf16]>
tensor<[16,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[16,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (25, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,10,bf16]>
tensor<[1,10,ui32]>
tensor<[1,10,ui32]>
tensor<[1,10,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,10,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,11,bf16]>
tensor<[1,11,ui32]>
tensor<[1,11,ui32]>
tensor<[1,11,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,11,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,12,bf16]>
tensor<[1,12,ui32]>
tensor<[1,12,ui32]>
tensor<[1,12,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,13,bf16]>
tensor<[1,13,ui32]>
tensor<[1,13,ui32]>
tensor<[1,13,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,13,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,14,bf16]>
tensor<[3,14,bf16]>
tensor<[3,14,bf16]>
tensor<[3,14,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[3,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,14,bf16]>
tensor<[4,14,bf16]>
tensor<[4,14,bf16]>
tensor<[4,14,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[4,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,14,bf16]>
tensor<[7,14,bf16]>
tensor<[7,14,bf16]>
tensor<[7,14,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[7,14,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,14,bf16]>
tensor<[1,14,ui32]>
tensor<[1,14,ui32]>
tensor<[1,14,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,14,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,15,bf16]>
tensor<[1,15,ui32]>
tensor<[1,15,ui32]>
tensor<[1,15,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,15,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,16,bf16]>
tensor<[1,16,ui32]>
tensor<[1,16,ui32]>
tensor<[1,16,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,16,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,17,bf16]>
tensor<[1,17,ui32]>
tensor<[1,17,ui32]>
tensor<[1,17,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,17,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,18,bf16]>
tensor<[1,18,ui32]>
tensor<[1,18,ui32]>
tensor<[1,18,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,18,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,19,bf16]>
tensor<[1,19,ui32]>
tensor<[1,19,ui32]>
tensor<[1,19,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,19,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,1,10,10,bf16]>
tensor<[1,1,10,10,bf16]>
tensor<[1,1,10,10,bf16]>
tensor<[1,1,10,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,10,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 10 + d1 * 10 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,12,12,bf16]>
tensor<[1,1,12,12,bf16]>
tensor<[1,1,12,12,bf16]>
tensor<[1,1,12,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,12,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 * 12 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,13,13,bf16]>
tensor<[1,1,13,13,bf16]>
tensor<[1,1,13,13,bf16]>
tensor<[1,1,13,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,13,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 13 + d1 * 13 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,14,14,bf16]>
tensor<[1,1,14,14,bf16]>
tensor<[1,1,14,14,bf16]>
tensor<[1,1,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 14 + d1 * 14 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,16,16,bf16]>
tensor<[1,1,16,16,bf16]>
tensor<[1,1,16,16,bf16]>
tensor<[1,1,16,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,16,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 16 + d1 * 16 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
tensor<[1,1,1,10,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,10,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
tensor<[1,1,1,11,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,11,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
tensor<[1,1,1,12,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,12,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
tensor<[1,1,1,13,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,13,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
tensor<[1,1,1,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
tensor<[1,1,1,15,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,15,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
tensor<[1,1,1,16,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,16,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
tensor<[1,1,1,17,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,17,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
tensor<[1,1,1,18,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,18,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
tensor<[1,1,1,19,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,19,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
tensor<[1,1,1,20,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,20,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
tensor<[1,1,1,21,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,21,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
tensor<[1,1,1,22,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,22,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
tensor<[1,1,1,23,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,23,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
tensor<[1,1,1,24,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,24,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
tensor<[1,1,1,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
tensor<[1,1,1,26,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,26,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
tensor<[1,1,1,27,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,27,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
tensor<[1,1,1,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
tensor<[1,1,1,29,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,29,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,46,bf16]>
tensor<[1,12,1,46,f32]>
tensor<[1,12,1,46,f32]>
tensor<[1,12,1,46,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,46,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,46,bf16]>
tensor<[1,1,1,46,bf16]>
tensor<[1,1,1,46,bf16]>
tensor<[1,1,1,46,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,46,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,47,bf16]>
tensor<[1,12,1,47,f32]>
tensor<[1,12,1,47,f32]>
tensor<[1,12,1,47,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,47,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,47,bf16]>
tensor<[1,1,1,47,bf16]>
tensor<[1,1,1,47,bf16]>
tensor<[1,1,1,47,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,47,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,48,bf16]>
tensor<[1,12,1,48,f32]>
tensor<[1,12,1,48,f32]>
tensor<[1,12,1,48,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,48,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,48,bf16]>
tensor<[1,1,1,48,bf16]>
tensor<[1,1,1,48,bf16]>
tensor<[1,1,1,48,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,48,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,49,bf16]>
tensor<[1,12,1,49,f32]>
tensor<[1,12,1,49,f32]>
tensor<[1,12,1,49,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,49,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,49,bf16]>
tensor<[1,1,1,49,bf16]>
tensor<[1,1,1,49,bf16]>
tensor<[1,1,1,49,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,49,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,50,bf16]>
tensor<[1,12,1,50,f32]>
tensor<[1,12,1,50,f32]>
tensor<[1,12,1,50,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,50,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,50,bf16]>
tensor<[1,1,1,50,bf16]>
tensor<[1,1,1,50,bf16]>
tensor<[1,1,1,50,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,50,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,51,bf16]>
tensor<[1,12,1,51,f32]>
tensor<[1,12,1,51,f32]>
tensor<[1,12,1,51,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,51,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,51,bf16]>
tensor<[1,1,1,51,bf16]>
tensor<[1,1,1,51,bf16]>
tensor<[1,1,1,51,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,51,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,52,bf16]>
tensor<[1,12,1,52,f32]>
tensor<[1,12,1,52,f32]>
tensor<[1,12,1,52,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,52,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,52,bf16]>
tensor<[1,1,1,52,bf16]>
tensor<[1,1,1,52,bf16]>
tensor<[1,1,1,52,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,52,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,53,bf16]>
tensor<[1,12,1,53,f32]>
tensor<[1,12,1,53,f32]>
tensor<[1,12,1,53,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,53,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,53,bf16]>
tensor<[1,1,1,53,bf16]>
tensor<[1,1,1,53,bf16]>
tensor<[1,1,1,53,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,53,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,54,bf16]>
tensor<[1,12,1,54,f32]>
tensor<[1,12,1,54,f32]>
tensor<[1,12,1,54,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,54,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,54,bf16]>
tensor<[1,1,1,54,bf16]>
tensor<[1,1,1,54,bf16]>
tensor<[1,1,1,54,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,54,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,55,bf16]>
tensor<[1,12,1,55,f32]>
tensor<[1,12,1,55,f32]>
tensor<[1,12,1,55,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,55,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,55,bf16]>
tensor<[1,1,1,55,bf16]>
tensor<[1,1,1,55,bf16]>
tensor<[1,1,1,55,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,55,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,56,bf16]>
tensor<[1,12,1,56,f32]>
tensor<[1,12,1,56,f32]>
tensor<[1,12,1,56,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,56,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,56,bf16]>
tensor<[1,1,1,56,bf16]>
tensor<[1,1,1,56,bf16]>
tensor<[1,1,1,56,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,56,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,57,bf16]>
tensor<[1,12,1,57,f32]>
tensor<[1,12,1,57,f32]>
tensor<[1,12,1,57,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,57,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,57,bf16]>
tensor<[1,1,1,57,bf16]>
tensor<[1,1,1,57,bf16]>
tensor<[1,1,1,57,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,57,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,58,bf16]>
tensor<[1,12,1,58,f32]>
tensor<[1,12,1,58,f32]>
tensor<[1,12,1,58,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,58,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,58,bf16]>
tensor<[1,1,1,58,bf16]>
tensor<[1,1,1,58,bf16]>
tensor<[1,1,1,58,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,58,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,59,bf16]>
tensor<[1,12,1,59,f32]>
tensor<[1,12,1,59,f32]>
tensor<[1,12,1,59,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,59,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,59,bf16]>
tensor<[1,1,1,59,bf16]>
tensor<[1,1,1,59,bf16]>
tensor<[1,1,1,59,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,59,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,60,bf16]>
tensor<[1,12,1,60,f32]>
tensor<[1,12,1,60,f32]>
tensor<[1,12,1,60,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,60,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,60,bf16]>
tensor<[1,1,1,60,bf16]>
tensor<[1,1,1,60,bf16]>
tensor<[1,1,1,60,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,60,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,61,bf16]>
tensor<[1,12,1,61,f32]>
tensor<[1,12,1,61,f32]>
tensor<[1,12,1,61,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,61,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,61,bf16]>
tensor<[1,1,1,61,bf16]>
tensor<[1,1,1,61,bf16]>
tensor<[1,1,1,61,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,61,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,62,bf16]>
tensor<[1,12,1,62,f32]>
tensor<[1,12,1,62,f32]>
tensor<[1,12,1,62,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,62,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,62,bf16]>
tensor<[1,1,1,62,bf16]>
tensor<[1,1,1,62,bf16]>
tensor<[1,1,1,62,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,62,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,63,bf16]>
tensor<[1,12,1,63,f32]>
tensor<[1,12,1,63,f32]>
tensor<[1,12,1,63,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,63,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,63,bf16]>
tensor<[1,1,1,63,bf16]>
tensor<[1,1,1,63,bf16]>
tensor<[1,1,1,63,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,63,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,64,bf16]>
tensor<[1,12,1,64,f32]>
tensor<[1,12,1,64,f32]>
tensor<[1,12,1,64,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,64,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,64,bf16]>
tensor<[1,1,1,64,bf16]>
tensor<[1,1,1,64,bf16]>
tensor<[1,1,1,64,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,64,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,65,bf16]>
tensor<[1,12,1,65,f32]>
tensor<[1,12,1,65,f32]>
tensor<[1,12,1,65,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,65,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,65,bf16]>
tensor<[1,1,1,65,bf16]>
tensor<[1,1,1,65,bf16]>
tensor<[1,1,1,65,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,65,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,66,bf16]>
tensor<[1,12,1,66,f32]>
tensor<[1,12,1,66,f32]>
tensor<[1,12,1,66,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,66,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,66,bf16]>
tensor<[1,1,1,66,bf16]>
tensor<[1,1,1,66,bf16]>
tensor<[1,1,1,66,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,66,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,67,bf16]>
tensor<[1,12,1,67,f32]>
tensor<[1,12,1,67,f32]>
tensor<[1,12,1,67,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,67,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,67,bf16]>
tensor<[1,1,1,67,bf16]>
tensor<[1,1,1,67,bf16]>
tensor<[1,1,1,67,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,67,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,68,bf16]>
tensor<[1,12,1,68,f32]>
tensor<[1,12,1,68,f32]>
tensor<[1,12,1,68,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,68,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,68,bf16]>
tensor<[1,1,1,68,bf16]>
tensor<[1,1,1,68,bf16]>
tensor<[1,1,1,68,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,68,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,69,bf16]>
tensor<[1,12,1,69,f32]>
tensor<[1,12,1,69,f32]>
tensor<[1,12,1,69,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,69,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,69,bf16]>
tensor<[1,1,1,69,bf16]>
tensor<[1,1,1,69,bf16]>
tensor<[1,1,1,69,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,69,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,6,bf16]>
tensor<[1,1,1,6,bf16]>
tensor<[1,1,1,6,bf16]>
tensor<[1,1,1,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,70,bf16]>
tensor<[1,12,1,70,f32]>
tensor<[1,12,1,70,f32]>
tensor<[1,12,1,70,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,70,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,70,bf16]>
tensor<[1,1,1,70,bf16]>
tensor<[1,1,1,70,bf16]>
tensor<[1,1,1,70,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,70,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,71,bf16]>
tensor<[1,12,1,71,f32]>
tensor<[1,12,1,71,f32]>
tensor<[1,12,1,71,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,71,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,71,bf16]>
tensor<[1,1,1,71,bf16]>
tensor<[1,1,1,71,bf16]>
tensor<[1,1,1,71,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,71,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,72,bf16]>
tensor<[1,12,1,72,f32]>
tensor<[1,12,1,72,f32]>
tensor<[1,12,1,72,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,72,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,72,bf16]>
tensor<[1,1,1,72,bf16]>
tensor<[1,1,1,72,bf16]>
tensor<[1,1,1,72,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,72,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,73,bf16]>
tensor<[1,12,1,73,f32]>
tensor<[1,12,1,73,f32]>
tensor<[1,12,1,73,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,73,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,73,bf16]>
tensor<[1,1,1,73,bf16]>
tensor<[1,1,1,73,bf16]>
tensor<[1,1,1,73,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,73,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,74,bf16]>
tensor<[1,12,1,74,f32]>
tensor<[1,12,1,74,f32]>
tensor<[1,12,1,74,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,74,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,74,bf16]>
tensor<[1,1,1,74,bf16]>
tensor<[1,1,1,74,bf16]>
tensor<[1,1,1,74,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,74,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,75,bf16]>
tensor<[1,12,1,75,f32]>
tensor<[1,12,1,75,f32]>
tensor<[1,12,1,75,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,75,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,75,bf16]>
tensor<[1,1,1,75,bf16]>
tensor<[1,1,1,75,bf16]>
tensor<[1,1,1,75,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,75,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,76,bf16]>
tensor<[1,12,1,76,f32]>
tensor<[1,12,1,76,f32]>
tensor<[1,12,1,76,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,76,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,76,bf16]>
tensor<[1,1,1,76,bf16]>
tensor<[1,1,1,76,bf16]>
tensor<[1,1,1,76,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,76,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,77,bf16]>
tensor<[1,12,1,77,f32]>
tensor<[1,12,1,77,f32]>
tensor<[1,12,1,77,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,77,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,77,bf16]>
tensor<[1,1,1,77,bf16]>
tensor<[1,1,1,77,bf16]>
tensor<[1,1,1,77,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,77,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,78,bf16]>
tensor<[1,12,1,78,f32]>
tensor<[1,12,1,78,f32]>
tensor<[1,12,1,78,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,78,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,78,bf16]>
tensor<[1,1,1,78,bf16]>
tensor<[1,1,1,78,bf16]>
tensor<[1,1,1,78,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,78,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,79,bf16]>
tensor<[1,12,1,79,f32]>
tensor<[1,12,1,79,f32]>
tensor<[1,12,1,79,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,79,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,79,bf16]>
tensor<[1,1,1,79,bf16]>
tensor<[1,1,1,79,bf16]>
tensor<[1,1,1,79,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,79,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
tensor<[1,1,1,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,80,bf16]>
tensor<[1,12,1,80,f32]>
tensor<[1,12,1,80,f32]>
tensor<[1,12,1,80,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,80,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,80,bf16]>
tensor<[1,1,1,80,bf16]>
tensor<[1,1,1,80,bf16]>
tensor<[1,1,1,80,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,80,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,81,bf16]>
tensor<[1,12,1,81,f32]>
tensor<[1,12,1,81,f32]>
tensor<[1,12,1,81,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,81,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,81,bf16]>
tensor<[1,1,1,81,bf16]>
tensor<[1,1,1,81,bf16]>
tensor<[1,1,1,81,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,81,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,82,bf16]>
tensor<[1,12,1,82,f32]>
tensor<[1,12,1,82,f32]>
tensor<[1,12,1,82,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,82,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,82,bf16]>
tensor<[1,1,1,82,bf16]>
tensor<[1,1,1,82,bf16]>
tensor<[1,1,1,82,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,82,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,83,bf16]>
tensor<[1,12,1,83,f32]>
tensor<[1,12,1,83,f32]>
tensor<[1,12,1,83,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,83,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,83,bf16]>
tensor<[1,1,1,83,bf16]>
tensor<[1,1,1,83,bf16]>
tensor<[1,1,1,83,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,83,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,84,bf16]>
tensor<[1,12,1,84,f32]>
tensor<[1,12,1,84,f32]>
tensor<[1,12,1,84,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,84,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,84,bf16]>
tensor<[1,1,1,84,bf16]>
tensor<[1,1,1,84,bf16]>
tensor<[1,1,1,84,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,84,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,85,bf16]>
tensor<[1,12,1,85,f32]>
tensor<[1,12,1,85,f32]>
tensor<[1,12,1,85,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,85,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,85,bf16]>
tensor<[1,1,1,85,bf16]>
tensor<[1,1,1,85,bf16]>
tensor<[1,1,1,85,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,85,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,86,bf16]>
tensor<[1,12,1,86,f32]>
tensor<[1,12,1,86,f32]>
tensor<[1,12,1,86,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,86,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,86,bf16]>
tensor<[1,1,1,86,bf16]>
tensor<[1,1,1,86,bf16]>
tensor<[1,1,1,86,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,86,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,87,bf16]>
tensor<[1,12,1,87,f32]>
tensor<[1,12,1,87,f32]>
tensor<[1,12,1,87,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,87,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,87,bf16]>
tensor<[1,1,1,87,bf16]>
tensor<[1,1,1,87,bf16]>
tensor<[1,1,1,87,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,87,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,88,bf16]>
tensor<[1,12,1,88,f32]>
tensor<[1,12,1,88,f32]>
tensor<[1,12,1,88,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,88,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,88,bf16]>
tensor<[1,1,1,88,bf16]>
tensor<[1,1,1,88,bf16]>
tensor<[1,1,1,88,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,88,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,89,bf16]>
tensor<[1,12,1,89,f32]>
tensor<[1,12,1,89,f32]>
tensor<[1,12,1,89,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,89,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,89,bf16]>
tensor<[1,1,1,89,bf16]>
tensor<[1,1,1,89,bf16]>
tensor<[1,1,1,89,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,89,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
tensor<[1,1,1,8,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,8,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,90,bf16]>
tensor<[1,12,1,90,f32]>
tensor<[1,12,1,90,f32]>
tensor<[1,12,1,90,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,90,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,90,bf16]>
tensor<[1,1,1,90,bf16]>
tensor<[1,1,1,90,bf16]>
tensor<[1,1,1,90,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,90,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,91,bf16]>
tensor<[1,12,1,91,f32]>
tensor<[1,12,1,91,f32]>
tensor<[1,12,1,91,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,91,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,91,bf16]>
tensor<[1,1,1,91,bf16]>
tensor<[1,1,1,91,bf16]>
tensor<[1,1,1,91,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,91,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,92,bf16]>
tensor<[1,12,1,92,f32]>
tensor<[1,12,1,92,f32]>
tensor<[1,12,1,92,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,92,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,92,bf16]>
tensor<[1,1,1,92,bf16]>
tensor<[1,1,1,92,bf16]>
tensor<[1,1,1,92,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,92,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,93,bf16]>
tensor<[1,12,1,93,f32]>
tensor<[1,12,1,93,f32]>
tensor<[1,12,1,93,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,93,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,93,bf16]>
tensor<[1,1,1,93,bf16]>
tensor<[1,1,1,93,bf16]>
tensor<[1,1,1,93,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,93,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,94,bf16]>
tensor<[1,12,1,94,f32]>
tensor<[1,12,1,94,f32]>
tensor<[1,12,1,94,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,94,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,94,bf16]>
tensor<[1,1,1,94,bf16]>
tensor<[1,1,1,94,bf16]>
tensor<[1,1,1,94,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,94,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,95,bf16]>
tensor<[1,12,1,95,f32]>
tensor<[1,12,1,95,f32]>
tensor<[1,12,1,95,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,95,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,95,bf16]>
tensor<[1,1,1,95,bf16]>
tensor<[1,1,1,95,bf16]>
tensor<[1,1,1,95,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,95,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,96,bf16]>
tensor<[1,12,1,96,f32]>
tensor<[1,12,1,96,f32]>
tensor<[1,12,1,96,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,96,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,96,bf16]>
tensor<[1,1,1,96,bf16]>
tensor<[1,1,1,96,bf16]>
tensor<[1,1,1,96,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,96,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 3, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,97,bf16]>
tensor<[1,12,1,97,f32]>
tensor<[1,12,1,97,f32]>
tensor<[1,12,1,97,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,97,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,97,bf16]>
tensor<[1,1,1,97,bf16]>
tensor<[1,1,1,97,bf16]>
tensor<[1,1,1,97,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,97,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,98,bf16]>
tensor<[1,12,1,98,f32]>
tensor<[1,12,1,98,f32]>
tensor<[1,12,1,98,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,98,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,98,bf16]>
tensor<[1,1,1,98,bf16]>
tensor<[1,1,1,98,bf16]>
tensor<[1,1,1,98,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,98,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,99,bf16]>
tensor<[1,12,1,99,f32]>
tensor<[1,12,1,99,f32]>
tensor<[1,12,1,99,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,1,99,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 12 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,1,99,bf16]>
tensor<[1,1,1,99,bf16]>
tensor<[1,1,1,99,bf16]>
tensor<[1,1,1,99,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,99,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 4, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
tensor<[1,1,1,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,1,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,256,256,bf16]>
tensor<[1,1,256,256,bf16]>
tensor<[1,1,256,256,bf16]>
tensor<[1,1,256,256,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,256,256,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 256 + d1 * 256 + d2, d3), memory_config: (8, 8, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,25,25,bf16]>
tensor<[1,1,25,25,bf16]>
tensor<[1,1,25,25,bf16]>
tensor<[1,1,25,25,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,25,25,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 25 + d1 * 25 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,32,32,bf16]>
tensor<[1,1,32,32,bf16]>
tensor<[1,1,32,32,bf16]>
tensor<[1,1,32,32,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,32,32,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 32 + d1 * 32 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,45,45,bf16]>
tensor<[1,12,45,45,f32]>
tensor<[1,12,45,45,f32]>
tensor<[1,12,45,45,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,12,45,45,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 540 + d1 * 45 + d2, d3), memory_config: (17, 2, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,1,45,45,bf16]>
tensor<[1,1,45,45,bf16]>
tensor<[1,1,45,45,bf16]>
tensor<[1,1,45,45,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,45,45,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 45 + d1 * 45 + d2, d3), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,5,5,bf16]>
tensor<[1,1,5,5,bf16]>
tensor<[1,1,5,5,bf16]>
tensor<[1,1,5,5,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,5,5,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 5 + d1 * 5 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,6,6,bf16]>
tensor<[1,1,6,6,bf16]>
tensor<[1,1,6,6,bf16]>
tensor<[1,1,6,6,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,6,6,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 6 + d1 * 6 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,7,7,bf16]>
tensor<[1,1,7,7,bf16]>
tensor<[1,1,7,7,bf16]>
tensor<[1,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,1,9,9,bf16]>
tensor<[1,1,9,9,bf16]>
tensor<[1,1,9,9,bf16]>
tensor<[1,1,9,9,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,1,9,9,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 9 + d1 * 9 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,20,bf16]>
tensor<[1,20,ui32]>
tensor<[1,20,ui32]>
tensor<[1,20,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,20,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,21,bf16]>
tensor<[1,21,ui32]>
tensor<[1,21,ui32]>
tensor<[1,21,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,21,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,22,bf16]>
tensor<[1,22,ui32]>
tensor<[1,22,ui32]>
tensor<[1,22,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,22,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,23,bf16]>
tensor<[1,23,ui32]>
tensor<[1,23,ui32]>
tensor<[1,23,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,23,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,24,bf16]>
tensor<[1,24,ui32]>
tensor<[1,24,ui32]>
tensor<[1,24,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,24,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,25,bf16]>
tensor<[1,25,ui32]>
tensor<[1,25,ui32]>
tensor<[1,25,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,25,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,26,bf16]>
tensor<[1,26,ui32]>
tensor<[1,26,ui32]>
tensor<[1,26,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,26,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,27,bf16]>
tensor<[1,27,ui32]>
tensor<[1,27,ui32]>
tensor<[1,27,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,27,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,28,bf16]>
tensor<[21,28,bf16]>
tensor<[21,28,bf16]>
tensor<[21,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[21,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,28,bf16]>
tensor<[3,28,bf16]>
tensor<[3,28,bf16]>
tensor<[3,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[3,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,28,bf16]>
tensor<[4,28,bf16]>
tensor<[4,28,bf16]>
tensor<[4,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[4,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,28,bf16]>
tensor<[1,28,ui32]>
tensor<[1,28,ui32]>
tensor<[1,28,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,28,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,29,bf16]>
tensor<[1,29,ui32]>
tensor<[1,29,ui32]>
tensor<[1,29,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,29,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,50257,bf16]>
tensor<[1,50257,f32]>
tensor<[1,50257,f32]>
tensor<[1,50257,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,50257,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1571, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[1,56,bf16]>
tensor<[3,56,bf16]>
tensor<[3,56,bf16]>
tensor<[3,56,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[3,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,56,bf16]>
tensor<[49,56,bf16]>
tensor<[49,56,bf16]>
tensor<[49,56,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[49,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,56,bf16]>
tensor<[4,56,bf16]>
tensor<[4,56,bf16]>
tensor<[4,56,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[4,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[1,5,bf16]>
tensor<[1,5,ui32]>
tensor<[1,5,ui32]>
tensor<[1,5,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,5,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,6,bf16]>
tensor<[1,6,ui32]>
tensor<[1,6,ui32]>
tensor<[1,6,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,6,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,7,bf16]>
tensor<[1,7,ui32]>
tensor<[1,7,ui32]>
tensor<[1,7,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,7,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,8,bf16]>
tensor<[1,8,ui32]>
tensor<[1,8,ui32]>
tensor<[1,8,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,8,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[1,9,bf16]>
tensor<[1,9,ui32]>
tensor<[1,9,ui32]>
tensor<[1,9,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[1,9,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[28,1,bf16]>
tensor<[28,28,bf16]>
tensor<[28,28,bf16]>
tensor<[28,28,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[28,28,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[2,1,7,7,bf16]>
tensor<[2,1,7,7,bf16]>
tensor<[2,1,7,7,bf16]>
tensor<[2,1,7,7,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[2,1,7,7,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 7 + d1 * 7 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[4,1,1,13,bf16]>
tensor<[4,1,1,13,f32]>
tensor<[4,1,1,13,f32]>
tensor<[4,1,1,13,f32]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[4,1,1,13,f32]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 + d1 + d2, d3), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
tensor<[4,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[4,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (7, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[56,1,bf16]>
tensor<[56,56,bf16]>
tensor<[56,56,bf16]>
tensor<[56,56,bf16]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[56,56,bf16]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (2, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
tensor<[64,49,49,bf16]>
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[64,49,49,bf16]>mapping_from: (d0, d1, d2), mapping_to: (d0 * 49 + d1, d2), memory_config: (98, 2, 'tile<32x32, bf16>', 'dram')nannan
ttnn.wheretensor<[6,6,bf16]>
tensor<[6,6,f32]>
tensor<[6,6,f32]>
tensor<[6,6,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[6,6,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[8,1,bf16]>
tensor<[8,1,ui32]>
tensor<[8,1,ui32]>
tensor<[8,1,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[8,1,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan
ttnn.wheretensor<[8,2048,bf16]>
tensor<[8,2048,f32]>
tensor<[8,2048,f32]>
tensor<[8,2048,f32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[8,2048,f32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 64, 'tile<32x32, f32>', 'dram')nannan
ttnn.wheretensor<[8,2,bf16]>
tensor<[8,2,ui32]>
tensor<[8,2,ui32]>
tensor<[8,2,ui32]>
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')
operandSegmentSizes: array<i32: 3, 1>tensor<[8,2,ui32]>mapping_from: (d0, d1), mapping_to: (d0, d1), memory_config: (1, 1, 'tile<32x32, u32>', 'dram')nannan